About The Role

Join our team as a Senior Software Engineer (ML Systems) in the regulated healthcare industry. You will design, build, deploy, monitor, and optimize production-ready ML services. Your responsibilities will include packaging, testing, orchestrating, deploying, and maintaining ML models, improving workflows, and implementing CI/CD and automated testing. You will also own the full lifecycle delivery of complex features, define and enforce robust verification and validation for AI services, and collaborate cross-functionally to ensure continuity in critical systems.

Design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare.
Package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing.
Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability.
Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams
7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)
Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows
Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders

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