Staff Machine Learning Operations Engineer
Tasks
- Automate end-to-end ML pipelines
- Build scalable MLOps infrastructure for production ML models
- Design and maintain CI CD pipelines for model delivery
- Develop data ingestion preprocessing feature engineering training evaluation deployment pipelines
- Implement monitoring logging and alerting for model performance
- Optimize cloud infrastructure for scalability reliability and cost
- Provide technical leadership mentor engineers and drive MLOps best practices
Perks/Benefits
- Career growth opportunities
- Continuous learning
- Flexible working hours
- Fully remote
- Home office setup support
- Self-managed PTO
Skills/Tech-stack
AWS | Apache Airflow | Azure | CI/CD | Data Engineering | Docker | GCP | Infrastructure as Code | Java | Kubernetes | LLM | Langchain | Machine Learning | Python | Scala | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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