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World NLP / LLM – kitchen kitchen AI ML – Automatic Learning Center for Excellence
The Center for Excellence in Automatic Learning calls on a successful candidate to apply advanced machine learning methods to a wide range of complex tasks including the treatment of natural language, speech analyzes, temporal chain, reinforcement learning, and recommendation.
The candidate must excel in work in a very cooperative environment with business, technicians and control partners in spreading production solutions. The candidate must also have a strong passion for machine learning and investing an independent time towards learning, research and experience with new innovations in this field. The candidate must have a strong experience in deep learning with the practical implementation experience and have a strong analytical thinking, and a deep desire for learning and very excited.
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.
• Developing technical learning models to solve realistic problems and apply them to tasks such as NLP, identify speech and analyzes, or the predictions of time chains or recommendations 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
• A solid background in NLP or recognition of speech and analyzes, allocation/recommendation, practical experience, and a strong understanding of machine learning and deep learning methods
• Doctorate in quantitative discipline, for example, computer science, electrical engineering, mathematics, process research, improvement, or data science with reasonable experience in industry, or multiple nervous sclerosis with an important important or research experience in this field
• 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. To learn how to use us from artificial intelligence/mm to pay the transformational change, please read this blog: https://www.jpmorgan.com/insights/technology/technology-blog?
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.
a company:
Chis- candidate experience page
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Experience level (years):
Senior (5 years of experience)
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📰 Published by #World
Via Alexander Raginsky on 2025-09-19 05:30:00
✨ Jobs – NLP People
revealed World of
📌
World NLP / LLM – kitchen kitchen AI ML – Automatic Learning Center for Excellence
The Center for Excellence in Automatic Learning calls on a successful candidate to apply advanced machine learning methods to a wide range of complex tasks including the treatment of natural language, speech analyzes, temporal chain, reinforcement learning, and recommendation.
The candidate must excel in work in a very cooperative environment with business, technicians and control partners in spreading production solutions. The candidate must also have a strong passion for machine learning and investing an independent time towards learning, research and experience with new innovations in this field. The candidate must have a strong experience in deep learning with the practical implementation experience and have a strong analytical thinking, and a deep desire for learning and very excited.
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.
• Developing technical learning models to solve realistic problems and apply them to tasks such as NLP, identify speech and analyzes, or the predictions of time chains or recommendations 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
• A solid background in NLP or recognition of speech and analyzes, allocation/recommendation, practical experience, and a strong understanding of machine learning and deep learning methods
• Doctorate in quantitative discipline, for example, computer science, electrical engineering, mathematics, process research, improvement, or data science with reasonable experience in industry, or multiple nervous sclerosis with an important important or research experience in this field
• 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. To learn how to use us from artificial intelligence/mm to pay the transformational change, please read this blog: https://www.jpmorgan.com/insights/technology/technology-blog?
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.
a company:
Chis- candidate experience page
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Experience level (years):
Senior (5 years of experience)
Tags: Read more at: Written by
Via #World
📰 Published by Alexander Raginsky on 2025-09-19 05:30:00
Source Feed: Jobs – NLP People