Senior Platform Engineer with MLOps and Databricks

7+ years of professional experience in software engineering and infrastructure engineering.

Extensive experience building and maintaining AI/ML infrastructure in production, including model, deployment, and lifecycle management.

Strong knowledge of AWS and infrastructure-as-code frameworks, ideally with CDK.

Expert-level coding skills in TypeScript and Python building robust APIs and backend services.

Production-level experience with Databricks MLFlow, including model registration, versioning, asset bundles, and model serving workflows.

Expert level understanding of containerization (Docker), and hands on experience with CI/CD pipelines, orchestration tools (e.g., ECS) is a plus.

Proven ability to design reliable, secure, and scalable infrastructure for both real-time and batch ML workloads.

Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members.

Strong collaboration skills and the ability to partner effectively with cross-functional teams.

Nice to have:

Familiarity with emerging LLM frameworks such as DSPy for advanced prompt orchestration and programmatic LLM pipelines.

Understanding of LLM cost monitoring, latency optimization, and usage analytics in production environments.

Knowledge of vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG.