Data Science and Gen AI Developer - Vice President at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, LLM Development, Exploratory Data Analysis, Data Mining, Data Visualization, Storytelling, Gen AI, Agentic AI, Vectorization, Vector Stores, Database Optimization, Performance Tuning, RAG Based Agents, Langchain, LLamaIndex, AutoGen

Industry

Financial Services

Description

You are a strategic thinker passionate about driving solutions in Data Science and LLM developer. You have found the right team. As a Data Science and LLM Developer – VP within our Transformation and Analytics team, you will define, refine, and deliver set goals for our firm. You will implement exploratory data analysis techniques to uncover trends and patterns, identifying critical data sources that promote business impact. Collaborating with product teams, you will define scope, set priorities, and coordinate activities to develop strategic solutions. You will design and build data mining queries for large structured and unstructured datasets, transforming raw data into actionable information. Your role involves demonstrating data visualization and storytelling, and architecting solutions using Gen AI and Agentic AI technologies. You will develop innovative solutions through research and development initiatives, translating model outputs into user-friendly insights and analytics for end users. Job Responsibilities: * Implement various exploratory data analysis techniques . Analyze for Trends and Patterns . * Apply a range of exploratory data analysis techniques to uncover trends and patterns. * Identify critical data sources that drive business impact. * Define scope, set priorities, and coordinate activities with product owners; collaborate with product teams to develop strategic solutions. * Design and build data mining queries for large structured and unstructured datasets, with experience in transforming raw data into actionable information. * Demonstrate data visualization and storytelling. * Architect solutions leveraging Gen AI and Agentic AI technologies. * Develop innovative solutions through research and development initiatives. * Translate model outputs into user-friendly insights and analytics for end users. Required qualifications, capabilities and skills * Experience Required: 10 + years in Data related projects and 3+ years in Data Science/AI * Self-starter, attention to details and results orientated, able to work under minimal guidance. * Uses pertinent data and facts to identify and solve a range of problems within area of expertise. * Having mandatory experience in Statistics along with Exploratory and regression data analysis * Strong proficiency in LLM, concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based agents. Proficient in building evaluation metrics. * Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and Claude models. * Experienced in Agentic AI patterns and deploying solutions into production environments. * Experience in model development using Machine Learning techniques [Data Analysis /Model Tuning]. * Bachelor’s Degree in, Data science, Computer Science, or Engineering. Different field of study, with significant professional experience in Analytics and BI development, is acceptable. * Good communication and analytical skills Preferred qualifications, capabilities and skills * Exposure for complex ETL development is an added advantage. * Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL) * Knowledge on CI/CD pipelines. You are a strategic thinker passionate about driving solutions in Data Science and LLM developer. You have found the right team. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. 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. Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.

Responsibilities

The role involves defining, refining, and delivering strategic goals by implementing exploratory data analysis to uncover trends and identifying critical data sources that promote business impact. Responsibilities also include architecting solutions using Gen AI and Agentic AI technologies and translating model outputs into user-friendly insights for end users.