Roles & Responsibilities:

• Work directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systems
• Design and implement frameworks and tools to streamline the machine learning process
• Automate manual data collection and processing tasks to improve efficiency
• Leverage software architecture and design patterns to develop fault tolerant microservices
• Convert research-based machine learning models into production-ready software
• Implement processes to ensure coding standards, code quality, documentation, and test coverage

Qualifications:

• 12+ years of programming experience in Python
• Expertise in developing and maintaining data pipelines
• Experience in testing, packaging, and deploying machine learning models
• Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
• Expertise in Object-Oriented Design Principals and Functional Programming Principals
• Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3
• Experience in implementing distributed computing systems
• Experience in designing modular, reusable software components
• Experience in developing API endpoints and microservices
• Knowledgeable of MLOps Principles
• Knowledgeable of ML platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow

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