McGraw Hill is looking to create and deliver world-class educational experiences by leveraging cutting-edge data science and Artificial Intelligence solutions, specifically focusing on large language models (LLMs) and generative AI.
Requirements
- Deep knowledge and practical experience with production-scale DS/AI systems
- Recent focus on generative AI, including hands-on experience with applying LLM orchestration frameworks (e.g., LangChain, LlamaIndex)
- Understanding of complex GenAI architectures and experience with guarding, scaling, monitoring, and maintaining these systems
- Experience supporting DS/AI systems across stages of the Machine Learning Operations/LLM Operations lifecycle at enterprise scale
- Proficiency in Python (10+ years), with the ability to write scalable, production-level code
- Experience with LangChain/Lang Smith
- Recognized expertise in at least one area of DS/AI through academic and industry work
Responsibilities
- Lead the design and implementation of technical solutions in alignment with organizational goals.
- Define projects for the team, and maintain an overview of different projects and timelines.
- Collaborate with other departments and stakeholders to identify data science needs, define project requirements, and ensure data science and psychometric initiatives are aligned with business objectives.
- Present findings and recommendations to key stakeholders.
- Apply DS/AI knowledge to independently define and resolve complex problems, including when there is limited information or precedent.
- Develop scalable and efficient production-level code using tools such as Python.
Other
- Ph.D. or equivalent in Data Science, Applied Mathematics, Statistics, or a related field
- 2-5 years of experience as Principal Data Scientist or 6-10 years as Sr. Data Scientist
- Demonstrated technical leadership, including the ability to independently define, lead, and successfully complete projects
- Clear communication and effective collaboration that drives business results
- Passion for technology and commitment to staying current on generative AI advancements
