Machine Learning Engineer
Core
Designing and automating end-to-end ML pipelines for training, evaluation, and deployment of production models.
Role type
Senior Machine Learning Engineer / Lead
Builds
Production ML models and scalable ML solutions
Domain
Machine Learning Engineering / MLOps
Deliverable
production ML models
Required skills
Python, SQL, Apache Spark, CI/CD tools, MLOps frameworks, Git
Preferred skills
Docker, Kubernetes, ML monitoring tools, scikit-learn, pandas
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.
