Position: Machine Learning Engineer / Lead
Work Location: Nagpur
Experience: 8 to 12 Years
Key Responsibilities
Design and automate end-to-end ML pipelines (CI/CD, CT) for training, evaluation, and deployment.
Productionize ML models into clean, modular, and maintainable codebases.
Implement versioning and governance practices for data, code, and models.
Monitor model performance, data drift, and system reliability.
Collaborate with cross-functional teams to deliver scalable ML solutions.
Must-Have Skills
Minimum 8+ years of experience in ML Engineering or MLOps.
Robust proficiency in Python and SQL.
Experience with Apache Spark or similar frameworks for large-scale data processing.
Hands-on experience with CI/CD tools (e.g., Azure Dev Ops).
Familiarity with MLOps frameworks, model registries, and experiment tracking.
Proficient in Git for version control.
Nice-to-Have Skills
Experience with Docker, Kubernetes, and ML monitoring tools.
Solid understanding of ML algorithms (e.g., regression, classification, clustering).
Familiarity with libraries such as scikit-learn and pandas.
Ability to translate business requirements into technical solutions.