There's nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.

The Aumni team at JPMorgan Chase is looking for a Lead MLOps engineer to help us build out a team to manage our core model hosting, deployment, and monitoring infrastructure in AWS .

A Lead MLOps Engineer within the Digital Private Markets department will help us solve complex and broad business problems with practical and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, and monitor the systems and models produced by our data science teams.

You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability in the AI/ML space. You also will serve as a leader and mentor to junior engineers as the team works to enable the downstream Data Science and ML Engineering teams as they execute on our product roadmap.

Job responsibilities

• Develops and maintains infrastructure as code to support Data Science and Machine Learning initiatives
• Designs and implements automated continuous integration and continuous delivery pipelines for the Data Science teams to develop and train AI/ML models
• Mentors junior MLops engineers and Data Scientists, setting standards for model deployment and maintenance
• Leads technical discussions with developers, key stakeholders, and team members to resolve complex technical problems
• Builds technical roadmaps in collaboration with senior leadership and identifies risks or design optimizations
• Proactively resolve issues before they impact internal and external stakeholders of deployed models
• Champions the adoption of MLOps best-practices within your team
• Optimizes workloads for production and manages performance and observability for these workloads

Required qualifications, capabilities, and skills

• Experience serving as a technical leader and mentor for teams in the MLops space
• Formal training or certification on MLOps concepts and/or 5 years applied experience. Has managed the deployment of models in production environments.
• Excellent communication skills and the ability to explain technical concepts to non-technical audiences
• Practical knowledge of MLOps culture and principles; familiarity with how to scale these ideas to support multiple data science teams
• Can articulate the importance of monitoring and observability in the AI/ML space. Enforces its implementation & use across an organization
• Domain knowledge of machine learning applications and technical processes within the AWS ecosystem.
• Extensive expertise with Terraform, containers and container orchestration, especially Kubernetes
• Knowledge of continuous integration and continuous delivery tools like Jenkins, GitLab, or Github Actions & associated best practices
• Expert level in the following programming languages: Python, Bash
• Deep working knowledge of DevOps best practices, Linux, and networking internals
• Understanding of the different roles served by data engineers, data scientists, machine learning engineers, and system architects, and how MLOps contributes to each of these workstreams
• Ability to work with a geographically distributed team across multiple timezones

Preferred qualifications, capabilities, and skills

• Comfortable with team management, fostering collaboration, promoting design patterns, and presenting technical concepts to non-technical audiences
• Understands how to break down large concepts and goals into smaller requirements and train junior engineers on how to execute against these requirements
• Experience with ML model training and deployment pipelines, managing scoring endpoints in the financial industry
• Familiarity with observability concepts and telemetry collection using tools such as Datadog, Grafana, Prometheus, Splunk, and others
• Experience working with ML engineering platforms such as Databricks and Sagemaker
• Experience working with Data Engineering technologies such as Snowflake and Airflow
• Comfortable troubleshooting common containerization technologies and issues
• Ability to identify new technologies and relevant solutions to improve design patterns where appropriate
• An understanding of the nuances of managing GPU specific workloads
• AWS Solutions Architect certification or equivalent experience

About Us
JPMorgan Chase & Co., 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. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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 is an Equal Opportunity Employer, including Disability/Veterans