Director Applied AI ML

Found in: Talent IN C2 - 2 weeks ago

Hyderabad, India JPMorgan Chase & Co. Full time

Join JPMorgan's transformation into a technologically advanced, client-centric company. We're investing in cutting-edge infrastructure, data, and AI technology and are seeking top talent for our AI engineering team. Our mission is to incorporate machine learning into our key customer products, working closely with our engineering and technology partners. Candidates should have a strong computer science background and be ready to manage comprehensive projects. This role provides a unique opportunity to make a significant impact on the financial services industry.

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. 

The Digital Intelligence team’s mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical and wide-range customer products. The number of products and practice areas is large and far-reaching, . we work on products that are impactful to our millions and millions of customers and households. We work closely with our engineering and technology partners to deploy solutions to reach out customers. We value our customers’ direct feedback and function in a truly agile way to incorporate changes to improve application experience. As the next push into this investment, JPMC 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.

As a Director Applied AI ML within the Digital Intelligence team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant technology and business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.

Job 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. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.

 Required qualifications, capabilities and skills: 

MS with 10+ years of experience or PhD with 7+ years of experience and a degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Java, Python or other equivalent languages. Deep knowledge in Data structures, Algorithms, 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. Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Strong analytical and critical thinking skills. Self-motivation, great communication skills and team player.

Preferred qualifications, capabilities and skills :

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

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