AI Engineering: Data Scientist/Machine Learning Engineer

Profile

AI Engineering: Data Scientist/Machine Learning Engineer','200029221','!*!JPMorgan Chase (JPMC) is a leading global financial services firm with assets of $2 trillion and operations in more than 60 countries. It is on the transformation journey to be a client-centric technology driven company over the last few years. With an annual tech budget of $10B , it has started significantly investing and building in the next generation core infrastructure, data and AI technology.   As the next push into this investment, JPMC Silicon Valley is hiring the best talents to join the newly-formed AI engineering team. We are executing like a startup and building the next generation technology that combines JPMC unique data and full service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for people who are excited about the opportunity.     Responsibilities • Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions. • Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. • Lead a team of engineers to build products and deliver solutions, depending on previous architecture and technical leadership experience. • Design and implement highly scalable and reliable data processing pipelines and perform analyses and insights to drive and optimize business result.    ','!*!Minimum Qualifications • BS, MS or PhD degree in Computer Science or related quantitative field. • Solid programming skills with C/C , Java, Python or other equivalent languages. • Deep knowledge in Machine Learning, Data Mining, Information Retrieval, Statistics. • Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. • Major machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. • Experience in ETL pipelines, both batch and real-time data processing. • Strong analytical and critical thinking skills. • Self-motivation, great communication skills and team player. Preferred Qualifications • Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. • Experience in big data technologies: Hadoop, Hive, Spark, Kafka. • Experience in distributed system design and development   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. At JPMorgan Chase & Co. we value the unique skills of every employee, and we’re building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If you’re looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you. ','JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.','Data Scientist','US-NJ-Jersey City-NOC 5 / 02969','','CORPORATE SECTOR','Full-time','Standard','Day Job','','JPMorgan Chase','JPMorgan Chase','AI Engineering: Data Scientist/Machine Learning Engineer

Company info

JPMorgan Chase & Co,
Website : http://www.jpmorganchase.com