Applied AI/ML Engineer

JPMorganChase; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

JPMorganChase in Bengaluru seeks an Applied AI ML Associate Senior to design and deploy trusted AI/ML products at scale, leveraging NLP, DL, and knowledge graphs. You will collaborate across teams to build agent-driven systems and ensure secure, scalable technology solutions for the firm's business objectives.

You will work with Langchain, LangGraph, LangGraph, and cloud-based ML ecosystems to deliver end-to-end data-driven capabilities and robust performance across platforms.

Qualifications

• Advanced degree in Computer Science, Data Science or equivalent.
• 4+ years of hands-on ML/DS/Engineering experience with at least 6 years in industry.
• Strong communication and stakeholder management skills.
• Hands-on Python, FastAPI and deep learning experience.
• Experience designing scalable distributed ML models in production.
• Experience with analytics (SQL, Python, AWS).
• Experience with ML techniques (regression, classification, clustering, causal inference, optimization).

Responsibilities

• Incorporate LLM models in business solutions and build AI processing pipelines.
• Develop production-grade agentic workflows using modern orchestration frameworks.
• Explore LLM models, evaluate performance, and customize for use cases.
• Implement Retrieval-Augmented Generation (RAG) methods for data-rich answers.
• Collaborate with data scientists, engineers, and product managers to deliver solutions.
• Conduct large-scale data modeling experiments and extract insights.
• Apply prompt engineering to fine-tune LLMs for accuracy and relevance.

Skills

Python

FastAPI

Deep Learning

SQL

AWS

ML

Distributed ML

Education

Advanced Degree in Computer Science or Data Science

Tools

Langchain

LangGraph

Google ADK

TensorFlow

PyTorch

Sagemaker

Job description

Job Description

Shape the future of intelligent products by building agent-driven systems that solve meaningful business problems at scale. Shape the future of intelligent products by building agent-driven systems that solve meaningful business problems at scale. As an Applied AI ML Associate Senior at JPMorgan Chase, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products using AI/ML technologies 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. You will need to leverage your strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs, LLM, and experience in working with massive amounts of data to build systems that reach JP Morgan scale.

Job Responsibilities

• Incorporate LLM models in business solutions. Build and enhance the AI processing pipeline to achieve higher throughput and accuracy by customizing for specific use cases by using tools like Langchain, few shot learning, Chain of thought and other prompt engineering techniques.
• Develop production-grade agentic workflows using modern orchestration frameworks (e.g. LangGraph , Google ADK and other agent frameworks), with strong focus on evaluation , observability, resilience, and maintainability.
• Explore LLM models and evaluate model performance and accuracy. Improve the accuracy of the models by customizing for specific use cases.
• Implement Retrieval-Augmented Generation (RAG) methods to enhance the LLM's ability to retrieve and generate accurate answers from large datasets. Develop end-to-end ML pipelines necessary to transform existing applications and business processes into true AI systems.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define requirements and deliver high-quality solutions.
• You will collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations.
• Utilize Prompt Engineering techniques to fine-tune and optimize LLMs for specific use cases and improve response accuracy and relevance.

Required Qualifications, Capabilities, And Skills

• Advanced Degree in field of Computer Science, Data Science or equivalent discipline
• 4+ years of working experience as a hands-on ML Engineer/Data Engineer/Data Scientist, with at least 6 years of industry experience
• Strong communication skills along with significant experience of managing stakeholder of diverse background
• Hands on expertise with Python, Fast API and DL
• Experience in designing and building highly scalable distributed ML models in production.
• Experience with analytics (ex: SQL, Python, AWS suite)
• Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, causal inference, mathematical optimization)

Preferred Qualifications, Capabilities, And Skills

• Experience as a Senior Data Scientist , in driving projects end to end is preferred
• Experience in LLM, building RAG pipeline is preferred
• Experience in large scale Machine Learning system design is preferred
• Experience working with end-to-end pipelines consisting of Cloud services is preferred
• Experience with AWS ML ecosystem (i.e. Sagemaker, etc.) is good to have.
• Frameworks like TensorFlow/PyTorch over GPU is preferred, BERT, SBERT,etc

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

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.