Mid-Level Machine Learning Engineer - Data Engineer II – Chase
Description For Mid-Level Machine Learning Engineer - Data Engineer II – Chase
At Chase UK, we're redefining digital banking by harnessing cutting-edge technology to deliver seamless, intuitive experiences for our customers. Our engineering team operates with a start-up mindset, empowered to shape the future of banking through scalable, reliable, and innovative solutions.
As a Mid-Level ML Engineer within the International Consumer Bank at JPMorgan Chase, you'll work alongside ML scientists, Data Engineers and software engineers to build, deploy, and maintain sophisticated machine learning solutions in production. You'll play a hands-on role in implementing ML pipelines, deploying models (including LLMs), and developing the supporting infrastructure that keeps our AI-driven products robust and scalable.
The role involves building and maintaining ML pipelines for deploying advanced models, collaborating with cross-functional teams, implementing monitoring systems, and writing efficient code. You'll work with containerization, orchestration technologies, and apply software engineering best practices throughout the ML lifecycle.
Key responsibilities include automating ML workflows, operationalizing deployments, implementing monitoring and logging, developing infrastructure as code, and contributing to team growth through knowledge sharing and mentoring.
We're looking for someone with strong software engineering skills, particularly in Python, with experience in deploying LLMs in production environments. You should be familiar with cloud-native environments, containerization, and infrastructure-as-code. Understanding of distributed systems and scalable API development is crucial.
This is an opportunity to shape the future of digital banking at one of the world's leading financial institutions. You'll work in an environment that combines the innovation of a startup with the resources and scale of a global bank. Join us to build next-generation AI solutions that transform how millions of customers interact with their finances.
J.P. Morgan offers a comprehensive benefits package and a culture that values diversity, continuous learning, and work-life balance. We're committed to fostering an inclusive environment where innovative thinking and collaboration are encouraged.
Responsibilities For Mid-Level Machine Learning Engineer - Data Engineer II – Chase
- Build, automate, and maintain ML pipelines for deploying advanced models, including large language models (LLMs), at scale
- Collaborate with data engineers, scientists and product owners to operationalize workflows
- Implement monitoring, logging, and alerting for AI services
- Write clean, maintainable, and efficient Python code for ML tooling
- Develop and maintain infrastructure as code (IaC)
- Work with containerization and orchestration technologies
- Apply software engineering best practices to ML lifecycle
- Troubleshoot and optimize ML workflows
- Engage in cross-functional squads
- Contribute to team growth by sharing knowledge and mentoring
Requirements For Mid-Level Machine Learning Engineer - Data Engineer II – Chase
- Strong software engineering background, with deep proficiency in Python
- Demonstrated experience deploying and maintaining LLMs in production environments
- Familiarity with frameworks and tooling for LLMs and generative AI
- Experience operationalizing ML solutions in cloud-native environments
- Proficiency with containerization and orchestration
- Practical experience with infrastructure-as-code
- Understanding of concurrency, distributed systems, and scalable API development
- Experience with version control and CI/CD pipelines
- Strong problem-solving skills and attention to detail
- Experience working in agile, product-driven engineering teams
Jobs Related To JPMorgan Chase Mid-Level Machine Learning Engineer - Data Engineer II – Chase
