Software Engineer II - AI/ML

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Mumbai, Maharashtra
Hybrid
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Job Description
You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorgan Chase within the Consumer & Community Banking Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
  • Executes standard software solutions, design, development, and technical troubleshooting
  • Design, develop, and implement machine learning models and AI algorithms for various business applications.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
  • Monitor, maintain, and improve deployed models and AI systems.
  • Stay updated with the latest advancements in AI/ML technologies and frameworks.
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Experience in developing and deploying machine learning models.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of data structures, algorithms, and statistical methods.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.

Preferred qualifications, capabilities, and skills
  • Experience with deep learning, NLP, computer vision, or reinforcement learning.
  • Knowledge of big data technologies (Spark, Hadoop).
  • Experience with RESTful APIs and microservices architecture.
  • Prior experience in financial services or related industries.

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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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