Bulge Bracket Investment Banks

Applied AI ML Lead

at J.P. Morgan

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 6 hours ago

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Compensation: Not specified
City: Bengaluru
Country: India

Lead end-to-end applied AI/ML solution design to solve complex business problems and deliver production-grade models. You will analyze large structured and unstructured data to extract insights, select algorithms, build prototypes and deploy production applications that drive business value. You will mentor a team, partner with cross-functional and compliance teams, and communicate findings to senior stakeholders. This role is based in Bengaluru with a 2pm–11pm IST schedule.

Location: Bengaluru, Karnataka, India

We have an exciting and rewarding opportunity for you to lead applied AI/ML initiatives that deliver measurable impact and accelerate your career. Join a team that values innovation, creativity, and excellence.

As an Applied AI/ML Lead within the Applied AI/ML team, you design and deliver trusted, scalable AI solutions that advance our business objectives. You partner closely with cross-functional teams and use inclusive, collaborative practices to turn complex data into actionable outcomes. This role is based in Bengaluru with a 2pm–11pm IST schedule to support business needs.

Job responsibilities

Lead end-to-end applied AI/ML solution design to solve complex business problems

Analyze large structured and unstructured datasets to uncover trends and actionable insights

Select and optimize algorithms and model architectures for diverse business use cases

Build and deploy prototypes and production-grade models and applications that deliver business value

Communicate findings and recommendations to senior stakeholders through clear, concise presentations

Partner across business, technology, and compliance teams to integrate AI/ML into workflows and drive adoption

Mentor and manage team members to foster innovation, continuous learning, and knowledge sharing

Required qualifications, capabilities, and skills

Graduate degree (MS or PhD) in Statistics, Engineering, Computer Science, Mathematics, Operations Research, or Economics

9+ years of applied machine learning and data science experience delivering production-grade solutions

Expertise in Python and PySpark with proven ability to build production-ready analytical applications

Experience analyzing very large structured and unstructured datasets using quantitative and statistical methods

Hands-on experience developing, deploying, and maintaining machine learning models in enterprise environments

Minimum 2 years of people management experience (hiring, mentoring, performance management)

Demonstrated experience presenting analytical findings to senior stakeholders and communicating complex concepts to non-technical audiences

Preferred qualifications, capabilities, and skills

Experience with Agentic AI and Generative AI frameworks and applications

Experience integrating AI/ML models into business workflows and production ecosystems

Proven ability to act as a trusted advisor on analytics, AI/ML, and emerging technologies

Strong project management skills with delivery under tight timelines

Lead applied AI/ML to solve complex problems, deploy production models, and drive measurable impact across business lines.

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