Senior MLOps Engineer - Analytics & AI
Tasks
- Build automation tools
- Build model training pipelines
- Collaborate for high availability and disaster recovery
- Design ML Platforms
- Develop and deploy ML services
- Ensure platform availability and performance
- Identify and resolve platform issues
- Implement security in SDLC
- Integrate AI tools and technologies
- Monitor ML training and serving
Perks/Benefits
- Collaborative workspaces
- Commuter support
- Employee assistance programs
- Employee resource groups
- Flexible work arrangements
- Tuition assistance
Skills/Tech-stack
AI Foundry | AWS | AWS DynamoDB | Amazon Bedrock | Azure | Azure AI | Azure AI Foundry | Chef | Cloud Security | CloudWatch | GCP | Grafana | Grafana Loki | Istio | Jenkins | Kubeflow | Kubernetes | Linux | Microservices | MySQL | PostgreSQL | Prometheus | Puppet | Python | Redis | Service Mesh | Snowflake | Spark | Terraform
Education
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
Regions
Countries
States
Cities
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