Bulge Bracket Investment Banks

Data Scientist Associate - AI/ML

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation: Not specified
City: Hyderabad
Country: India

Join the Business Banking Data and Analytics Team to develop predictive models, RAG pipelines, and GenAI applications for financial services. You will design and manage prompt-based LLM models, AI agents, and scalable ML systems, integrating solutions with enterprise platforms. The role requires collaborating with cross-functional teams to extract insights from complex datasets and drive data-driven decision making. Emphasis is on software and model quality, security, and deployable enterprise solutions.

Location: Hyderabad, Telangana, India

We have an exciting opportunity for you to advance your data science career and shape the future of AI-driven solutions.

As a Data Scientist Associate within the Business Banking Data and Analytics Team, you will collaborate with cross-functional teams to construct predictive models and develop robust RAG pipelines. You will extract valuable insights from complex datasets, drive data-driven decision-making, and deliver innovative AI solutions that enhance technology and business efficiency.

Job responsibilities

Align machine learning problem definition with business objectives to address real-world needs

Design, develop, and manage prompt-based models on Large Language Models for financial services tasks

Architect and oversee the development of next-generation machine learning models and systems using advanced technologies

Drive innovation in machine learning solutions with a focus on scalability and flexibility

Promote software and model quality, integrity, and security across the organization

Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications for enterprise deployment

Integrate GenAI solutions with enterprise platforms using API-based methods

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts and five years of applied AI or machine learning experience

Strong understanding of the Software Development Life Cycle, data structures, algorithms, machine learning, data mining, information retrieval, and statistics

Experience with cloud platforms such as AWS, GCP, or Azure

Proficiency in RDBMS, NoSQL databases, and prompt design

Demonstrated expertise in machine learning frameworks such as TensorFlow, PyTorch, pyG, Keras, MXNet, and Scikit-Learn

Proficient in building AI Agents, integration of tools, and RAG-based solutions

Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences

Preferred qualifications, capabilities, and skills

Experience with knowledge graphs such as neo4J

Proven track record of building and scaling software or machine learning platforms in enterprise environments

Deliver AI solutions to solve complex challenges and drive efficiency as a Data Scientist Associate.

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