Software Engineer 2 (MLOps)
Tasks
- Build machine learning pipelines
- Collaborate with cross-functional stakeholders
- Deploy models for product lines
- Design ML model deployment
- Develop APIs
- Enforce version control best practices
- Implement microservices
- Monitor and debug model performance
- Optimize production infrastructure
- Orchestrate workflows
- Perform code reviews
- Track experiments with MLflow
- Write tests and documentation
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | Amazon SageMaker | Apache Airflow | Apache Iceberg | Athena | CI/CD | DynamoDB | Experiment tracking | Feature Engineering | Git | Java | Kotlin | MLOps | MLflow | Microservices | Model Evaluation | Model Monitoring | Model Training | PySpark | PyTorch | Python | Scikit-learn | TensorFlow | Test-Driven | Test-Driven Development
Education
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