Databricks ML Engineer
Tasks
- Architect secure scalable cost efficient ML platform
- Collaborate with data scientists and engineers to move experiments to production
- Design and implement end to end MLOps frameworks
- Develop and automate ML model workflows
- Implement standardized model lifecycle management
- Keep up with Databricks MLOps and Azure updates
- Monitor ML models and maintain production readiness
- Operate experiment tracking and model registry workflows
- Support model deployment and testing
Perks/Benefits
- Flexible working hours
- Modern office
- Multisport card
- Private medical care
- Unlimited access to Microsoft technology
- Unlimited access to Snowflake technology
- Work from anywhere
Skills/Tech-stack
A/B | A/B Testing | AI Search | Azure | Azure AI | Azure AI Search | Azure OpenAI | B testing | CI/CD | Databricks | Declarative Automation Bundles | Declarative automation | Document Intelligence | Experiment tracking | Feature Store | LLMOps | MLOps | MLflow | Model Registry | PySpark | Python | RAG | Spark | Terraform | Unity Catalog | Vector Databases
Education
N/A
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