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Morningstar
Machine Learning Engineer | Mumbai, IN
Morningstar
Mumbai•Hybrid•3-6 Yrs•1 hour ago
Job description
Hybrid
Overview
Machine Learning Engineer
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related technical field.
- 3+ years of experience in machine learning engineering, data science, software engineering, ML platforms, or distributed systems.
- Hands-on experience with MLOps tools and practices, including CI/CD, model monitoring, experiment tracking, automated testing, or deployment automation.
- Strong programming skills in Python and SQL, or similar languages.
- Understanding of distributed systems, scalability, data pipelines, and system design trade-offs.
- Ability to solve technical challenges and deliver reliable, maintainable, and scalable solutions.
- Strong communication and collaboration skills, with experience working across product, engineering, data, or business teams.
- Working Conditions
- The job conditions for this position are in a standard office setting. Employees in this position use PC and phones on an ongoing basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
- Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
- I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity