Applied AI ML Lead -Digital

JPMorgan Chase & Co.; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

JPMorganChase in Bengaluru seeks an Applied AI ML Lead to drive end-to-end ML projects, build scalable data processing pipelines, and productionize high-quality models for personalized financial services. The role requires working with cross-functional teams to translate requirements into robust software solutions.

You will mentor junior associates, stay abreast of latest ML research, and ensure compliance with regulatory standards while delivering measurable business impact.

Qualifications

• MS or PhD in Computer Science, Statistics, Mathematics or ML-related field.
• Expert in at least one area: NLP, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis.
• Deep knowledge in data structures, algorithms, ML, data mining, IR, statistics.
• Expertise in ML frameworks: TensorFlow, PyTorch, pyG, Keras, MXNet, Scikit-Learn.
• Strong programming knowledge of Python and Spark; good NumPy/SciPy.
• Excellent written and oral communication and teamwork skills.

Responsibilities

• Research, develop, and implement ML algorithms for personalized financial services.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Lead challenging projects delivering ML-driven digital solutions.
• Develop state-of-the-art algorithms for personalization and recommendations.
• Design experiments, validate results, and productionize scalable, trustworthy solutions.
• Collaborate with data engineers to preprocess and analyze large datasets.
• Stay up-to-date with ML research and apply it to problems.
• Communicate findings to stakeholders via presentations and visuals.
• Work with regulatory/compliance teams to ensure ML model standards.
• Mentor Junior ML associates.
• Participate in firm-wide ML communities through patents/publications/speaking.

Skills

NLP

Knowledge Graph

Computer Vision

Speech Recognition

Reinforcement Learning

Ranking

Time Series

Python

Spark

NumPy/ SciPy

Education

MS/PhD in CS/Stats/Math/ML

Tools

TensorFlow

PyTorch

pyG

Keras

MXNet

Scikit-Learn

Job description

• Business Unit Consumer & Community Banking
• Posting Date 03/13/2026, 09:45 AM
• Locations Ground to Fifth Floor G,H Block, EMBASSYTECH VILLAGE-PARCEL 5 OUTER RING RD DEVERABEESANAHALLI VILLA, Bengaluru, IN-KA, 560103, IN
• Job Schedule Full time

Job Description

We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering.

As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Additionally, you will design and implement highly scalable and reliable data processing pipelines, and perform analysis and insights to promote and optimize business results.

Job Responsibilities

• Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains.
• Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services.
• Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions.
• Conduct research to develop state-of-the- art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces.
• Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions.
• Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources.
• Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes.
• Communicate findings and insights to stakeholders through presentations, reports, and visualizations.
• Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations.
• Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm.
• Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements.

Required qualifications, capabilities and skills

• MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field.
• Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
• Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn.
• Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy.
• Strong analytical and critical thinking skills for problem solving.
• Excellent written and oral communication along with demonstrated teamwork skills.
• Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences
• Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders.
• A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills

Preferred qualifications, capabilities and skills

• 8+ (MS) or 5+ (PhD) years of relevant experience.
• Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles.
• Experience with distributed data/feature engineering using popular cloud services like AWS EMR
• Experience with large scale training, validation and testing experiments.
• Experience with cloud Machine Learning services in AWS like Sagemaker and Container technology like Docker, ECS etc.
• Experience with Kubernetes based platform for Training or Inferencing.

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 ourFAQs 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.