MLOps Engineer Analyst
Tasks
- Build and maintain AI/ML APIs
- Collaborate with CTOs
- Collaborate with data scientists
- Collaborate with product owners
- Deploy machine learning models with Kubernetes
- Implement AI models using Python
- Implement CI/CD pipelines with GitHub Actions
- Maintain code quality
- Maintain orchestration workflows with Airflow
- Maintain orchestration workloads with Control M
- Monitor production machine learning applications
- Perform ETL with Python and Spark
- Run unit testing with Pytest
Perks/Benefits
- Childcare support
- Discounts and offers
- Flexible hours
- Gym membership
- Hybrid working model
- Learning resources
- Meal subsidy
- Parking
- Shuttle service
- Wellness program
Skills/Tech-stack
API | Airflow | CI/CD | Control-M | ETL | Fortify | Git | GitHub Actions | Kubernetes | Pytest | Python | Sonar | Spark
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Analyst | Engineer | Engineer, Analyst | MLOps Engineer | MLOps Engineer Analyst
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