AI/ML Engineer - Software Engineer III

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Cloud exposure

Job summary

JPMorgan Chase & Co. is seeking an experienced Software Engineer III - AI/ML Engineer in the AI For Technology group in Jersey City. You will lead AI/ML initiatives, translate business needs into technical specs, and deliver secure, scalable solutions within an agile team.

Responsibilities include implementing ML life cycle processes, building production-ready code, and developing data-driven insights across large datasets. Strong Python/Spark skills and cloud experience are essential.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on production AI/ML solution development experience.
• Familiarity with LangChain, LangGraph, Auto-GPT and related tools.
• Deep knowledge of machine learning and AI, with ML frameworks cited.
• Strong programming in Python and Spark; familiarity with vector ops.
• Experience with AWS services like EMR, SageMaker, and data processing pipelines.
• Understanding of SDLC and agile practices including CI/CD and security.

Responsibilities

• Deliver AI/ML projects via agile lifecycle with clear milestones.
• Translate business needs into AI/ML specifications and deliverables.
• Develop secure, production-grade code and reliable models.
• Produce architecture/design artifacts for complex apps and ensure constraints.
• Analyze large datasets to generate visuals and improve software systems.
• Identify hidden data patterns to improve coding hygiene and architecture.
• Contribute to engineering communities and explore new tech.

Skills

AI/ML engineering

Python

Spark

NLP

Large Language Models

Vector ops (NumPy/SciPy)

Distributed systems

CI/CD

Security best practices

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

Auto-GPT

AWS SageMaker

EMR

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, 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

• Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
• Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

• Formal training or certification onsoftware engineeringconcepts and 3+ years applied experience

• Experience as a hands-on practitioner developing production AI/ML solutions.
• Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc.
• Deep knowledge and experience in machine learning and artificial intelligence.
• Expert in at least one of the following areas: 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, Statistics.
• Demonstrated understanding in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn.
• Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.
• Familiarity in AWS Cloud services such as EMR, Sagemaker etc.,
• Overall knowledge of the Software Development Life Cycle

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies