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

S&P Global; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking an Associate Director of Data Science to lead innovative projects in machine learning and natural language processing. This role offers the chance to work with cutting-edge technologies, including LLMs and Generative AI, while collaborating with cross-functional teams to drive impactful solutions. If you have a strong background in data analytics and model development, this is a unique opportunity to grow your career in a dynamic environment that values creativity and technical expertise. Join a forward-thinking company and make a significant impact in the field of AI.

Qualifications

• 8+ years of experience with structured and unstructured data analytics using ML.
• Hands-on experience with LLMs and GenerAI development.
• 3+ years developing NLP models with transformer architectures.

Responsibilities

• Design and develop custom models for AI/ML pipelines.
• Develop and maintain evaluation tools for model performance.
• Work with MLOps team to deploy models into production.

Skills

Machine Learning

Natural Language Processing

Generative AI

Python

Model Evaluation

Data Analytics

Education

Bachelor's in Computer Science

Master's in Statistics

Ph.D. in Computational Linguistics

Tools

Hugging Face

TensorFlow

Keras

PyTorch

Job description

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

Join to apply for the Associate Director of Data Science – RAG, NLP, LLM and GenAI (Hybrid or Remote) role at S&P Global.

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 an opportunity for hands-on ML scientists and NLP/Gen AI/LLM scientists to grow in their careers, applying their technical expertise to drive business value and conduct cutting-edge research in LLMs, GenAI, and related areas.

Responsibilities and Impact

• ML, Gen AI, NLP, LLM Model Development: Design and develop custom models for AI/ML pipelines, including data ingestion, preprocessing, search, retrieval, RAG, NLP/LLM development, fine-tuning, and prompt engineering, ensuring solutions meet technical and business requirements. Collaborate with data science, MLOps, and technology teams.
• Model Evaluation: Develop and maintain evaluation tools to assess model performance, accuracy, and reliability. Optimize models for efficiency.
• Model Deployment: Work with MLOps team to deploy models into production, ensuring scalability and reliability.
• Internal Collaboration: Partner with product teams, stakeholders, MLOps, ML engineers, and software engineers for seamless integration.
• Documentation: Maintain comprehensive documentation of modeling processes and procedures.
• Standards and Best Practices: Ensure models adhere to organizational standards, governance, and best practices.
• Problem Solving: Troubleshoot complex issues and develop innovative solutions.

Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or related fields.
• 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 large-scale search and retrieval solutions, semantic search, embeddings.
• Hands-on experience with LLMs and GenerAI development and tuning.
• Familiarity with open-source platforms, research projects, Kaggle competitions is a plus.