Step into a fast-growing area of Cybersecurity at JPMorgan Chase, where you can help build and deploy machine learning solutions that directly support Cyber Operations. In this role, you'll work independently and apply your skills in data analysis, statistics, and data engineering to deliver machine learning models that drive real business outcomes. You'll join a global Cybersecurity team, collaborating with technologists and innovators who protect our assets every day.

As an ML Ops Engineer within Corporate Sector in Cybersecurity & Tech Controls team, you will deploy, monitor, and manage machine learning models in production environments using the latest technologies. You'll automate model deployment, optimize infrastructure, and ensure AI systems perform reliably and efficiently. Your collaboration with cross-functional teams and your problem-solving skills will help drive innovation and deliver impactful AI solutions.

Job responsibilities

• Work closely with data scientists and software engineers to integrate machine learning models into applications.
• Deploy machine learning models into production, ensuring they are scalable, reliable, and efficient.
• Build and maintain CI/CD pipelines to automate testing, deployment, and updates for machine learning models.
• Manage and optimize infrastructure for running models, including cloud services, Docker, and Kubernetes.
• Set up monitoring and logging to track model performance, detect anomalies, and ensure smooth operation.
• Maintain version control for models and data, supporting traceability and compliance.
• Apply security best practices and ensure models meet regulatory standards.

Required qualifications, capabilities, and skills

• Bachelor's degree in Computer Science, Engineering, or a related field, with relevant ML Ops experience.
• Experience deploying and managing machine learning models in production environments.
• Skilled in building and maintaining CI/CD pipelines for machine learning workflows.
• Proficient with cloud platforms (AWS, Google Cloud, Azure) and containerization tools (Docker, Kubernetes).
• Familiar with monitoring and logging tools (Prometheus, Grafana, ELK Stack).
• Advanced Python programming skills.
• Strong problem-solving skills and attention to detail.
• Effective communicator, able to collaborate with cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, or a related field, with relevant ML Ops experience.

Preferred qualifications, capabilities, and skills

• Experience deploying and managing large-scale machine learning models in production.
• Ability to monitor models in production and address performance and data quality issues.
• Working knowledge of security best practices and compliance standards for ML systems.
• Experience optimizing infrastructure for performance and efficiency.
• Developed REST APIs using frameworks like Flask or FastAPI.
• Familiarity with synthetic datasets for model training and evaluation.

ABOUT US

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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 for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

The Cybersecurity & Technology Controls group at JPMorgan Chase aligns the firm's cybersecurity, access management, controls and resiliency teams. The group proactively and strategically partners with all lines of business and functions to enable them to design, adopt and integrate appropriate controls; deliver processes and solutions efficiently and consistently; and drive automation of controls. The group's number one priority is to enable the business by keeping the firm safe, stable and resilient.

High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.