Associate Director of Data Science – RAG, NLP, LLM and GenAI (Hybrid or Remote)

NLP PEOPLE; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Join a leading company as an Associate Director of Data Science, focusing on NLP, LLM, and GenAI. This role involves developing and deploying advanced AI/ML models, collaborating with product and engineering teams, and ensuring adherence to best practices. Ideal candidates will have a Ph.D. and extensive experience in machine learning and NLP. Enjoy a culture of innovation and inclusivity while making impactful contributions.

Benefits

Health & Wellness

Flexible Time Off

Continuous Learning

Financial Planning

Family Perks

Qualifications

• 8+ years of experience with structured and unstructured data analytics.
• 3+ years developing NLP models, especially with transformer architectures.

Responsibilities

• Design and develop custom models for AI/ML pipelines.
• Work with MLOps to deploy models into production.
• Maintain comprehensive documentation of modeling processes.

Skills

Python

Machine Learning

NLP

Problem Solving

Education

Ph.D. in Computer Science

Tools

Hugging Face

TensorFlow

Keras

PyTorch

Job description

About the Role:

Grade Level (for internal use): 12

The Role: Associate Director of Data Science – RAG, NLP, LLM and GenAI

S&P is a leader in risk management solutions leveraging automation and AI/ML. This role offers a unique opportunity for hands-on ML scientists and NLP/Gen AI/LLM scientists to advance their careers by applying their technical expertise in NLP, deep learning, GenAI, and LLMs to generate business value across multiple stakeholders, while conducting cutting-edge applied research in these areas.

Responsibilities and Impact:

1. ML, Gen AI, NLP, LLM Model Development: Design and develop custom models for batch and stream processing AI/ML pipelines, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning, and prompt engineering. Collaborate with data science, MlOps, and technology teams to implement solutions.
2. ML, NLP, LLM Model Evaluation: Develop and maintain evaluation tools to assess model performance, accuracy, and reliability during development and UAT, and optimize models for efficiency.
3. NLP, LLM, Gen AI Model Deployment: Work with MLOps to deploy models into production, ensuring reliability and scalability.
4. Internal Collaboration: Partner with product teams, stakeholders, MLOps, and engineering teams for seamless integration of models into systems.
5. Documentation: Maintain comprehensive documentation of modeling processes and procedures.
6. Standards and Best Practices: Ensure models adhere to organizational standards, governance, and best practices.
7. Problem Solving: Troubleshoot complex issues and develop innovative solutions related to data pipelines and models.

What We’re Looking For:

Basic Required Qualifications:

• Ph.D. in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or related field.
• 8+ years of experience with structured and unstructured data analytics using ML, RAG, and NLP.
• 3+ years experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar tools.
• 3+ years developing NLP models, especially with transformer architectures.
• Experience with search and retrieval solutions at scale, from keyword to semantic search.
• Hands-on experience with LLMs and Generative AI, including fine-tuning and development.

Nice to have: Contributions to GitHub, open source projects, research initiatives, or Kaggle competitions.

Compensation and benefits details are provided, including salary ranges, incentive plans, and benefits overview.

About S&P Global Ratings:

Our ratings, research, and opinions help market participants understand creditworthiness and make informed decisions. S&P Global Ratings is part of S&P Global, a leading provider of analytics and benchmarks in global markets.

What’s In It For You:

We foster a culture of curiosity, innovation, and inclusivity, aiming to build a more sustainable and equitable future. Join us to help create impactful insights that make a difference.

Our Values: Integrity, Discovery, Partnership.

Benefits include health & wellness, flexible time off, continuous learning, financial planning, family perks, and more. For details, visit: https://spgbenefits.com/benefit-summaries

We are committed to an inclusive workplace and equal opportunity employment. Our hiring practices emphasize fairness and transparency, valuing diverse perspectives. Employment is contingent upon compliance with our securities policies.

Equal Opportunity Employer statement and accommodations info are included.

Additional job classification and company info are provided.