- Own and drive end-to-end architecture, solution design, and delivery of machine learning and data solutions for enterprise clients across diverse industries.
- Translate business and data science requirements into scalable technical and MLOps solutions that align with phData methodologies, standards, and best practices.
- Design and create secure, scalable environments and tooling for data scientists to build, train, and manipulate models and data.
- Define deployment approaches and production infrastructure for machine learning models, ensuring that businesses can reliably use, monitor, and maintain the models we develop.
- Create and execute operational testing strategies, including QA validation, performance testing, and implementation plans, to support model testing and deployment.
- Provide technical and strategic leadership during workshops, discovery sessions, architecture and design reviews, and project delivery.
- Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating ML solutions.
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