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
Basic Qualifications
- 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
Preferred Qualifications
- Deep expertise in GenAI NLP time-series forecasting or recommender systems
- Experience with LLM frameworks (e.g. OpenAI APIs LangChain Hugging Face Transformers)
- Proven success in deploying production-grade ML systems and managing MLOps workflows
- Track record of thought leadership via publications patents or internal innovations
- Ability to thrive in fast-paced ambiguous environments with high autonomy
At CDK we believe inclusion and diversity are essential in inspiring meaningful connections to our people customers and communities. We are open curious and encourage different views so that everyone can be their best selves and make an impact.
CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race color creed ancestry national origin gender sexual orientation gender identity gender expression marital status creed or religion age disability (including pregnancy) results of genetic testing service in the military veteran status or any other category protected by law.
Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.
Required Experience:
Manager
Key ResponsibilitiesLead 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 forecasti...
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
Basic Qualifications
- 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
Preferred Qualifications
- Deep expertise in GenAI NLP time-series forecasting or recommender systems
- Experience with LLM frameworks (e.g. OpenAI APIs LangChain Hugging Face Transformers)
- Proven success in deploying production-grade ML systems and managing MLOps workflows
- Track record of thought leadership via publications patents or internal innovations
- Ability to thrive in fast-paced ambiguous environments with high autonomy
At CDK we believe inclusion and diversity are essential in inspiring meaningful connections to our people customers and communities. We are open curious and encourage different views so that everyone can be their best selves and make an impact.
CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race color creed ancestry national origin gender sexual orientation gender identity gender expression marital status creed or religion age disability (including pregnancy) results of genetic testing service in the military veteran status or any other category protected by law.
Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.
Required Experience:
Manager
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