Applied AI ML Senior Associate -AI Agents & Agentic Systems

JPMorgan Chase & Co.; City of Rochester (NY); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

JPMorganChase is hiring an Applied AI ML Senior Associate to design, develop, and productionize ML and DL solutions, including generative AI use cases. You will work with product and engineering teams to translate business needs into reliable models and scalable platform capabilities.

The role emphasizes end-to-end development, from experiments to production, leveraging PyTorch/TensorFlow, NLP, and LLMs, across the bank's diverse business lines.

Qualifikationen

• MS and/or PhD in Computer Science or ML with 2+ years applied ML experience.
• 2+ years applying data science/ML to business problems.
• Strong background in NLP and Large Language Models (LLMs).
• Hands-on with ML and deep learning methods; proficient in PyTorch or TensorFlow.

Aufgaben

• Serve as SME on ML techniques and optimizations.
• Develop and productionize ML/DL solutions and generative AI use cases.
• Experiment and benchmark AI techniques; tune models.
• Own end-to-end code in Python from proof-of-concept to production.

Kenntnisse

Applied ML

Python

NLP

LLMs

PyTorch

TensorFlow

GPU optimization

Production coding

Ausbildung

MS or PhD in CS/ML

Tools

Python

PyTorch

TensorFlow

AWS SageMaker

EKS

ML Ops pipelines

Jobbeschreibung

Bring your applied research and machine learning skills to a team building modern, high-impact generative AI capabilities. You’ll work in a collaborative environment where experimentation, engineering excellence, and customer focus come together to deliver real outcomes.

As an Applied AI ML Senior Associate at JPMorganChase within the Applied Artificial Intelligence and Machine Learning Data Platforms team in Corporate Sector, you will help design, develop, and productionize machine learning and deep learning solutions, including generative AI use cases. You will partner closely with product and engineering stakeholders to turn business needs into reliable models, workflows, and platform capabilities. You will contribute to a scalable platform approach that can support multiple business lines while maintaining strong standards for performance, quality, and usability.

Job responsibilities

• Serves as a subject matter expert on a wide range of ML techniques and optimizations.
• Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
• Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conducts experiments to evaluate and benchmark latest AI and agents techniques, analyzing results, tuning models.
• Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
• Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with engineering teams to deliver tailored, science and technology-driven solutions.
• Integrates Generative AI within the Agent Platform using state-of-the-art techniques.

Required qualifications, capabilities, and skills

• MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 2 years of applied machine learning experience.
• At least 4 years' experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
• At least 2 years’ experience in applying data science, ML techniques to solve business problems.
• Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Hands-on experience with machine learning and deep learning methods.
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search), and agentic systems.
• Ability to work on tasks and projects through to completion with limited supervision.
• Passion for detail and follow through. Excellent communication skills and team player

Preferred qualifications, capabilities, and skills

• Master’s degree in computer science, ML or related areas
• Experience with agentic development frameworks.
• In-depth understanding of LLM and agentic evaluation and benchmarking methodologies. Experience with ML experimentation at scale.
• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
• Experience working with large-scale MLOps pipelines, working with and deploying models to production services.

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.