Sr Machine Learning Engineer
Tasks
- Build Docker images and manage ECR repositories
- Collaborate on platform enhancements and operational reliability
- Create documentation testing strategies and operational procedures
- Deploy monitor and maintain machine learning systems
- Develop and maintain SageMaker training jobs and model endpoints
- Implement GitLab CI CD pipelines for model deployment
- Manage MLflow model registration and promotion
- Orchestrate model training scoring and retraining workflows
- Productionize machine learning models and data pipelines
- Troubleshoot production issues using logs and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AWS IAM | AWS Lambda | AWS SageMaker | AWS Step Functions | Airflow | Amazon Athena | Amazon ECR | Amazon Redshift | Amazon S3 | ArviZ | Bayesian Modeling | Boto3 | CI/CD | CloudFormation | CloudWatch | Datadog | Docker | FastAPI | GitLab | GitLab CI | GitLab CI/CD | Hydra | MLflow | MWAA | Machine Learning | OmegaConf | Pandas | PyTorch | Pymc | Python | SQL | Scikit-learn | Snowflake | Step Functions | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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