Executive Director Machine Learning Engineer-MLOps

We are looking for a Senior MLOps engineer to work closely with Data Scientists

to build and deploy ML models on a modern MLOps stack.

As an Executive Director Machine Learning Engineer on the Recommendation Engine

team, you’ll implement fine-tuning and reinforcement learning algorithms on

large compute clusters, build and run real-time and batch model serving systems,

hyper-parameter tuning at scale, model monitoring, production validation and

other activities vital for model development, testing and deployment in a

well-managed, controlled environment.

Our product, Personalization and Insights, builds and supports high throughput,

low latency applications which leverage state of the art machine learning

architectures, and which are deployed in AWS. These applications power

personalized experiences across Chase Consumer & Community Banking channels, to

help weave a user experience that includes traditional banking services with

other services in the Travel, Merchant Offer Shopping, and Dining spaces.

Job responsibilities

* Build, deploy, and maintain robust pipelines for distributed training on

GPU-enabled clusters to support scalable machine learning workflows.

* Develop and manage high-volume real-time and batch inference systems,

ensuring optimal performance and reliability.

* Implement quantization techniques and deploy open-weight large language

models (LLMs) on modern serving stacks such as vLLM on Ray to maximize

efficiency and resource utilization.

* Oversee the management and optimization of vector databases to support

advanced AI and machine learning applications.

* Establish and maintain comprehensive monitoring and observability pipelines

to ensure system health, performance, and rapid issue resolution.

* Collaborate with cross-functional teams to integrate new technologies and

continuously improve existing infrastructure.

* Partner with product, architecture, and other engineering teams to define

scalable and performant technical solutions.

Required qualifications, capabilities, and skills

* BS in Computer Science or related Engineering field with 10+ years of

experience Or MS degree in Computer Science or related Engineering field with

6+ years experience.

* Solid knowledge and extensive experience in Python or in cloud computing and

AWS.

* Understanding of quantization techniques such as PTQ, AWQ etc. used to

quantize LLMs for accelerating inference on specific GPU architectures

* Solid understanding of Transformer models and challenges involved in serving

large transformer-based models

* Solid understanding of ML training, especially latest reinforcement learning

algorithms such as GRPO and DAPO

* Experience in systems engineering fundamentals: caching, CUDA, autoscaling,

high throughput, low latency, x-region resilient applications

* Deep knowledge and passion for data science fundamentals, training and

deploying models

* Experience in monitoring and observability tools to monitor model

input/output and features stats

* Solid grounding in engineering fundamentals and analytical mindset

Preferred qualifications, capabilities, and skills

* Experience with recommendation and personalization systems is a plus.

* CUDA experience is a big plus

* Solid fundamentals and experience in containers (docker ecosystem), container

orchestration systems [Kubernetes, ECS]

* Experience with Ray, vLLM, RL libraries such as verl/trl

* Good knowledge of Databases

(i) This position is subject to Section 19 of the Federal Deposit Insurance Act.

As such, an employment offer for this position is contingent on JPMorganChase’s

review of criminal conviction history, including pretrial diversions or program

entries.

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build

competitive advantages for the businesses while providing value and protection

for customers. The team encompasses a variety of disciplines from data

governance and strategy to reporting, data science and machine learning. We have

a strong partnership with Technology, which provides cutting edge data and

analytics infrastructure. The team powers Chase with insights to create the best

customer and business outcomes.