Senior Machine Learning Engineer Customer Intelligence

Lead customer intelligence engineering at CTC with machine learning, generative AI, and large-scale transaction data expertise. Own a strategic platform end to end. As a senior ML/AI Engineer, you will transition a third-party engine into a fully owned CTC capability. Master its code, prompts, models, data pipelines, and architecture while supporting Personalization, marketing, merchandising, dealer, and customer analytics use cases. Production ownership spans scheduled scoring, catalogue refreshes, monitoring, and remediation. Key Responsibilities:

Lead platform transition and establish independent technical ownership Operate scoring, catalogue refreshes, releases, and production monitoring Own classification, clustering, features, validation, and drift management Develop GenAI prompts, context, models, outputs, and workflows Improve accuracy, reliability, scalability, maintainability, runtime, and cost Requirements:

Graduate-level education in a related technical discipline 5+ years supporting production ML or AI solutions Advanced Python, SQL, PySpark, and Spark skills Production GenAI, prompt engineering, evaluation, and controls experience Azure, Databricks, MLflow, and CI/CD experience Apply machine learning, generative AI, and production engineering expertise to CTC customer intelligence platforms and enterprise analytics.

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