The Principal Machine Learning Engineer will spearhead innovative projects focused on developing and implementing advanced AI-driven solutions. They will also serve as a technical leader, collaborating with cross-functional teams to align AI capabilities with strategic business goals.
Platform Engineers in the FactSet.io group architect, build, and maintain a Platform-as-a-Service infrastructure. You’ll operate in both the development and systems world, writing software that helps scale the systems and applications that we support for our internal consumers.
Design, develop, and deploy sophisticated machine learning and GenAI models to solve complex data problems at scale. Collaborate with other engineers and product managers to build robust, high-performance Python-based analytics pipelines.
You will architect workflows for task automation and implement agents to automate repetitive tasks. Additionally, you will design techniques for insight generation from complex datasets and maintain robust data pipelines.
The Lead Software Engineer will be responsible for making the product more scalable and reliable by delivering high-quality, reusable, and maintainable code. They will also perform unit and integration testing, provide technical solutions, and ensure best practices are followed.
