Machine Learning Engineer Mid
Tasks
- Apply metrics and continuous testing
- Automate training and deployment
- Build scalable reproducible training and deployment pipelines
- Collaborate with cross-functional teams to translate requirements into technical solutions
- Design machine learning models for business problems
- Evaluate monitor and improve model performance in production
- Perform feature engineering
- Preprocess analyze large data sets
Perks/Benefits
Skills/Tech-stack
AWS | Data Pipelines | Docker | Feature Engineering | Google Cloud | Kubernetes | MLOps | Machine Learning | Microsoft Azure | Model Evaluation | Model Monitoring | PyTorch | Python | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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