MLOps Engineer(NJ)
USD 150K-200K (estimate) Senior-level Full Time
Tasks
- Build training and scoring pipelines
- Collaborate with data engineers and data scientists
- Create testing framework with Pytest
- Deploy and monitor machine learning models
- Develop Airflow DAGs
- Develop data quality solutions with Great Expectations
- Implement monitoring with Lambda and Dash
Perks/Benefits
Skills/Tech-stack
AWS CloudFormation | AWS CodePipeline | AWS Lambda | AWS SageMaker | Amazon Athena | Amazon EventBridge | Apache Airflow | Apache Spark | Astronomer | Dash | Docker | FastAPI | Flask | Great Expectations | Hadoop | Keras | Kubernetes | MLflow | NumPy | Oracle | Pandas | Pytest | Python | REST API | SES | SNS | SciPy | Scikit-learn | Service Catalog | TensorFlow | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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