Senior Machine Learning Software Engineer

We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Requirements

• 7+ years of experience in software engineering for ML production or ML platform delivery
• Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference
• Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows
• Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility
• Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines
• 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
• Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams

Benefits

• 15% target annual bonus
• Stock options
• Paid benefits
• Employee perks