Senior Manager, Data Science - AI Foundations

Location: New York

* 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, Lang Chain, Lang Graph, Hugging Face Transformers, vLLM and Vector

DBs, and more
* Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.
* 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.
* Innovative.  You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems..
* Creative. You excel at defining and solving complex, ambiguous problems, constantly questioning and pushing boundaries to develop novel solutions
* A leader. You challenge conventional thinking, drive breakthroughs in conversational AI, and mentor teams to achieve innovation excellence
* Technical. You have hands-on experience in AI/ML development, working with open-source tools, cloud computing platforms, and Dev Ops technologies. You are proficient in NLP and LLM tuning.
* Influential. You are passionate about GenAI and can bring together cross-functional teams to drive adoption and innovation. You communicate complex ideas clearly to technical and non-technical audiences.
* Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
* At least 2 years of experience leveraging open source programming languages for large scale data analysis
* At least 2 years of experience working with machine learning
* At least 2 years of experience utilizing relational databases
* A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 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 5 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 2 years of experience performing data analytics
* PhD in Computer Engineering plus 4 years of relevant experience, prior publication/research experience referred
* At least 3 years of specialized experience in GenAI application development.
* At least 3  years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster
* At least 3 years of experience working with AWS or equivalent GPU Clusters
* At least 5 years of experience in PyTorch/Tensorflow Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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