The main Data & Analytics office (CDAO) is in JPMorgan Chase responsible for accelerating the company’s trip and analyzes. This includes ensuring the quality of the company’s data, integrity and security of the company’s data, as well as taking advantage of these data to create visions and pay decisions. CDAO is also responsible for developing and implementing solutions that support the company’s commercial goals by harnessing artificial intelligence technologies and machine learning to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As the AI ​​ML Applied Director – NLP / LLM and graphic fees within the main data and analyzes, the Automated Educational Excellence Center, you will have the opportunity to apply advanced machine learning methods to complex tasks including natural language processing, graph analyzes, speech analysis, time chains, learning systems and reinforcement recommendations. You will collaborate with various teams and participate actively in the community of sharing our knowledge. We are looking for a person who excels in a very cooperative environment, and works with our actions, technicians and control partners in spreading solutions in production. If you have a strong passion for machine learning and enjoying the investment time towards learning, research and experimenting with new innovations in this field, this role is yours. We appreciate strong experience in deep learning with practical implementation experience, strong analytical thinking, and a deep desire for learning and a higher motivation.

Job responsibilities
• Research and exploring new automatic learning methods through an independent study, attending the leading conferences in the industry, experimentation and participation in the participation of our knowledge.
• Development of technical learning models to solve the real world problems and apply them to tasks such as the treatment of natural language (NLP), identification of speech and analyzes, temporal forecasts or recommendation systems
• Cooperation with multiple partner teams such as business, technology, products management, legal, compliance, strategy and business management to spread solutions in production
• Paying the company’s extensive initiatives by developing large -scale business frameworks to accelerate the application of automated learning models through various areas of work

Qualifications, capabilities and skills required
• PhD in quantitative discipline, for example, computer science, electrical engineering, mathematics, process research, improvement, data science or multiple sclerosis with large years of experience in industry or research in this field.
• Solid background in NLP, LLM and Graph Experience analyzes, practical experience, powerful understanding of machine learning and deep learning methods
• Extensive experience with identical learning and deep learning tool groups (for example: Tensorflow, Pytorch, Numby, Scikit-Learn, Pandas)
• The ability to design experiments and training frameworks, and develop and evaluate the fundamental and external measures of the typical performance that is compatible with the goals of the work
• Experience in large data and training on developable models and written and solid communications to communicate effectively concepts and results for both technical and commercial audiences.
• Scientific thinking with the ability to invent and work independently and in the environments of the high cooperative team
• Written and solid communications to communicate the concepts and technical results effectively for both technical and commercial masses. My curiosity works hard and directed towards the details, and its defense with complex analytical problems

Favorite qualifications, capabilities and skills:
• A strong background in mathematics, statistics and familiarity with financial services industries, continuous integration models and the development of the unit test
• Knowledge in research/arrangement, learning, promotion, or descriptive learning
• Experience in the A/B experimentation, the development of data -based products, the original cloud publishing in a wide -scale environment and the ability to develop and correct the production quality code
• Research published in the areas of machine learning, deep learning, or reinforcement learning at a major conference or magazine

About mlcoe
McLOE Automatic Team Center throughout the company to create and share automated learning solutions for our most challenging commercial problems. In this role, it will work and cooperate with a team consisting of a multidisciplinary expert community that focuses exclusively on machine learning. In this team, it will work with advanced techniques in specializations such as deep learning and reinforcement learning

For more information about MLCOE, please visit http://www.jpmorgan.com/mlcoe.

a company:

Chis- candidate experience page

Qualifications:

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Specific requirements:

Educational level:

Experience level (years):

Senior (5 years of experience)

Seasoning as follows: Big dataand industryand Natural language processingand NLPand Learn about speechand UK