Software Engineer III - Machine Learning Platform

JPMorgan Chase • New York, NY • 1h ago

Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

As a Software Engineer III (Machine Learning Platform Engineer) at JPMorgan Chase within the Consumer & Community Banking (CCB) line of business, you serve as a seasoned member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver trusted, market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm's business objectives and drive innovation in ML platform capabilities.

Job responsibilities

Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows.

Develop and optimize tools for model training, deployment, monitoring, and lifecycle management.

Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions.

Implement secure, high-quality production code for platform services, APIs, and automation pipelines.

Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations.

Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement.

Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.

Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services.

Contribute to the ML platform engineering community of practice and participate in events that explore new and emerging technologies.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience

Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure

Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL)

Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure

Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring

Experience developing APIs and platform services for ML workflows

Solid knowledge of the software development life cycle and agile methodologies

Ability to collaborate with cross-functional teams to deliver platform solutions aligned with business objectives

Preferred qualifications, capabilities, and skills

Familiarity with Databricks for scalable data engineering and ML platform integration

Experience working with Snowflake for cloud-based data warehousing and analytics

Exposure to Snorkel AI for programmatic data labeling and training data management

Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow)

Familiarity with feature stores, model registries, and ML metadata management

Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)

Experience with RESTful APIs and microservices architectures

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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