Applied AI ML Senior Associate at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ML Solutions, Deep Learning, LLMs, Data Architecture, ML Platform, GenAI Platform, Distributed ML Deployment, Large Language Models, Generative AI Evaluation, Python, Java, PyTorch, TensorFlow, RAGs, Prompt Engineering, Agent Orchestration

Industry

Financial Services

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As an Applied AI/ML Senior associate within JPMorgan Chase Digital Technology, you will lead the innovation, development and deployment of various ML solutions that will sit at the intersection of scale, real business impact and engineering rigor. Job Responsibilities Develop solutions related to data architecture, ML Platform as well as GenAI platform architecture, provide tactical solution and design support to the team and embedded with engineering on the execution and implementation of processes and procedures Serve as a subject matter expert on a wide range of ML techniques and optimizations. Provide in-depth knowledge of distributed ML platform deployment including training and serving. Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques. Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines. Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. Own end to end code development in python/Java for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks and collaborate with product and engineering teams to deliver tailored, science and technology-driven solutions. Drives decisions that influence the product design, application functionality, and technical operations and processes. Required Qualifications, Capabilities, and Skills 4+ years of experience in building and deploying ML solutions (Deep learning/ LLMs). In-depth understanding of classical ML techniques, deep learning, graph networks, RAGs (and different flavours of RAG), and their applications to structured and unstructured datasets Good understanding of frameworks such as PyTorch or TensorFlow. In-depth understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Hands-on experience in building and deploying either one of these two - deep learning models or LLM based solutions Strong mathematical foundations on how the models work. Excellent coding skills, and the ability to quickly turn ideas into production-quality systems. Preferred Qualifications, Capabilities, and Skills Bachelors or Masters in Computer Science and/or relevant fields. Experience in handling huge volumes of data (both batch and streaming), GPU optimization. Experience with search and recommender systems , and exposure to latest agentic frameworks such as Langchain, Langgraph, RASA, Parlant, Decagon. Application experience in prompt engineering, LLM model evaluation, and single and multi agent orchestration. 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. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Responsibilities

The role involves leading the innovation, development, and deployment of Machine Learning solutions focusing on scale, business impact, and engineering rigor, including developing solutions for data architecture and GenAI platform architecture. Responsibilities also include serving as a subject matter expert on ML techniques, providing hands-on code development in Python/Java, and optimizing system accuracy and performance.