Description

Job 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

Any Graduate