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JPMorganChase

Software Engineer III - ML Engineer

Posted Yesterday
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Bengaluru, Karnataka
Mid level
Bengaluru, Karnataka
Mid level
As a Software Engineer III at JPMorgan Chase, you will design, develop, and troubleshoot software components for technology products. You will focus on enhancing AI/ML platforms and implementing software engineering best practices, while also maintaining code consistency and enabling continuous integration. Communication of technical concepts across the organization is key.
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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking- Data Technology, 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
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  • Hands on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance.
  • Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance.
  • Maintain consistent code check-ins every sprint to ensure continuous integration and development.
  • Executes using Platform engineering to enable the Gen AI platform and develop the Gen AI Use cases ,LLM fine tuning and multi agent orchestration.
  • Communicate technical concepts and solutions effectively across all levels of the organization.


Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Extensive practical experience with AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
  • Hands-on experience in DataBricks ML lifecycle development.
  • Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.
  • Real-time model serving experience with Seldon


Preferred qualifications, capabilities, and skills

  • Ray Or AWS SM is a plus.

Top Skills

AWS
Databricks
Seldon

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