Machine Learning Engineer - Training Hub Team

In this role, you'll merge production-grade software engineering, data engineering, data science expertise, and MLOps proficiency, developing and implementing advanced analytical solutions for real-world applications. Your focus will be on constructing the infrastructure for the training of the companys machine learning models - from both computational aspects and analytical validity. Through collaboration with cross-functional teams, you'll integrate these ML capabilities seamlessly into our product ecosystem, driving efficient, data-driven outcomes.

What You'll Be Doing
Developing Advanced Analytical Solutions while bridging the gap between data science and the engineering world: You will be instrumental in designing and implementing production-grade analytical tools and systems. Your work will involve transforming complex data science concepts into practical, scalable solutions that drive real-world results.
Facilitating Data Science Excellence through MLOps Frameworks: In this vital role, your primary objective is to gain a deep understanding of the needs and challenges faced by our Data Science team. Utilizing this insight, you will build or leverage existing MLOps solutions to maximize our business impact. This involves bridging the gap between Data Science and Business Objectives, implementing scalable MLOps frameworks, adopting an example-driven approach, enhancing Data Science productivity, and fostering collaborative innovation.