Full-Stack Software Engineer: ML Focus
Boston Bioprocess5+ yrsRemoteDirect career pageEst. 12–25 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and own production ML-powered backend services, REST APIs, ETL pipelines, and dashboards used by clients and scientists.
- Manage MLOps including deployment, model retraining workflows, versioning, CI/CD, observability, and drift monitoring for scalable ML systems.
- Collaborate cross-functionally with data scientists and wet-lab scientists to translate scientific requirements into production-ready software solutions.
Minimum Requirements
- Master’s degree in Computer Science, Engineering, or related field with 2+ years experience OR Bachelor’s from Tier 1 Indian University with 5+ years experience.
- Proven expertise building complex, responsive frontend web apps using React.js, Next.js, or Svelte.
- Strong backend Python experience using FastAPI, Django, or similar frameworks.
- Experience deploying and maintaining ML models and backend services on cloud platforms like AWS with DevOps/CI-CD skills.
Ideal Candidate Profile
- Experienced software engineer comfortable bridging early-stage ML models to robust, maintainable production systems with modular architecture and rigorous testing.
- Proficient across full-stack with strong domain knowledge of ML model serving, MLOps, and scalable cloud deployment.
- Effective collaborator working well in agile, small teams interfacing between scientific research and engineering to deliver dependable AI-driven platforms.