Senior Platform Engineer with MLOps and Databricks
Tasks
- Build scalable data pipelines for ML and analytics
- Collaborate to improve AI model performance reliability and cost efficiency
- Design cloud native platform for AI and data workloads
- Develop Infrastructure as Code deployments
- Implement monitoring, alerting, and logging
- Integrate AI and LLM models into production systems
- Use retrieval augmented generation architectures
Perks/Benefits
- Career growth development opportunities
- Fitness offerings
- Flexible work hours
- Generous time off
- Mental Health plans
- Remote-first work environment
- Wellbeing programs
Skills/Tech-stack
AWS | AWS CDK | Alerting | Amazon Bedrock | CI/CD | CloudFormation | Databricks | Docker | ECS | Infrastructure as Code | LLM | Logging | MLflow | Model Serving | Monitoring | Observability | OpenSearch | Python | Retrieval-Augmented Generation | TypeScript | Vector Database | Vector embeddings | “as-code”
Education
N/A
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