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The role involves managing a software engineering team, collaborating with product and design teams, and driving AI initiatives for contract management solutions.

As a Principal Machine Learning Engineer, you'll design and implement core ML systems for AI agents, collaborating with cross-functional teams and overseeing the full lifecycle of products from data strategy to deployment.

Lead overall success for an assigned portfolio of Workday subscribers: build executive relationships, orchestrate cross-functional resources, drive adoption and subscription retention/growth, and deliver exceptional customer experiences while supporting deployments and ongoing production.

Lead technical direction and implementation of a large-scale AI model serving platform. Design, build, and operate distributed systems (Ray/Ray Serve), ensure scalability, reliability, monitoring (Prometheus), CI pipeline robustness, and evolve the production model registry while collaborating with ML engineers and stakeholders.

As a Machine Learning Engineer, you will develop user experiences using LLMs and predictive analysis, deliver ML solutions, and ensure continuous improvement in AI products at scale.