Machine Learning Engineer / AI Engineer IRC303970

About the role

Agentic systems experience with at least one orchestration framework (LangGraph, PydanticAI, OpenAI Agents SDK, or similar) and MCP tool integration Model training/evaluation experience with reproducible pipelines and experiment tracking Cloud deployment and operations on Azure and/or AWS (security/IAM, scaling, cost awareness)

What you'll do

• Ship production GenAI/ML features for supply chain risk management
• Design and ship agentic systems: tool-using and multi-agent workflows with human review
• Build the retrieval and LLM layer underneath optimized for latency and cost
• Own evaluation and rollout (LLM-as-judge, evals, A/B testing, model versioning)
• Operate AI in production (monitoring, quality metrics, drift detection)

What you need

• 5–10 years in data science & ai
• Machine learning
• LLMs
• SQL
• Python
• AWS
• MLOps
• Any graduate

Good to have

• Snowflake
• Databricks
• Azure
• CI/CD
• IAM
• FastAPI