Databricks & AI Engineer (all genders)
Tasks
- Analyze and optimize Databricks solutions
- Automate business workflows
- Build AI agents
- Collaborate with security platform and governance teams
- Develop AI and ML models
- Develop AI-enabled solutions
- Document and maintain code
- Ensure code quality and testability
- Implement deployment and versioning standards
- Improve prototypes into reusable solutions
- Integrate data sources and APIs
- Manage incidents in production
- Monitor pipelines and models
- Perform logging and error analysis
Perks/Benefits
Skills/Tech-stack
AI Engineering | APIs | Apache Spark | Automation | CI/CD | Code review | Data Engineering | Data Pipelines | Databricks | Databricks Workflows | Git | LLM | Logging | Machine Learning | Monitoring | Python | RAG | Testing
Education
Roles
AI | AI Engineer | Data Engineer | Databricks Engineer | Engineer
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