Senior Machine Learning Engineer
Tasks
- Collaborate with data scientists and engineers
- Deploy and monitor ML models
- Design ML architectures and infrastructure
- Develop ML pipelines and model training
- Ensure high availability, performance, and security
- Evaluate model performance
- Explore and adopt new ML tools frameworks
- Identify ML system challenges and implement improvements
- Implement MLOps and CI/CD for ML
- Mentor engineers and facilitate technical discussions
- Translate business needs into ML systems
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Artificial Intelligence | Azure | CI/CD | Cloud platform | Databricks | Distributed Systems | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | PyTorch | Python | Scikit-learn | Shell | TensorFlow | Web Services | “as-code”
Education
N/A
Regions
Countries
States
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