LEAD DATA SCIENTIST- NLP, LLM AND GENAI

Company: caia.org - Jobboard
Location: Princeton
Posted on: October 23, 2024

Job Description:

About the Role:

Ensure you read the information regarding this opportunity thoroughly before making an application.
Grade Level (for internal use):
11
The Role: Lead Data Scientist- NLP, LLM and GenAI

S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply their technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related 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. What We're Looking For:
• Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.
• 2+ 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 2+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming.
• 2+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
• 2+ 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 and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI).
• Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms.
• Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions. Compensation/Benefits Information:
  S&P Global states that the anticipated base salary range for this position is $100,200 - $215,000. Base salary ranges may vary by geographic location.
  
  This role is eligible to receive S&P Global benefits.
  
  For more information on the benefits we provide to our employees, visit S&P Benefits.
  
  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 so market participants can uncover opportunities and make decisions with conviction.
  
  What's In It For You?
  Our Purpose:
  Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
  
  Our People:
  We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective.
  
  Our Values:
  Integrity, Discovery, Partnership
  
  Benefits:
• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. Diversity, Equity, and Inclusion at S&P Global:
  At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation - Powering Global Markets.
  
  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.
  
  US Candidates Only:
  The EEO is the Law Poster describes discrimination protections under federal law.
  
  Job ID: 298800
  Posted On: 2024-03-22
  Location: New York, New York, United States
  
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Keywords: caia.org - Jobboard, Trenton , LEAD DATA SCIENTIST- NLP, LLM AND GENAI, Other , Princeton, New Jersey