Applied AI ML - Sr. Associate

JPMorgan Chase & Co.; City of Rochester (NY); On-site; USD 130,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. in USA seeks a Sr. Associate – Applied AI/ML in HR Data and Analytics to apply quantitative and data science skills to workforce challenges. You will partner with domain experts to design, develop, and scale AI/ML solutions from research to production deployment.

You will drive strategic initiatives shaping business outcomes and the employee experience at scale, with growth opportunities on a world‑class data science team.

Qualifications

• Advanced degree (master’s or higher) in Computer Science, Data Science, Engineering, or related quantitative field.
• 2+ years of experience developing and deploying AI/ML solutions with hands‑on coding and end‑to‑end design.
• Strong programming skills in Python with libraries such as TensorFlow, PyTorch, Keras, or scikit‑learn.
• Expertise in ML techniques (supervised, unsupervised, semi‑supervised), NLP, generative AI, or computer vision.
• Practical experience with LLMs, fine‑tuning, prompt/context engineering, and RAG pipelines.
• Understanding of agentic AI systems and their design principles.
• Demonstrate strong analytical and problem‑solving skills; thrive in cross‑functional, collaborative environments.

Responsibilities

• Engage with stakeholders to identify business needs and design technical AI/ML solutions.
• Partner with product managers, engineers, and experts across the AI/ML lifecycle from concept to production.
• Perform AI model evaluations and monitoring, ensuring accuracy, safety, and reliability.
• Conduct research to advance AI foundations and data science capabilities.
• Collaborate with teams across the firm to advance the mission and vision.

Skills

Python

TensorFlow

PyTorch

Keras

scikit-learn

NLP

Generative AI

LLMs

RAG pipelines

Agentic AI

Analytical thinking

Cross‑functional collaboration

Education

Master's degree or higher in a quantitative field

PhD in a relevant discipline

Job description

We’re building the AI‑native, data‑driven future of HR at a leading global financial institution. With 300,000+ employees across 60+ countries, our AI team in HR Data and Analytics develops research and production solutions that help leaders make smarter, evidence‑based decisions—shaping how our global workforce operates.

As a Sr. Associate – Applied AI/ML in HR Data and Analytics, you apply quantitative, data science, and analytical skills to complex workforce challenges. You partner with domain experts and cross‑functional teams to design, develop, and scale AI/ML solutions from foundational research through production deployment. Your work drives strategic initiatives that shape the firm’s business and the employee experience at scale, with opportunities for personal and professional growth on a world‑class data science team.

Job responsibilities

• Engage with stakeholders to identify and define business needs and opportunities, and design technical solutions to address them.
• Partner with product managers, engineers, and functional experts across the end‑to‑end AI/ML lifecycle—conception, validation, scaling, production delivery, and performance monitoring.
• Perform AI model evaluations and monitoring; develop structured verification systems to ensure accuracy, safety, and reliability.
• Conduct research that advances the technical foundations of AI and data science capabilities.
• Collaborate with teams across the firm to advance mission and vision.

Required qualifications, capabilities, and skills

• Advanced degree (master’s or higher) in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or a related quantitative discipline.
• 2+ years of experience developing and deploying AI/ML solutions with hands‑on coding and end‑to‑end solution design.
• Strong programming skills in Python; including experience with libraries such as TensorFlow, PyTorch, Keras, or scikit‑learn.
• Demonstrated expertise in machine learning techniques (supervised, unsupervised, semi‑supervised), natural language processing (NLP), generative AI, or computer vision.
• Practical experience with Large Language Models (LLMs), including fine‑tuning, prompt and context engineering, and RAG pipelines.
• Understanding of agentic AI systems and their design principles.
• Demonstrate strong analytical and problem‑solving skills; thrive in cross‑functional, collaborative team environments.

Preferred qualifications, capabilities, and skills

• Hold a PhD in a relevant discipline.
• Experience in the financial services industry.

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