Description

• 4+ years of experience in AI/ML engineering, applied data science, or related roles.
• Strong proficiency in Python and SQL.
• Solid foundation in machine learning (classification, anomaly detection, model evaluation).
• Hands-on experience with AI systems,
• Experience building and deploying APIs/services (FastAPI or similar).
• Familiarity with containerization (Docker) and CI/CD.
• Experience working in cloud environments (Azure)
• Strong communication skills and comfort working in product-facing and enablement roles.
• Experience building internal platforms, shared services, or enablement frameworks.
• Exposure to M365 Copilot extensibility or enterprise productivity tooling.
• Familiarity with ML/LLMOps tools (model registries, experiment tracking, prompt/version management).
• Knowledge of Responsible AI, governance, and enterprise data privacy practices.
• Experience in regulated industries (insurance, auto warranty, financial services)

Key Skills

Education

Bachelor's degree