Applied AI/ML - Senior Associate
On-site · Chicago, Illinois, United States
Job Summary
Applied AI/ML Senior Associate within JPMorganChase's CIB Technology team, focusing on analyzing business problems, building state-of-the-art ML/DL solutions (NLP, personalization, recommendation systems), and delivering end-to-end pipelines including batch and real-time predictions. Collaborates with product owners, data engineers, and software engineers to understand AI needs, prototype solutions, and operationalize models (Document Q&A, information retrieval, classification, personalization). Requires hands-on experience with ML/DL toolkits, LLMs/Gen AI, AWS (SageMaker, EC2, Glue), and strong communication to convey technical results to technical and business stakeholders.
Required Qualifications
- BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning
- 5+ years' experience applying data science/ML techniques to solve business problems
- Programming in Python, Java, C/C++, or similar
- Experience with LLMs and Prompt Engineering
- 1+ year of Gen AI/LLMs experience (GPT, Claude, Llama)
- Solid NLP and Generative AI background; familiarity with ML/DL methods and large language models
- Experience with ML/DL toolkits (Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and metrics aligned with business goals
- Experience deploying ML models on AWS (SageMaker, EC2, Glue)
- Strong communication and collaboration skills
Desired Qualifications
- BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning
- Strong background in Mathematics and Statistics
- Experience with LLMs and Prompt Engineering techniques
- 1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama
- Solid background in NLP, Generative AI and hands-on experience with ML/DL methods and large language models
- Experience with Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas
- Experience with AWS (SageMaker, EC2, Glue) and big data
- Ability to design experiments and evaluation metrics aligned with business goals
- Excellent communication skills and team player
- Published research in ML/DL/RL (preferred)
- Experience with A/B testing and data-driven product development (preferred)
- Production-quality code and CI/testing familiarity (preferred)
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