Senior MLOps Engineer
Tasks
- Build and operate testing pipelines for models and workflows
- Collaborate on AI deployment and optimization
- Communicate system health and risks
- Design and implement monitoring for ML and AI systems
- Design feedback loops for system improvement
- Ensure governance and compliance standards
- Maintain operational documentation
- Manage ML model lifecycle and versioning
- Mentor junior team members
- Troubleshoot and resolve production AI issues
Perks/Benefits
Skills/Tech-stack
Agile | Airflow | Azure | Data Quality | Databricks | Deep learning | Docker | GenAI | Grafana | Kubernetes | Machine Learning | Model Evaluation | Model Monitoring | Prometheus | Python | RAG | SQL | Terraform
Education
Roles
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