Lead ML Operations Engineer
Signify N.V. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain scalable machine learning infrastructure to support efficient model deployment and robust data pipelines.
- Monitor and optimize ML models in production to ensure high performance and reliability.
- Collaborate across teams to implement automated CI/CD processes, resolve workflow issues, and uphold security and compliance standards.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- Experience with MLOps platforms such as AWS SageMaker, Dataiku, or DataRobot and cloud platforms like AWS or Azure.
- Proficient in programming languages including Python, Java, and SQL.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing and operating scalable ML infrastructure with strong understanding of ML, data mining, and statistical modeling applied to real-world problems.
- Skilled in utilizing big data technologies such as Hadoop, Spark, and NoSQL databases.
- Able to collaborate effectively with cross-functional teams and communicate technical findings clearly to senior leadership.