Databricks ML Engineer
Tasks
- Architect secure scalable cost efficient ML platform
- Automate CI CD pipelines with Databricks and Azure
- Build model development deployment and monitoring workflows
- Collaborate with Data Scientists, ML Engineers, and Data Engineers
- Design and implement end to end MLOps frameworks on Azure Databricks
- Implement experiment tracking and model registry
- Monitor and maintain ML pipelines and models
Perks/Benefits
- Flexible working hours
- Modern office workspace
- Multisport card
- Private medical care
- Unlimited access to Microsoft and 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 | Continuous Delivery | Continuous integration | Databricks | 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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