Applied AI ML Senior Associate

hackajob*
is collaborating with
J.P. Morgan*
to connect them with exceptional tech professionals for this role.
Are you ready to be an integral part of an agile team that consistently pushes the boundaries to enhance, build, and deliver top-tier technology products? At JPMorgan Chase, within the Corporate Sector - AIML Data Platforms, we are seeking a Applied AIML Software Engineer who will play a crucial role in driving business impact through technical expertise and innovative problem-solving.

As a Software Engineer within the AI/ML Platform team you will be building a GenAI apps and Multi Agent AI framework that helps teams diagnose and resolve production issues, manage infrastructure and perform complex SRE and DevOps workflows.

Job Responsibilities

• Serves as a subject matter expert on a wide range of ML techniques and optimizations.
• Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
• Design and evolve systems that use intelligent agents that assist users in detecting, triaging, and resolving incidents using observability data and tools.
• Build end-to-end workflows for incident lifecycle management, powered by LLMs or agentic technologies.
• Implement agentic systems to automate workflows, suggest improvements, and surface likely root causes of failures.
• Develop Model Context Protocol (MCP) server for observability tooling
• Build APIs and orchestration logic for chaining agent actions into multi-step workflows.
• Integrate agentic applications with internal platforms and third-party tools.
• Conducts experiments using latest ML technologies, analyzing results, tuning models

Required Qualifications, Capabilities, And Skills

• MS or BS in Computer Science, Machine Learning, or a related field, with at least 5 years of experience as a software engineer.
• At least 2 years' experience in applying data science, ML techniques to solve business problems.
• At least 2 year's experience in one of the programming languages like Python, Java, C/C++, etc.
• Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Experience with model training, fine-tuning, and evaluation methodologies
• Experience using Agentic AI frameworks such as LangGraph, LangChain, and other orchestration tools to build scalable agent-based systems.
• Ability to work on tasks and projects through to completion with limited supervision.
• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).

Preferred Qualifications, Capabilities, And Skills

• Experience with observability tools such as Datadog, Splunk, CloudWatch, Grafana, ELK, and OpenTelemetry.
• Familiarity with AIOps platforms and techniques including anomaly detection, event correlation, and predictive analytics

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 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.

About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.