Machine Learning Engineer

The ML Engineer is responsible for architecting the productionalized solution around rules-based and AI/ML models to integrate predictions seamlessly into the business processes, ensuring governance, resiliency, explainability, reproducibility, and scalability of the models. We are looking for a highly capable ML Platform Engineer to optimize rules-based and machine learning systems.

As an engineer for the ML platform you will be working at the intersection of machine learning, DevOps, and data engineering (i.e. MLOps).

ML Platform Engineer Responsibilities

• Lead and consult with business stakeholders and data science teams to define data engineering and MLOps requirements.


• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.


• Developing reusable data and feature stores for rules-based ...