We know that people want great value combined with anexcellent experience from a bank they can trust, so we launched ourdigital bank, Chase UK, to revolutionise mobile banking withseamless journeys that our customers love. We're already trusted bymillions in the US and we're quickly catching up in the UK – buthow we do things here is a little different. We're building thebank of the future from scratch, channelling our start-up mentalityevery step of the way – meaning you'll have the opportunity to makea real impact. As a Principal MLOps Engineer at JPMorgan Chasewithin the International Consumer Bank, you provide deepengineering expertise and work across agile teams to enhance,build, and deliver trusted market-leading technology products in asecure, stable, and scalable way. You are expected to be involvedin the design and architecture of the solutions while also focusingon the entire SDLC lifecycle stages. Our Machine LearningOperations team is at the heart of this venture, focused on gettingsmart ideas into the hands of our customers. We're looking forpeople who have a curious mindset, thrive in collaborative squads,and are passionate about new technology. By their nature, ourpeople are also solution-oriented, commercially savvy and have ahead for fintech. We work in tribes and squads that focus onspecific products and projects – and depending on your strengthsand interests, you'll have the opportunity to move between them.Job Responsibilities: - Advise and lead development of tooling forAI/ML development and deployment. - Lead deployment and maintenanceof infrastructure, model monitoring and observability tools,providing an effective model development platform for datascientists and ML engineers. - Collaborate with machine learningmodel developers to bring ML models to production. - Mentor andlead a team of engineers focused on deploying machine learningpipelines at scale. - Partner with product, architecture, and otherengineering teams to define scalable and performant technicalsolutions. - Influence across business, product, and technologyteams and successfully manage senior stakeholder relationships. -Champion the firm’s culture of diversity, equity, inclusion, andrespect. Required Qualifications, Capabilities and Skills: - Formaltraining or certification on software engineering concepts andMLOps applied experience. - Experience with machine learningengineering and operations in a large enterprise. - Experience inbuilding, evaluating and deploying ML models into production. -Experience leading complex projects supporting system design,testing and operational stability. - Demonstrated prior experienceinfluencing across complex organizations and delivering value atscale. - Extensive practical cloud native experience. - Provenexpertise on adoption of agile practices to deliver efficiently andto the expected quality solutions. #J-18808-Ljbffr
