Data Scientist Lead - AI Solutions

JPMorganChase · India · Posted 2026-07-23

Tech stack: AWS, Azure, GCP, Java, Kubernetes, Python

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About the role

As the next push into this investment, JPMC is hiring the best talents to join our AI engineering team. We are executing like a startup and building the 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 people who are excited about the opportunity.
Responsibilities:
- Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions.
- Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
- Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
Qualifications:
- BE/B. Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field.
- Solid programming skills with Python/Java or other equivalent languages.
- Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
- Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
- Knowledge of machine learning frameworks: Tensorflow/Pytorch
- Knowledge of prompt engineering.
- Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic.
- Cloud Technologies: AWS/GCP/Azure, Kubernetes
- Strong analytical and critical thinking skills.
- Self-motivation, great communication skills and team player.

Qualifications

- BE/B. Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field.
- Solid programming skills with Python/Java or other equivalent languages.
- Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
- Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
- Knowledge of machine learning frameworks: Tensorflow/Pytorch
- Knowledge of prompt engineering.
- Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic.
- Cloud Technologies: AWS/GCP/Azure, Kubernetes
- Strong analytical and critical thinking skills.
- Self-motivation, great communication skills and team player.

Responsibilities

- Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions.
- Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
- Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.

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