Software Engineer II - MLOps
Tasks
- Build and maintain ML pipelines
- Create CI CD pipelines for ML deployments
- Deploy machine learning models in production
- Develop feature engineering workflows
- Document engineering standards and procedures
- Evaluate and integrate MLOps tools
- Implement model training workflows
- Improve scalable cost efficient system architecture
- Monitor model performance in production
- Optimize model deployment reliability
- Orchestrate ML workflows
- Set up model monitoring logging alerting
Perks/Benefits
- Flexible working hours
- Home office equipment support
- Learning and career growth
- Remote-first
- Self-managed PTO
Skills/Tech-stack
Alerting | Apache Airflow | Apache Spark | Automation | CI/CD | Cloud infrastructure | DevOps | Distributed Systems | Feature Engineering | Kafka | Logging | MLOps | Machine Learning | Model Training | Monitoring | Python | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
Roles
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