MLOps Engineer - Machine Learning Platform
USD 130K-219K (estimate) Mid-level Full Time
Tasks
- Build and optimize model deployments for customer needs
- Build deployment and monitoring pipelines for machine learning models
- Develop production ready code with CI CD
- Diagnose and resolve production issues in inference services
- Enable reliable scalable observable machine learning and LLM serving
- Improve platform architecture and take ownership of components
- Maintain engineering and customer documentation
- Support production on call incident resolution
Perks/Benefits
Skills/Tech-stack
APIs | AWS | CI/CD | CloudFormation | Container Orchestration | Debugging | Development Lifecycle | Distributed Systems | Docker | GCP | IAM | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Logging | Machine Learning | Metrics | Model Development | Model Development Lifecycle | Model Serving | NVIDIA Triton | NoSQL | Observability | PyTorch | Python | REST | SQL | TensorFlow | TensorRT | Terraform | Testing | Tracing | Unix | VLLM | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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