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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Data Science and Gen AI Developer - Vice President

职能前端
级别VP级
地点Bengaluru, Karnataka, India
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

React

Machine Learning

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, LLama Index, Auto Gen, Re Act , 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, Py Spark/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.

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关于JPMorgan Chase

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

员工数

New York City

总部位置

$500B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.5

薪酬

4.0

企业文化

3.8

职业发展

3.2

管理层

2.8

68%

推荐率

优点

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

薪资范围

44个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

录用率

50%

体验

正面 25%

中性 75%

负面 0%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study