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Full-time
bachelor degree, postgraduate degree
Posted 9d ago
Apply by Aug 15
~40 hrs/week
Responsibilities
Design and deploy predictive models, advanced analytics, and generative AI agentic solutions to solve complex business problems. Build reusable production-ready services and pipelines to improve risk assessment, governance reporting, and business process automation.
Requirements
Requires a bachelor's degree in a technical field and three years of experience delivering end-to-end AI/ML solutions from prototype to production. Proficiency in Python and experience with LLM workflows, RAG, and cloud/containerized environments are essential.
Full job description
Join a world-class Applied AI/ML organization at JPMorganChase and help shape how teams across the firm use data science, machine learning, and Generative AI to solve real business problems.
As a Senior Associate in Applied Artificial Intelligence and Machine Learning within Shared Services, you design and deploy predictive models, advanced analytics, and large language model agentic solutions that orchestrate tools and workflows inside business processes. You wil build reusable services that teams can adopt to improve risk assessment support, legal and regulatory change mapping, control design and testing, sustainable monitoring, issue tracking, and governance reporting.
Job Responsibilities
Design, develop, and deploy predictive machine learning, advanced analytics, and generative AI solutions for complex business problems
Build and integrate agentic workflows into end-to-end business processes, including retrieval-augmented generation, tool or function calling, routing, and structured outputs
Prototype AI-enabled approaches quickly and harden successful prototypes into reusable, production-ready services with measurable outcomes
Own end-to-end model delivery, including dataset preparation, feature engineering, training, validation, evaluation, deployment, and iteration
Design, deploy, and operate production pipelines and services (batch and real-time), including monitoring, retraining strategies, and reliability and cost improvements
Partner with product, engineering, and risk and controls stakeholders to define requirements, align on success metrics, and drive adoption
Apply responsible AI and governance-aligned practices across the model and agent lifecycle, including evaluation, guardrails, and documentation
Contribute reusable patterns, templates, and libraries that accelerate delivery across teams
Required qualifications, capabilities, and skills
Bachelor’s degree in data science, computer science, statistics, mathematics, or a related technical field (or equivalent practical experience)
Three years of experience delivering end-to-end AI or machine learning solutions from prototype to production (or production-like) deployment
Strong Python proficiency for data analysis, modeling, and production implementation
Experience building, evaluating, and deploying predictive models (for example, classification, regression, or natural language processing) using common libraries (for example, PyTorch, TensorFlow, or scikit-learn)
Experience building and deploying large language model workflows that include retrieval-augmented generation and tool or function calling
Experience defining and using an evaluation approach for large language model solutions (for example, test sets, regression tests, or structured human review)
Experience operating production pipelines or services, including versioning, continuous delivery practices, monitoring and alerting, and incident hygiene
Working knowledge of cloud and or containerized environments (for example, Amazon Web Services, Microsoft Azure, Google Cloud Platform, or Kubernetes)
Strong communication skills, including the ability to translate business problems into measurable technical outcomes and explain results to diverse audiences
Preferred qualifications, capabilities, and skills
Master’s degree or doctorate in a quantitative field
Publications, patents, or meaningful open-source contributions related to machine learning or generative AI
Experience scaling agentic systems across multiple use cases, including mature evaluation practices and quality dashboards
Experience implementing guardrail patterns and operating controls for generative AI features in production
Experience with large-scale data processing and cloud data services, and exposure to performance optimization for model serving
Experience in financial services or other regulated industries, including comfort operating within governance and change management expectations
Experience with specialized domains such as search and ranking, recommender systems, graph machine learning, or knowledge graphs
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.
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.
Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms
JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Offices: 270 Park Avenue, New York, NY 10017-2014, US · 101 Duncan Mill Road, Toronto, ON M3B1Z3, CA · 2200 Ross Ave, Dallas, TX 75201, US · Kadubeesanahalli Circle, Bengaluru, Karnataka 560103, IN · 370 S Cleveland Ave, Westerville, OH 43081, US
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How many Science & Research jobs are open in Bengaluru, India right now?
There are currently 2,222 open science & research positions in Bengaluru, India listed on Clera. New openings are added daily as companies post roles.
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Companies currently hiring include Qualcomm, Eurofins Viracor, Accenture, Applied Materials, Thermo Fisher Scientific, among others. Browse the listings above to see every active employer.
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