Machine Learning Engineer - Senior Associate
Company: JPMorganChase
Location: Chicago
Posted on: April 4, 2026
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Job Description:
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-learn, 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.
Keywords: JPMorganChase, Elgin , Machine Learning Engineer - Senior Associate, IT / Software / Systems , Chicago, Illinois
