Overview

Lead AI/ML Software Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team. You will design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Build production-grade ML services, develop end-to-end ML pipelines, and collaborate to develop large-scale data modeling experiments. Your expertise in Python, PySpark, DL frameworks like TensorFlow, and MLOps will be crucial in this role.

As a Machine Learning Lead Software Engineer at JPMorgan Chase, you serve as a seasoned member of an agile team to design and deliver technology solutions across multiple technical areas in support of the firm’s business objectives.

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.
• Manage, mentor, and guide a team of ML and MLOps engineers.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
• Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
• Conduct thorough evaluations of generative models, iterate on model architectures, and implement improvements to enhance overall performance in NLP 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 AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on Python and AI/ML engineering concepts and proficient advanced experience
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 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 GANs, VAEs.
• 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 NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.

Preferred Qualifications, Capabilities, And Skills

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

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to corporations, governments, wealthy individuals and institutional investors. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on the basis of protected attributes and provide accommodations for applicants and employees with religious practices, beliefs, or disabilities. Visit our FAQs for more information about requesting an accommodation.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development