442 jobs found

Job Description We are looking for a highly experienced Senior AI & Data Analytics Architect to join our team and lead the design, development, and deployment of enterprise-scale AI, ML, and GenAI solutions. Role- AI Data Architect Location- Remote (Preferred - Columbus, Ohio and / OR Edison, NJ) 10+ years of experience in Data Analytics, Software Engineering, Data Engineering, or Machine Learning Engineering 5+ years of hands-on experience in Advanced Analytics and Measurement 3+ years of experience designing and delivering production-grade AI/ML and Generative AI solutions following skills: Measurement and analytics: Designs measurement frameworks, KPIs, and success metrics that tie AI and business initiatives to measurable outcomes. Experienced with A/B testing, multivariate testing, causal inference, attribution modelling, and marketing mix modelling. Advanced data analytics: Strong in statistical analysis, predictive modelling, and data storytelling. Turns complex datasets into actionable insights for business and executive stakeholders. BI and visualization: Proficient in Tableau, Power BI, Looker, and Google Analytics/GA4. Builds self-service dashboards and reporting layers. Data platforms: Hands-on with Snowflake, Databricks, BigQuery, Redshift, dbt, and ETL/ELT pipelines. Brings strong data modelling and data quality practices. Architecture: Designs end-to-end AI and analytics architecture, including data ingestion, model training, serving, monitoring, measurement, and governance. Can design solutions that scale, stay secure, and keep costs under control. GenAI and agents: Hands-on with LLMs, RAG, vector databases (Pinecone, Weaviate, pgvector), prompt engineering, fine-tuning, agentic frameworks (LangChain, LlamaIndex, Semantic Kernel), and LLM evaluation and guardrails. AI performance measurement: Defines and tracks model and LLM quality metrics, ROI, adoption, and business impact. Builds observability and drift detection into production AI systems. Cloud AI platforms: Expert in at least one of AWS (SageMaker, Bedrock), Azure (Azure ML, Azure OpenAI, AI Foundry), or GCP (Vertex AI). Also proficient in Kubernetes, Docker, and Terraform. MLOps and LLMOps: Experience with CI/CD for models, MLflow, Kubeflow, feature stores, and model registries. Languages and frameworks: Proficient in Python, R, SQL, PyTorch, TensorFlow, Hugging Face, and FastAPI. Responsible AI: Applies data privacy, security, and compliance requirements (GDPR, HIPAA, SOC 2) and AI governance practices to the design. Leadership: Can lead client discovery, write solution proposals and estimates, guide analytics, ML, and data engineering teams, and explain insights and architecture decisions to executive stakeholders. Preferred: Cloud or AI certifications, such as AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer, and analytics certifications, such as Tableau, Power BI, or GA4.

Job Description Position Overview We are seeking an experienced Application Architect to lead the design, development, and implementation of enterprise data, analytics, and AI solutions. The ideal candidate will have extensive experience with Microsoft Power BI, Azure Data Factory, Databricks, and multi-cloud platforms. This role will provide technical leadership in building scalable, secure, and high-performing data platforms that support enterprise reporting, business intelligence, data engineering, and AI initiatives. Key Responsibilities Design and implement scalable enterprise data and analytics architectures using cloud technologies. Develop, deploy, and maintain Power BI dashboards, reports, data models, and semantic layers. Design and manage Azure Data Factory pipelines and cloud-based ETL/ELT solutions. Build and optimize data ingestion, transformation, and orchestration processes. Administer Databricks environments, including workspace configuration, cluster management, security, and performance tuning. Deploy, configure, and manage cloud infrastructure across Microsoft Azure, AWS, and Google Cloud Platform (GCP). Ensure data quality, reliability, scalability, and security across enterprise data platforms. Implement DevOps practices, CI/CD pipelines, infrastructure automation, and cloud security measures. Research and evaluate emerging technologies in data engineering, analytics, machine learning, and generative AI. Collaborate with business stakeholders, engineers, and analysts to translate requirements into technical solutions. Provide technical guidance, review solution designs, and mentor development and engineering teams. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience. 10+ years of experience designing, developing, and supporting enterprise applications, analytics, and data solutions. Extensive experience with Microsoft Power BI, including dashboard development, DAX, semantic models, and workspace administration. Strong experience designing and maintaining Azure Data Factory pipelines and cloud-based ETL/ELT solutions. Hands-on experience administering and supporting Databricks environments. Experience deploying and managing cloud resources across Azure, AWS, and GCP. Strong understanding of data warehousing, data lakes, dimensional modeling, and enterprise analytics architecture. Experience with SQL, data integration, and performance optimization. Knowledge of DevOps, CI/CD, infrastructure automation, and cloud security best practices. Excellent analytical, communication, and problem-solving skills. Preferred Qualifications Cloud certifications in Azure, AWS, and/or Google Cloud. Databricks certification or equivalent experience. Experience with machine learning, AI platforms, and Generative AI solutions. Knowledge of data governance, metadata management, and data quality frameworks. Experience working in large enterprise or public-sector environments. Work Arrangement This is a hybrid position requiring 3 days onsite at New York, NY, and 2 days remote per week. Candidates must be able to meet the onsite schedule. Fully remote arrangements are not available. Interested candidates: Please submit your updated resume highlighting your experience in enterprise architecture, data engineering, business intelligence, and cloud platforms.

Job Description About the job Please take a moment to review the job description before applying. We encourage applications only from candidates whose experience closely aligns with the role requirements. About Us TheMathCompany or MathCo is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, MathCo's proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO).At MathCo, we foster an open, transparent, and collaborative culture, making it a great place to work. We provide exciting growth opportunities and value capabilities and attitude over experience, enabling our Mathemagicians to 'Leave a Mark '. Job Title: Data / AI Engineer Location: Chicago, IL (4 days onsite) EXP: 8-10 years Long term Contract Job Description We are looking for a Data / AI Engineer to build scalable data engineering solutions that enable AI, advanced analytics, and machine learning initiatives. This role requires a strong foundation in data engineering, AI technologies, cloud platforms, and data analysis to support the development of enterprise AI applications. The ideal candidate will collaborate with Data Scientists, AI Engineers, Architects, and business stakeholders to develop reliable data pipelines, prepare high-quality datasets, and support the deployment of AI-driven solutions. Your responsibilities will include: • Design, develop, and maintain scalable data pipelines supporting AI and analytics initiatives. • Build ETL/ELT workflows to ingest, transform, and process structured and unstructured data. • Prepare high-quality datasets for Machine Learning model development and AI applications. • Collaborate with Data Scientists and AI Engineers to support model training, deployment, and monitoring. • Perform data analysis and profiling to ensure data quality, consistency, and business readiness. • Optimize data pipelines for performance, scalability, and reliability across cloud platforms. • Implement data governance, monitoring, and best practices for enterprise data solutions. • Troubleshoot data-related issues and continuously improve platform performance. • Contribute to engineering best practices, documentation, and technical reviews. Skills Required Technical Expertise • Strong experience in Data Engineering, ETL/ELT development, and data pipeline design. • Proficiency in Python, SQL, and modern data processing frameworks. • Experience with AI/ML fundamentals and supporting AI-driven applications. • Hands-on experience with Azure, Databricks, Apache Spark, or similar cloud based data platforms. • Strong understanding of data modeling, data warehousing, and distributed data processing. Data & AI Skills • Experience preparing and managing datasets for AI and Machine Learning initiatives. • Strong analytical and problem-solving skills with experience in data analysis. • Familiarity with cloud-native data engineering and AI ecosystem tools. • Understanding of modern data architecture and enterprise data management principles. Professional Skills • Excellent communication and collaboration skills. • Ability to work effectively with cross-functional engineering and business teams. • Strong ownership, analytical thinking, and continuous learning mindset. • Work with Pharma/Life Sciences stakeholders to support data-driven business initiatives. Role • Data / AI Engineer Education / Qualification • Bachelor's or Master's degree in computer science, Information Technology, Engineering, or a related field. • 8-10 years of experience in Data Engineering, AI Engineering, or Analytics Engineering. • Minimum 3+ years of Pharma, Life Sciences, Healthcare, Biotechnology, or Clinical Data experience. • Experience building cloud-native data platforms and supporting AI/ML initiatives is mandatory. • Exposure to Azure, Databricks, Spark, or similar modern data technologies is preferred. Location • Chicago, IL (4 days onsite) Being a Mathemagician • Embody MathCo's culture and way of working. • Demonstrate ownership and strive for excellence in delivering results. • Actively engage and contribute to initiatives fostering company growth. • Support diversity and appreciate different perspectives. Recognitions • Positioned as a Leader in Top Generative AI Service Providers - PeMa Quadrant 2023 by AIMResearch. • Recognized among Inspiring Workplaces in North America, 2023. • Accredited for Inclusive Practices by Great Place to Work Institute, India. • Recognized among India's Best Workplaces for Diversity, Equity, Inclusion & Belonging 2023 by Great Place To Work India.

Job Description Company Overview Join SALT Dental Partners and be part of a dynamic team dedicated to revolutionizing the dental industry through innovative marketing strategies and exceptional patient experiences. Since our doors opened in 2019, our mission has been to help specialty dental providers grow their practices. SALT is creating a vast network of like-minded dental specialists throughout the country. At SALT, we provide comprehensive support services, allowing dental specialists to focus on delivering exceptional care. Position Summary The Data Engineer is responsible for designing, developing, securing, and optimizing the enterprise data platform that powers analytics, reporting, automation, artificial intelligence, and business decision-making across SALT Dental Partners. This role builds scalable data pipelines, integrations, and data structures that enable trusted, high-quality information to move efficiently from source systems into enterprise analytical platforms. This role partners closely with the Manager of Data Analytics, BI Developers, application teams, Information Technology, business stakeholders, and external vendors to ensure data assets are reliable, governed, secure, and accessible for approved use cases. The ideal candidate brings strong expertise in SQL, ETL/ELT, cloud data platforms, integration patterns, data quality, and modern data architecture. Key Responsibilities Data Platform Engineering Design, develop, test, deploy, and maintain enterprise data pipelines and integration frameworks. Build scalable ETL/ELT processes that ingest, transform, and deliver data for analytical and operational workloads. Develop ingestion patterns for cloud applications, on-premises systems, files, databases, and approved external sources. Support the architecture and ongoing development of the enterprise data warehouse, lakehouse, and related data platform services. Systems Integration Develop and maintain integrations across practice management, revenue cycle, patient engagement, finance, human resources, operational, and third-party systems. Design and support API-based, database-based, and file-based integrations using secure and maintainable patterns. Partner with vendors and internal technical teams to resolve data availability, connectivity, transformation, and integration issues. Document interfaces, dependencies, mappings, schedules, error handling, and support procedures. Data Architecture & Modeling Design scalable data storage structures and transformation layers aligned with enterprise analytics requirements. Support dimensional modeling, common data definitions, and analytical data design. Establish and follow standards for data movement, transformation, retention, lifecycle management, naming, and documentation. Collaborate with BI Developers to improve model usability, query performance, refresh reliability, and downstream reporting. Data Quality, Governance & Security Implement automated validation, monitoring, reconciliation, testing, and alerting for critical data pipelines and assets. Identify data quality issues, perform root cause analysis, and coordinate sustainable remediation. Support data governance, metadata, lineage, stewardship, classification, and documentation initiatives. Ensure data solutions adhere to HIPAA, privacy regulations, least-privilege principles, and organizational security standards. Partner with Security and Compliance teams on audits, risk assessments, access controls, and incident response. Cloud & Platform Operations Administer, monitor, and optimize cloud-based data services and supporting infrastructure within assigned responsibilities. Monitor platform health, pipeline execution, system performance, capacity, and resource utilization. Implement resilient, scalable, and supportable solutions that accommodate enterprise growth and acquisition integration. Contribute to backup, disaster recovery, business continuity, observability, and data resiliency planning. Innovation & Advanced Analytics Enablement Enable approved AI, machine learning, predictive analytics, automation, and advanced reporting use cases through reliable data products. Evaluate emerging data engineering technologies and recommend practical improvements to the enterprise data ecosystem. Participate in proofs of concept and platform enhancements with clear security, supportability, governance, and value considerations. Vendor & Project Management Manage assigned relationships and technical activities with data platform vendors, software providers, and implementation partners. Provide technical direction based on prioritized initiatives, architecture standards, and project requirements. Communicate project status, dependencies, risks, issues, and decisions to technical and business stakeholders. Requirements Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field; equivalent professional experience may be considered. 4+ years of data engineering, integration engineering, database development, or data platform experience. Strong SQL development, data transformation, and database performance optimization skills. Hands-on experience building and supporting enterprise ETL/ELT pipelines and orchestration workflows. Experience with cloud data platforms, data warehouses, lakehouse architectures, and modern analytics ecosystems. Knowledge of REST APIs, secure integration patterns, structured and semi-structured data, and source control practices. Experience with Python or another relevant scripting language. Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, Azure Synapse Analytics, Databricks, Snowflake, or related platforms is preferred. Experience integrating data from multiple SaaS, practice management, financial, clinical, or operational systems is preferred. Demonstrated knowledge of data quality, metadata, lineage, governance, monitoring, and operational support practices. Experience in healthcare, dentistry, a DSO, multi-site operations, or another regulated industry is preferred. Strong knowledge of HIPAA, privacy, security, least privilege, and responsible data-handling practices. Strong troubleshooting, root cause analysis, documentation, and technical communication skills. Detail oriented and comfortable working in a fast-paced environment. Excellent oral and written communication and strong interpersonal skills. Desire and ability to learn new skills and be a team player. Ability to act with integrity, professionalism, and confidentiality. Physical Requirements The following physical demands would apply to this job up to 40% of the time: Ability to lift, carry, or pull or push 25 lbs. Benefits Competitive salary Comprehensive benefits package (medical, dental, vision) Retirement Plan (401k with Company Match, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Opportunities for professional development and growth Flexible hybrid work environment Salt Dental Partners is an Equal Opportunity Employer. This job description is intended to describe the general nature and level of work being performed and is not an exhaustive list of all responsibilities and duties.

Job Description About Blueprint Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology. Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams. At Blueprint, you'll work alongside talented people with different experiences, expertise, and perspectives. You'll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build. Bring your perspective. Raise the standard. Build what matters. In This Role You will contribute to the development of AI training datasets by building and maintaining Python-based data processing pipelines. You will work with large-scale structured and unstructured datasets, transforming raw documents and text into high-quality, validated data for AI model training. This role requires hands-on experience creating datasets from the ground up, developing scalable data workflows, and managing data processing in Azure environments. You will collaborate with data scientists and engineering partners to improve data quality, processing efficiency, and dataset reliability while ensuring data integrity, traceability, and security. Responsibilities Design, develop, maintain, and optimize Python-based data pipelines for large-scale data ingestion, processing, and transformation. Build datasets from the ground up by collecting, organizing, cleaning, validating, and preparing raw structured and unstructured data. Develop workflows for OCR processing, text extraction, normalization, filtering, segmentation, and deduplication. Execute and monitor large-scale batch processing jobs, troubleshoot failures, and implement automated retry and recovery mechanisms. Develop automated data quality checks to identify missing or corrupted files, incomplete processing outputs, duplicate records, formatting issues, and metadata inconsistencies. Prepare high-quality, training-ready datasets through data filtering, tokenization, text segmentation, and conversion into standardized formats. Manage bulk data uploads, downloads, and synchronization between local processing environments and Azure storage platforms. Maintain organized datasets with consistent naming conventions, metadata, version control, and source traceability. Optimize data processing performance, memory utilization, storage efficiency, and cloud resource consumption. Monitor dataset statistics, processing coverage, quality metrics, and exceptions while generating operational reports. Collaborate with applied scientists and engineering teams to translate AI training requirements into scalable and repeatable data workflows. Maintain documented, tested, and version-controlled code while following established data security and governance requirements. Qualifications 5+ years of professional experience in data engineering, data pipeline development, or data science with substantial hands-on programming responsibilities. Strong proficiency in Python, including developing reusable modules, debugging, testing, logging, and error handling. Demonstrated experience building and developing datasets from scratch, including data ingestion, cleaning, transformation, validation, and preparation. Hands-on experience processing large-scale structured and unstructured datasets using memory-efficient, parallel, or distributed processing techniques. Practical experience with Azure Blob Storage or Azure Data Lake Storage, including bulk data transfers, storage organization, and access troubleshooting. Experience with Python data-processing libraries and formats such as pandas, NumPy, JSON/JSONL, CSV, and Parquet. Working knowledge of SQL, Git, Linux environments, and command-line tools. Strong troubleshooting, analytical, and problem-solving skills with a focus on data quality and integrity. Ability to communicate technical challenges and collaborate effectively with cross-functional engineering and data science teams. Preferred Qualifications Experience developing OCR pipelines, processing scanned documents, multilingual text, or document-layout data. Experience with Azure Databricks, Azure Machine Learning, Azure Data Factory, or other workflow orchestration platforms. Familiarity with Hugging Face Datasets, AI/ML tokenization, near-duplicate detection, and training/evaluation data separation. Experience with large-scale dataset curation and preparation for AI or machine learning model training. Knowledge of distributed data processing frameworks and technologies such as PySpark. Experience with dataset lineage, reproducibility, containerized environments, and CI/CD practices. Experience optimizing data pipelines for performance, reliability, scalability, and cost efficiency. Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $150,000- $160,000 USD/Annually. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate's qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: 5 days onsite at Seattle, WA Benefits Blueprint believes that healthy, supported employees do their best work. Eligible employees have access to a comprehensive benefits package that may include: Medical, dental, and vision coverage Flexible Spending Account (FSA) 401(k) retirement plan Competitive paid time off Parental leave Professional growth and development opportunities Benefits and eligibility may vary based on role, employment status, and location. Equal Employment Opportunity Blueprint Technologies, LLC is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital or familial status, military or veteran status, citizenship status, or any other characteristic protected by applicable law. Applicant Accommodations If you need a reasonable accommodation to participate in any part of the application or interview process, please contact .

Job Description Job Description About the Company: At SK Hynix Memory Solutions, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Role Join our digital ASIC design team to develop IP for next-generation SSD controllers and storage solutions. This role offers opportunities across the controller architecture, including host interfaces, on-chip interconnects, and back-end NAND subsystems. You will translate product requirements into microarchitecture specifications, implement high-quality RTL, and collaborate with verification and physical design teams to deliver production-ready silicon. You will help shape the performance, power efficiency, and scalability of future storage products, with potential opportunities to explore computational storage, storage for AI workloads, next generation SSD architectures as our technology and product roadmap evolve. Responsibilities Own digital ASIC blocks from requirements and microarchitecture definition through RTL implementation, verification support, and silicon delivery. Develop clear microarchitecture specifications documenting interfaces, data flows, design tradeoffs, and implementation details. Write synthesizable Verilog or SystemVerilog RTL that meets functional, performance, power, and area requirements. Run and resolve findings from RTL lint, clock domain crossing (CDC), and synthesis tools to improve design quality. Collaborate with design verification engineers to develop verification plans, debug simulations using tools such as Synopsys VCS, and resolve functional issues. Work with physical design and timing teams on timing constraints, critical-path optimization, and timing closure. Lead design reviews, provide technical guidance to other engineers, and coordinate with cross-functional teams to meet project milestones. Minimum Qualifications Master's degree in Electrical Engineering, Computer Engineering, or a closely related field. Demonstrated experience independently owning complex digital ASIC blocks, with technical depth and judgment appropriate for a Staff Engineer. Strong proficiency in synthesizable Verilog or SystemVerilog and synchronous digital design fundamentals. Working knowledge of ASIC development flows, including simulation using VCS or an equivalent tool, lint, CDC analysis, logic synthesis, and static timing analysis and timing closure. Ability to write clear microarchitecture specifications, debug complex design issues, and communicate effectively across design, verification, and physical design teams. Preferred Qualifications Experience designing PCIe or NVMe controller logic. Experience with SSD controller architectures, NAND interfaces, or flash storage systems. Familiarity with AXI protocols, on-chip interconnects, and high-throughput data movement. Experience with CPU subsystems or UCIe interfaces. Experience delivering ASIC designs through tapeout and supporting silicon bring-up, validation, or production debug. REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness. Benefits: Top Tier health insurance Paid day offs: Paid Time Off, Company Holidays, Parental Leave, Happy Fridays 401k Matching Flexible Spending Account (FSA) for Health Care & Dependent Care Corporate discount programs Free Breakfast/Lunch/Dinner provided to employees

Job Description Job Location GREENSBORO BROWN SUMMIT PLANT Job Description We are looking for a highly skilled and agile Senior Controls & Automation Engineer to join our Oral Care engineering teams at the Greensboro Browns Summit Plant. This Engineer will play a pivotal role in the design, development, and implementation of advanced control systems and automation solutions for our Oral Care manufacturing processes. This position requires a strong understanding of control theory, automation technologies, and the ability to integrate intelligent systems to enhance operational efficiency, product quality, and safety. The ideal candidate has a strong technical background and the curiosity to solve hard problems as you will be in a leadership role defining business priorities and developing solutions. Key Responsibilities: Control System Design: Develop and implement control strategies for manufacturing processes, ensuring optimal performance, reliability, and safety. Automation Development: Design and program automation solutions using PLCs, SCADA systems, and other control technologies to streamline operations and improve productivity. Intelligent Systems Integration: Implement advanced data analytics, machine learning algorithms, and AI-driven solutions to enhance process control and decision-making. Collaborative Projects: Work closely with cross-functional teams, including manufacturing, quality assurance, and maintenance, to identify automation opportunities and drive continuous improvement initiatives. System Optimization: Conduct performance analysis and troubleshooting of existing control systems, identifying areas for improvement and implementing solutions. Documentation, Training, and Compliance: Prepare technical documentation, including system specifications and user manuals, while providing training and support to plant personnel on new systems and technologies. Ensure all automation systems adhere to industry standards and regulations, fostering a culture of safety in engineering practices. Job Qualifications REQUIRED: BS/MS in Engineering Process and/or Machine Control experience Proven expertise with sensors, motors, PLC's, and industrial automation 5+ years of professional experience with collaborating across teams/organizations 10% travel required (international and domestic) Ability to work in office 5 days a week in person at our Greensboro Browns Summit Plant in North Carolina PREFERRED: Electrical ENG degree preferred Experience with Rockwell Control Logix platforms Experience with computer and industrial networks At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process. We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ's, please click HERE . Procter & Gamble participates in E-Verify. Qualified individuals will not be disadvantaged based on being unemployed. P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page . Job Schedule Full time Job Number R Job Segmentation Experienced Professionals Starting Pay / Salary Range $110,000.00 - $165,300.00 / year

Job Description Senior Data Analyst (Azure Data Engineering, Microsoft Fabric, Power BI) Optomi, in partnership with our client, a leading state government technology organization in North Carolina, is seeking an experienced Senior Data Analyst to design, develop, and optimize enterprise data pipelines, data warehouses, and analytics solutions within Microsoft Azure. The ideal candidate will bring strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric Lakehouse, and advanced SQL/PL/SQL development. This opportunity offers the chance to work with modern cloud data technologies, build enterprise-scale data solutions, and support data-driven decision-making across public sector operations. The right candidate will combine strong technical data engineering capabilities with an understanding of data governance, business intelligence, and emerging AI technologies. What the right candidate will enjoy! Contributing to technology modernization initiatives that support essential government services and operations throughout North Carolina. Working with a modern Microsoft Azure data ecosystem, including Azure Data Factory, Synapse Analytics, and Microsoft Fabric. Designing and optimizing enterprise data pipelines and lakehouse solutions that make complex data more accessible and useful. Playing an important role in transforming raw data into reliable, well-structured datasets that support business intelligence, reporting, and analytics. Collaborating with business stakeholders to understand analytical needs and translate them into practical data solutions. Building Power BI-ready datasets that help teams make informed, data-driven decisions. Exploring the integration of artificial intelligence and machine learning capabilities through Azure Machine Learning and Azure OpenAI Service. Working with enterprise data governance and security technologies, including Microsoft Purview and Microsoft Entra ID. Having the opportunity to work across data engineering, analytics, cloud technologies, and AI initiatives rather than focusing on reporting alone. Collaborating with technical professionals and business teams in an environment focused on improving data accessibility, quality, security, and operational efficiency. Applying technical expertise to meaningful projects that support the continued modernization of public sector technology and services. Experience of the right candidate: Strong professional experience as a Senior Data Analyst, Data Engineer, Azure Data Engineer, or similar data-focused technical professional. Hands-on experience designing, developing, and maintaining enterprise ETL/ELT data pipelines. Experience with Azure Data Factory, Azure Synapse Pipelines, or PL/SQL procedures for data integration and pipeline development. Proficiency in Azure Synapse Analytics, including experience with SQL pools and Spark pools. Hands-on experience with Microsoft Fabric Lakehouse and modern data architecture concepts. Strong SQL and PL/SQL scripting skills, including the ability to develop and optimize complex queries. Experience developing, maintaining, and troubleshooting stored procedures, packages, and functions. Understanding of enterprise data warehousing, data integration, data modeling, and data transformation processes. Experience building and preparing structured, Power BI-ready datasets to support business intelligence and reporting. Ability to work with business users and stakeholders to understand analytical requirements and translate them into technical data solutions. Knowledge of Azure Machine Learning and Azure OpenAI Service, including how AI and machine learning capabilities can be integrated into data solutions. Experience with Microsoft Purview and enterprise data governance practices. Familiarity with Microsoft Entra ID and data access/security management. Understanding of data quality, data governance, data security, and enterprise data management principles. Experience developing reporting solutions, analytical datasets, dashboards, or predictive analytics models. Strong analytical and problem-solving skills, with the ability to investigate complex data issues and identify opportunities for optimization. Strong communication and collaboration skills, with the ability to work effectively with business stakeholders, data engineers, developers, and technical teams. Ability to manage multiple priorities and deliver reliable data solutions in a collaborative enterprise environment. Responsibilities of the right candidate: Design, develop, implement, and maintain enterprise ETL/ELT data pipelines using Azure Data Factory, Synapse Pipelines, and PL/SQL procedures. Build, manage, and optimize data warehouse and lakehouse solutions within Azure Synapse Analytics and Microsoft Fabric. Support and optimize Azure Synapse SQL pools and Spark pools to ensure efficient data processing and analytics. Develop, test, maintain, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions. Build and maintain scalable data integration processes that support enterprise reporting and analytical requirements. Collaborate with business users and stakeholders to understand reporting needs, define analytical objectives, and translate requirements into technical solutions. Develop and prepare high-quality, Power BI-ready datasets to support dashboards, reporting, and business intelligence initiatives. Support the integration of machine learning and artificial intelligence capabilities using Azure Machine Learning and Azure OpenAI Service. Identify opportunities to leverage AI and predictive analytics to improve reporting, data analysis, and business processes. Implement and support enterprise data governance, quality, and security practices using Microsoft Purview and Microsoft Entra ID. Help maintain data integrity, consistency, accessibility, and security across enterprise data environments. Monitor, troubleshoot, and optimize data pipelines, database processes, and analytical workloads. Identify and resolve data quality issues and improve the reliability and efficiency of data integration processes. Develop and maintain cross-functional reporting solutions, dashboards, and analytical models. Work closely with data engineering, business intelligence, and technical teams to ensure data solutions align with organizational needs. Recommend improvements to data architecture, pipeline performance, data governance, and overall data utilization. Support the ongoing modernization and enhancement of enterprise data platforms and analytics capabilities.

Job Description About Courted Courted builds AI-powered software for the real estate industry. The industry moves over $100B in annual commissions, and much of it still runs on spreadsheets, manual processes, and guesswork. We're changing that. Our newest work focuses on two areas. BrokerOS is our back office platform. It handles the operational core of a brokerage: agent onboarding, transaction management, commissions, and financial reporting. In 2027 we'll also start building a brand-new agent-facing platform, and we're starting from the very beginning: discovery, research, and defining what it should be. We are a high-growth SaaS company shipping fast, working smart, and building transformative tools for the next generation of real estate leaders. The Role We are looking for a Junior Product Designer who wants to be involved in every part of the design process. You'll talk to users, figure out what the real problem is, and turn what you learn into clear workflows and polished designs. Then you'll stay with the work through handoff, build, and review until it ships. You'll join at a rare moment. BrokerOS is moving from beta toward launch, and the new agent-facing platform will start at day zero. You'll help shape both products from the ground up, starting with the very first user conversations. Our team works in Figma, but AI has changed how we design. We prototype with AI tools to test ideas before committing to them, and our designers build directly in the codebase with tools like Claude Code. You'll be expected to work this way too: use AI to move faster, and stay critical of what it produces. This is a great fit for someone early in their career who has strong fundamentals and real ambition. You ask good questions, care about the details, and want more ownership than a typical junior role offers. You'll report to the Head of Product Research + Design and work closely with product managers and engineers. What You Will Do Talk to users : plan and run interviews and usability tests alongside the rest of the design team to understand workflows, pain points, and needs Synthesize what you learn : turn raw research into clear insights, journey maps, and recommendations that shape what we build Design the workflow : translate user needs and requirements into user flows, workflow diagrams, and interaction models that make complex processes simple Prototype with AI : use Claude Design, code-based prototypes, and other AI tools to make ideas tangible quickly and get them in front of users and teammates early Deliver production-ready designs : build hi-fi designs in Figma that follow our design system, with full state coverage (loading, empty, error, edge cases) Build on the codebase : use Claude Code and similar tools to make bounded UI changes and polish, partnering with engineering on what's ready for production Close the loop with engineering : prepare clean handoffs, review builds, and QA releases so what ships matches what was designed Keep our systems current : help maintain the design system and sitemap as the product evolves Spot opportunities : proactively identify UX improvements from user feedback, usage data, and your own time in the product What You Will Bring 1-3 years of experience in product or UX design, ideally at a SaaS or technology company A portfolio that shows how you got from a user problem to a design decision, not just the final screens Hands-on research experience: you've talked to users yourself and changed a design because of what you heard Proficiency in Figma and comfort working within an established design system A strong appetite for working with AI tools to prototype and build, including in code, along with the habit of checking what AI produces Curiosity about how software is built. You don't need to be an engineer, but you're excited to learn to work in code with AI's help Strong attention to detail: tidy files, complete states, clear specs, and follow-through A low-ego, coachable approach. You expect your work to be critiqued, changed, or discarded as the team learns Clear communication: you can explain the reasoning behind your design decisions to product, engineering, and stakeholders Why Courted Real ownership, early : help shape new products from the very first research through launch, with more responsibility as you grow Direct mentorship : work closely with design leadership and grow quickly through real work The frontier of design craft : help define how an AI-native design team researches, prototypes, builds, and ships AI and vertical depth : build at the intersection of machine learning and a $100B+ industry that is ready for better software Visibility : work directly with founders, customers, product, and engineering What It's Like to Work Here We are a small, focused team that values velocity, candor, and follow-through. Everyone builds. Ideas do not get kicked down the line We care a lot about the work and very little about titles. People here are competitive about outcomes, not credit We are a high-trust team that ships fast and sweats the details We debate ideas, not people, fix things in daylight, and keep a sense of humor while doing it The Details This role is based in New York, NY. The team is in the office 3-4 days per week Salary range: $90,000 - $120,000 Health, dental, and vision insurance 401(k), generous PTO, and team lunches in the office Dog-friendly office How to apply Submit your resume and link to your portfolio through LinkedIn This salary range represents the minimum and maximum for this role based in New York, NY. The salary offered depends on multiple factors, including experience, interview performance, and anticipated responsibilities. Base salary is one component of Courted's total compensation package, which also includes retirement savings, premium health and wellness benefits, lunches in the office, and more.

Job Description About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. Our industry recognition includes: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. Top analyst recognitions from Gartner, ISG, and Everest Group. Consecutive certifications as a Great Place to Work. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Work Location: USA - Chicago Experience Level: 10 to 12 years Type: Full time Role: We are seeking a seasoned, strategic, and technically adept Product Owner to shape and drive our AI/ML innovation roadmap, with a dedicated focus on building state-of-the-art AI Agentic systems . In this role, you will bridge the gap between cutting-edge AI research and scalable enterprise execution. You will translate frontier AI concepts-such as Large Language Models (LLMs), Agent Development Frameworks (ADK), Claude Skills, Retrieval-Augmented Generation (RAG), and Knowledge Graphs-into structured, high-impact product requirements. Working within a SAFe Agile framework , you will collaborate with research scientists, data engineers, cloud architects, and executive stakeholders to advance concepts from initial Proof of Concept (POC) to production-grade deployment on cloud-native infrastructure. Responsibilities: Define, articulate, and execute the product vision and roadmap for next-generation AI/ML initiatives, prioritizing high-leverage agentic architectures and autonomous workflows. Manage and prioritize the innovation and research backlog, balancing experimental risk, technical viability, and tangible business impact. Continuously evaluate breakthroughs across the generative AI ecosystem to identify opportunities for integration into the core product suite. Deconstruct complex AI/ML paradigms-including agent tool-use, RAG pipelines, Knowledge Graph embeddings, and multi-agent coordination-into clear user stories, acceptance criteria, and technical specifications. Partner closely with system architects and software engineers to ensure experimental architectures are built for scalability, resilience, and security within Google Cloud Platform (GCP) and Kubernetes (GKE) . Support modern deployment patterns and iterative testing loops by leveraging automated CI/CD practices with GitHub Actions . Shepherd innovation initiatives across the entire lifecycle: from hypothesis formation, exploratory research, and POC validation through to hardening, production rollout, and adoption. Establish evaluation frameworks, benchmarks, and key performance indicators (KPIs) to measure model reliability, agent task completion, cost efficiency, and end-user impact. Gather quantitative feedback and qualitative operational insights to iterate on prototypes or graduate successful experiments into core product offerings. Act as the central connective tissue between AI researchers, core engineering, operations, and commercial leaders within a Scaled Agile Framework (SAFe) . Map and navigate complex application landscapes, user workflows, data dependencies, and cross-team ownership structures to eliminate delivery roadblocks. Skills Required: 10-12 years of overall professional experience, with substantial tenure as a Product Owner, Technical Product Manager, or Product Lead guiding advanced technical or data-centric products. Demonstrated conceptual and practical mastery of modern AI ecosystems, including Generative AI, LLMs, AI Agentic workflows, Agent Development Kits (ADKs), Claude Skills, RAG pipelines, vector search, and Knowledge Graph integration. Hands-on experience operating within Scaled Agile (SAFe) environments, running backlog grooming, sprint planning, PI planning, and dependency management for cross-functional teams. Solid understanding of cloud-native infrastructure, specifically Google Cloud Platform (GCP) and container orchestration with Kubernetes , along with familiarity with GitHub Actions for CI/CD automation. Ability to actively engage in architectural discussions regarding data pipelines, API contracts, latency budgets, agent orchestrators, and model inference scaling. Proven track record of translating high-level executive strategy and complex data science research into actionable epics, features, and stories for cross-functional execution. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a part of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

Job Description Job Description Job Title: Application Architect Location: Bethesda, MD Type: Permanent salaried position Compensation: 170- 190K Contractor Work Model: Hybrid (2 to 3 days on site in Bethesda MD) The Senior Application Architect is responsible for developing and evolving application-layer architecture following the Agile Software Development Life Cycle. This role shapes the technical direction of the business applications by defining application design, domain models, REST API strategy, integration patterns, and code-level standards to ensure systems are scalable, secure, maintainable, and aligned with business strategy. This position is not an infrastructure or cloud platform architect role. While the Senior Application Architect partners closely with cloud, operations, data, and cybersecurity teams, the primary accountability is for application architecture and application design decisions, including ownership of RESTful services and application integration strategy from concept through implementation and long-term evolution. The Senior Application Architect works closely with engineering teams, product owners, operations, and security to design and guide the implementation of modern, reliable, and well-integrated application solutions. Responsibilities: • Own the end-to-end application architecture for key business systems, including domain modeling, application decomposition, service boundaries, and integration patterns. • Define and own API strategy, including RESTful API design standards, documentation, versioning, lifecycle management, and governance. • Design and govern REST APIs and service contracts that enable reuse, scalability, and consistent integration across internal applications and external partners. • Strong hands-on experience in .NET, C#, ASP.NET, SQL Server, REST APIs, domain modeling, and database schema design for enterprise applications. • Collaborate with business and technical stakeholders to translate strategic objectives and functional needs into application architecture, REST API designs, and implementation approaches. • Develop and maintain technical and business feature roadmaps in consultation with stakeholders; identify risks, track progress, and communicate status updates to project sponsors. • Lead the design and implementation of scalable, secure, and resilient enterprise application architectures, with a focus on maintainability, extensibility, and performance. • Define and enforce application architecture standards, design patterns, and coding guidelines to ensure consistency and interoperability across development teams. • Design and document software architectures using diagrams and models that guide development and support long-term system sustainability. • Review application and API implementations to ensure adherence to architectural intent, clean code principles, and design patterns. • Lead application modernization and refactoring efforts, including decomposition of legacy systems into modular or service-aligned architectures. • Evaluate emerging technologies-including AI, ML, and application integration frameworks-through proofs of concept and pilot implementations, focusing on application-level feasibility and business value. • Architect, prototype, and build hands-on components of AI-enabled application capabilities, such as generative AI. • Partner with data engineering teams to design application-aligned data access patterns, pipelines, and governance supporting analytics and machine learning initiatives. • Engage directly in complex solution development when needed, contributing application code, prototypes, and architectural exemplars. • Integrate security, privacy, and compliance requirements into application and API design in alignment with governance standards. • Engineer applications and APIs for reliability, scalability, and performance by proactively identifying and resolving architectural bottlenecks. • Mentor developers and other architects, fostering a culture of hands-on learning, strong design discipline, and technical excellence. • Lead vendor and product evaluations from an application and API architecture perspective, assessing extensibility, integration capability, and alignment with application roadmap. Requirements: • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; advanced degree preferred • Typically requires 10+ years of experience in software design and development, including at least 5 years of architecting enterprise-level applications • Demonstrated experience designing and evolving application architecture, rather than primarily infrastructure, cloud, or data architecture • Proven experience defining and implementing RESTful API strategies, including API design, versioning, documentation, security, and governance • Experience making architectural decisions across application layers, including UI, backend services, REST APIs, and data access • Skilled in database modeling, relationship design, and writing queries and stored procedures in support of application needs • Working knowledge of cloud platforms and DevOps practices as they relate to application deployment and runtime concerns; this role does not own cloud infrastructure architecture • Experience working in Agile delivery environments, collaborating across teams to deliver iterative, high-quality application solutions • Strong understanding of application security and enterprise architecture, supported by hands-on leadership in large-scale application and API design • Experience collaborating with data engineering teams to support application-driven analytics and data initiatives • Excellent analytical, communication, and problem-solving skills, with the ability to lead through influence and adapt to evolving priorities • Enterprise Architecture certification preferred • Insurance or risk management industry experience a plus System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description About Us: Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client's business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence ("AI") and machine learning ("ML"), we create agile, scalable solutions and execute complex operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquarters in New York, our team is over 73,000+ strong, with more than 50 offices spanning six continents. Role Name: Neo4J Developer- (SME) Location: Remote Employment Type: Full-Time Role Overview We are seeking a 10+ Years Subject Matter Expert (SME) in Neo4j and Amazon Web Services (AWS) to lead our critical graph database migration journey. In this role, you will not just design the architecture, you will be the hands-on guide who ensures our business workloads are successfully migrated, rigorously tested, and seamlessly adopted. You will act as the bridge between technical engineering and business stakeholders, leading live demos, onboarding engineering teams, and guiding users through successful User Acceptance Testing (UAT). Key Responsibilities Migration & Architecture: Design and execute secure migration strategies to move on-premise or relational data workloads to Neo4j on AWS (AuraDB, EC2, or EKS). Testing & Optimization: Lead performance tuning, index optimization, and load testing of Cypher queries to ensure high availability and low latency. Demos & Proof of Concepts (POC): Build and showcase powerful graph database demos to stakeholders to highlight business value and insights. Onboarding & Handholding: Provide close, side-by-side technical support to developers, data analysts, and product teams during the initial launch phase. UAT & Go-Live: Define UAT criteria, write test scripts, validate data integrity, and hand-hold business users through final validation for a smooth production rollout. Required Technical Skills Neo4j Expertise: Deep knowledge of graph modeling, Cypher query language, APOC libraries, and Neo4j administration tools. AWS Cloud Mastery: Hands-on experience with AWS infrastructure (EC2, EKS, VPC, IAM, S3) and secure networking for database deployments. Data Integration: Proven experience using data pipeline and ETL tools (like Spark, AWS DMS, or Data Sync) to ingest data into graph databases. Testing Tools: Familiarity with database benchmarking and load-testing tools to simulate production workloads. Requirements 8+ years of experience working with data engineering with at least 4+ years of experience working on graph databases. Proficiency in query languages like Cypher or Gremlin and a solid foundation in graph theory are crucial for success in this position. Outstanding written and verbal communication skills. Superior analytical and problem-solving skills. Experience in working in dual shore engagement is preferred.

Job Description This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit -we- hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, MD, Jessup - 153 800.00 USD annually

Job Description HCLTech is looking for a highly talented and self-motivated CAD Infrastructure Engineer to join it in advancing the technological world through innovation and creativity. Job Title: CAD Infrastructure Engineer Job ID: 155226 Position Type: Full Time Location: Redmond, WA - Remote CAD Infrastructure Engineer Role Overview We are looking for an experienced IC-CAD Infrastructure Engineer to build, maintain, and support Azure cloud-based CAD/EDA infrastructure for semiconductor chip-design projects. The engineer will be responsible for Azure and Linux environments, EDA tool deployment, compute infrastructure, CI/CD pipelines, access management, and troubleshooting design-environment and timing-related issues. Key Responsibilities Provision and manage Azure cloud infrastructure for hosting and running CAD/EDA tools. Provision, configure, and maintain Linux virtual machines (VMs) and compute environments. Set up and manage security groups, user access, permissions, and onboarding for engineering teams. Install, configure, upgrade, and maintain CAD/EDA tools used by chip-design teams. Manage tool versions, licenses, environment configurations, and dependencies. Support CI/CD pipelines for CAD/EDA environments and engineering workflows. Configure and support compute farms, job scheduling, and workload management. Support LSF/Slurm or similar workload-scheduling environments. Set up and maintain shared storage and file systems required for design workloads. Troubleshoot timing failures on the floor and work with engineering teams to identify environment, tool, infrastructure, or flow-related issues. Troubleshoot Linux, infrastructure, compute, storage, access, and CAD environment issues. Automate infrastructure and environment-management activities using scripting. Required Qualifications Strong experience with Linux administration . Hands-on experience with Microsoft Azure , cloud infrastructure, and VM provisioning. Experience supporting CAD/EDA infrastructure in a semiconductor or chip-design environment on cloud. Experience installing and maintaining EDA/CAD tools . Experience with LSF or Slurm . Experience with CI/CD pipelines and automation. Knowledge of security groups, access management, permissions, and user provisioning . Experience with compute/HPC environments and workload scheduling for EDA on cloud. Scripting experience with Python, Bash/Shell, or PowerShell . Good troubleshooting skills across Linux, compute, CAD tools, and engineering infrastructure. Understanding of semiconductor/IC design workflows . Nice to Have Knowledgeable on Cadence flow , Synopsys flow , and/or Siemens EDA tools . Exposure to PDK, Physical Design, STA, or Analog CAD flows . Understanding of timing analysis and timing failures . Experience supporting large-scale HPC/compute environments for semiconductor Knowledge of infrastructure automation or Infrastructure-as-Code. Cadence Virtuoso, Siemens Calibre, Synopsys StarRC, and PDK integration. Knowledgeable on EDA tool in Synopsys RM flow for RTL CDC, Synthesis, DFT, Floorplanning, P&R, CTS, Power Optimization, Pay and Benefits Pay Range Minimum: $95000/Year Pay Range Maximum: $192000/Year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 8+ years of storage-related experience, OR M.S. in CS, CE, or related field with 5+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $145,000/yr - $205,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

Job Description The Manager, AI & Business Transformation leads Fresh Origins' AI program from the business side. This is a business analyst and project manager first: someone who can sit with Operations, Sales, Accounting, and Production, understand how work actually gets done, find where AI and automation will pay off, and then run the projects that deliver it. The core of the role is AI program leadership: building the roadmap, managing outside AI partners, running pilots, driving adoption of the company's enterprise AI tools, and reporting results to leadership and corporate. Supporting that is business analytics and reporting: defining KPIs, partnering with the analytics team on the company data lake and Power BI, and making sure decisions run on one trusted set of numbers. Underneath both is the ERP: understanding the data model, working with the ERP administrator and implementation partner on configuration and integration needs, and keeping AI and analytics initiatives grounded in the system of record. Reporting to the IT Director, this position is the operational leader of Fresh Origins' AI and data initiatives and a core part of the company's investment in AI-driven transformation. The role works closely with the EDI & Production Systems Coordinator, who manages EDI transactions, trading partner platforms, VIDA18 warehouse management, item data, and the commercial customer portal, and with stakeholders across Finance, Operations, Sales, and Production. It supports Fresh Origins' mission of delivering the highest-quality microgreens and edible flowers through innovation and precision. KEY RESPONSIBILITIES AI Program Leadership • Own the AI roadmap and project portfolio: prioritize initiatives by business value, feasibility, cost, and timeline; sequence them; and manage them end to end from discovery through adoption. • Educate leaders and key stakeholders on AI principles, capabilities, risks, and practical business applications; translate technical concepts into clear business recommendations. • Lead business analysis for AI use cases: interview stakeholders, map current processes, quantify manual effort and data breaks, and define requirements and success metrics before any tool is selected. • Run projects as the project manager of record: scope, timeline, resourcing, risk, testing, rollout, and status reporting for each AI and automation initiative. • Manage outside AI consultants and implementation partners day to day: set deliverables, review work, test outputs, and hold partners to scope, budget, and timeline. • Lead the AI-driven demand planning initiative from the business side: define the planning questions, coordinate data readiness (planting, harvest, yield, weather, holidays, sales), and validate model outputs with Production and Sales. • Support the rollout of AI-assisted order intake and customer service automation: process design, user acceptance testing, and clean handoff into ERP and customer-facing workflows in coordination with the EDI & Production Systems Coordinator. • Drive adoption of the company's enterprise AI tools: identify use cases by department, deliver training and office hours, manage licenses, and track utilization and outcomes. • Pilot and evaluate AI capabilities for forecasting, anomaly detection, document processing, and workflow automation; recommend build, buy, or partner decisions. • Prepare AI program updates for company leadership and corporate stakeholders, including portfolio-level AI reporting and best-practice sharing. • Maintain the AI governance framework with the IT Director: responsible use, data privacy, vendor risk, and change management. • Own business continuity for AI tools, automations, and integrations once live: documentation, monitoring, fallback procedures, and clear ownership of what happens when a system fails. Business Analytics & Reporting • Define and maintain KPI definitions with Finance, Operations, and Sales so leadership reports from a single source of truth. • Partner with the analytics team and outside partners on the company data lake and Power BI: prioritize dashboards, validate data, and drive adoption of governed reporting over manually built spreadsheets. • Analyze structured and unstructured data (transactions, customer service notes, emails, call records) to surface trends, exceptions, and opportunities that feed the AI roadmap and leadership decisions. • Identify where teams are manually assembling data the data lake already produces and migrate them to governed reporting. ERP & Systems • Understand the ERP data model and core processes (order-to-cash, procure-to-pay, inventory, financial close) well enough to design AI and analytics solutions that fit how the business runs. • Translate business requirements into configuration and integration requests; work with the ERP administrator and implementation partner to deliver them. • Improve data connectivity across the business systems stack (NetSuite, Salesforce, Power BI, ADP, VIDA18, and EDI middleware) so AI and analytics initiatives run on connected, trusted data. • Champion master data quality across items, customers, vendors, and GL structure; lead cleanup and reclassification efforts that unblock reporting and AI. • Review ERP release notes and platform AI features; recommend adoption to leadership. • Document processes, data standards, and standard operating procedures for AI-supported workflows. QUALIFICATIONS & EXPERIENCE Education • Bachelor's degree in Business Administration, Information Systems, Data Analytics, Industrial Engineering, or a related field, or equivalent experience. • PMP, CBAP, or similar project or business analysis certification is a plus. Experience • 5+ years as a business analyst, systems analyst, or project manager in an ERP-driven environment (NetSuite, SAP, Dynamics, Oracle, or similar). • Proven record leading cross-functional projects end to end and managing vendors, consultants, or implementation partners. • Hands-on experience gathering requirements, mapping processes, and defining KPIs for operations, finance, or sales teams. • 1+ years leading or contributing to AI, machine learning, or intelligent automation initiatives in a business setting; experience rolling out enterprise generative AI tools is strongly preferred. • Experience working with a BI platform (Power BI preferred) and a data warehouse or data lake. • Experience in food production, agriculture, manufacturing, or distribution is a significant plus. Technical Skills • Working knowledge of ERP data structures and core transaction flows; NetSuite experience is a plus, not a requirement. • SQL for data validation and analysis; comfort with a cloud data warehouse (BigQuery or similar). • Power BI or equivalent BI tool; dashboard design and KPI definition. • Project management tools and methods (Agile or hybrid); requirements and process documentation. • Familiarity with generative AI platforms, AI-powered analytics, and automation tools; ability to evaluate vendors and pilot solutions. • Advanced Excel (pivot tables, Power Query, XLOOKUP); exposure to Python or scripting is a plus. CORE COMPETENCIES • Business-first thinker: starts with the problem and the process, not the tool. • Strong project management discipline: scopes clearly, communicates status, manages risk, and finishes. • Clear communicator and teacher; explains AI to non-technical stakeholders, including executives and corporate, without hype. • Data-literate and analytical; comfortable questioning numbers and validating results. • Collaborative and pragmatic; builds trust across Accounting, Operations, and Sales. • Curious and self-directed, with a growth mindset toward AI and automation. • Organized and accountable; manages multiple vendors, projects, and deadlines at once. LEADERSHIP EXPECTATIONS • Act as the trusted advisor to leadership on AI, analytics, and business systems. • Own outcomes, not just tasks: define success for each initiative, measure it, and report it. • Manage outside partners and consultants to deliverables, budget, and timeline. • Mentor the EDI & Production Systems Coordinator and other team members on analysis, data standards, and AI tools; potential future supervision of analyst-level staff. • Champion responsible AI adoption and data literacy across the organization. • Model professionalism, accountability, and continuous learning. • Prioritize the safety and well-being of co-workers by following all company safety protocols. PERFORMANCE MEASURES • On-time, on-scope delivery of AI and automation projects (demand planning, AI order intake, tool rollouts). • Measurable time savings, cost reduction, or accuracy gains from AI initiatives, documented per project. • Enterprise AI tool utilization and active use cases by department. • Adoption of governed Power BI reporting and reduction in manually built spreadsheets. • Quality of requirements, process documentation, and KPI definitions. • Partner and vendor performance against scope, budget, and timeline. • Stakeholder satisfaction across Finance, Operations, and Sales. CAREER DEVELOPMENT OPPORTUNITIES This position offers growth into roles such as Senior Manager, AI & Transformation; Director of Business Systems; Director of Data & Analytics; or Vice President of AI, Transformation & Strategic Initiatives click apply for full job details

Job Description ABOUT THE COMPANY Our client is a venture-backed legal AI startup helping organizations turn regulatory change into clear, practical action. Its platform monitors evolving laws and regulations, identifies what matters to each business, and highlights gaps in existing compliance programs. Join a team where your ideas can shape the product and your work can make a direct impact. The culture emphasizes ownership, meaningful results, resourcefulness, and open debate-bringing together the urgency of a startup with a commitment to building reliable AI. ABOUT THE ROLE We are seeking an AI Engineer to build the AI, machine learning, and agentic systems behind a product tackling complex regulatory challenges. This is an opportunity to own the full lifecycle-from data and experimentation to evaluation, deployment, and real-world performance. You'll work closely with product and engineering, ship quickly, and see your work become features customers use. If you enjoy solving difficult problems, building robust systems, and turning promising models into practical products, this role offers room to take ownership and help shape what comes next. RESPONSIBILITIES: Build, train, evaluate, and deploy AI/ML and agentic systems across the full lifecycle. Develop data pipelines, curate representative datasets, and improve models through rapid experimentation. Design rigorous evaluations and use production feedback to improve real-world performance. Deploy reliable, low-latency AI workloads in Azure, including monitoring, versioning, and retraining pipelines. Partner with product and engineering to deliver user-facing AI features and contribute to backend development. QUALIFICATIONS: Hands-on experience training, tuning, and shipping AI/ML models in production. Experience owning the ML lifecycle, including data collection, labeling, training, deployment, and monitoring. Strong evaluation skills and the ability to diagnose model failures in real-world conditions. A commitment to robust engineering, observability, tooling, and efficient development workflows. Comfort with ambiguity, changing requirements, pragmatic tradeoffs, and taking ownership in a fast-paced environment. Ability to translate business needs into ML solutions and explain model behavior to non-technical stakeholders. Azure ML or similar cloud platform experience is a plus; NLP, document understanding, or classification experience is a bonus.

Job Description Role Description: This is a full-time remote role for Algorithm Engineer (Ads) Responsibilites: 1. Formulate and solve optimization problems for cross-channel budget pacing and intelligent bid adjustments across major search platforms. 2. Perform complex exploratory data analysis (EDA) to evaluate the financial impact of strategic initiatives and the performance of various creative combinations. 3. Utilize and fine-tune Large Language Models (LLMs) to generate and iterate high-converting ad copy and brainstorm keywords at scale. 4. Integrate multi-modal/image generation models to produce and optimize visual assets for ads and landing pages. 5. Implement algorithms to logically organize massive, unstructured keyword lists into coherent ad groups. 6. Partner closely with data and software engineers to deploy bidding rules, analytical models, and Generative AI pipelines into robust production environments. Requirements: 1. Master's degree or PhD in Computer Science, Data Science, Statistics, Operations Research, AI/Machine Learning, or a highly quantitative field. 2.2+ years of experience in algorithmic roles, data science, or machine learning, ideally with exposure to both optimization/analytics and NLP/Generative AI. 3. Strong programming skills in Python and deep proficiency with SQL for complex data extraction, manipulation, and analysis. 4. Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and working knowledge of LLMs (e.g., prompt engineering, fine-tuning). 5. Deep understanding of statistical concepts, causal inference, and rigorous A/B testing design. 6. Exceptional analytical problem-solving skills and the ability to adapt to changing business needs across different technical domains. In addition, you may receive benefits depending on the nature of employment, job position, and work location. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Insurance Coverage 2. Paid Time Off (PTO) 3. Paid Sick Leave (in accordance with applicable state and local laws) 4. 403(k) Plan The Company reserves the right to modify or change these benefit programs at any time, with or without notice, consistent with applicable law.