JPMorganChase · 23 hours ago
Lead Software Engineer
Columbus, OH
Full-time
Onsite
Senior Level, Lead/Staff
6+ years expJPMorgan Chase is one of the oldest financial institutions, offering innovative financial solutions. The Lead Software Engineer will work within the Cybersecurity Technology and Controls team to enhance and deliver technology products, focusing on deploying and managing machine learning models in production environments.
Asset ManagementBankingFinancial Services
Responsibilities
Collaborate with cross-functional teams, including data scientists and software engineers, to understand model requirements and integrate them into applications
Develop and implement strategies for deploying machine learning models into production, ensuring scalability, reliability, and efficiency
Design and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate the testing, deployment, and updating of machine learning models
Manage and optimize the infrastructure required for running machine learning models, including cloud services, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes)
Implement monitoring and logging solutions to track model performance, detect anomalies, and ensure models are operating as expected in production
Maintain version control for models and data, ensuring traceability and compliance with governance policies and ensure that deployed models adhere to security best practices and comply with relevant regulations and standards
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Qualification
Required
Obtain 6+ years of applied experience and/or certification in cybersecurity/engineering concepts, Bachelor's degree in Computer Science, Engineering, or a related field, with relevant experience in ML Ops or related roles
Advanced Python Programming Skills including Pandas, Numpy and Scikit- Learn
Proficiency in building and maintaining CI/CD pipelines for machine learning workflows
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Expertise in cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes)
Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack)
Excellent problem-solving skills and attention to detail and Strong communication skills to collaborate effectively with cross-functional teams
Hands-on practical experience delivering system design, application development, testing, and operational stability
Preferred
Proven experience in deploying and managing large-scale machine learning models in production environments
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Ability to monitor ML models in production, addressing model performance and data quality issues effectively
Working knowledge of security best practices and compliance standards for Machine Learning systems
Experience with infrastructure optimization techniques to enhance performance and efficiency
Development of REST APIs using frameworks such as Flask or FastAPI for seamless integration into business solutions
Familiarity with creating and utilizing synthetic datasets to improve model training and evaluation
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
JPMorganChase
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.
10001+ employees
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Allison Beer
CEO of Card Services and Connected Commerce
Dan Mendelson
CEO, Morgan Health
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