Top Python Jobs

As a Senior Software Engineer, you will design and maintain efficient Python code, develop scalable AI-driven software solutions, integrate ML/AI capabilities, and mentor junior engineers. You'll collaborate with product managers and work with cloud platforms to drive innovations and improve existing codebases.

As a Senior Software Engineer in AI Engineering, you will design and maintain Python code, develop scalable AI-driven software solutions, integrate ML capabilities into the ServiceNow platform, and mentor junior engineers. You'll collaborate with cross-functional teams, work with various cloud platforms to deploy solutions, and improve codebases for performance and scalability.

As a Full Stack Developer, you will create and maintain customer acquisition programs and web applications using technologies such as NodeJS and Python, while working with MySQL, React, and various APIs. You will contribute to technology improvements and foster a learning environment within the development team.

As a Senior Lead Software Engineer at JPMorgan Chase, you will enhance and deliver ML technology products by architecting distributed ML infrastructures, developing management tools, optimizing system performance, and integrating Generative AI within the ML Platform. The role emphasizes collaboration with product teams, strategic decision-making, and hands-on experience in software development, primarily using Python and AWS.

The Principal Architect will lead the technical direction, design scalable systems, implement cloud-native solutions, and integrate AI and Twilio APIs in the insurance sector.

The QA Lead, Automation is responsible for transforming the QA team through automation by designing test frameworks, mentoring engineers, and integrating automation into the CI/CD pipeline. This role includes developing automation strategies, optimizing testing processes, and leading performance testing efforts.

The Senior Research Engineer will innovate and deliver secure AI applications by maintaining codebases and docker images, conducting code reviews, and collaborating with cross-functional teams. They will build tooling for AI research, focus on performance optimization, and manage end-to-end data pipelines, while staying engaged in both fundamental and applied research in AI security.

In this role, you will create innovative solutions utilizing AI agent frameworks and LLMs on the ServiceNow platform, collaborating with research and engineering teams. Responsibilities include building, testing AI agents, evaluating performance, and developing applications that leverage AI capabilities.