JPMorgan Applied AI ML Lead 

India, Karnataka, Bengaluru 

690807556

As a Software Engineer II at JPMorgan Chase within Corporate Technology, you will be part of an agile team dedicated to enhancing, designing, and delivering the software components of the firm’s cutting-edge technology products in a secure, stable, and scalable manner. As a developing member of the software engineering team, you will implement software solutions through the design, development, and technical troubleshooting of various components within a technical product, application, or system, while acquiring the skills and experience necessary to advance in 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
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and expanding applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrable ability to code in one or more languages
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence etc.)

Preferred qualifications, capabilities, and skills

• Proven experience using Java, Python
• Familiarity with modern front-end technologies
• Familiarity with reporting technologies - tableau, alteryx
• Exposure to cloud technologies - AWS, Databricks
• Exposure to data engineering concepts and experience using big data technologies - hadoop, hive, hdfs etc