About the Role:Grade Level (for internal use): 13
The Role: Director of Data Science - NLP, LLM and GenAI
The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/LLM senior scientist to grow into the next step in their career journey and apply their domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing an ML Data Science team.
Responsibilities:
- ML, Gen AI, NLP, LLM Strategy: Develop and implement ML modeling and LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency.
- ML, Gen AI, NLP, LLM Model Design and Development: Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines.
- ML, NLP, LLM Model Evaluation: Work closely with the MLOps team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability.
- NLP, LLM, Gen AI Model Deployment: Collaborate with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
- Internal Collaboration: Collaborate closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
- Stakeholder Engagement and Collaboration: Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts.
- Mentorship: Recruit, develop and mentor technical AI/ML, NLP, LLM, Gen AI talent on the team.
- Documentation: Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.
- Standards and Best Practices: Ensure the use of standards, governance, and best practices in ML model development.
- Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines.
Compensation/Benefits Information (US Applicants Only):
S&P Global states that the anticipated base salary range for this position is $180,000 - $225,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role.
This role is eligible for an annual incentive plan and additional S&P Global benefits.
What We're Looking For:
- Ph.D (preferred), Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Computational linguistics, Engineering, or a related field.
- 7+ years of professional hands-on experience leveraging large sets of structured and unstructured data using ML, NLP, computer vision solutions.
- 4+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools.
- 4 or more years project leadership experience including Agile project management.
- 5+ years hands-on experience developing NLP models, ideally with transformer architectures.
- Strong knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI).
- Experience in creating reports, projections, models, and presentations to support business goals.
- Excellent written & verbal communication and stakeholder management skills.
About S&P Global Ratings:
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity.
Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.