Senior Machine Learning Engineer
Morningstar, Inc. (company site, opens in a new tab)5+ yrsMumbaiOn-siteDirect career pageEst. 25–45 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and develop the Unified AI/ML Data Collection Platform, including data ingestion, feature management, model training, evaluation, and scalable inference systems.
- Design, deploy and optimize production ML and LLM models with lifecycle management, observability, and cost-efficient operations.
- Integrate LLM-based workflows such as RAG systems, prompt orchestration, and agentic frameworks connecting AI models to internal tools and data sources.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related technical field.
- 5+ years of experience in machine learning engineering or data science focused on ML systems, platforms, or distributed systems.
- Hands-on experience with ML production deployment, MLOps tools (CI/CD, model monitoring, experiment tracking), and cloud/container tech (AWS/GCP/Azure, Docker, Kubernetes).
- Work location: Vashi, Navi Mumbai with hybrid model (4 days office, specific work hours mentioned).
Ideal Candidate Profile
- Senior engineer with deep expertise in ML platforms, LLM production systems, and MLOps practices.
- Experience working in multidisciplinary, fast-paced, data-driven environments with multiple stakeholders including product managers, researchers, and business teams.
- Strategic focus on scalable system design, operational excellence, and continuous improvement of AI-driven data collection workflows.