Machine Learning Engineer
Tasks
- Build and integrate machine learning systems
- Build automated tests for machine learning models
- Collaborate to test and deploy models at scale
- Deploy machine learning pipelines to production
- Detect model and data drift
- Develop scalable tools for machine learning workflows
- Document solutions and share knowledge
- Implement distributed deep learning approaches
- Maintain cloud workspaces and optimize compute resources
- Maintain model registry and implement retraining strategies
- Troubleshoot production pipeline issues
Perks/Benefits
- Career progression
- Free parking
- Pension plan
- Professional development opportunities
- Team member discounts
Skills/Tech-stack
CI/CD | Containerization | Data Drift | Data Drift Detection | Databricks | Deep learning | Delta Lake | Docker | Drift Detection | Fine Tuning | Git | Infrastructure as Code | LLM | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Prompt engineering | PyTorch | Python | SQL | Spark | TensorFlow | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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