Lead AI / ML Engineer
McLean, VA, United States
USD 140K-185K (estimate) Senior-level Full Time
Tasks
- Collaborate with cross-functional teams
- Conduct office hours for AI adoption
- Define AI KPIs and measurement
- Define AI enablement roadmap
- Develop training and onboarding content
- Ensure responsible and compliant AI use
- Evaluate and deploy AI tools
- Identify AI use cases
- Integrate AI into CI/CD pipelines
- Support client delivery with AI enabled components
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | AWS Bedrock | Anthropic models | Artificial Intelligence | Automation | Automl | CI/CD | ChatGPT enterprise | Claude | Context engineering | Data Engineering | DevOps | DevSecOps | Einstein GPT | Embedding-based search | Evaluation | Fine Tuning | Generative AI | GitHub Copilot | Human Centered | Human Centered Delivery | Human-Centered Design | LLM Frameworks | LLMOps | Langchain | Llamaindex | MLOps | Machine Learning | Prompt engineering | RAG | Red Teaming | Salesforce | Salesforce Einstein | Salesforce Einstein GPT | Security Governance | Software Engineering | Vertex AI
Education
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