Machine Learning Engineer

• Own design, development and maintenance of high-performance AI solutions that utilizes agentic workflows to deliver concrete business value for internal stakeholders.
• Examples include knowledge assistants, document processing copilots, voice agents, etc.
• Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
• Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
• Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
• Assist in project planning, ensuring the efficient allocation of resources and timely delivery of solutions.
• Guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.

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