Applied Science Manager - AI/ML

As a Lead ML/AI Scientist at CDK, you will be responsible for mentoring a team to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration to model deployment. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaboration with product, engineering, and MLOps teams to translate business needs into scalable ML solutions will be a key aspect. You will utilize LLMs and Retrieval-Augmented Generation (RAG) for building intelligent customer experiences. Championing model performance, interpretability, and reproducibility across varied domains will be part of your responsibilities. Additionally, contributing to reusable AI/ML tooling, pipelines, and best practices to enhance development velocity is expected. **Key Responsibilities:** - Lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. - Own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. - Architect and implement models for recommendation systems, classification, forecasting, and generative AI use-cases. - Collaborate cross-functionally with product, engineering, and MLOps to translate business needs into scalable ML solutions. - Leverage LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences. - Champion model performance, interpretability, and reproducibility across varied domains. - Contribute to reusable AI/ML tooling, pipelines, and best practices to improve development velocity. **Qualifications Required:** - Masters or PhD in Computer Science, Machine Learning, Statistics, or related field. - 5+ years of dedicated hands-on experience developing and deploying ML models at scale. - 2+ years of experience managing or mentoring data scientists or ML engineers. - Proficiency in Python and familiarity with languages like Java. - Solid foundation in ML techniques including regression, classification, deep learning, and collaborative filtering. - Experience with model deployment tools (e.g., FastAPI, Docker) and cloud ML platforms (AWS/GCP/Azure). - Strong communication skills; ability to present complex ideas to technical and non-technical stakeholders. At CDK, inclusion and diversity are valued to inspire meaningful connections with people, customers, and communities. The company encourages different views and believes that everyone can be their best selves to make an impact.,