Senior ML, MLOps Engineer
Default Location - USA, United States
USD 180K-247K (estimate) Senior-level Full Time
Tasks
- Analyze data and metadata with SQL
- Apply CI CD with Azure DevOps
- Automate deployment and management of ML infrastructure
- Build and maintain Databricks notebooks and jobs
- Build asynchronous agents with Python async
- Collaborate with data scientists and engineers
- Configure and manage Databricks model serving
- Design machine learning solutions on Databricks
- Develop and deploy custom machine learning models
- Implement data and AI use cases on Databricks
- Integrate and deploy MLflow models
- Secure manage API keys
- Write modular, testable Python code
Perks/Benefits
- N/A
Skills/Tech-stack
API Keys | Asynchronous programming | Azure DevOps | Azure Machine Learning | CI/CD | Databricks | Databricks Model Serving | MLflow | Machine Learning | Model Serving | PyTorch | Python | SQL | Scikit-learn | TensorFlow
Education
N/A
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