T-Bank's AI Center develops cutting-edge AI technologies and products. Their work spans various areas, including large language models (focused on specific applications, not general-purpose models like GPT), computer vision for automating tasks, recommendation systems, speech technologies for voice interfaces, and anti-fraud solutions. They also conduct significant research, publishing findings in top conferences, and actively engage in education initiatives through university partnerships and student labs.
• computer vision
• recommendation systems
• large language models
• speech technologies
• anti-fraud technologies
Преподаватель Data Engineering в Центральный университет
T-Bank's AI Center develops and deploys AI technologies across various applications, from large language models to anti-fraud systems.
Benefits:
Platform for learning and development
Courses, trainings, webinars, and knowledge bases
Support from mentors and supervisors
Assistance in finding growth points and career development
Range of preferential rates on T-Bank products
Experience Requirements:
Experience as an analyst-developer or data engineer
Ability to select the optimal technology stack for the project
Knowledge of SQL and Python
Understanding of algorithms and optimization
Understanding of data model construction frameworks
Other Requirements:
Desire to teach and mentor
Responsibilities:
Create a training program with the academic director
Assemble the teaching staff
Create training materials: tasks, texts, presentations
Regularly conduct classes with students
Monitor the quality of classes conducted
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Senior ML-инженер в Центр технологий искусственного интеллекта
T-Bank's AI Center develops and deploys AI technologies across various applications, from large language models to anti-fraud systems.
Benefits:
Work in the office or remotely - by agreement
T-Bank Upgrade learning and development platform
Health care. We will issue a DMS policy with dentistry and accident insurance. We will offer preferential insurance to your relatives
The ability to work in an accredited IT company
A range of preferential rates on T-Bank products
Experience Requirements:
Experience in developing ML models using modern DL frameworks (Pytorch, Jax/Tensorflow, and others) and their application in production
Understanding the principles of modern machine learning algorithms
Knowledge of Python
Ability to decompose a task into reusable and testable libraries and components
Knowledge of theory in the field of mathematics, applied statistics, algorithms, and data structures
Other Requirements:
Willingness to study scientific articles in English and conduct experiments based on what you read
Knowledge of Linux, Git, Bash, and Docker
Responsibilities:
Study scientific articles, generate hypotheses, conduct experiments based on them, and communicate the results to the team
Improve the quality of models in various scenarios
Accelerate model operation using modern optimization and architecture construction methods
Write reproducible code, format experiments into reproducible pipelines, including data labeling and processing, model training, and system validation as a whole
Show more details
ML-инженер в Центр технологий искусственного интеллекта
T-Bank's AI Center develops and deploys AI technologies across various applications, from large language models to anti-fraud systems.
Benefits:
Work in the office or remotely - by agreement
T-Bank Upgrade learning and development platform
Health care. We will issue a DMS policy with dentistry and accident insurance. We will offer preferential insurance to your relatives
The ability to work in an accredited IT company
A range of preferential rates on T-Bank products
Experience Requirements:
Experience in developing ML models using modern DL frameworks (Pytorch, Jax/Tensorflow, and others) and their application in production
Understanding the principles of modern machine learning algorithms
Knowledge of Python
Ability to decompose a task into reusable and testable libraries and components
Knowledge of theory in the field of mathematics, applied statistics, algorithms, and data structures
Other Requirements:
Willingness to study scientific articles in English and conduct experiments based on what you read
Knowledge of Linux, Git, Bash, and Docker
Responsibilities:
Study scientific articles, generate hypotheses, conduct experiments based on them, and communicate the results to the team
Improve the quality of models in various scenarios
Accelerate model operation using modern optimization and architecture construction methods
Write reproducible code, format experiments into reproducible pipelines, including data labeling and processing, model training, and system validation as a whole
Show more details
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