233 jobs found

Job Description Job Description Job Title: Lab Support (IT Support - Laboratory) Location: Highland Park, NJ (Onsite) Job Description: We are looking for an experienced Lab IT Support professional to support laboratory systems, instruments, and users. The candidate will work closely with scientists, vendors, and IT teams to ensure smooth operations of lab environments. Key Responsibilities: Provide IT support for lab systems and instruments Install, configure, and maintain Windows-based systems Troubleshoot hardware, software, and network issues Support Active Directory, networking, and security tools Assist with lab equipment setup, upgrades, and data backup Work with vendors and internal teams for issue resolution Required Skills: 5+ years of experience in IT/Desktop Support Strong knowledge of: Windows OS, Active Directory Networking (TCP/IP, DNS, DHCP) Experience with SCCM / Altiris / ServiceNow Good troubleshooting and communication skills Nice to Have: Experience in laboratory or scientific environments Basic knowledge of Linux / Cloud (AWS)

Job Description Job Description Sr. Ios Developer Location : Mountain View, CA (hybrid) Responsibilities Create impactful iOS experiences with deep customer empathy, quickly translating insights into mockups, wireframes, and proof-of-concept code Act as the technical subject matter expert, mentoring fellow engineers, leading a small team, and solving challenging programming and design problems Proactively identify opportunities to enhance software applications with AI technology Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics Qualifications BS/MS in computer science or equivalent work experience 7+ years of professional experience with expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications Expertise in Swift and SwiftUI Experience in the Software design/architecture process Experience in the entire Software Development Life Cycle (SDLC) Experience with web services (consuming or creating) with REST or SOAP Excellent communication skills, with the ability to explain complex technical issues to different audiences Familiarity with the development challenges that come with highly scalable and available web applications Experience with unit testing and Test Driven Development (TDD) Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers

Job Description About the Company We're looking for an experienced senior or Lead Data Engineer to join our client projects across diverse domains-finance, healthcare, retail, and cloud-based ecosystems. This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms. About the Role This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms. Responsibilities Architect, build, and maintain scalable data pipelines and ETL processes using modern tools and cloud technologies Develop and deploy data ingestion frameworks for structured and unstructured data sources. Work closely with data scientists, analysts, and DevOps teams to design efficient data models and ensure seamless integrations. Optimize performance of large-scale data lakes and warehouses. Implement data governance, lineage, and quality frameworks. Lead and mentor junior data engineers and ensure best practices in data engineering. Qualifications 8+ years of hands-on experience in data engineering, ETL development, and pipeline automation. Required Skills Strong expertise in at least one cloud platform - AWS, Azure, or GCP. Hands-on with Spark, PySpark, Databricks, Kafka, Snowflake, Airflow, SQL, and Python. Experience with data warehousing (Redshift, BigQuery, Synapse, etc.) and streaming technologies. Solid understanding of data modeling, orchestration, and performance tuning. Excellent communication skills and ability to work in collaborative, cross-functional teams. Preferred Skills Experience in data modernization or migration projects. Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes). Pay range and compensation package Full-time W2 contract with client. No C2C Equal Opportunity Statement We are committed to diversity and inclusivity. ? Interested candidates can apply directly or share resumes at Let's build the future of data together

Job Description AI Architect - Telecom Domain Job Overview We are seeking an experienced AI Architect with deep expertise in the Telecom domain to design and implement next-generation AI solutions. The ideal candidate will have strong knowledge of telecom networks, AI/ML architectures, cloud platforms, and enterprise-scale solution design. This role involves leading AI initiatives, building intelligent copilots and agents, driving innovation, and supporting strategic business transformation programs. Key Responsibilities Design and architect AI-powered assistants, copilots, and agentic AI solutions for telecom operations and engineering teams. Develop intelligent solutions for incident management, root cause analysis (RCA), anomaly detection, predictive maintenance, and operational automation. Build and integrate AI platforms using LLMs, RAG, Knowledge Graphs, Vector Databases, and Multi-Agent Systems. Lead AI product development, accelerators, proofs of concept (PoCs), and enterprise AI initiatives. Integrate structured and unstructured data from network telemetry, documentation, OSS/BSS platforms, and operational systems. Establish AI governance, security, observability, and responsible AI standards. Mentor cross-functional teams including AI Engineers, Data Scientists, Data Engineers, and Software Developers. Support client solutioning, executive presentations, proposals, and AI transformation engagements. Required Skills Strong Telecom domain expertise in RAN, Core Networks, Transport, OSS/BSS, Service Assurance, and Network Operations. Hands-on experience with LLMs, Agentic AI, RAG, Knowledge Graphs, Vector Databases, and AI Orchestration Frameworks. Expertise in Azure, Databricks, Microsoft Fabric, Snowflake, MLOps, LLMOps, APIs, and Microservices. Experience building AI solutions for network intelligence, automation, and operational analytics. Strong leadership, stakeholder management, and enterprise architecture experience.

Job Description Role Summary: The AI Solutions Engineer will design, build, test, and maintain reusable software, data pipelines, automation, and AI-enabled applications for Translational Medicine. The successful candidate will translate requirements from business, scientific, and operational stakeholders into reliable data products, automated quality-control workflows, dashboards, and agentic AI applications. The engineer will work closely with data scientists, product owners, and enterprise technology teams to move prioritized solutions from requirements through deployment and maintenance. The role is focused on developing scalable technical products, not conducting primary data analysis or building isolated, study-specific tools. Solutions must be secure, well documented, version-controlled, reproducible, and aligned with enterprise and industry data, privacy, cybersecurity, quality, and responsible AI requirements. Responsibilities: AI Application and Software Engineering Design, develop, test, document, and maintain AI-enabled applications, dashboards, APIs, and/or workflow-automation solutions using approved models and platforms. Develop modular components that can be reused across programs, studies, disease areas, and workflow types. Create user-friendly applications that make governed data and computational capabilities accessible to scientific and operational users. Evaluate prototypes for feasibility, reliability, scalability, maintainability, and readiness for broader deployment. Implement human review, source visibility, feedback mechanisms, access controls, and appropriate transparency measures for AI-enabled products. Data Engineering and Automated Quality Control Develop and maintain data-ingestion, transformation, reconciliation, validation, and quality-control workflows for clinical biomarker data. Maintain and expand existing R-based software, ETL scripts, and automated QC capabilities. Translate data-transfer specifications, scientific requirements, and business rules into executable code. Develop configurable workflows that reduce repetitive setup and manual intervention across datasets and studies. Produce clear reports, processing logs, QC outputs, and traceable records for scientific and operational review. Preserve source values, surface unresolved exceptions, and ensure workflows fail safely. Software Quality and Reproducibility Write maintainable, modular, tested, and appropriately documented code. Use approved source-control, branching, release, and versioning practices with Git. Maintain traceability among requirements, source data, code versions, tests, outputs, and releases. Contribute to monitoring, logging, error handling, and operational support documentation. Support risk-appropriate peer review and independent code validation. Responsible AI and Governance Design solutions in accordance with applicable responsible AI, privacy, cybersecurity, data-rights, third-party, quality, and regulatory requirements. Document solution architecture, data sources, data flows, intended users, intended use, limitations, and human-oversight mechanisms. Support required AI risk triage, mitigation documentation, and technical reviews. Implement and test agreed technical controls. Escalate governance, privacy, security, data-rights, validation, or regulatory questions to the accountable Pfizer experts. Required Qualifications Education and Experience Bachelor's or master's degree in computer science, software engineering, data science, bioinformatics, computational biology, biomedical engineering, or a related quantitative field. At least two years of professional experience developing data-intensive software, scientific applications, data pipelines, AI-enabled applications, or automation solutions in a production setting. Demonstrated experience delivering software beyond exploratory notebooks or one-time analyses. Experience translating stakeholder needs into technical requirements. Experience testing, documenting, releasing, maintaining, and troubleshooting software. Experience in life sciences, pharmaceuticals, biotechnology, clinical research, or other regulated environments. Required Technical Skills Proficiency in Python for application development, automation, data processing, API integration, and testing. Proficiency in R, including package development or maintenance, ETL workflows, testing, and documentation. Strong command of Git and GitHub, including branching and pull requests as well as release and version management. Experience with code documentation, automated testing, logging, debugging, and error handling. Experience developing ETL, data-validation, reconciliation, or workflow-automation solutions. Working knowledge of Linux development environments. Ability to communicate technical concepts to scientific and operational stakeholders. Preferred Qualifications Experience with clinical, multi-omics, imaging, pathology, or real-world datasets. Experience building generative-AI or agentic applications, structured outputs, evaluation frameworks, or human-in-the-loop approaches. Experience with Microsoft Copilot Studio. Experience with AWS and/or Databricks. Experience with Docker, CI/CD pipelines, and deployment automation. Familiarity with SQL, relational DBs, and other data structures. Experience with REST APIs and MCP. Familiarity with Airflow, Nextflow, Snakemake, CWL, or other workflow platforms. Understanding of data provenance, privacy, consent, regulated data, GxP considerations, and risk-based software validation

Job Description Employment Type: W2 Contract Duration: 12 months The AI Solutions Engineer will design, build, test, and maintain reusable software, data pipelines, automation, and AI-enabled applications for Translational Medicine. The successful candidate will translate requirements from business, scientific, and operational stakeholders into reliable data products, automated quality-control workflows, dashboards, and agentic AI applications. The engineer will work closely with data scientists, product owners, and enterprise technology teams to move prioritized solutions from requirements through deployment and maintenance. The role is focused on developing scalable technical products, not conducting primary data analysis or building isolated, study-specific tools. Solutions must be secure, well documented, version-controlled, reproducible, and aligned with enterprise and industry data, privacy, cybersecurity, quality, and responsible AI requirements. Key Responsibilities 1. AI Application and Software Engineering Design, develop, test, document, and maintain AI-enabled applications, dashboards, APIs, and/or workflow-automation solutions using approved models and platforms Develop modular components that can be reused across programs, studies, disease areas, and workflow types Create user-friendly applications that make governed data and computational capabilities accessible to scientific and operational users Evaluate prototypes for feasibility, reliability, scalability, maintainability, and readiness for broader deployment Implement human review, source visibility, feedback mechanisms, access controls, and appropriate transparency measures for AI-enabled products 2. Data Engineering and Automated Quality Control Develop and maintain data-ingestion, transformation, reconciliation, validation, and quality-control workflows for clinical biomarker data Maintain and expand existing R-based software, ETL scripts, and automated QC capabilities Translate data-transfer specifications, scientific requirements, and business rules into executable code Develop configurable workflows that reduce repetitive setup and manual intervention across datasets and studies Produce clear reports, processing logs, QC outputs, and traceable records for scientific and operational review Preserve source values, surface unresolved exceptions, and ensure workflows fail safely 3. Software Quality and Reproducibility Write maintainable, modular, tested, and appropriately documented code Use approved source-control, branching, release, and versioning practices with Git Maintain traceability among requirements, source data, code versions, tests, outputs, and releases Contribute to monitoring, logging, error handling, and operational support documentation Support risk-appropriate peer review and independent code validation 4. Responsible AI and Governance Design solutions in accordance with applicable responsible AI, privacy, cybersecurity, data-rights, third-party, quality, and regulatory requirements Document solution architecture, data sources, data flows, intended users, intended use, limitations, and human-oversight mechanisms Support required AI risk triage, mitigation documentation, and technical reviews Implement and test agreed technical controls Escalate governance, privacy, security, data-rights, validation, or regulatory questions to the accountable experts Required Qualifications: Education and Experience Bachelor's or master's degree in computer science, software engineering, data science, bioinformatics, computational biology, biomedical engineering, or a related quantitative field At least two years of professional experience developing data-intensive software, scientific applications, data pipelines, AI-enabled applications, or automation solutions in a production setting Demonstrated experience delivering software beyond exploratory notebooks or one-time analyses Experience translating stakeholder needs into technical requirements Experience testing, documenting, releasing, maintaining, and troubleshooting software Experience in life sciences, pharmaceuticals, biotechnology, clinical research, or other regulated environments Required Technical Skills Proficiency in Python for application development, automation, data processing, API integration, and testing Proficiency in R, including package development or maintenance, ETL workflows, testing, and documentation Strong command of Git and GitHub, including branching and pull requests as well as release and version management Experience with code documentation, automated testing, logging, debugging, and error handling Experience developing ETL, data-validation, reconciliation, or workflow-automation solutions Working knowledge of Linux development environments Ability to communicate technical concepts to scientific and operational stakeholders Preferred Qualifications Experience with clinical, multi-omics, imaging, pathology, or real-world datasets Experience building generative-AI or agentic applications, structured outputs, evaluation frameworks, or human-in-the-loop approaches Experience with Microsoft Copilot Studio Experience with AWS and/or Databricks Experience with Docker, CI/CD pipelines, and deployment automation Familiarity with SQL, relational DBs, and other data structures Experience with REST APIs and MCP Familiarity with Airflow, Nextflow, Snakemake, CWL, or other workflow platforms Understanding of data provenance, privacy, consent, regulated data, GxP considerations, and risk-based software ? Interested in this opportunity? Apply through LinkedIn or get in touch to learn more about the role. Aequor Technologies LLC is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

Job Description This resource will be responsible for helpdesk, onsite support, maintaining, troubleshooting, and optimizing our laboratory technology environment. The ideal candidate will possess a strong blend of macOS/Window PC systems administration expertise and experience supporting specialized scientific equipment and laboratory IT infrastructure. Working Hours & Location: Onsite 5 days/week in Morrisville, NC Key Responsibilities Scientific & Laboratory IT Support Provide onsite technical support for a variety of laboratory equipment, including but not limited to NestSeq, QXManager, HPLCs, SpectraMax, and microscopes across Windows, Linux, and macOS platforms. Install, validate, configure, and maintain lab software, hardware, and backup systems, ensuring optimal performance and compatibility. Perform regular routine maintenance and software-level calibration of lab equipment workstations. Collaborate directly with scientists and researchers to understand their specific technical workflows and provide tailored IT solutions. Provide technical support to lab personnel, addressing their daily IT-related questions and issues to minimize downtime. Train lab personnel on the proper use and best practices of laboratory workstations. macOS & Windows Ecosystem Administration Provide technical support with Windows PC related to lab applications, including Empower, QXManager, Softmax Pro, JMP, Graphpad, etc. Provide comprehensive technical support for macOS and related applications, executing deep troubleshooting for both hardware and software issues. Install, configure, and maintain macOS systems, ensuring stringent security and optimal performance. Manage user accounts, permissions, and access controls within the macOS environment. Support a range of Mac applications, including Microsoft Office, Adobe Creative Suite, and specific scientific data analysis software. Support, configure, and manage mobile devices (iPhones, iPads) integrated into the broader Mac environment. General IT, Data, & Asset Management Troubleshoot and resolve general hardware and software issues, including computer malfunctions, network connectivity problems, and application errors. Assist in the implementation, maintenance, and optimization of data management systems used throughout the lab. Ensure data security and integrity by implementing, enforcing, and assisting users with robust data backup and recovery procedures. Assist in the development of IT asset management workflows and conduct regular system health checks. Documentation & Compliance Maintain accurate, up-to-date documentation of lab system configurations, troubleshooting steps, and ongoing maintenance procedures. Document accessible IT procedures, FAQs, and protocols for lab personnel. Adhere strictly to all laboratory safety protocols and procedures while performing onsite duties.

Job Description Job Title / Role: Salesforce Data Cloud Solution Architect Key Skills: Salesforce Data Cloud, CRM Analytics, Salesforce Data Models. Experience: 15+ Location: San Deigo CA Shift: General Mode: On-Site We at Coforge are seeking "Salesforce Data Cloud Solution Architect" with the following skill set : Roles and Responsibilities Solution Design & Architecture Implementation & Integration Design end-to-end data architecture using Salesforce Data Cloud, integrating with various Salesforce clouds (Sales, Service, Marketing, etc.) and external systems. Define data models, ingestion pipelines, identity resolution strategies, and activation mechanisms. Ensure alignment with enterprise data governance and security standards. Lead the implementation of Data Cloud features including data ingestion, harmonization, segmentation, and activation. Collaborate with integration teams to connect external data sources (e.g., AWS, Azure, Snowflake, Mulesoft). Oversee ETL/ELT processes and ensure data quality and consistency. Work with business analysts, marketers, and data scientists to understand data needs and translate them into technical solutions. Provide guidance and best practices to development teams and ensure adherence to architectural standards. Monitor system performance and optimize data flows and queries. Implement scalable solutions to handle large volumes of customer data. Create architectural documentation, data flow diagrams, and technical specifications. Train internal teams on Data Cloud capabilities and usage. Technical Competencies Deep understanding of Salesforce Data Cloud (CDP), CRM Analytics, Marketing Cloud, and core Salesforce platform. Experience with Salesforce data models, APIs, and integration patterns. Strong knowledge of data modeling, data lakes, data warehouses, and real-time data processing. Experience with identity resolution, data harmonization, and segmentation strategies. Proficiency in tools like Mulesoft, Informatica, Talend, or custom ETL solutions. Familiarity with cloud platforms (AWS, Azure, GCP) and data connectors. SQL, Python, Apex, and familiarity with JSON, XML. Experience with data visualization tools (Tableau, CRM Analytics). Understanding of data privacy regulations (GDPR, CCPA) and Salesforce Shield. Experience implementing role-based access controls and encryption. Certifications (Preferred) Salesforce Certified Data Cloud Consultant. Salesforce Certified Integration Architecture Designer. Salesforce Certified Application Architect or System Architect.

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge seeks a Product Designer to join our Experience Design team supporting our Aviation Tech team and the continued development and expansion of AIRES, our aviation readiness capability. In this role, you will create high-fidelity UI prototypes in Figma, help maintain and extend our design system, and translate research findings, operational workflows, and technical requirements into clear, production-ready product experiences. You will work as part of a small product design team, collaborating closely with a senior product designer who will provide day-to-day direction, design critique, and mentorship. You will also work with UX researchers, engineers, data teams, product stakeholders, and aviation subject-matter experts. Ideal candidates are strong UI craftspeople who understand how design systems work in practice, are comfortable designing complex data-rich interfaces, are eager to learn, and thrive on clear direction and regular feedback. Over time, this role is expected to grow from executing defined design work to taking greater ownership of product workflows and features. Design Patterns and Architectural Context In data and software engineering, a design pattern is a battle-tested blueprint for solving a recurring problem. It is not a specific piece of code, but a standardized mental model that allows teams to skip the trial-and-error phase of architecture. SteerBridge applies proven patterns such as Medallion Architecture to structure, validate, and operationalize data within mission-critical aviation analytics platforms. Product designers work within this architectural context to translate complex data, workflows, and system behavior into clear, usable, and decision-ready experiences for operators working in high-consequence environments. Primary Mission Area The platform supports aviation readiness and sustainment operations including: Fleet readiness monitoring Maintenance planning Supply chain coordination Logistics forecasting Operational planning support Primary users include aviation maintainers, logisticians, planners, and senior decision-makers operating under time pressure and incomplete information. The work involves complex, data-rich interfaces that help users understand aircraft status, maintenance requirements, supply constraints, readiness risk, and potential courses of action. Key Responsibilities Design high-fidelity prototypes and production-ready interfaces in Figma, translating wireframes, user flows, UX research, operational requirements, and technical constraints into polished product experiences. Design complex, data-driven workflows and interfaces supporting aviation readiness, maintenance, logistics, and operational planning. Partner with UX researchers and aviation subject-matter experts to translate validated user needs, research findings, and operational workflows into wireframes, interaction models, prototypes, and product designs. Support and maintain the team's design system by applying established components, tokens, visual standards, and interaction patterns consistently and identifying opportunities for new or improved patterns. Collaborate with engineers, product stakeholders, researchers, and data teams to evaluate design feasibility, refine solutions, and iterate based on usability testing, stakeholder feedback, technical constraints, and evolving requirements. Prepare detailed design handoffs, including states, edge cases, interactions, and expected behaviors, and perform design QA to ensure implemented features align with Figma specifications. Manage multiple design tasks and Jira tickets across sprints, working within established priorities, estimating work, tracking progress, and proactively communicating blockers. Participate in design reviews and critiques, incorporate feedback into subsequent iterations, and clearly communicate design rationale to technical and non-technical stakeholders. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain a Secret security clearance as required for the role. Bachelor's degree in Design, Human-Computer Interaction, or a related field, or equivalent relevant professional experience. 2-4 years of professional experience in UI or product design; exceptional early-career candidates with strong portfolios will also be considered. Portfolio demonstrating strong UI design skills, design system experience, and the ability to organize complex information and design multi-step user workflows. Strong proficiency in Figma, including components, variants, auto layout, and interactive prototyping, with experience translating wireframes, workflows, and requirements into high-fidelity, developer-ready designs. Strong understanding of design systems and foundational UI principles, including components, tokens, patterns, typography, visual hierarchy, layout, spacing, and color. Working knowledge of Section 508 and WCAG accessibility standards and their application to user interface design. Strong communication and collaboration skills, including the ability to present and explain design decisions, constraints, and tradeoffs; receive and incorporate feedback and mentorship; and manage assigned work using Jira or similar Agile tools. Preferred Qualifications Experience designing data-rich applications, dashboards, enterprise software, decision-support tools, or other complex interfaces that present system states, dependencies, alerts, operational status, or similar information clearly and effectively. Working knowledge of UX principles, including usability heuristics, information architecture, and interaction design, with the ability to identify potential usability concerns within complex user workflows. Working knowledge of HTML/CSS and experience collaborating with engineers to understand implementation feasibility and technical constraints. Experience contributing to design systems or component libraries and working within Agile/Scrum environments, including sprint planning, backlog refinement, and retrospectives. Experience with rapid prototyping, motion, or interaction design techniques to communicate product concepts and interactions beyond static screens, including AI-assisted tools such as Claude, ChatGPT/Codex, or comparable platforms. Experience supporting DoD, federal, aviation, logistics, fleet management, or other government or mission-critical programs. The Teams Behind the Technology Aviation analytics platforms succeed when multidisciplinary teams design, build, secure, and refine them with operational intent. SteerBridge's aviation technology organization brings together software developers, data architects, data scientists, product and UI/UX designers, UX researchers, and aviation subject-matter experts. Product designers work across these disciplines to translate complex operational requirements, user research, and data into intuitive product experiences. This collaboration is especially important in environments where time pressure, operational risk, and accountability matter. Tools and Artifacts Figma Jira AI-assisted design, prototyping, and development tools such as Claude, ChatGPT/Codex, or comparable platforms Microsoft Office and collaboration tools What Success Looks Like Designs accurately reflect validated user workflows and operational requirements while making complex aviation data clear and actionable. Figma prototypes and design documentation provide engineers with clear, implementation-ready specifications and minimize ambiguity during development. New features consistently apply and strengthen the AIRES design system, with design QA identifying implementation issues before they negatively affect the user experience. Product decisions effectively balance user research, technical constraints, aviation domain expertise, and operational needs. The designer collaborates effectively across design, engineering, research, and product teams while progressing from executing defined work to owning increasingly complex workflows and product features. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills . click apply for full job details

Job Description UX Researcher Vienna, VA / Corporate - Tech / Full-time / Hybrid SteerBridge is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a UX Researcher to support a mission-critical Defense Aviation platform used by federal customers. This role focuses on understanding operational workflows in aviation readiness and sustainment environments and translating those insights into usable product experiences. The researcher will work directly with designers, engineers, data scientists, and domain experts to ensure the system supports fleet readiness monitoring, maintenance planning, logistics coordination, and operational decision-making. Unlike traditional or academically focused research roles, this position requires demonstrated experience applying UX research within a software product development environment. The researcher must be able to move beyond research findings and translate user insights into actionable product requirements, workflow improvements, interface concepts, and prototypes that can be implemented by design and engineering teams. The ideal candidate has worked directly within multidisciplinary software teams and understands how UX research contributes throughout the product development lifecycle-from discovery and requirements definition through design, prototyping, usability validation, iteration, and implementation. SteerBridge applies proven design patterns such as Medallion Architecture to structure, validate, and operationalize data within aviation analytics platforms. UX research ensures these architectural patterns translate into clear, usable, and decision-ready experiences for operators working in high-consequence environments. Key Responsibilities Plan and conduct qualitative and quantitative UX research, including user interviews, contextual inquiries, surveys, workflow analysis, and observation of operational environments. Conduct usability testing on prototypes and production systems and synthesize findings into actionable insights that inform product and design decisions. Develop personas, journey maps, workflow models, and other research artifacts that capture user needs, behaviors, operational constraints, and decision-making patterns. Translate research findings into wireframes, prototypes, interaction models, and research-informed concepts that improve user workflows and experiences. Collaborate with product designers to refine concepts, support information architecture and interaction design decisions, and validate solutions through iterative usability testing. Partner with engineers, data teams, Product Owners, and subject matter experts to align user needs and operational workflows with system architecture and technical constraints. Participate in backlog refinement, design reviews, and design-to-development handoffs, providing clear research findings and documentation to support implementation. Conduct domain and competitive research on aviation logistics and sustainment systems, tools, and operational practices to inform product strategy and direction. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. 3+ years of professional UX research, human factors, or applied product research experience supporting software or digital product development. Strong command of UX research methodologies, including interviews, usability testing, workflow analysis, and research synthesis. Ability to analyze complex operational environments and translate research findings into clear user insights and actionable product requirements, workflows, interface concepts, prototypes, or product improvements. Experience working with complex enterprise or government software systems. Experience collaborating effectively with multidisciplinary teams, including engineers, designers, data scientists, Product Owners, and other stakeholders. Strong written and verbal communication skills, with the ability to clearly present research findings and recommendations to technical and non-technical audiences. Preferred Qualifications Experience with aviation, defense, logistics, or fleet management systems. Experience supporting enterprise analytics or decision-support platforms. Familiarity with data-driven interfaces, including dashboards and operational planning tools. Experience with Figma or similar prototyping and design tools. $115,000 - $135,000 a year The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge Strategies is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

Job Description CLOUD SYSTEMS ENGINEER - Northern VA, US Must hold a Top Secret clearance We are looking for a Cloud Systems Engineer Competitive Salary + Unbeatable Benefits Package Summary Join a team dedicated to advancing critical national security missions through innovative software and systems engineering. You will support Signals Intelligence (SIGINT), secure communications, and advanced data processing systems. Working alongside multidisciplinary teams of engineers and scientists, you will contribute to mission-critical capabilities that enable the collection, processing, exploitation, and dissemination of intelligence across strategic and tactical environments. Required Skills: B.S. in Computer Science, Computer Engineering, or similar fields 5+ years of Systems Engineering experience Building and maintaining cloud native environments in AWS Linux AND scripting (Bash, Python) TOP SECRET Clearance - with SCI eligibility Desired Skills: Creating AWS services (EC2, VPC) Top Secret/SCI with Polygraph TO BE CONSIDERED Please apply by clicking online or emailing me directly: . I am happy to take calls outside of work hours if given notice. If I am unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also, feel free to connect with me on LinkedIn ( -hutchens-3b24a41b9/). I look forward to hearing from you! Key Skills: Cloud, AWS, Linux, Bash, Python

Job Description Considering candidates LOCAL to Cincinnati or Dayton, OH only! An active TS security clearance is a MUST. Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers' most significant challenges and opportunities. Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun. The Position : Etegent is seeking a Software Engineer to help transition data exploitation algorithms from R&D into useable software to benefit our Department of Defense (DoD) and Intelligence Community (IC) customers. This opportunity will involve application software development from conceptualization and implementation to delivery and sustainment for DoD and IC user groups. This position is based in our Dayton office with some work performed on-site in our customers' facilities. The ideal candidate will have experience in all phases of the software development lifecycle, be detail oriented, and have a passion for creating software solutions to enhance the capabilities of others. Experience working on-site to support either AFRL or NASIC is preferable. The immediate focus will be working on projects in signal processing, algorithm efficiency, webstack, databasing, infrastructure and deployment. Job responsibilities may include : Write efficient, modular, and well-documented code. Collaborate with machine learning scientists and engineers building data analytics tools. Develop customized tool sets to accelerate machine learning data curation and quality control including machine assisted data labeling and quality checks. Develop reliable machine learning pipelines to support research, training, evaluation, and deployment. Build visualizations of complex numerical and scientific data. Develop signal processing chains and algorithms to process large sensor data volumes with near real-time availability of results. Design and implement optimized, low-level code on embedded hardware Design and implement end user applications that leverage machine learning algorithms. Build and deploy machine learning systems/computer vision systems for analysts. Architect user interfaces/APIs for sensor simulation, exploitation, and analytics. Identify architectures and tool sets to support design implementations and ways to optimize throughput. Develop database schema and application interfaces to scale solutions on high performance computing environments (HPC/Cloud) Assist in monitoring and directing project schedules, resources, and costs. Report on software development status and demonstrate software to customers. Build and maintain GitLab CI/CD pipelines for multiple projects. Required Qualifications: Education and Experience : Bachelor's Degree in Computer Science, Software Engineering, or computer-related engineering field. We are open to new graduates or varying levels of professional software engineering experience. Previous experience in Software Engineering. Experience with data visualization tools or libraries. Object Oriented software development knowledge and experience. Unit testing tools and methodologies knowledge and experience. Experience with Linux OS. Strong oral and written communication skills. Strong planning and capacity experience in a hands-on environment. An active TS security clearance. Preferred Qualifications: Master's Degree in Computer Science, Software Engineering, Data Science, or a related field. 3+ years of experience in Software Engineering. Experience working with relational SQL databases (e.g., PostgreSQL) Strong knowledge of Python, and common data science / ML packages (e.g., NumPy, PyTorch) Experience or knowledge in Machine Learning and Machine Learning Pipelines. Experience analyzing user requirements and translating to technical designs. Ability to understand the requirements of designing or transitioning software in a production environment Capacity to come up to speed quickly on different algorithms. Familiarity with geospatial standards, GIS applications, or geospatial data formats (e.g., GeoJSON, KML, Shapefiles). Strong knowledge of C++, as well as GPUs and other embedded hardware Experience with web development and common frameworks (e.g., React, TypeScript). Knowledge and experience with WebGL, Web Map Service (WMS) and RESTful interfaces. OpenGL, QT framework, and Web Services experience. Experience scaling algorithms for high performance environments (Cloud/DSRC) TS security clearance with active SCI adjudication. Key Attributes: Ability to work independently and as part of a team, with multiple simultaneous projects. Welcomes a challenge: Seeks out opportunities and does not shy away from adversity. Collaborative: Recognizes the team that is supporting them behind the scenes and works to regularly understand others' needs and communicates frequent updates. Comfortable with adjusting to the needs of a small business and wearing several hats. The Candidate: More so than seeking a candidate with specific training and experience, Etegent seeks a special type of person; someone with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. They are flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand. Working at Etegent: At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following: Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute. Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them. Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses. Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays. Fun employee events: Enjoy frequent employee get-togethers outside of work! Competitive compensation based on qualifications and experience of candidate. Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.

Job Description An established global trading firm is opening a new chapter in AI. Having built one of the most respected proprietary trading businesses in the world, it is now creating a dedicated AI group and expanding the central team behind it. The group's research covers deep learning, foundation models, generative AI, reinforcement learning and new model architectures, and its work ranges from fast proofs of concept to systems built for long-term strategic use. The firm processes petabytes of market data every day across derivatives, equities, ETFs, bonds and currencies, giving researchers a uniquely demanding environment to test what modern AI can do. Senior AI leadership has been brought in from frontier labs, and the group is still small enough that early hires will help decide what it builds. For a researcher who wants room to explore, the resources to go deep, and a seat at the start of something new, this is a rare opening. What you'll do: Design and build experimental AI systems, from early prototypes through to tools with long-term strategic value. Push forward research across deep learning, foundation models, generative AI, reinforcement learning and novel architectures. Partner with trading and technology experts across the firm to identify where AI can make the biggest difference. Run experiments end to end, from first hypothesis to a tested, working system. Contribute directly to the direction of the Lab as one of its founding researchers. Your profile: A proven research background in deep learning, foundation models, generative AI or reinforcement learning, from any field. Practical experience training and building models yourself, rather than only applying existing ones. Strong skills in Python and PyTorch or JAX. A PhD or Master's degree in computer science, machine learning, statistics, physics or another quantitative discipline. Must be eligible to work in the United States. Preferable: Research published at leading conferences or journals, or significant open-source work. Hands-on experience with large-scale or distributed GPU training. A record of carrying ideas successfully from one field into another. Pre-Application: Please do not apply if you're looking for a contract or remote work. You must be eligible to live and work in the US, without requiring sponsorship. Please ensure you meet the required experience section prior to applying. Allow 1-5 working days for a response to any job enquiry. Your application is subject to our privacy policy ( -policy) Why this role: A founding position in a newly formed AI group backed by a highly profitable firm that is investing seriously in AI, data and compute. You'll have the freedom to choose what to work on, the data to make it meaningful, and the chance to shape a research group from its earliest days. The pre-application section is kept as your standard wording. The profile and preferable requirements are still defaults, so confirm them with Scott Richardson before posting.

Job Description Founding Software Engineer - Python / Real-Time Systems A fantastic opportunity for an experienced Software Engineer to join a profitable, self-funded technology company developing advanced pricing and trading systems. As the first engineering hire, you will work directly with the founders to build core infrastructure, improve real-time decision-making and turn research into reliable production systems. This role requires hands-on Python experience building real-time pricing or trading platforms, alongside extensive use of agentic AI development workflows. Location: New York, NY. In-office, five days per week. Salary: $200,000 - $400,000 annual base salary + up to 2% equity Requirements for Founding Software Engineer: 3+ years of professional software engineering experience, with a strong backend, systems or platform engineering background Strong hands-on Python development skills Proven end-to-end experience building scalable, Python-based real-time pricing or trading systems and data pipelines Experience designing and operating data-intensive production platforms Extensive use of agentic AI development workflows to accelerate development, testing and iteration while maintaining production quality Clear examples of building new systems or products from initial concept through to production, with quantifiable business impact A track record of rapid career progression and increasing technical ownership Strong data intuition and the ability to connect technical decisions with commercial outcomes Experience within technology companies with strong engineering standards Confident communicating ideas, challenging assumptions and adapting when an approach does not work Able to work from the New York office five days per week Able to work in the US without employer visa sponsorship or a visa transfer, neither of which is available Experience in financial or market-making environments, a Computer Science degree from a leading program, or an interest in live events is beneficial Responsibilities for Founding Software Engineer: Build and own pricing engines, bidding systems and supporting data infrastructure Develop scalable Python systems supporting real-time trading decisions Turn interactive AI-assisted research into continuously running research pipelines Build A/B testing frameworks to evaluate pricing improvements Improve bidding throughput, reliability and production performance Develop AI-powered tools for operational triage and incident response Implement model drift detection and monitoring Work directly with the founders to prioritize engineering projects and measure their commercial impact What this role offers: First engineering hire scope, with substantial ownership of core systems and technical decisions Challenging work across Python, real-time platforms and machine learning, using agentic AI development workflows A competitive base salary and up to 2% equity in a profitable, self-funded business Applications: If you would like to apply for this unique Software Engineering role, please submit your resume through the relevant application link! We're committed to creating an inclusive and accessible hiring process. If you require reasonable accommodations for your application or during the review process, please let us know by separately emailing (if this email address has been removed by the job board, full contact details are available on our website). RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn't of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Job Description Data Scientist Location - Louisville, KY ( Onsite) Job Summary The Data Scientist is responsible for applying advanced analytics, statistical modeling, and machine learning techniques to solve business problems and improve outcomes across Humana. This role partners with business, product, engineering, and architecture teams to develop data-driven solutions that support enterprise strategies while aligning to Humana's data security, governance, and architecture standards. Key Responsibilities Analyze large, complex datasets to identify trends, risks, opportunities, and actionable insights. Build, validate, and deploy statistical, predictive, and machine learning models. Translate business problems into analytical approaches and measurable outcomes. Partner with Data Engineers, Application Architects, Product Managers, and business stakeholders to design scalable analytics solutions. Develop experiments, forecasting models, segmentation methods, and decision-support tools. Communicate findings through dashboards, visualizations, presentations, and technical documentation. Support model monitoring, performance evaluation, and continuous improvement. Ensure solutions align with enterprise data architecture, reference standards, and approved technology patterns. Follow Humana policies for information protection, least-privilege access, secure storage, and confidential data handling. Contribute to reusable analytics assets, standards, and best practices across teams. Required Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related field. Experience in data science, advanced analytics, or machine learning. Strong knowledge of: Python and/or R SQL Statistics and hypothesis testing Machine learning methods Data wrangling and feature engineering Experience working with cloud or enterprise analytics platforms. Ability to communicate technical results to non-technical stakeholders. Experience working with cross-functional teams in a regulated or enterprise environment. Preferred Qualifications Master's or PhD in a quantitative field. Experience with Databricks, Spark, or large-scale distributed data platforms. Experience in healthcare, payer, claims, member, provider, or clinical analytics. Familiarity with MLOps, model governance, and production model deployment. Experience with BI and visualization tools such as Power BI or Tableau. Understanding of data architecture, cataloging, and enterprise data standards. Technical Skills Programming: Python, R, SQL Data Platforms: Databricks, Spark, cloud data platforms Modeling: regression, classification, clustering, time series, NLP, experimentation Visualization: dashboards, storytelling, exploratory analysis Data Management: data dictionaries, data models, schema awareness, governed datasets

Job Description Senior Machine Learning Engineer (ML Modeling, NLP, Python) 18 Months Contract Onsite 4 days/week in Seattle WA or Santa Monica CA Summary As a Senior Machine Learning contractor on the segmentation data science team, you will develop machine learning solutions for content classification and segmentation. You will work with large-scale content metadata and related data to develop features, train and evaluate classifiers, and build scalable workflows that generate segments for downstream applications. This is a highly hands-on role requiring strong applied machine learning expertise, proficiency in Python and modern data science tools, and the ability to independently take solutions from data exploration and feature development through model evaluation and implementation. Responsibilities Design, develop, evaluate, and implement machine learning classifiers for content classification and segmentation use cases. Explore, analyze, and prepare content datasets using Python, pandas, SQL, Spark, and related data science tools. Develop features from structured and semi-structured metadata, including categorical, numerical, text-derived, and aggregated features. Build robust feature-processing workflows, including missing-value handling, categorical encoding, scaling, normalization, feature selection, and other appropriate transformations. Develop multi-class and multi-label classification models using appropriate supervised machine learning techniques, and train, tune, and compare models using cross- validation, and hyperparameter optimization, Partner with data scientists, engineers, and content stakeholders to translate requirements into practical machine learning solutions. Apply strong software development practices, including modular code, version control, testing, logging, code review, and documentation. Basic Qualifications 5+ years of industry experience building and deploying machine learning models in production environments. Strong proficiency in Python, with hands-on experience using pandas and scikit-learn for data preparation and machine learning. Strong understanding of supervised machine learning and classification techniques, including linear models, decision trees, random forests, ensemble methods, and gradient-boosted models. Strong experience with feature engineering, feature preprocessing, and feature selection for structured and semi-structured datasets. Experience developing multi-class and/or multi-label classification models. Strong SQL skills and experience querying, joining, aggregating, and analyzing large datasets. Ability to independently move from exploratory data analysis and feature development through model training, evaluation, and implementation. Strong analytical and problem-solving skills, with the ability to make pragmatic modeling decisions based on data, project requirements, and delivery constraints. Strong written and verbal communication skills, with the ability to clearly explain technical approaches and results to technical and non-technical stakeholders. Ability to operate effectively in a fast-paced environment, ramp up quickly on existing data and code, and independently deliver within a project-based contract engagement. Preferred Qualifications Experience developing classifiers from metadata, catalog data, or other high- dimensional structured and semi-structured datasets. Experience incorporating text-based features using techniques such as TF-IDF, text embeddings, or other semantic representations. Experience working with media, entertainment, streaming, search, recommendation, or other digital content domains. Familiarity with workflow orchestration tools such as Luigi, Airflow, or similar frameworks. Experience with cloud-based data and compute environments, particularly AWS. Education Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience; Master's degree preferred The estimated pay range for this position is USD $90.00/hr - USD $102.00/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

Job Description Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4-6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics. Design and execute advanced statistical analyses to identify business trends, risks, and opportunities. Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets. Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization. Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues. Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development Design and implement end-to-end machine learning pipelines from data ingestion to deployment. Perform feature engineering, feature selection, and data transformation to improve model performance. Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies. Optimize machine learning algorithms for scalability, accuracy, and interpretability. Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration Partner with data engineering teams to build scalable data pipelines and analytical data models. Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms. Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics. Present analytical findings, model results, and recommendations to both technical and non-technical audiences. Translate complex data science concepts into business-friendly insights and actionable recommendations. Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools. Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field. 5+ years of applied machine learning, data science, or AI experience in a professional setting. Demonstrated experience owning projects or major workstreams from initial problem definition through delivery. Excellent programming skills in Python to include strong overall OOP experience. Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks. Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider. Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI. Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining. Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar. Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services. Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous. Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams. Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders. High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: Hands-on experience with the C3 AI platform . Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role. Experience delivering AI solutions for large enterprises or Fortune 500 clients. Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries. Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization. Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description The Company KGHM International Ltd., headquartered in Vaughan, Ontario, is the Canadian subsidiary of KGHM Polska Miedź S.A., one of the world's largest producers of copper and silver. KGHM International has operations across North America and engages in exploration and development projects to expand its resource base, reinforcing its role as a global leader in mining and metallurgy. With a strong commitment to sustainability and community engagement, KGHM International, integrates environmental stewardship with advanced mining technologies and collaborates closely with Indigenous communities through impact and benefit agreements. These partnerships ensure respect for Indigenous rights and cultural heritage while promoting shared economic benefits. Through investments in infrastructure, exploration, and social responsibility programs, KGHM International continues to strengthen its role as a responsible mining leader committed to innovation, efficiency, and long-term value creation. Our culture is underpinned by our values - zero harm, teamwork, results-driven, accountability, and courage. These values are deeply rooted convictions which guide our day-to-day behaviours and form the organisation's DNA. The Opportunity The Data Scientist, Mine-to-Mill Optimization develops, tests and improves the predictive, prescriptive and machine learning (ML) models that support ore tracking, blending decisions, plant recommendations and impact measurement. Reporting to the Senior Manager, Risk & Compliance, this full-time position is responsible for preparing analytical datasets, performing exploratory analysis, building and validating ML models, supporting optimization models, and providing clear analytical documentation. This position plays a key role in ensuring analytical models remain accurate, scalable, and responsive to changing ore characteristics and operating conditions. The position is based at our Robinson Mine in Ely, Nevada, We offer a hybrid work arrangement that provides flexibility to work from home, with an expectation of regular on-site collaboration, particularly during the initial stages of the role. Responsibilities Prepare analytical datasets and perform exploratory analysis of geological, fleet, stockpile, laboratory and plant-process data. Build and validate ML models for throughput, recovery, quality and other agreed operational outcomes. Develop feature-engineering logic, segmentation, anomaly treatment and model explanations. Support optimization models and what-if scenarios using operational constraints and site priorities. Run offline tests, passive tests and controlled production trials with operations and metallurgy. Monitor model accuracy, recommendation acceptance, realized impact and changing process conditions. Investigate performance deterioration and implement approved model improvements. Create clear analytical documentation and train KGHMI users and technical support staff. Other duties as assigned. Qualifications Degree in data science, engineering, statistics, applied mathematics, computer science or a related field. 7+ years experience working in a similar Data Scientist role Hands-on Python and SQL experience, including supervised learning, time-series analysis and model evaluation. Experience with industrial process data, sensor data, optimization or operational decision-support systems is preferred. Understanding of data leakage, bias, confidence intervals, baselines and causal or quasi-experimental impact measurement. Ability to work directly with engineers, metallurgists and operators and convert domain knowledge into model features and constraints. Practical experience using source control, reproducible pipelines and model-tracking tools. Previous experience working in the Mining industry required. At KGHM International, we value diverse perspectives and experiences. If you're excited about this role but don't meet every listed requirement, we encourage you to apply. Skills can be developed, and we believe in supporting growth and potential. Your unique background could be exactly what we need. What we offer We believe that rewarding our employees goes beyond base pay. Our Total Rewards Program is designed to recognize your contributions, support your well-being, and help you grow professionally and personally. This holistic approach supports your financial security, health, and career aspirations. We offer a competitive and well-rounded total rewards package that includes market-aligned compensation with performance-based incentives, comprehensive health and insurance benefits, and RRSP matching. Employees benefit from time off programs, flexible work arrangements, and a casual, convenient work environment. We also invest in professional growth through training, tuition support, and global mobility opportunities. Above all, we foster a respectful and collaborative workplace grounded in safety, integrity, and sustainability, supported by a strong, positive culture that values teamwork and connection. Compensation for this position is determined by experience and alignment with role requirements and typically ranges from $140,000 to $170,000. This role is also eligible for performance-based incentive awards. How to Apply Submit your resume and cover letter to . All applications are reviewed by the Human Resources team and no AI or automated tools are used to screen, assess, or select applicants. Application deadline: open until filled Inclusion, Accessibility & Accommodations If you require accommodations during the recruitment or selection process, please let us know. We are happy to provide support. Contact us at for assistance. We are committed to building a diverse workforce and fostering an inclusive, people-first culture where everyone feels valued and respected. As an equal opportunity employer, we do not discriminate on any protected basis under applicable law.

Job Description TL;DR: Seeking elite software engineers, $150K to $250K+ plus equity, full time in office, Vienna, VA. Well-funded, growing company with founders who have multiple prior exits. U.S. citizens and permanent residents only. You can also see many of our open roles at This role is open to U.S. citizens and Lawful Permanent Residents (LPR/"Green Card"). No security clearance is required. Please DO NOT apply if you require visa sponsorship or are outside the U.S., as we have no ability to sponsor visas. _ For this role (multiple vacancies): We are seeking elite (top 5%) software engineers with 3+, preferably 5+ years in software engineering for a deeply technical, fast-growing, well-funded company in Vienna, VA. The founding team has started and sold two prior companies, the last one to a top tech company, and has recently raised a very large funding round. They are building automated methods to test and verify large, complex software systems, which requires very strong experience in algorithms, the guts of kernels, databases, distributed systems, etc. The team is about 50 engineers and scientists, and the hiring bar is high. The founders told us that, "We like working on impossible problems because when you solve them, you make a lot of money," and they have a track record of doing this. Open engineering roles include: Software Engineers (3+, preferably 5+ years) Senior Backend Engineer Senior Software Engineer, Full Stack Senior Systems Engineer, Database Applied AI Software Engineer Salary range is $150K to $250K, depending on the equity mix (above $200K should have 10+ years of solid experience and a strong technical interview). Great benefits. More details will be provided to qualified candidates. The engineers we are seeking already know lots of languages and are comfortable with many different technologies/stacks, but here are some examples of what the company is using in different areas: Front-end (TypeScript/JavaScript/HTML) Back-end & Systems (Rust/TypeScript/Linux Kernel/Networking/Distributed Systems) Embedded (C/C++/x86/VMX/VMM) (software NOT hardware focused) Build & Infrastructure (Nix/NixOS/Terraform/Lambda) Security (Rust/mTLS/eBPF/PKI/SOC2) With rare exceptions, we are only considering candidates with a computer science degree (undergrad or master's) because, in our experience, this background is needed for success in the technical interviews. The interview process typically involves a phone screen, a technical coding interview (can be virtual), and several on-site interviews. Often part of the on-site is a technical presentation on a problem you have solved or something you have built, and the discussion goes from there. We ARE looking for ANY/ALL of: Nix! Solving hard technical problems (any flavor) Prior experience delivering products Experience working/scaling a strong team We are NOT looking for: PowerBI/dashboards .NET Mobile apps Recent college graduates Remote-only candidates Non-US citizens/LPRs (NO visa sponsorship) We have several companies seeking similar skill sets in Northern Virginia. If this company is not a fit, we will consider you for our other open roles as well. _ About us: Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series C startups working on AI, cybersecurity, and various novel software and hardware technologies. We also work with government contractors, and we help leading venture capital firms find talent for their portfolio companies. Most of our jobs are in VA, DC, and MD. All of our positions are highly competitive our clients are generally looking for the top 5% of technical candidates. You can see what clients and candidates say about us here: