As an experienced Software Engineer, your mission is to help lead our team of innovators and technologists toward creating next-level solutions that improve the way our business is run. Your deep knowledge of design, analytics, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements.
Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit. And best of all, you’ll be able to harness massive amounts of brainpower through our global network of technologists from around the world.
The Machine Learning Software Engineer will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. The individual in this role will help in the design and development of ML solutions based on our reference architecture which is underpinned by big data (incl. streaming) technology, micro-service architecture and high performing compute infrastructure. An ideal candidate will have background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation
Expertise in application, data and infrastructure architecture disciplines
Advanced knowledge of architecture, design and business processes
Keen understanding of financial control and budget management
Ability to work collaboratively in teams and develop meaningful relationships to achieve common goal.:
Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open source libraries
Strong coding skills and fundamentals in data structures, predictive modeling and big data concepts
Experience in designing full stack ML solutions in a distributed compute environment
Experience working with Java, Python, Scala, Tensor Flow, Caffe, Sci-kit, SparkML
Excellent communication skills with multiple levels of the organization
Our Consumer & Community Banking Group depends on innovators like you to serve nearly 66 million consumers and over 4 million small businesses, municipalities and non-profits. You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.
When you work at JPMorgan Chase & Co., you’re not just working at a global financial institution. You’re an integral part of one of the world’s biggest tech companies. In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B+ annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world.
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Please note that J.P. Morgan will not accept unsolicited approaches or speculative CVs, nor will J.P. Morgan be responsible for any related fees, from Third Party Firms who are not preferred suppliers.
The firm invites all interested and qualified candidates to apply for employment opportunities.
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