Sr Data Scientist– NLP, LLM and GenAI

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Job Summary:

S&P Global is a leader in risk management solutions leveraging automation and AI/ML. The role of Sr Data Scientist focuses on applying technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value while conducting advanced research in these areas.

Responsibilities:

• ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.

• ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.

• NLP, LLM, Gen AI Model Deployment: Work closely 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.

• Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.

• Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.

• Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.

Qualifications:

Required:

• Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.

• 1 years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.

• Demonstrated 1 years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in python programming.

• 1 years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.

• 1 years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.

• Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI)

• Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms.

Preferred:

• Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.

Company:

S&P Global is a market intelligence company that provides financial information and data analytics services. Founded in 1860, the company is headquartered in New York, New York, USA, with a team of 10001 employees. The company is currently Public Company. S&P Global has a track record of offering H1B sponsorships.