Data Scientist Lead at JP Morgan (JPMC) · Bengaluru (Bangalore) · 5 - 12 years · ₹30L - ₹70L / yr · Posted 15 Oct 2025
Machine Learning (ML)
Python
Amazon Web Services (AWS)
KubernetesCompany name: JPMorgan (JPMC)
Job Category: Predictive Science
Location: Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru
Job Schedule: Full time
JOB DESCRIPTION
JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity.
As a senior ML and GenAI engineer, you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.
You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.
Job responsibilities
• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
• Close partnership with peers in a geographically dispersed team and colleagues across organizational lines
• Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities
• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
• Deploy solutions into public cloud infrastructure
• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact
Required qualifications, capabilities, and skills
• Formal training or certification on software engineering concepts and 5+ years applied experience
• MS in Computer Science, Statistics, Mathematics or Machine Learning.
• Development experience, along with hands-on Machine Learning Engineering
• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions
• Solid Python programming skills required; with other high-performance language such as Go a big plus
• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
• Experience in using LLMs (OpenAI, Claude or other models) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus
• Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
• Expertise in application, data, and infrastructure architecture disciplines
• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
• Excellent communication skills and ability to communicate with senior technical and business partners
Preferred qualifications, capabilities, and skills
• Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn
• Understanding of finance or wealth management businesses is an added advantage
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 Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
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This is an excellent opportunity for an ideal candidate with a high level of technical proficiency and meeting the below mentioned criteria -- • Strong experience in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). • Hands-on experience building and deploying production-grade solutions using Azure OpenAI, OpenAI, LangChain, LangGraph, Semantic Kernel, LlamaIndex, and Agentic AI frameworks. • Strong expertise in Python, API development, microservices, and cloud-native architectures. • Experience designing and implementing RAG solutions, vector databases, embeddings, knowledge retrieval systems, and AI copilots. • Experience with Azure cloud services, MLOps, CI/CD pipelines, monitoring, and model lifecycle management. • Strong understanding of AI governance, responsible AI, security, compliance, and model evaluation frameworks. • Ability to lead technical discussions, provide architectural recommendations, mentor team members, and interact with business stakeholde
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We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in Natural Language Processing (NLP), Large Language Models (LLMs), and Python programming.
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Follow CutshortShubham Vishwakarma
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