Senior AI ML Operations Engineer
Tasks
- Automate model retraining and data workflows
- Build optimize CI CD pipelines for model deployment
- Collaborate with data scientists data engineers and software engineers
- Design MLOps platforms and production pipelines
- Establish data code and model versioning and governance
- Evaluate emerging AI and data technologies
- Implement monitoring and observability for model and data metrics
- Implement security privacy and data governance controls
- Manage foundation model deployments fine tuning and RAG architectures
- Optimize GPU CPU utilization and cloud resources for low latency and cost
- Package deploy and manage AI ML services in production
- Provision and manage infrastructure for training and inference
- Troubleshoot platform data and production issues
Perks/Benefits
- Collaboration with cross-functional teams
- Exposure to advanced AI infrastructure
- Inclusive environment
- Innovation and experimentation
- Professional growth
Skills/Tech-stack
AWS | Alerting | Azure | CI/CD | Cost Optimization | Databricks | Docker | GCP | GPU | Infrastructure as Code | Knowledge graphs | Kubernetes | Langchain | Langgraph | MLflow | Monitoring | Mosaic AI | Observability | Python | Retrieval-Augmented Generation | SQL | Serverless | Terraform | Unity Catalog | Vector Databases | Vector Search | “as-code”
Education
N/A
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