Software Engineer III - Python AI ML Engineer

Posted An Hour Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Design, develop, and maintain scalable AI software; implement and optimize ML models; use Python/Node.js, ML frameworks, and cloud/container tech; perform code reviews, troubleshoot defects, collaborate with stakeholders, and apply responsible AI and AI-assisted development tools.
Summary Generated by Built In

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

We are seeking talented and experienced AI developers to join our team, where you'll innovate and create cutting-edge solutions, leveraging machine learning and artificial intelligence to drive technological advancements and solve complex challenges.  


As a Software Engineer III at JPMorgan Chase within Asset and Wealth Management, you will be required to apply deep knowledge and expertise to all aspects of the software development lifecycle, share your knowledge with others, and partner continuously with stakeholders to stay focused on common goals. You will work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. 


Job responsibilities

  • Designs, develops, and maintains scalable and efficient software applications and systems for AI projects. 
  • Collaborates with various teams and other engineers to understand requirements and deliver solutions. 
  • Implements and optimizes algorithms and models for AI applications. 
  • Writes clean, maintainable, and well-documented code. 
  • Participates in code reviews and provide constructive feedback to peers. 
  • Troubleshoots and resolves software defects and issues. 
  • Stays up-to-date with the latest advancements in AI and software development technologies. 
  • Contributes to the continuous improvement of development processes and best practices. 
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Strong programming skills in languages such as Python, Nodesjs. 
  • Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch ). 
  • Familiarity with AWS and containerization technologies (e.g., Docker, Kubernetes). 
  • Solid understanding of software development methodologies and best practices. 
  • Excellent problem-solving skills and attention to detail. 
  • Strong communication and collaboration skills. 
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

  • Experience with natural language processing, computer vision, or other AI domains. 
  • Knowledge of data engineering and data pipeline development. 
  • Experience with distributed systems and microservices architecture. 

Skills Required

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Strong programming skills in Python
  • Strong programming skills in Node.js
  • Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch)
  • Familiarity with AWS
  • Familiarity with Docker
  • Familiarity with Kubernetes
  • Solid understanding of software development methodologies and best practices
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills
  • Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs
  • Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
  • Experience with natural language processing, computer vision, or other AI domains
  • Knowledge of data engineering and data pipeline development
  • Experience with distributed systems and microservices architecture

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
  • Retirement Support A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
  • Leave & Time Off Breadth Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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