Senior Machine Learning Engineer
Tasks
- Architect and build unified ML platform
- Build and maintain CI/CD pipelines
- Deploy and monitor ML models
- Design monitoring and alerting systems
- Design scalable ML pipelines
- Ensure security and compliance for ML pipelines
- Identify and resolve production issues
- Implement model training monitoring and retraining
- Lead ML system design and architecture decisions
- Manage and optimize AWS infrastructure for ML
- Mentor junior engineers
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CloudFormation | AWS Glue | AWS IAM | AWS Lambda | Amazon EC2 | Amazon ECS | Amazon S3 | Amazon SageMaker | Apache Kafka | CI/CD | DBT | Datadog | Docker | GitHub Actions | Grafana | Kubernetes | MLOps | Machine Learning | Prometheus | PyTorch | Python | REST API | SQL | Scikit-learn | Snowflake | TensorFlow | Terraform
Education
N/A
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