The role
From JPMorgan Chase's own posting.
Join us to shape the future of technology through AI and machine learning. You will have the opportunity to deliver projects that make a real difference, collaborate with talented teams, and grow your expertise in cutting-edge frameworks. We value your creativity and technical skills, empowering you to solve complex challenges. At JPMorganChase, your contributions help us build smarter, more resilient systems. Discover a workplace where your ideas and growth matter.
As an AI/ML Software Engineer in our team, you will deliver AI/ML projects through the full development life cycle using Agile methodology. You will transform business requirements into technical specifications, define milestones, and ensure timely delivery. You will create secure, high-quality production code and maintain algorithms that integrate seamlessly with our systems. Your role includes producing architecture and design artifacts, developing visualizations and reporting from large data sets, and proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies.
Job Responsibilities:
Deliver AI/ML projects through the ML development life cycle using Agile methodology
Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery
Execute solutions, design, development, and technical troubleshooting with innovative approaches
Create secure and high-quality production code, maintaining algorithms that run synchronously with systems
Produce architecture and design artifacts for complex applications, ensuring design constraints are met
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets
Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture
Contribute to software engineering communities of practice and events exploring new and emerging technologies
Required Qualifications, Capabilities, and Skills:
Formal training or certification in software engineering concepts
Experience as a hands-on practitioner developing production AI/ML solutions
Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT
Deep knowledge and experience in machine learning and artificial intelligence
Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis
Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics
Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn
Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars
Familiarity with AWS Cloud services such as EMR, Sagemaker
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies including CI/CD, application resiliency, and security
Preferred Qualifications, Capabilities, and Skills:
Exposure to cloud technologies