Senior Applied AI & Generative Agentic Systems Engineer

JP Morgan Chase; New York (NY); Presencial; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

JPMorganChase in New York is seeking an Applied AI ML Senior Associate to design, develop, and productionize ML and deep learning solutions, including generative AI use cases. You will partner with product and engineering to translate business needs into reliable models and scalable platform capabilities.

The role emphasizes collaboration, experimentation, and delivering high-quality, performant AI solutions across business lines, with hands-on coding in Python and a strong grounding in NLP and

Formación

• 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

Responsabilidades

• 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 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.

Conocimientos

Python

ML fundamentals

NLP

LLMs

PyTorch

TensorFlow

Model deployment

GPU optimization

Educación

MS/PhD in Computer Science or ML

Herramientas

Sagemaker

EKS

Descripción del empleo

JPMorganChase in New York is seeking an Applied AI ML Senior Associate to design, develop, and productionize ML and deep learning solutions, including generative AI use cases. You will partner with product and engineering to translate business needs into reliable models and scalable platform capabilities.

The role emphasizes collaboration, experimentation, and delivering high-quality, performant AI solutions across business lines, with hands-on coding in Python and a strong grounding in NLP and