Senior Lead Software Engineer - AI/ML Developer
JPMorgan ChaseBase Salary
$176k - $260k/yr
Responsibilities
- Design, build, and maintain scalable machine learning platforms and infrastructure for end-to-end ML workflows.
- Develop tools for model training, deployment, monitoring, versioning, and lifecycle management.
- Integrate data engineering, feature management, model serving, and ML metadata capabilities into unified platform solutions.
- Implement secure production code for platform services, APIs, and automation pipelines.
- Lead evaluations with data scientists, ML engineers, and product teams to define and deliver platform features.
- Improve platform reliability, scalability, performance, monitoring, troubleshooting, and continuous improvement.
- Create architecture and design artifacts aligned with enterprise standards.
- Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services.
- Drive adoption of authorized AI-assisted engineering practices and consistent validation standards across the team.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure.
- Advanced Python skills and experience with one or more ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with data-processing frameworks and tools such as Spark, Pandas, and SQL.
- Experience with cloud ML platforms such as AWS SageMaker, GCP AI Platform, or Azure ML, or with on-premises ML infrastructure.
- Strong understanding of MLOps practices, including ML CI/CD, model versioning, and monitoring.
- Experience developing APIs and platform services for ML workflows.
- Knowledge of the software development life cycle, Agile methodologies, and enterprise automation tools.
- Ability to collaborate with cross-functional teams and align platform solutions with business objectives.
- Preferred experience with Databricks, Snowflake, Snorkel AI, Docker, Kubernetes, Airflow, Terraform, CloudFormation, feature stores, model registries, and ML metadata management.
- Preferred experience with RESTful APIs and microservices architectures.
Benefits
- Competitive total rewards and benefits package, including comprehensive health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Additional compensation details are provided during the hiring process; eligible roles may include commission-based or discretionary incentive compensation.
- Employment is contingent on review of criminal conviction history under Section 19 of the Federal Deposit Insurance Act.
Tech Stack
Categories
About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.