Machine Learning Operations Engineer
Tasks
- Automate model retraining maintenance and monitoring
- Build ML systems and pipelines
- Build and deploy machine learning platforms
- Create and manage feature stores
- Create and manage model registries
- Develop machine learning engineering frameworks
- Ensure reliability, scalability, and performance
- Implement model monitoring and data pipelines
- Implement responsible AI governance testing and automation
- Monitor data and model performance in production
- Operationalize and optimize machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | Bash | Continuous Delivery | Continuous integration | Data Engineering | Data Manipulation | Data Pipelines | Data Visualization | Databricks | DevOps | Docker | Feature Store | Git | Hadoop | Hive | In-memory datastores | In-memory) | Java | Kubernetes | Linux | MLOps | Machine Learning | Model Monitoring | Model Registry | NoSQL | Python | R | Responsible AI | SQL | Scala | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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