AIML Sr. Associate - DCL

Testing Site - JPMC; Jersey City (NJ); On-site; USD 170,000 - 230,000; Full time

Job summary

JPMorgan Chase is seeking an experienced AI/ML Engineer to join the Corporate Oversight and Governance Technology AI/ML team. You will work in an agile setting to design and deliver trusted, market-leading AI products with a focus on security, stability, and scalability.

You will collaborate with product managers, data scientists, and ML engineers to deploy advanced GenAI solutions, build robust deployment pipelines, and continuously optimize models for reliability and performance across

Qualifications

• Bachelor's or Master's in CS, Engineering, or related field.
• 6+ years of applied AI/ML engineering experience in production.
• Proficiency in Python for model development and OpenAI API.
• Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms.

Responsibilities

• Collaborate with product managers, data scientists, ML engineers, and stakeholders to understand requirements and prioritize use cases.
• Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
• Implement optimization strategies to fine-tune generative models for GenAI use cases, ensuring high-quality outputs.
• Evaluate generative models (e.g., GPT-5.2) and iterate on architectures to improve performance in LLM applications.
• Implement monitoring to track model performance in real-time and ensure reliability.
• Communicate AI/ML capabilities and results to both technical and non-technical audiences.
• Stay informed about latest trends and leverage external APIs for enhanced functionality.

Skills

Python programming

OpenAI API

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Transformer models

GenAI concepts

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

OpenAI API

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Google Cloud Platform

Job description

As a AI/ML Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
• Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
• Implement optimization strategies to fine-tune generative models for specific GenAIuse cases, ensuring high-quality outputs in summarization and text generation.
• Conduct thorough evaluations of generative models (e.g., GPT-5.2), iterate on model architectures, and implement improvements to enhance overall performance in LLM applications.
• Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
• Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
• Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

Required qualifications, capabilities, and skills

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 6+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
• Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
• Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
• Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
• Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly Transformer.
• Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
• Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
• A portfolio showcasing successful applications of generative models in LLM projects, including examples of utilizing OpenAI APIs and model fine-tuning.

Preferred qualifications, capabilities, and skills

• Familiarity with the financial services industries.
• Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG) and Agentic AI framework
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.