Mission: We are seeking an expert to design and automate end-to-end ML pipelines (CI/CD, CT) and productionize modular ML codebases.
Key Responsibilities:
Design automated CI/CD and CT pipelines for training, evaluation, and deployment.
Implement versioning and governance for data, code, and models.
Monitor model performance, data drift, and system reliability.
Must-Have Skills:
Minimum 6 years of experience in ML Engineering or MLOps.
Strong proficiency in Python and SQL.
Hands-on experience with Apache Spark and CI/CD tools (e.g., Azure DevOps).
Proficiency in Git and MLOps frameworks.
Nice-to-Have: Docker, Kubernetes, and libraries like scikit-learn and pandas.
