29 jobs found

Job Overview: Pay Range $45.96hr - $50.96hr Requirement/Must Have: 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve fitting, object-oriented programming). Ability to build multi-scenario models to test assumptions and evaluate alternative planning outcomes. Foundational to intermediate experience with ML frameworks and methodologies (scikit-learn, XGBoost, or similar). Understanding of model validation metrics (R , MAE, RMSE, cross-validation, custom scoring functions). Proficiency in SQL for querying, joining tables, data manipulation, and interpreting complex queries. Understanding of statistical modeling, hypothesis testing, and experimental design. Ability to independently explore enterprise datasets and identify patterns, gaps, and opportunities. Experience handling messy data, identifying inconsistencies, and standardizing formats across heterogeneous systems. Experience merging multiple datasets from various enterprise data sources (SAP, Salesforce, Databricks, ERP/CRM). Sharp eye for finding outliers, errors, and unusual patterns in structured and unstructured data. Understanding of data modeling concepts across heterogeneous systems. Experience developing models for scenario modeling and predictive use cases. Familiarity with Large Language Models (LLMs) and basic prompt engineering techniques for practical business applications. Ability to review existing dashboards, ML models, and reports to understand design patterns, business requirements, and underlying data sources. Strong capability to read and interpret complex SQL queries to understand data flows and business logic. Skills to trace data lineage, review prepared data sources, and comprehend underlying data structures. Experience working with Data Engineers to ensure data requirements are correctly implemented at pipeline and infrastructure level. Responsibilities: Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor systems, finance data) to identify patterns, gaps, and opportunities for data-driven improvements. Work with Program Managers and/or Operations leaders to define which data assets are relevant for business use cases and specify how data from different systems should be accessed, interpreted, and used. Transform structured/unstructured datasets (often 100k+ rows) into actionable insights. Conduct data quality checks and identify/resolve data defects and abnormalities across enterprise platforms. Develop and validate Machine Learning models that support demand forecasting, scenario modeling, and predictive use cases for short-term and long-term business goals. Document analytical findings, model performance, and data definitions clearly to ensure transparency and reproducibility across the team. Experience working with Data Engineers to ensure data requirements are correctly implemented; ability to build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows. Translate business technical data challenges into concrete data science and AI/ML problem statements, acting as the domain-aware bridge between Engineering/Operations and the Digital team. Leverage Large Language Models (LLMs) and prompt engineering to build intelligent tools that augment human decision-making and automate workflows. Design and execute scenario planning models to test business assumptions (demand forecasts, resource capacity, cost projections) and evaluate 'what-if' outcomes for strategic decision-making. Track project execution data across P6 (Primavera) and other project management systems, linking planning assumptions to actual execution performance. Support variance analysis between planned assumptions (forecast hours, budgets, timelines) and actual project execution data to identify gaps, root causes, and trends. Build automated tracking solutions that monitor assumption validity as projects progress through lifecycle stages (planning design execution closeout). Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis. Provide data pipeline and data to build executive dashboards that visualize assumption-to-execution alignment, highlighting projects at risk due to assumption breakdown. Review and analyze existing dashboards, models, and data pipelines to understand design patterns, business requirements, and data flows. Read and interpret SQL queries, business logic, and semantic models embedded in current reports and analytical systems. Understand underlying data structures and prepared data sources to support maintenance and enhancement. Identify opportunities to optimize or consolidate existing reporting and modeling assets. Maintain consistency with established data standards and best practices. Translate complex data findings and model outputs into clear, actionable business insights for both technical and non-technical audiences. Resolve customer and internal user queries related to model outputs, data insights, or data defects. Support the Operations team in delivering centralized data analysis-based reporting solutions (including KPI), providing harmonized insights and KPIs to business stakeholders across global business lines. Collaborate closely with cross-functional Data analysts and Data engineers to ensure data requirements are correctly understood and implemented at pipeline and infrastructure level. Build and maintain a deep understanding of Semantic Data Models to ensure consistent data interpretation across applications and business systems. Stay current with the latest advancements in AI, ML, and data science, proactively proposing new approaches that could enhance our solutions. Contribute to the evolution of Engineering Data Quality, bringing innovative ideas and a forward-thinking mindset to continuously improve our modeling and tooling landscape. Nice to Have: Experience with TensorFlow, PyTorch, neural networks, or deep learning applications. Experience with pytest or similar frameworks for data science code quality. Experience with P6 (Primavera), MS Project, or similar project execution systems. Model versioning, experiment tracking (MLflow, Weights & Biases), deployment basics. Familiarity with Azure, AWS, or GCP for data science workflows. Experience with fine-tuning, RAG (Retrieval-Augmented Generation), or agent frameworks. Understanding of data governance principles and responsible AI practices. First-hand experience with SAP, Salesforce, Databricks, or similar ERP/CRM systems from a data consumption perspective. Skills: Strong verbal and written communication skills. Excellent communication and presentation skills. Ability to communicate effectively with stakeholders. Analytical thinking with strong problem-solving abilities. Technical curiosity and willingness to learn new tools and techniques. Collaborative mindset and ability to work in dynamic environments. Self-motivated with a strong sense of accountability. Proactive communication style. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Stefanini Group is hiring! Stefanini is looking for a Java Developer, Dearborn, MI For quick apply, please reach out to Adil Khan at 248-728- 6424/ We are looking for a Java Developer who will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle, including designing software architecture, writing code, testing for quality, and deploying software to meet customer requirements. Full-stack software engineering roles, involving the development of all software components-including user interfaces and server-side applications-also fall within this job function. Key Responsibilities Lead and manage cloud migration projects from initiation through completion, ensuring timely delivery and adherence to scope and budget constraints. Develop and manage detailed migration plans, including timelines, resource allocation, and risk management strategies. Oversee the assessment, planning, and execution of application migrations across infrastructure, data, and application layers. Provide technical guidance on cloud architecture, security, and performance best practices. Collaborate closely with architects, engineers, product owners, and business stakeholders to support execution of the PLM cloud migration strategy. Troubleshoot and resolve migration-related issues by working with technical teams to identify and implement solutions. Serve as the primary contact for PDOs and Skill Team SPCOs, providing regular updates on migration progress, risks, and issues. Collaborate with business units to understand their requirements and ensure alignment with business goals. Provide deep technical expertise in integrating PLM systems with other enterprise applications, including ERP, CRM, and manufacturing systems. Identify potential risks and develop strategies to mitigate challenges during the migration process. Ensure migrations comply with organizational policies, industry standards, and regulatory requirements. Conduct post-migration reviews to assess project success, document lessons learned, and recommend improvements for future projects. Evaluate and enhance migration processes, tools, and methodologies to improve efficiency and effectiveness. Stay current with GCP updates, industry trends, and emerging technologies to incorporate best practices into migration strategies. Share knowledge and mentor team members to build internal expertise and capabilities. Skills Required Software Development, Spring Boot, REST APIs, Java, Machine Learning, AWS, GCP, COBOL Skills Preferred Product Management, J2EE, Artificial Intelligence & Expert Systems, Jenkins Experience Required 15+ years of hands-on Java development experience, including Java 8/11/17+, Core Java, Spring Boot, Spring Framework, and RESTful API design and development. Strong understanding of object-oriented design, microservices architecture, and enterprise integration patterns. Experience with build and CI/CD tools, including Maven or Gradle, Jenkins, and Git. Experience with unit testing frameworks such as JUnit and Mockito. Ability to design, develop, and maintain Java-based services that interface with legacy systems through APIs, message queues, batch integration, or similar mechanisms. Demonstrated experience modernizing legacy applications-including mainframe, monolithic, or on-premises systems-into cloud-native architectures using Java. Hands-on experience re-platforming or re-architecting legacy Java- or COBOL-based systems into containerized microservices using technologies such as Docker and Kubernetes. Experience with cloud platforms such as AWS, Azure, or GCP, as well as cloud-native patterns including 12-factor applications, event-driven architecture, and serverless technologies where applicable. Familiarity with the strangler-fig pattern, API-led integration, and other legacy-to-cloud migration strategies. Ability to assess legacy application portfolios and recommend modernization roadmaps, including rehost, replatform, refactor, and rearchitect approaches. Experience Preferred Practical experience building or integrating Generative AI solutions, including LLM-based applications, RAG pipelines, prompt engineering, embeddings, and vector databases. Familiarity with Generative AI frameworks and tools such as LangChain, OpenAI or Azure OpenAI APIs, Hugging Face, or similar technologies. Experience deploying Generative AI capabilities into enterprise applications, including chatbots, document summarization, code assistance, and data extraction solutions. Understanding of responsible AI practices, including data privacy, model governance, and output validation in enterprise contexts. Experience leveraging Generative AI to accelerate cloud-native modernization efforts, such as AI-assisted code conversion and refactoring, legacy code comprehension, automated test generation, and documentation of undocumented legacy logic. Familiarity with using Generative AI tools to analyze legacy codebases and assist in re-architecting them into cloud-native Java solutions. Education Required Bachelor's degree Education Preferred Certification program Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research, analytics, and AI initiatives. The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts to develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs). The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building machine learning models, creating AI-powered applications, fine-tuning foundation models, implementing retrieval-augmented generation (RAG) systems, and supporting deployment of AI solutions in secure cloud environments. The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and a demonstrated interest in applying modern AI technologies to solve complex research and business problems. Location: This is a hybrid role based in our Washington, DC and Chicago downtown offices, with a minimum of six days per month in the office. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Methodology and Quantitative Social Sciences The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects. RESPONSIBILITIES: Collaborate with methodologists and subject matter experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives. Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks. Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis projects in NORC's research focus areas. Develop prompt engineering strategies and evaluation frameworks for generative AI systems. Implement model monitoring, testing, validation, and performance optimization processes. Apply natural language processing techniques for text classification, information extraction, summarization, and content analysis. Support experimentation with AI agents, tool calling, and workflow automation. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis. At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered). Advanced proficiency in Python. Strong experience with SQL and relational databases. Experience developing software, data pipelines, or analytical applications. Experience conducting statistical analysis and machine learning using real-world datasets. Knowledge of supervised and unsupervised machine learning methods. Experience working with Git and collaborative development workflows. Strong problem-solving and analytical skills. Excellent communication and technical writing skills. Ability to explain technical concepts to diverse audiences. Preferred Skills: Familiarity with AI agents and workflow orchestration frameworks. Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash). Developing machine learning models, data pipelines, and AI-powered applications, as described above, to support social science research. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $90,000-$100,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Position Title: Staff Data Scientist Description: Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI

Job Overview: Pay Range: $75hr - $80hr Requirement/Must Have: 10+ years of experience in AI and MLOps. Strong Python programming skills. Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of SQL and data processing. Familiarity with cloud services (AWS, Azure, or GCP). Exposure to MLOps tools such as MLflow, Kubeflow, Docker, Kubernetes, Git, or Jenkins. Strong analytical and problem-solving skills. Responsibilities: Design, develop, and deploy machine learning models. Build data pipelines and perform data preprocessing and feature engineering. Develop AI/ML solutions using Python, TensorFlow, PyTorch, or Scikit-learn. Work with cloud platforms (AWS, Azure, or GCP) to deploy ML solutions. Implement basic MLOps practices, including model deployment, monitoring, versioning, and CI/CD for ML workflows. Monitor model performance and retrain models as needed. Collaborate with data scientists, software engineers, and business stakeholders. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Genesis10 is currently seeking an Enterprise Architect for a direct hire opportunity with a Major Financial Services Firm located in Camas, WA or Plano, TX. The Enterprise Architect will bring strong cross-domain expertise, strategic thinking, and executive presence. This is a strategic leadership role where you will work across domains to lead enterprise-wide architecture decisions for scalable data and AI modernization. Reporting to the Vice President, Enterprise Architecture and Standards, you will be a facilitator and diplomat who can influence CXO-level stakeholders while remaining deeply involved in execution. In addition to the base salary, this position is eligible for a discretionary bonus based on firm and individual performance. Responsibilities: Drive enterprise level architecture across multiple business domains, ensuring alignment with organizational strategy Lead discussions with senior stakeholders and bring clarity to complex technical decisions Lead the standardization of metadata practices across domains, ensuring discoverability, lineage, and governance Design and evolve enterprise-level semantic data models, including logical and conceptual models, ontologies, and domain definitions Partner with product, engineering, data, and AI teams to ensure data supports reporting, analytics, and AI use cases Provide feedback that directly shapes the next generation of AI models Knowledge of Machine Learning Operations (MLOps) workflows and tools for deploying, managing, and monitoring AI models in production Actively participate in design, discussions, and delivery-not just governance-with hands on engagement Review AI-generated code to ensure it is accurate, efficient, and high quality Stay current on AI and data trends to help the organization evolve Requirements: 15 years of experience in IT 5 years of experience in: An Enterprise Architect role AI and ML Architectures 2 years of experience in: Data-focused A1 tools Leading Enterprise Architecture initiatives Proficient in tools such as Purview, Unity catalog, Erwin, or other semantic/metadata platforms Deep experience with Microsoft Azure and their AI and data services Experience working with the Financial Services Industry Bachelor's degree in computer science, Information Systems, Engineering, or equivalent work experience Pay range: $200,000 - $240,000 per year If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Analyst II to join the Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. For this role, we are looking for someone proficient in SAS, R, and Python. As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Location: This is a hybrid role based in either our Chicago Loop or downtown Washington, DC office, with a minimum of six days per month in the office. DEPARTMENT: Statistics and Data Science The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Statistics and Data Science department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, data disclosure control, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI) that support NORC's research. The department collaborates with the departments throughout NORC, as well as leading its own projects. RESPONSIBILITIES: Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management and analysis activities. Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries. Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations. Perform various types of data analysis and modeling, often involving multiple data sets. Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics. Apply AI tools to help improve efficiency. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in one of the following fields: statistics, math, data science, computer science, or computational social science or related field required. Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization. At least 2 years' experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical and quantitative modeling, statistical/analytic programming, and data mining Strong foundation in areas of statistics, mathematics, and data science. Coding skills in SAS, R, and Python required. Additional expertise in areas of machine learning such as natural language processing and supervised/unsupervised modelling preferred. Experience using AI tools and methods (e.g., prompt engineering, agentic AI, model evaluation) is preferred. Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs. Outstanding interpersonal and critical reasoning skills. Proficiency with MS Office software. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $72,000 - $88,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

The St. Luke's School designLab seeks a full-time Collaborator to support creative projects across the school, maintain the designLab equipment, and provide supervision in the space throughout the day. The designLab is the SLS innovation space, dedicated to supporting student and faculty inquiry through design thinking, emerging technologies, and project-based learning. By providing resources, expertise, and opportunities for creative problem-solving, the designLab equips interdisciplinary collaboration and helps transform ideas into meaningful projects. The designLab itself is a state-of-the-art, 4000+ sq ft digital and physical fabrication lab. We currently host computer science and engineering program courses related to Engineering. We manage and run a 5th-12th-grade Collaborations Program to inspire and engage students across all disciplines. We develop and deliver signature experiences such as Middle and Upper NHRL Robotics Teams, Middle School Maker Club, STEM Nights, and hands-on Themed Innovation Experiences. The designLab Collaborator will seize a rare opportunity to utilize their skills in an innovative program and school community, access top-of-the-line resources and mentorship, and launch into a field that is exploding in impact on the educational landscape. We are looking for a Collaborator who loves to solve problems and model curiosity for lifelong learning. This is a full-time, 12-month, exempt position with excellent benefits including medical, dental, and life insurance as well as an employer-matching retirement savings plan. Primary Job Responsibilities Ensure a safe, actively monitored, and well-maintained Innovation Space for use by all SLS community members. Support active projects in the designLab through supervision, monitoring tool usage, and mini-lessons, such as a demo of tool usage and safety protocols. Supervise students in the designLab during scheduled appointments and Club Time. Support designLab faculty colleagues via prefabrication and prep of collaborations; when needed, review and edit STL/SVG/DXF files, and monitor execution and output. Create template files in Adobe Illustrator, Google Slides, and Onshape. Serve as a collaborative thought partner, developing and participating in collaborations across all subject areas and grade levels. Follow the Design Thinking Process for all projects. Create a project library for the Collaborations Program. Share and actively update the Collaborations calendar in addition to maintaining an accurate Google Calendar. Promote designLab competitions and events through announcements at school and via partnership with the Marketing and Communications team. Support existing summer camps hosted in the designLab; explore creating additional designLab offerings in the summer months through Assist during Innovation Events, Open Maker Nights, Skills Sessions, STEM Night Activities, and Admissions Events. Work with the school's technology staff to ensure the Lab's computers and mobile devices have appropriate software installed, up to date, and functioning properly. Take initiative to pursue new ideas and applications for emerging tech. Other duties as assigned by the school. Lab Operations and Safety Responsibilities Support routines at the end of each Collaboration period: teachers and students clear all classroom surfaces of materials; ensure machines are free of debris at the end of each use. Complete daily end-of-day clean up to put all materials away from classes and activities: Engage with Activities leaders to put away materials from Robotics/Makers. Adhesives and brushes are cleaned and put away All tools turned off Once a week, dust behind 3D printers and along countertops; clear 3D printer scraps; wipe down table surfaces; dry mop floor. Before a school vacation: Clean up all surfaces and deactivate tools and machines Assess or replace belts, blades, and bits. Organize bits, tools, clamps, and adhesives Remove keys from tools, turn off machines and tools, and lower/lock blades Lock cabinet containing drills, drivers, routers, saws, utility knives, and chisels Key Skills and Qualities Experience working with middle and high school-aged adolescents Passion for innovation and creative problem-solving Familiarity with CAD software required; experience with Arduino, Open Source Programming, LEGO Spike Prime, and MicroBits, helpful but not essential Experience using tools and technology creatively, especially fabrication technologies such as 3D printers, CO2 lasers, CNC routers, and general woodshop materials and power tools Experience modeling objects in 2D and 3D, prototyping, and physical computing Positive attitude with demonstrated ability to self-start independently and work as a team Patience, flexibility, and a sense of humor Strong cultural competency skills, with demonstrated commitment to furthering an equitable and inclusive community that supports a strong sense of belonging Excellent oral and written communication skills Detail-oriented with strong follow-through Ability to quickly develop expertise with and support new systems, software, and tools Located in New Canaan, Connecticut, St. Luke's attracts families from over 35 towns throughout Connecticut and New York. A combination of challenging academics and truly exceptional community support distinguishes St. Luke's and encourages our students to go above and beyond their own expectations. The school offers an inclusive environment where differences in race, culture, and personal beliefs are embraced as assets that enhance education. St. Luke's prides itself on being a forward-thinking school where students hone their own distinct leadership skills - developing a strong moral compass, the commitment to serve, and the confidence to lead. St. Luke's School is an equal opportunity employer. St. Luke's School does not discriminate on the basis of race, color, religion, sex, pregnancy, national origin, ancestry, citizenship, age, marital status, disability, veteran status, sexual orientation, or any other basis prohibited by law with regard to hiring, terms and conditions of employment or educational programs. We strive to provide a welcoming educational environment where the value and dignity of every member is respected.

EIS QA Engineer II (Hybrid) Primary Location: Mississauga, Ontario V-Soft Consulting is currently hiring for an EIS QA Engineer II for our premier client in Mississauga, Ontario. Education and Experience " Proven experience in a quality assurance, testing, or data analysis role, preferably within the AI/ML domain. A deep understanding of the machine learning lifecycle and the common failure modes of AI models. Hands-on experience with data annotation, data validation, and managing large datasets. Meticulous attention to detail and a methodical approach to problem-solving. Strong analytical skills with the ability to identify patterns in data and draw meaningful conclusions. Expertise with industry-standard test automation tools and libraries (e.g., Selenium, Playwright, Cypress, REST-assured). Experience in testing across different platforms (e.g. comprehensive testing of mobile Android/iOS and web applications). Experience with bug tracking systems (e.g., Jira) and test case management tools. Scripting skills (e.g., Python) for test automation and data manipulation. (Preferred) experience in testing AI systems, including evaluating agentic responses, model performance metrics, and data integrity. Excellent communication skills, with the ability to clearly document bugs and articulate complex technical issues. Familiarity with computer vision or other specific AI domains relevant to our work. WHAT YOU'LL DO: Job Responsibilities: Evaluation Strategy & Benchmark Development: Design, develop, and maintain a comprehensive suite of test cases and evaluation benchmarks. Proactively identify potential model failure points, including edge cases, adversarial inputs, and sources of bias. Error Analysis & Failure Triage: Conduct systematic error analysis to categorize model failures and identify underlying patterns. Triage defects, prioritize them based on severity and impact, and work with the development team to ensure resolution. Data Sourcing & Curation: Source, curate, and manage high-quality datasets for model evaluation and testing. This includes performing data annotation and validation to ensure the integrity of our ground-truth data. Exploratory & Adversarial Testing (Red Teaming): Perform unscripted, exploratory testing to discover unexpected model behaviors. Participate in red teaming exercises to intentionally challenge our models and identify potential safety and security vulnerabilities. Test Environment Management: Set up, maintain, and troubleshoot testing and demonstration environments to ensure a stable and reliable evaluation pipeline. Reporting & Insights: Analyze and synthesize test results into clear, actionable reports for both technical and non-technical stakeholders. Translate complex findings into concrete recommendations for model improvement. Process Improvement: Actively participate in post-hoc evaluation reviews and contribute to the continuous improvement of our testing methodologies, tools, and overall quality assurance processes. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

W2 job to a staffing company Top skills: -Data Modeling -Machine Learning -Artificial Intelligence Schedule: Fully onsite KEY RESPONSIBILITES/REQUIREMENTS: As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers Specific Responsibilities include: • 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods. • 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment. • Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring. • Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful. • Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation. • Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions. • Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products. • Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts. • Communicate key findings to stakeholders using visualizations and/or other suitable methods. • Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression. • Able to compile analysis output and findings into a succinct story for technical and non-technical audiences. • Adapt to changes in a dynamic business environment and, support management initiatives. Background & Competencies Required: • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred. • Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc. • Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake • Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling. • Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc). • Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing. • Experience with MLOPS concepts and environments such as MLFLOW a plus. • Experience with basic linux administration and software development in a linux environment. • Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus • Must possess qualities of being curious and eagerness to learn . • Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices. • Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired. • Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus. • Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus. • Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired. • Must have a strong work ethic, integrity and work extremely well independently or in a team environment. Physical/Mental Demands and Working Conditions: The position requires the ability to perform the essential duties and responsibilities in the following environment: • Excellent interpersonal and communication skills. Must be skilled in developing and maintaining good working relationships with all appropriate levels within and outside the company. • Operate a computer keyboard and view a video display terminal more than 75% of work time in an office work environment • Frequently works additional hours beyond normal schedule. • Performs work under time schedules and stresses which are normally periodic or cyclical and include time sensitive job stress, fatigue, unpaid over-time, intellectual challenge, constant technical data feedback, language barriers, and project management stress. • Machines, tools, equipment, and work aids include PC's, printers, etc. most often associated with office work area equipment.

About Bering Straits Professional Services Paragon offers a wide range of environmental investigation, consulting, compliance, and remediation services as well as IT solutions, Facility O&M, Materiel Support, Supply and Security to both private- and public-sector clients throughout Alaska and the Continental U.S. Paragon's experienced professional staff is dedicated to producing high-quality documentation and providing safe field execution to support its clients' projects in line with local, state and federal guidelines and regulations. About this position: Sr. Cybersecurity Incident Response Specialist Location - Washington, DC The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: $100k - $120k Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Member of the SOC team which provides 24 hours per day, 7 days per week, 365 days per year monitoring and incident response services for the organization's Network, Systems, Applications, and Web services. Provide senior level cybersecurity incident response expertise in support of the client's Incident Response processes and procedures. Develop operational baselines such data flows and application interactions to enhance SOC's ability to respond to incidents. Prepare and manage playbooks and relevant scenarios in addition to narratives and visual diagrams and review continuously, in compliance with NIST SP 800-61 and Government guidance. Follow current guidance from NIST 800-61, Federal Incident Notification Guidelines, CISA's Incident Response and Vulnerability Playbook, and client guidance. Monitor system status and sensor data from deployed sensors and triage for validity from Security Information and Event Management (SIEM) System, email, texts, phone calls and all enterprise managed dashboards. Analyze all sources including network traffic, identity, fault, performance, and bandwidth information, alerts and data to augment detection of network anomalies and unauthorized activity. Meet regularly with client stakeholders to develop content, analytic rules, alerts, dashboards, automation and identify ways to improve availability and efficiency of client's incident response program. Categorize, Prioritize, and Report on cybersecurity events in accordance with (IAW) SOPs and other relevant policies documents. Implement cybersecurity mitigations leveraging client tools and systems. Create and escalate cybersecurity-related investigations to both internal and external entities such as DHS or other Government Agencies with client and Federal defined timelines. Manage, coordinate, and respond to FOIA, audits, data calls, e-discovery and information requests. Schedule and execute incident response tabletop exercises with each client FISMA system on an annual basis. Review and handle phishing messages reported by client staff. Required (Minimum Necessary) Qualifications Education Requirements: High School or GED-General Educational Development-GED Diploma Bachelor's degree in computer science or equivalent is preferred Level of Experience Requirements: Minimum of five years hands-on experience Proven experience detecting, triaging, and responding to cyber incidents across enterprise networks and cloud environments. Knowledge, Skills, Abilities, and Other Characteristics Proficiency with SIEM, EDR/XDR platforms, and forensic tools. Strong understanding of threat actor TTPs, MITRE ATT&CK framework, and incident containment strategies. Ability to analyze network traffic, logs, and endpoint telemetry to identify malicious activity. Familiarity with malware analysis, reverse engineering basics, and memory analysis concepts Experience developing and tuning detection rules, playbooks, and automated response workflows. Working knowledge of incident response frameworks (e.g., NIST SP 800-61, SANS). Understanding of vulnerability management, threat intelligence integration, and SOC metrics/reporting. Understanding of basic computer and networking technologies. Windows and Linux/Unix operating systems Networking technologies (routing, switching, VLANs, subnets, firewalls) Common networking protocols - SSH, SMB, SMTP, FTP/SFTP, HTTP/HTTPS, DNS, etc. Common enterprise technologies - Active Directory, Group Policy, and the Microsoft Azure suite of cloud services. Understanding of current system logging technology and retrieving information from a plethora of technology platforms. Ability to work well in a team environment. Self-starter with ability to work with little supervision. Willingness to take on and adapt to new, open-ended tasks for which there is no current standard operating procedure. Ability to research independently and self-teach. Strong analytical and decision-making skills under pressure. Excellent written and verbal communication, including incident documentation and executive briefings. Ability to lead investigations, mentor junior analysts, and collaborate with cross-functional teams. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Accordingly, U.S. Citizenship is required. Preferred Interest in security/hacking culture. Ability to "think like an attacker" General cybersecurity certifications (one or more of the following preferred): CompTIA Security+ CompTIA Cybersecurity Analyst (CySA+) Certified Ethical Hacker (CEH) GIAC Certified Incident Handler (GCIH) Any cloud security certification, especially: CompTIA Cloud+ Certified Cloud Security Professional (CCSP) Cloud Security Alliance Certificate of Cloud Security Knowledge (CCSK) Any Microsoft 365/Azure cybersecurity certification, especially: Microsoft Certified: Security Operations Analyst Associate (SC-200) Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900) Microsoft Certified: Azure Fundamentals (AZ-900) Microsoft Certified: Azure Security Engineer Associate (AZ-500) Familiarity with the Microsoft 365 and Microsoft Azure suite of products, including Microsoft Sentinel and Microsoft 365 Defender. Knowledge of common enterprise technologies, policies, and concepts such as: Microsoft Sentinel SIEM Kusto Query Language (KQL) Mobile device technologies (iOS, Android) Scripting experience (PowerShell, Python, etc.) Microsoft Power BI Azure DevOps Artificial Intelligence (AI) / Machine Learning (ML) expertise In-depth knowledge of AI and ML concepts. How to practically apply AI/ML technologies to enhance cyber threat hunting and incident response capabilities. Experience with specific AI services offered within Microsoft Azure. Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Physical Setting: Washington DC Schedule and Flexibility: Full Time in Office Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

Stefanini Group is hiring! Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to Parul Singh at / We are looking for Data Engineer who will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle, including designing software architecture, writing code, testing for quality, and deploying software to meet customer requirements. Full-stack software engineering roles, in which employees develop all components of software-including the user interface and server side-also fall within this job function. Key Responsibilities Oversee and contribute to the design, development, and implementation of complex, scalable, and resilient data architectures, including data warehouses, data lakes, and streaming platforms. Lead the creation, maintenance, and optimization of advanced ETL/ELT processes and data pipelines to ingest, transform, and deliver large volumes of data from diverse sources. Ensure data integrity, quality, and performance across all data flows. Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, and related components. Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application. Define and implement software test strategies, guidelines, policies, and processes in line with organizational vision, industry regulations, and market best practices. Continuously improve performance, optimize applications, and implement new technologies to maximize development efficiency. Develop and maintain back-end applications such as APIs and microservices using server-side languages. Required Skills NoSQL, Kubernetes, Kafka, GCP, Cloud Architecture, Data Architecture, Big Data, Cloud Infrastructure, Apache Spark, BigQuery, Apache Hadoop, Java, Docker, Python, Data Management Preferred Skills GitHub, Machine Learning Required Experience 5+ years of progressive experience in data engineering or a related role, with a significant focus on large-scale data systems. Expert proficiency in programming languages such as Python or Scala. Advanced SQL skills for complex querying, data manipulation, and database design. Extensive experience with big data technologies, such as Apache Spark, Hadoop, Kafka, and Flink. Proven experience with cloud platforms, including AWS, Azure, or GCP, and their data services, such as: AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow Strong understanding of data warehousing concepts, data modeling-including dimensional and relational models-and ETL/ELT processes. Experience with version control systems such as Git. Education Required Bachelor's Degree Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

The City of Lake Worth Beach invites qualified individuals to apply for the position of O perational Technology (OT) Network Engineer. The Full Time, Non-Bargaining, Exempt position with a salary rate of $67,275 - $90,563. Working at the Utilities Building located at 1900 2nd Avenue North, Lake Worth, FL 33461. The U.S. Department of Energy's Grid Deployment Office has selected the City of Lake Worth Beach for investment via the Grid Resilience and Innovation Partnerships (GRIP) program to enhance grid flexibility, install more than 60 reclosers and other sectionalizing devices to autonomously rebalance the electrical system, integrate battery energy storage (BES) for community solar, new fiber optics connections, install advanced metering infrastructure (AMI), and deploy a meter data management (MDM) system. Positions covered under this GRIP Grant will expire / terminate in accordance with the grant's timeline: this position will expire on the same date that the grant expires. The regular work schedule for these positions is Monday through Friday. All positions are in-person and / or on-site. All candidates must be United States citizens. JOB SUMMARY: Reporting to the GRIP Grant Project Administration Manager, the Operational Technology (OT) Network Engineer is a highly skilled technical position that is responsible for network operations including to administer, maintain and improve all critical infrastructure industrial control systems supporting the City's electric utility. This position involves the installation, configuration and compliance of SCADA, Human Machine Interface, network switches, routers, firewalls, virtualized servers, security and applications. ESSENTIAL FUNCTIONS: Essential functions, as defined under the Americans with Disabilities Act, may include the following tasks, knowledge, skills and other characteristics. This list is illustrative only and is not a comprehensive listing of all functions and tasks performed by incumbents of this class. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform related work as required. The examples of essential functions as listed in this classification specification are not necessarily descriptive of any one position in the class. The omission of an essential function of work does not preclude management from assigning duties not listed herein if such functions are a logical assignment in relation to the position. The position involves managing and maintaining operational technologies including SCADA systems, VMware, Windows server, switches, routers, firewalls, and wireless radio systems. Document existing architectures, and update documentation as the modifications are made. Manage backups, replication and a disaster recovery plan. Implementing and maintaining best practices including compliance with government regulations. Must work collaboratively with other members of the City of Lake Worth Beach staff, technology providers and contractors.Ability to work independently and as part of a team depending on the assignment or situation.Strong analytical and critical thinking, with the ability to identify opportunities that can improve efficiency.A clear understanding of client/server technology and network architecture.Good communication skills, including writing, speaking and active listening.Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities.Take a leadership role with the data networks. Planning, installing, and maintaining physical and logical network and network infrastructure devices such as routers, switches, backup systems, security appliances, network security, server hardware, server operating systems, networked applications, and physical connectivity.Manage and maintains network operations and associated equipment; remote access systems, cabling, VPN clients, Windows-based operating systems, and other networked and/or stand-alone applications. Perform advanced server operations on Windows server platforms.Responsible for backup, restore, and data/server replication and patching.Keep current on updates and informs management and department members as changes may affect data and voice network operations. SUPERVISION: This role has no supervisory responsibilities. MINIMUM QUALIFICATIONS: To perform this job successfully, an individual must be able to carry out each essential duty or responsibility satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities; education and/or experience; and certificates or licenses required in order to fill the position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.Must have been employed in the Network Engineer field for the past one to two years performing the duties outlined in this job description.Valid Florida driver's license, with vehicle available to get to other City locations. KNOWLEDGE, SKILLS, AND ABILITIES: Knowledge of Microsoft Server products.Knowledge of networking, routing, and switching protocols and proper network design infrastructure.Excellent working knowledge Windows network environments, including but not limited to: Windows Server OS and applications, Anti-Virus programs, TCP/IP connectivity, Internet, and MS Office Suite.Skill in the installation, repair, and maintenance of information technology systems.Skill in planning, organization, and decision making.Able to produce written documents in the English language with clearly organized thoughts using proper sentence construction, punctuation, and grammar.Able to act independently and logically to implement policies of supervisor. Able to comprehend and make inferences from written material. Able to learn job-related material primarily through oral instruction and observation. This learning takes place mainly in an on-the-job training setting. Able to effectively manage multiple tasks at once. PHYSICAL REQUIREMENTS: Tasks may involve extended periods of time at a keyboard or workstation and extended periods of time standing and/or walking. SENSORY REQUIREMENTS: Some tasks require manual dexterity, in addition to visual and hearing acuity. Some tasks may involve identifying and distinguishing colors. Some tasks require the ability to perceive and discriminate visual cues or signals. Some tasks require the ability to communicate orally and in writing. All full-time employees are considered critical in response to emergency situations and may be deemed essential as needed depending on the situation. Employees in this position will be required to complete the FEMA Incident Command System (ICS) Certification Levels 100, 200, 700 and 800 within the first six months of employment. Certain positions may be required to attain additional ICS training as needed. The job description does not constitute an employment agreement between the City of Lake Worth Beach and the employee and is subject to change by the employer as the needs of the employer and requirements of the job change. The City of Lake Worth Beach is an Equal Opportunity Employer. In compliance with United States Equal Employment Opportunity guidelines and the Americans with Disabilities Act, this organization provides reasonable accommodation to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer. Applicants for positions with the City of Lake Worth Beach should know and be aware of the following: Applicants for employment who become candidates for available employment positions should note employment is contingent upon satisfactory completion of all reference checks and pre-employment physical satisfaction. Upon request, information on the nature and scope of an inquiry will be provided under FS 119. Furthermore, some of the job classifications within the City of Lake Worth Beach workforce are covered by Collective Bargaining Agreements with a union. Consistent with Chapter 447 of the Florida Statutes, a bargaining unit employee has the right to join or not join the union. However, the Union is not obligated to represent a non-member. Compensation details: 3 Yearly Salary PI46fe3a35d3fd-4160

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like agents. You will work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism. You will contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning,Simulation, and Validation to solve the overall Autonomous Driving problem. Qualifications PhD degree in computer science or related field +1y of professional experience (top tier publications can remove the need for the year of experience) or, MSc +5y of professional experience in a relevant field. Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in Python with a basic understanding of C++ Bonus Qualifications Top tier publications (NeurIPS, ICML, CVPR) There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a Senior Staff AI Engineer with a combination of architectural expertise and production rigor to lead the development of an Agentic Framework to support our AI applications. In this role, you will be the technical anchor for our AI offerings, working to deliver a production-grade Agentic Operating Layer for software-defined vehicles. This is a 50% Architecture / 50% Implementation position. You will be responsible for designing and implementing an extensible architecture that bridges high-velocity vehicle telemetry with sophisticated AI reasoning. We need a leader who is collaborative by nature but decisive in execution-someone who can drive architectural consensus and take full accountability for the performance, safety, and scalability of the resulting system. Responsibilities: Lead the architecture and design of an extensible AI platform. Drive architectural consensus across teams on AI-core decisions to ensure platform unification. Lead the development of agentic orchestration by designing and implementing mission-critical components that allow AI agents to decompose complex goals into actionable sub-tasks. Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth). Strong domain expertise in the AI area, including LLM, RAG, fine-tune large models, traditional ML models, etc. (AI depth) Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art) Perform data analysis and offer insights to inform business decisions across multiple domains. Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information. Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations. Take charge of projects, ensuring timely completion in a dynamic work environment. Qualifications: Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required. 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments. Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions. Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases. Proven experience building multi-agent systems and frameworks with adaptive orchestration Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms. Solid experience in data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong knowledge of software development best practices, version control systems, and agile methodologies. Results-driven with a positive can-do attitude and excellent problem-solving skills. Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in the automotive industry is highly desirable. Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable. Benefits Offered: Competitive compensation and equity program Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 15 paid holidays Hybrid office work arrangement/flexibility Perk Offerings include: Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowances (towards gym membership and fitness programs) Internet reimbursement Computer Accessory Allowance Employee Engagement Offerings: Departmental team building and outings Employee Referral Program Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,500-$300,000 USD