Machine Learning Engineer

Applies strong data engineering and machine learning expertise to industrialize predictive and prescriptive solutions across big datasets. He/she handles both streaming and non-streaming analytics use cases and applies deep understanding of analytics and data science to engineer performant and robust code as well as applying best in class development frameworks.

RESPONSIBILITIES:

• Refactor prototypes of predictive models into high performing production-ready solutions.
• Work closely with Data Scientists to create analytical variables, metrics, and models.
• Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code.
• Choose and use the right analytical libraries, programming languages, and frameworks for each task.
• Contribute to building client capabilities by coaching team members on data science methodologies and approaches. Contribute to best coding and engineering practice across AI projects.
• Build/refactor/develop code into reusable libraries, APIs, and tools.