Role overview
- Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring.
- Collaborate with cross-functional teams to translate business problems into mathematical frameworks.
- Build solutions in one or more domains listed above, applying best practices for data quality, explainability, and governance.
- Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or commercial analytics models.
- Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
- Mentor peers and contribute to internal AI capability building.
What you'll work on
Lead the design, development, and deployment of advanced AI/ML solutions for commercial analytics including pricing, marketing, supply chain and trading. You will work end-to-end from problem framing and experimentation through production and sustainment while partnering with business stakeholders to deliver scalable, reliable, and impactful solutions.
What we're looking for
- Cloud platforms (Azure ML, Azure OpenAI, Databricks).
- Knowledge graphs, hybrid search/RAG, and semantic technologies.
- Agile development and software engineering best practices.
Tags & focus areas
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