ML Pipeline Engineer (m/f)
Tasks
- Automate data processing for training validation testing and experimentation
- Build ML training and validation pipelines
- Collaborate with data scientists to productionize workflows
- Develop Python automation scripts
- Implement CI CD for model training and release
- Maintain ML deployment workflows
- Maintain pipeline and deployment documentation
- Optimize pipelines for local and AWS
- Troubleshoot pipeline failures and data quality issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CodePipeline | CI/CD | CloudWatch | Dataset versioning | Docker | EC2 | Experiment tracking | GitHub Actions | GitLab CI | IAM | Jenkins | Lambda | Langchain | Linux | Model Evaluation | NumPy | Pandas | PyTorch | Python | S3 | Scikit-learn | Shell Scripting
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science
Roles
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