ML-разработчик в бригаду развития автотаргетинга

#vacancy #TechLead #NLPEngineer #LLM #MachineLearning #Inference #GenAI #Remote

Tech Lead NLP Engineer | LLM Inference | Remote

Возглавьте техническое развитие NLP в AI-продукте, где большие языковые модели уже работают в production. Компания развивает платформу для персонализированного общения с AI-персонажами, дообучает open-source модели и работает с LLM до 1T параметров.

Чем интересна роль
• Около 70% времени - hands-on engineering, без Project/People Management
• Оптимизация скорости, стоимости и стабильности inference больших LLM
• Distributed inference на multi-GPU / multi-node инфраструктуре: 32×H200 + AWS
• Training и post-training LLM, развитие agent architectures
• Техническое лидерство NLP/CV-команды и перспектива роста до Head of ML
• Сильная команда, высокое вознаграждение, удаленно

Роль для вас, если
• Есть production-опыт оптимизации LLM inference: SGLang / vLLM / TensorRT-LLM
• Работали с distributed inference/training больших моделей: MoE, tensor/expert/pipeline parallelism, multi-node GPU
• Сильны в KV cache, attention kernels, batching, quantization, GPU profiling
• Есть опыт training/fine-tuning и post-training: RLHF, DPO или аналоги
• Уверенно работаете с PyTorch / Transformers
• English В2+

Полное описание ••••••••
Отклик и вопросы ••••••••

AI / ML Specialist
UDP RK
750,000 to 1,300,000 KZT Gross per month
Astana / Office

IT support for government agencies, including the Executive Office of the President, Prime Minister’s Office, Department of Presidential Affairs, and Constitutional Court.

Responsibilities:
• Analyze data and select architectures for model training
• Test new approaches and deploy models to production
• Set up offline environments and integrate local LLMs

Requirements:
• Proficient in Python and ML tools (Pandas, Scikit-learn, PyTorch/TensorFlow)
• Understanding of mathematics and statistics for algorithms
• Experience with NLP, CV, or LLM architectures
• Ability to package solutions in Docker
• Basic Linux knowledge and API development experience
• Willingness to work offline in a secure environment

••••••••

Senior Machine Learning Engineer
MiraiTech
750,000 to 1,500,000 KZT NET per month
Astana / Office

MiraiTech is a SportTech startup developing an AI platform for biomechanical athlete analysis with proprietary sensors, scaling from R&D to production.

Responsibilities:
• Develop, validate, and deploy ML/DL models in production
• Work with time-series and multimodal sensor data
• Build data-processing, inference, monitoring, versioning, and retraining pipelines
• Improve model accuracy, robustness, latency, and efficiency
• Collaborate on experiments, data collection, and sensor integration

Requirements:
• 3+ years of commercial Machine Learning experience
• Strong Python and Deep Learning skills
• Experience with time series, PyTorch/TensorFlow, and ML evaluation
• Production ML deployment experience
• Experience with APIs and data pipelines
• Familiarity with Docker, databases, cloud, and GPU workloads
• Ability to drive ML tasks from experimentation to production

••••••••