Job
Description
Are you ready to elevate your career in software engineeringJoin our dynamic team as a Python Developer, where your expertise will drive cutting-edge solutions and contribute to impactful projects. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and make a significant impact. As a Python Developer at JPMorgan Chase within the Technology and Data Science team, you will execute software solutions, design, and development, collaborating with cross-functional teams to deploy machine learning services. You will be responsible for producing architecture and design artifacts for complex applications, ensuring design constraints are met. Your role will involve contributing to the engineering community and influencing the use of leading-edge technologies. Job Responsibilities Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches. Create secure and high-quality production code, maintaining algorithms that run synchronously with systems. Produce architecture and design artifacts for complex applications, ensuring design constraints are met. Collaborate with cross-functional teams, including Data Science partners, to design and deploy machine learning services. Contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices. Influence peers and project decision-makers to consider leading-edge technologies. Add to the team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on Software Engineering concepts and 3+ years applied experience. Experience in building complex software systems in both private and public cloud environments (AWS). Hands-on practical experience delivering system design, application development, testing, and operational stability. Advanced Python Programming Skills including Pandas, Numpy. Proficiency with AIM algorithms. Advanced knowledge of software applications and technical processes in technical disciplines (e.g., cloud, AI, ML). Ability to tackle design and functionality problems independently with little oversight. Preferred Qualifications, Capabilities, and Skills Advanced skills in additional programming languages (Java). Familiarity with building services and consuming data via GraphQL, REST, or gRPC and SQL. Experience in building and deploying machine learning models, with knowledge of the ML Lifecycle; expertise in MLOps and AIOps is an advantage. Working knowledge of security best practices and compliance standards for machine learning systems.
