Applied AI ML - India Lead
JPMorgan Chase · Posted Oct 14
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The Consumer and Community Banking - Architecture and Engineering team at JPMorgan Chase builds and delivers trusted, secure, stable, and scalable technology products supporting the firm's business objectives. The team works across applied artificial intelligence and machine learning to create customer-facing financial experiences. This role leads applied AI/ML solutions from concept to production, partnering with product, engineering, data, and control stakeholders, and helps teams adopt repeatable patterns for model development, deployment, and monitoring.
What you will do
- Design end-to-end software and machine learning solutions that are secure, resilient, and scalable for production use.
- Develop high-quality production code in Python and perform thorough code reviews to improve correctness, security, and maintainability.
- Build and operationalize machine learning models, including generative approaches where applicable, from experimentation through deployment and ongoing support.
- Define evaluation, testing, and monitoring practices for model and application performance, reliability, and drift to sustain production outcomes.
- Automate recurring remediation and operational tasks to improve stability, reduce incidents, and streamline support.
- Lead technical solutioning across multiple components and services, aligning architecture decisions with business requirements and platform constraints.
- Drive workflow automation opportunities using machine learning to improve customer or employee experiences while maintaining appropriate controls.
- Evaluate external vendors, startups, and internal solutions by probing architecture, technical fit, and integration feasibility within existing systems.
- Mentor engineers through communities of practice and day-to-day guidance, reinforcing an inclusive, respectful, and high-performing team culture.
Skills used in this role
What the employer is looking for
- Formal training or certification in software engineering concepts and 5+ years of applied software engineering experience.
- Hands-on experience delivering system design, application development, testing, and production support for customer- or business-critical systems.
- Professional experience developing in Python, including building and supporting machine learning workloads.
- Experience implementing automation and continuous delivery practices in a production engineering environment.
- Working knowledge of the full software development life cycle, including design, build, test, release, and operate.
- Experience building or integrating machine learning solutions, including generative model use cases in production or pre-production environments.
- Experience working with cloud-native technologies and deploying workloads to a public cloud environment (for example, Amazon Web Services).
- Experience working in financial services technology or similarly regulated environments with security and control expectations.
Preferred qualifications
- Experience designing or implementing agent-based artificial intelligence solutions (for example, tool-using or multi-step reasoning workflows).
- Experience fine-tuning or adapting language models, including small language models and large reasoning models, for domain-specific use cases.
- Familiarity with model evaluation techniques for generative solutions (for example, automated quality checks and human-in-the-loop review patterns).
- Experience partnering with governance, risk, or control stakeholders on responsible model deployment and ongoing monitoring.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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