We are seeking a skilled MLOps Platform Engineer to build and maintain a robust platform for the entire Machine Learning (ML) lifecycle
Job Summary
We are seeking a skilled MLOps Platform Engineer to build and maintain a robust platform for the entire Machine Learning (ML) lifecycle.
This role involves automating ML model training, testing, deployment, and monitoring, integrating seamlessly with our existing infrastructure to accelerate ML innovation.
Promote and implement best practices for reproducibility, version control, and governance across the ML lifecycle.
Matching Summary
We are seeking a skilled MLOps Platform Engineer to build and maintain a robust platform for the entire Machine Learning (ML) lifecycle.
Skills & Requirements
Must-have
MLOps platform for ML lifecycle
CI/CD for ML model code
Automated ML training pipelines
Model monitoring tools and dashboards
Python and ML frameworks proficiency
CI/CD tools and workflow orchestrators
Nice-to-have
Passion and customer focus
Enthusiastic over-achievers
Wild growth environment
Key Requirements
+5 years experience
Strong experience MLOps, DevOps, or ML Engineering
Strong proficiency in Python
Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions)