Engineering Manager, AI & ML (Data Collection)
Morningstar, Inc. (company site, opens in a new tab)8+ yrsMumbaiOn-siteDirect career pageEst. 30–50 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and operationalization of a unified AI/ML data collection platform supporting scalable data pipelines, model lifecycle management, and evaluation frameworks.
- Provide technical and team leadership to build production-grade ML systems leveraging LLMs, MLOps tools, and cloud-native architectures.
- Collaborate cross-functionally to align ML platform capabilities with business objectives, drive engineering best practices, and ensure platform reliability and governance.
Minimum Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Data Science, or related field.
- 8+ years in software engineering focused on ML systems, ML platforms, or distributed systems.
- 3+ years managing engineering teams and leading technical initiatives.
- Hands-on experience with MLOps tools, pipeline orchestration (e.g., Airflow, Kafka), Python/SQL programming, cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), and production LLM-based systems.
Ideal Candidate Profile
- Experienced engineering manager with deep expertise in building and scaling production ML platforms, especially involving LLM and AI-driven data workflows.
- Technical leader capable of solving complex system-level challenges and delivering scalable, reliable solutions in data-driven environments.
- Proficient collaborator who can work across global teams and partner closely with product, data engineering, and research to align technology with business goals.