Sr Lead Software Engineer_AI/ML at JPMC Candidate Experience page

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

260000.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TensorFlow, PyTorch, Scikit-learn, Spark, Pandas, SQL, AWS SageMaker, GCP AI Platform, Azure ML, MLOps, APIs, CI/CD, Agile Methodologies, Architecture Design, Infrastructure Provisioning

Industry

Financial Services

Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer - ML at 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 5+ 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. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Responsibilities

The role involves designing, building, and maintaining scalable machine learning platforms and infrastructure to support end-to-end ML workflows, including developing and optimizing tools for model training, deployment, and lifecycle management. Responsibilities also include implementing secure, high-quality production code and collaborating with various teams to deliver platform features that accelerate ML development and operations.