AI / ML Engineer

What you'll do

• Partner with stakeholders to translate business needs into AI/ML use cases and technical solutions; design, fine-tune, and evaluate ML and GenAI models.
• Develop end-to-end ML pipelines and deploy, monitor, and troubleshoot scalable models and agents.
• Collaborate across engineering and product teams while implementing data quality, security, governance, and Responsible AI practices.

What they ask for

• US Citizen (Public Trust Eligible); applicants must have US work authorization that does not now or in the future require visa sponsorship.
• 3–6+ years in machine learning engineering, data science, or AI development.
• 3+ years leading technical teams, including setting technical standards and strategies and supporting compliance.
• Hands-on cloud AI/ML platform experience, strong Python skills and ML framework familiarity, and understanding of LLMs, embeddings, vector search, and generative AI.

Nice to have

• Google Cloud Professional certification (ML Engineer, Data Engineer, or Architect); experience with Vertex AI Search, Agents, RAG solutions, or vector databases.
• Master’s degree; prior federal or regulated-industry experience; Responsible AI knowledge; familiarity with GCP operational tools or AWS/Azure equivalents.

Pay

$103,200 — $196,400 USD base pay

Tools

Python, SQL, TensorFlow, PyTorch, scikit-learn, Vertex AI, Gemini, BigQuery

AI focus

Design, fine-tune, evaluate, and operate ML and GenAI models, including LLMs, RAG, embeddings, and agents; work includes Responsible AI, monitoring, and production deployment.