S&P Global
Associate Director of Data Science – RAG, NLP, LLM and GenAI
S&P Global - New York, New York, us, 10261
Work at S&P Global
Overview
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Overview
Employer Industry: Risk Management Solutions and Financial Services
Why consider this job opportunity: - Salary up to $215,000 - Eligible for an annual incentive plan - Comprehensive health and wellness benefits - Generous time-off policy to promote work-life balance - Opportunities for continuous learning and professional development - Inclusive and collaborative workplace culture
What to Expect (Job Responsibilities): - Design and develop custom ML, Gen AI, NLP, and LLM models for AI/ML pipelines - Collaborate with data science and technology teams to implement ML model solutions - Develop, validate, and maintain evaluation solutions for model performance - Assist in deploying machine learning models into production environments - Document ML modeling processes and troubleshoot complex issues
What is Required (Qualifications): - Bachelor's, Master’s, or Ph.D. degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or a related field - 8+ years of hands-on experience with structured and unstructured data using ML, RAG, and NLP - 3+ years of experience with Python and frameworks like TensorFlow, Keras, and PyTorch - 3+ years of experience developing NLP models, preferably with transformer architectures - Knowledge and experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)
How to Stand Out (Preferred Qualifications): - Experience contributing to GitHub or open-source initiatives - Participation in Kaggle competitions or research projects
#RiskManagement #DataScience #MachineLearning #NLP #CareerOpportunity
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Why consider this job opportunity: - Salary up to $215,000 - Eligible for an annual incentive plan - Comprehensive health and wellness benefits - Generous time-off policy to promote work-life balance - Opportunities for continuous learning and professional development - Inclusive and collaborative workplace culture
What to Expect (Job Responsibilities): - Design and develop custom ML, Gen AI, NLP, and LLM models for AI/ML pipelines - Collaborate with data science and technology teams to implement ML model solutions - Develop, validate, and maintain evaluation solutions for model performance - Assist in deploying machine learning models into production environments - Document ML modeling processes and troubleshoot complex issues
What is Required (Qualifications): - Bachelor's, Master’s, or Ph.D. degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or a related field - 8+ years of hands-on experience with structured and unstructured data using ML, RAG, and NLP - 3+ years of experience with Python and frameworks like TensorFlow, Keras, and PyTorch - 3+ years of experience developing NLP models, preferably with transformer architectures - Knowledge and experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)
How to Stand Out (Preferred Qualifications): - Experience contributing to GitHub or open-source initiatives - Participation in Kaggle competitions or research projects
#RiskManagement #DataScience #MachineLearning #NLP #CareerOpportunity
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr