Machine Learning Engineer - Senior Associate

Testing Site - JPMC; Chicago (IL); On-site; USD 105,000 - 200,000; Full time

Job summary

JPMorganChase in Chicago seeks a Senior Machine Learning Engineer to design, build, and maintain AI-powered applications with a focus on AIOps, IT infrastructure, and platform engineering.

You will collaborate with cross‑functional teams to translate requirements into scalable solutions, implement robust data pipelines, and ensure production deployments with modern ML frameworks and cloud platforms. The role requires strong Python skills and prior experience delivering production AI systems.

Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of software development with a focus on integrating AI/ML solutions.
• Strong Python programming for production systems.
• Hands-on experience with LLM techniques and related methods.

Responsibilities

• Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.
• Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
• Develop and implement software architecture and design patterns to ensure scalability and performance.
• Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.
• Implement and manage data pipelines to preprocess and transform data for AI/ML models.
• Integrate AI/ML models into software applications and ensure seamless deployment into production environments.
• Optimize software applications for performance, reliability, and scalability.
• Conduct code reviews and provide technical guidance to junior developers.
• Stay up-to-date with the latest advancements in software engineering and AI/ML technologies.
• Ensure adherence to software development best practices, including agile and lean methodologies.
• Apply SRE principles to enhance system reliability, performance, and availability. Implement monitoring and alerting solutions to proactively identify and resolve issues.

Skills

Python

LLM techniques

Recommender systems

Data preprocessing

AI/ML algorithms

NLP

Deep learning

TensorFlow

PyTorch

AWS/Azure

CI/CD

Observability

Education

Bachelor's degree in Computer Science or equivalent

Tools

TensorFlow

PyTorch

scikit-learn

Keras

Jenkins

Splunk

Terraform

Apache Kafka

Apache Spark

Job description

Chicago, IL, United States

TEST SITE — DO NOT APPLY

This career site is for testing purposes only. Please do not submit applications.

Job Information

• Job Identification 210731762
• Job Category Predictive Science
• Business Unit Commercial & Investment Bank
• Posting Date 04/02/2026, 09:36 PM
• Locations 131 S Dearborn St, Chicago, IL, 60603, US
• Job Schedule Full time
• Base Pay/Salary Chicago, IL $104,500.00-$199,800.00

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Job Description

Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.

As a Machine Learning Engineer - Senior Associate within the CIB Technology team at JPMorganChase , you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Job Responsibilities:

• Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.
• Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
• Develop and implement software architecture and design patterns to ensure scalability and performance.
• Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.
• Implement and manage data pipelines to preprocess and transform data for AI/ML models.
• Integrate AI/ML models into software applications and ensure seamless deployment into production environments.
• Optimize software applications for performance, reliability, and scalability.
• Conduct code reviews and provide technical guidance to junior developers.
• Stay up-to-date with the latest advancements in software engineering and AI/ML technologies.
• Ensure adherence to software development best practices, including agile and lean methodologies.
• Apply SRE principles to enhance system reliability, performance, and availability. Implement monitoring and alerting solutions to proactively identify and resolve issues.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5 + years of experience as a software developer with a focus on integrating AI/ML solutions.
• Strong programming skills in Python, with experience in developing and maintaining production-level code.
• Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• In-depth experience with /Ranking, Recommender systems, RAG (Similarity Search), Agent systems, and other advanced methodologies.
• Experience with application architecture and design patterns.
• Proficiency in working with large datasets and data preprocessing.
• Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing.
• Familiarity with AI/ML libraries and frameworks such as TensorFlow, PyTorch, scikit-lein, and Keras.
• Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications.
• Experience with CI/CD, Observability and Monitoring solutions such Jenkins, Phoenix Arise, Splunk etc.

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with DevOps practices for software deployment and monitoring.
• Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.
• Experience with distributed computing frameworks, such as Apache Spark.
• Experience in implementing SRE practices to improve system reliability and performance.

About the Team

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.