Senior Machine Learning Operations Engineer
Tasks
- Collaborate with data scientists to optimize production model performance
- Design and implement monitoring and alerting for model performance and health
- Develop and automate data pipelines for ingestion preprocessing feature engineering training evaluation and deployment
- Establish and maintain CI CD pipelines for deployment and reproducibility
- Integrate MLOps data engineering and DevOps best practices and emerging technologies
- Lead design and maintenance of machine learning model infrastructure for production
- Optimize system architecture for scalability reliability and cost effectiveness
- Provide technical leadership and mentor junior team members
Perks/Benefits
- Company-provided equipment
- Flexible work hours
- Home office setup fee
- Remote work
- Self-managed PTO
- Work across time zones
- Work-life balance
Skills/Tech-stack
AWS | Alerting | Apache Airflow | Azure | CI/CD | Cloud Storage | Cloud compute | Containerization | Cost Optimization | Data Ingestion | Data Pipelines | Data Preprocessing | Docker | Feature Engineering | GCP | Infrastructure as Code | Java | Kubernetes | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Orchestration | Python | Reliability | Ruby | Scala | Scalability | Terraform | Terragrunt | “as-code”
Education
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