Design, develop, and operate AI agent infrastructure using LLM platforms and agent frameworks to enhance business decision-making.
About this role
This lead data scientist works in the CTO Office’s AI Lab, helping CARTA’s businesses and corporate functions evaluate and use generative AI. The role builds shared foundations so teams can develop AI-enabled business outcomes with reusable data and model-evaluation capabilities.
Work includes reusable data platforms, evaluation systems, tools, libraries, guardrails and data flows; research into new models and post-training; and knowledge sharing. The role identifies opportunities across businesses, conducts requirements analysis, selects evaluation and learning strategies, runs validation, and improves monitoring, metrics and guidelines. Technologies named include OpenAI, Anthropic Claude, Google Gemini on Vertex AI, LangChain, Langfuse, Python with pandas and scikit-learn, PyTorch, TensorFlow, AWS, GCP, Terraform and CDK.
Candidates need at least five years, or equivalent, in practical or research-and-development work involving Python-based data analysis, modeling or machine learning; interest in generative AI; understanding of evaluation methods and metrics for large models; ability to assess model usefulness against business needs; and experience leading a team or project.
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