Sr. MLOps Engineer
Tasks
- Benchmark ML models
- Build ML architecture and pipelines
- Collaborate on engineering roadmaps
- Collaborate with data scientists to optimize models
- Define development best practices
- Deploy ML models to production
- Develop ML pipelines
- Develop technical documentation
- Evaluate new platforms and technologies
- Lead ML engineering projects
- Maintain ML infrastructure
- Mentor junior engineers
- Scale and monitor model services
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | C++ | Data Processing | Docker | Generative Models | Java | Kubeflow | Kubernetes | LLM | MLOps | MLflow | Machine Learning | Microservices | Model Deployment | Model Training | PyTorch | Python | Scikit-learn | TensorFlow
Education
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