ML Ops Engineer
Tasks
- Build and operationalize machine learning model training pipelines
- Deploy monitor and govern machine learning models
- Design train deploy and maintain ML platform workflows
- Implement ML data ingestion pipelines
- Implement cost optimization strategies for ML infrastructure
- Improve workflow efficiency by removing bottlenecks
- Maintain reproducibility observability and continuous improvement
- Perform design reviews code reviews and technical documentation updates
Perks/Benefits
Skills/Tech-stack
AWS | Cloud infrastructure | Cost Optimization | Data Ingestion | GCP | Linux | MLOps | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Python | Training Pipeline
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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