Description

Job Description:

• Strong Software Engineering fundamentals
• Experience deploying machine learning models into production environment
• Strong DevOps, Data Engineering and ML background with Cloud platforms (we use AWS)
• Experience in containerization and orchestration (such as Docker, Kubernetes)
• Experience building/operating systems for data extraction, ingestion and processing of large data sets

Additional preferred technical experience/skills:

• Machine learning platforms (such as SageMaker, DataBricks)
• Machine learning frameworks/libraries (such as TensorFlow, PyTorch, Keras, scikit-learn)
• Experience or familiarity with MLOps tools such as MLFlow and Kubeflow
• Distributed Computing Frameworks (such as Spark)
• Model performance monitoring
• Network Security

Key Skills

Education

Any Graduate