Вакансии

• Developing and optimizing NLP models for specific tasks
• Working with the team to quickly generate and test hypotheses
• Fine-tuning and adapting open-source LLM models
• Constantly studying articles and applying the latest NLP advancements

• NLP and deep learning experience
• Python, PyTorch/TensorFlow, Git, Docker, SQL knowledge
• Experience with vector databases and bert-based architectures
• Knowledge of language models like GPT, Mistral, etc
• Model development and optimization for performance improvement

• Participation in ML competitions (Kaggle, hackathons)
• Experience in developing and optimizing models to improve performance (inference)

📧 sametova@beeline.kz

•Enhancing our sports analytics platform, which leverages smartphone cameras to capture and analyze detailed football match metrics
• Research & development in detection, tracking, and classification for football matches
• Design and implement robust algorithms to extract critical match metrics from video footage captured by smartphone cameras.
• Develop models for player identification, ball movement, and game events
• Continuously refine and optimize models for accuracy
• Optimize models for speed and robustness in real-world conditions

• Minimum B.Sc. degree in Computer Science or related field
• Proven experience in computer vision research and development
• Strong track record of implementing computer vision models
• Knowledge of computer vision libraries and frameworks
• Experience with deep learning techniques and architectures
• Familiarity with video processing and analysis techniques

📱 @Jungleb0b0 (please send your CV and relevant porfolio/github)

• Participation in main product development
• Project documentation development
• Direct involvement in AI model architecture development and tools enhancement

• Strong Python3 knowledge with PyTorch, TensorFlow, and data libraries
• AI model development experience (LSTM, Wavelet Analysis)
• Data collection and processing skills
• Mathematics expertise: linear algebra, analytical geometry, mathematical analysis, probability theory, statistics
• Wide range of tool familiarity

• Linux proficiency
• Gradio experience
• Matlab familiarity
• WFDB and Pickle data formats knowledge
• Modifying existing AI architectures and models

📱 @S_Anuar
📧anuar.s@rhythmus.kz