Machine Learning Operations Engineer
Tasks
- Automate model deployment to production
- Build ML experimentation platforms
- Build and maintain data ingestion pipelines
- Build and maintain data preprocessing pipelines
- Build and maintain labeling workflows
- Centralize datasets and labels
- Design MLOps best practices
- Enable hyperparameter tuning workflows
- Evaluate and integrate ML tools
- Manage ML annotations and metadata
- Optimize ML development workflows
- Support ML training workflows
Perks/Benefits
- Collaborative work culture
- Dental insurance
- Health insurance
- Professional development opportunities
- Vision insurance
Skills/Tech-stack
AWS | Amazon SageMaker | Argo Workflows | BigQuery | CI/CD | Container Orchestration | DVC | Data Management | Data Versioning | Data labeling | DevOps | Experiment tracking | Go | Kubernetes | LakeFS | ML pipelines | MLflow | Metadata Management | PyTorch | Python | Scikit-learn | Semantic Search | Snowflake | TensorFlow | Vector Database | Weights and Biases
Education
N/A
Regions
Countries
States
Cities
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