AI/ML Engineering Lead

Preferred Qualifications

• Master’s or PhD in Data Science, Machine Learning, Statistics, Computer Science, Data Mining, Applied Mathematics, Engineering, or another quantitative discipline.
• Experience with advanced analytics, predictive modeling, machine learning, statistical techniques, and data visualization.
• Advanced proficiency with Python/R, Spark, SQL, MLOps, GenAIOps, and agentic AI workflows.
• Experience designing and operating production Generative AI solutions utilizing RAG, embeddings, vector and semantic search, tool calling, orchestration, structured outputs, and AI evaluation frameworks.
• Experience with Snowflake Cortex, Microsoft Foundry, Azure ML, Azure AI Search, OpenAI Agents SDK, Claude Agents SDK, Databricks, or comparable AI/ML platforms.
• Experience with Snowflake, Microsoft Fabric, dbt, Azure DevOps, or comparable enterprise platforms.
• Experience with MLflow or comparable experiment tracking and model registry capabilities, containerization technologies such as Docker/Kubernetes, and infrastructure-as-code practices.
• Knowledge of enterprise identity and access management, privacy, data governance, model risk management, security, and Responsible AI controls.
• Experience operating production AI/ML solutions with model observability, service-level monitoring, cost controls, incident management, usage telemetry, and continuous performance improvement.