Applied AI ML Lead

7 hours ago

Bengaluru, Karnataka, India JPMC Candidate Experience page Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking - Architecture & Engineering team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Brings strong leadership skills; guiding the team and steering the work
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced experience in Python with AI/ML modeling
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Experience in AI/ML development, particularly with Generative AI or Agentic AI.
  • Demonstrated proficiency in software applications and technical processes: AWS, ML/AI, LLM
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  Preferred qualifications, capabilities, and skills
  • Agentic AI Models
  • SLM's, LRM's and Model Finetuning.

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