S&P Global
Associate Director of Data Science – RAG, NLP, LLM and GenAI
S&P Global, Princeton, New Jersey, us, 08543
Employer Industry: Risk Management and Financial Services
Why consider this job opportunity: - Salary up to $215,000 - Eligible for an annual incentive plan - Comprehensive benefits package including health care, retirement planning, and family-friendly perks - Opportunities for continuous learning and career growth - Work in a collaborative environment with a focus on innovation and integrity - Engage in cutting-edge applied research in AI, ML, and NLP
What to Expect (Job Responsibilities): - Design and develop custom ML, Gen AI, NLP, LLM models for AI/ML pipelines - Collaborate with data science teams to validate and maintain model performance evaluation tools - Deploy machine learning models into production, ensuring reliability and scalability - Collaborate with product teams and stakeholders for smooth model integration - Document ML modeling processes for reference and knowledge sharing
What is Required (Qualifications): - Bachelor's, Master’s, or Ph.D. degree in Computer Science, Mathematics, Statistics, or a related field - 8+ years of professional experience in data-driven analytics using ML, RAG, and NLP - 3+ years of hands-on experience with Python and libraries such as Hugging Face, TensorFlow, and PyTorch - 3+ years of experience developing natural language processing models with transformer architectures - Knowledge and experience with developing or tuning Large Language Models (LLM) and Generative AI
How to Stand Out (Preferred Qualifications): - Experience contributing to GitHub and open-source initiatives or participating in Kaggle competitions
#RiskManagement #DataScience #MachineLearning #CareerOpportunity #AIResearch
"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
Why consider this job opportunity: - Salary up to $215,000 - Eligible for an annual incentive plan - Comprehensive benefits package including health care, retirement planning, and family-friendly perks - Opportunities for continuous learning and career growth - Work in a collaborative environment with a focus on innovation and integrity - Engage in cutting-edge applied research in AI, ML, and NLP
What to Expect (Job Responsibilities): - Design and develop custom ML, Gen AI, NLP, LLM models for AI/ML pipelines - Collaborate with data science teams to validate and maintain model performance evaluation tools - Deploy machine learning models into production, ensuring reliability and scalability - Collaborate with product teams and stakeholders for smooth model integration - Document ML modeling processes for reference and knowledge sharing
What is Required (Qualifications): - Bachelor's, Master’s, or Ph.D. degree in Computer Science, Mathematics, Statistics, or a related field - 8+ years of professional experience in data-driven analytics using ML, RAG, and NLP - 3+ years of hands-on experience with Python and libraries such as Hugging Face, TensorFlow, and PyTorch - 3+ years of experience developing natural language processing models with transformer architectures - Knowledge and experience with developing or tuning Large Language Models (LLM) and Generative AI
How to Stand Out (Preferred Qualifications): - Experience contributing to GitHub and open-source initiatives or participating in Kaggle competitions
#RiskManagement #DataScience #MachineLearning #CareerOpportunity #AIResearch
"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