- Lockheed Martin (Littleton, CO)
- …* Driving the adoption of digital transformation initiatives, including Model \- Based Systems Engineering \(MBSE\), DevSecOps, artificial intelligence \(AI\), ... Join Our Team: Unlock Your Potential as a SE/SEIT Lead C2 Ground is a dynamic and diverse group...our systems, from proposal and requirements through testing and deployment \. This is an exciting opportunity for a seasoned… more
- TEKsystems (San Diego, CA)
- …including: + Model selection (Anthropic, Titan, Llama, Cohere, etc.) + Agent- based architectures + Knowledge bases, grounding, and guardrails + LLM lifecycle and ... AI Enablement / Innovation Lead Location: Rancho Bernardo, CA - Hybrid (approx....Bernardo, CA - Hybrid (approx. 3 days onsite; flexible based on team needs) Engagement: Temp-to-Perm About the Opportunity… more
- Molson Coors Beverage Company (Milwaukee, WI)
- …creating new legacies. **Crafted Highlights** **:** In the role of **WCSC System Governance Lead ** working in **Milwaukee, WI** you will be part of the WCSC team. ... You will lead the governance and administration of the WCSC SharePoint...operational IT liaison, enabling continuous improvement and supporting global deployment of WCSC best practices. This position reports to… more
- Tyto Athene (Reston, VA)
- …**MLOps & Deployment :** + Hands-on experience with Docker, Kubernetes, Helm; model serving frameworks like vLLM or Triton + ML Observability tools + Vector ... **Description** Tyto Athene is searching for a **Cyber Engineering Lead ** to lead our internal cyber AI...fatigue and enabling analysts to focus on critical events. ** Model Lifecycle Management (MLOps):** + Implement robust MLOps practices… more
- JPMorgan Chase (New York, NY)
- … model monitoring, production validation and other activities vital for model development, testing and deployment in a well-managed, controlled environment. ... deploy ML models on a modern MLOps stack. As Lead Machine Learning Engineer on the Recommendation Engine team,...Engine team, you'll build and maintain pipelines for distributed model training on large compute clusters, batch/real-time model… more
- JPMorgan Chase (Plano, TX)
- …AI solutions adding business value and enhance user experiences. As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking - ... of handling enterprise-level workloads. Designs efficient data pipelines for model training and inference, implements MLOps practices for continuous integration… more
- Amgen (Thousand Oaks, CA)
- …full Neural Nexus platform lifecycle, from requirements definition through design, build, test, deployment , and continuous enhancement + Lead use case scoping to ... lives. Our award-winning culture is collaborative, innovative, and science based . If you have a passion for challenges and...transforming your career. **CD&A - Neural Nexus - Platform Lead ** **What you will do** Let's do this. Let's… more
- HCA Healthcare (Nashville, TN)
- …**Introduction** Do you want to join an organization that invests in you as a Lead Data Scientist? At HCA, you come first. HCA Healthcare has committed up to $300 ... a 100% match on 3% to 9% of pay ( based on years of service) + Employee Stock Purchase...make a difference. We are looking for a dedicated Lead Data Scientist like you to be a part… more
- The MITRE Corporation (Honolulu, HI)
- …lead and support multiple lines of effort across USINDOPACOM for model - based systems engineering (MBSE), operational analysis, Simulated Exercises (SIMEX), ... findings to sponsors. Specific responsibilities include: + Applying understanding of model - based architecture and mission engineering best practices to improve… more
- MetLife (New York, NY)
- The Opportunity The Responsible Use of Data and AI Lead -Monitoring will play a pivotal role in ensuring the Responsible Use of Data and AI program delivers on its ... commitment to ethical, compliant, and risk-aware AI deployment . This position is responsible for overseeing the post-...Case Revalidation: Coordinate periodic assessments of AI use cases based on risk level (eg, high risk annually, medium… more