We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III, Python/Machine Learning Skills at JPMorgan Chase within the Corporate Sector-Corporate Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will partner with team members across the full lifecycle of the team’s AI/ML projects, helping to solve complex engineering problems from the research stage through to production implementation. Bring your passion for solving complex problems using innovative technologies including recent ML advancements to a high impact role on our team.

Job responsibilities

Provides design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintain algorithms that run synchronously within appropriate systems
Researches the business problems and apply ML / AI solutions to effectively address the business needs
Designs, implements, trains and deploys machine learning solutions to address business demands in unconventional ways
Implements various model metrics and validation measures to validate and measure the behavior of ML models
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Collaborates with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Proven programming skills using Python and numerical libraries such as NumPy, Pandas, Scikit-Learn, SciPy, Torch, Tensorflow, etc.
Hands on experience of working with classification and regression models including Deep Neural Networks models
Strong understanding of Data Structures, algorithms, math concepts and its uses
Hands-on practical experience in system design, application development, testing, and operational stability
Experience with relational database systems such as MS SQL Server or Oracle
Demonstrated relevant experience within tech or financial industries
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Ability to work effectively in a dynamic, fast-paced group that has several concurrent projects
Preferred qualifications, capabilities, and skills

Strong Python skills and track record of successful delivery of large scale projects
Experience working with AWS services
Solid understanding of AI/ML models, including previous experience with deep learning frameworks
Experience working with a variety of data formats, including natural language, image, and time series data