We know that people want great value combined with an
excellent experience from a bank they can trust, so we launched our
digital bank, Chase UK, to revolutionise mobile banking with
seamless journeys that our customers love. We're already trusted by
millions in the US and we're quickly catching up in the UK – but
how we do things here is a little different. We're building the
bank of the future from scratch, channelling our start-up mentality
every step of the way – meaning you'll have the opportunity to make
a real impact. As a Principal MLOps Engineer at JPMorgan Chase
within the International Consumer Bank, you provide deep
engineering expertise and work across agile teams to enhance,
build, and deliver trusted market-leading technology products in a
secure, stable, and scalable way. You are expected to be involved
in the design and architecture of the solutions while also focusing
on the entire SDLC lifecycle stages. Our Machine Learning
Operations team is at the heart of this venture, focused on getting
smart ideas into the hands of our customers. We're looking for
people who have a curious mindset, thrive in collaborative squads,
and are passionate about new technology. By their nature, our
people are also solution-oriented, commercially savvy and have a
head for fintech. We work in tribes and squads that focus on
specific products and projects – and depending on your strengths
and interests, you'll have the opportunity to move between them.
Job responsibilities: - Advise and lead development of tooling for
AI/ML development and deployment. - Lead deployment and maintenance
of infrastructure, model monitoring and observability tools,
providing an effective model development platform for data
scientists and ML engineers. - Collaborate with machine learning
model developers to bring ML models to production. - Mentor and
lead a team of engineers focused on deploying machine learning
pipelines at scale. - Partner with product, architecture, and other
engineering teams to define scalable and performant technical
solutions. - Influence across business, product, and technology
teams and successfully manage senior stakeholder relationships. -
Champion the firm’s culture of diversity, equity, inclusion, and
respect. Required qualifications, capabilities and skills - Formal
training or certification on software engineering concepts and
MLOps applied experience. - Experience with machine learning
engineering and operations in a large enterprise. - Experience in
building, evaluating and deploying ML models into production. -
Experience leading complex projects supporting system design,
testing and operational stability. - Demonstrated prior experience
influencing across complex organizations and delivering value at
scale. - Extensive practical cloud native experience. - Proven
expertise on adoption of agile practices to deliver efficiently and
to the expected quality solutions. #ICBCareer #ICBEngineering
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