Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how developers write software
Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions
Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows
Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs)
Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems
Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
Prior publication/research experience (preferred)
At least 3 years of specialized experience in GenAI application development (preferred)
At least 3 years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster (preferred)
At least 3 years of experience working with AWS or equivalent GPU Clusters (preferred)
At least 3 years of experience in PyTorch/Tensorflow (preferred)

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Manager, Data Science – GenAI Digital Assistant

Key skills