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just lmk and I hop straight into the action
Almaty
### Software engineering graduate, with Embedded Systems, DevOps, Web-development experience ### Arch Linux user ### Native Russian speaker / IELTS Band 7 / HSK 4

Remote · 1,000,000 to 1,500,000 KZT NET per month
AI platform for communication. Responsibilities: • Develop, fine-tune, evaluate, and implement generative models for image, video, text, and multimodal applications. • Build scalable data, training, evaluation, real-time inference, and MLOps pipelines; optimize latency, throughput, memory usage, quality, and infrastructure costs. • Integrate models into production systems, automate deployment and monitoring, and research and assess generative AI methods for production use. Requirements: • 3+ years of professional machine learning and software development experience; practical experience developing or deploying generative AI models; deep understanding of diffusion models and modern image or video-generation architectures; experience with LLM prompt engineering, fine-tuning, evaluation, structured outputs, tool invocation, and behavior management; PyTorch or TensorFlow; productionizing models and operating reliable inference services; deployment on GPU servers and cloud platforms;- Optional: • Experience with preference optimization methods such as RLHF, DPO, or reinforcement learning; constrained decoding, function calling, agent systems, safety mechanisms, red-team testing, and automated LLM evaluation; multimodal models; video-generation quality improvements; GPU optimization; MLOps platforms, model registries, experiment tracking, observability, CI/CD, and infrastructure as code.

Asel Yermekova has compiled Awesome Kazakh Datasets—a large, carefully structured collection of open datasets for the Kazakh language. It brings together data for: • NLP and LLM: QA, RAG, instruction tuning, NER, machine translation, and other tasks • speech: ASR, TTS, speech translation, emotion recognition • computer vision, OCR, and multimodal tasks For each dataset, the collection lists its size, scale, task, release year, and download link. It also separately marks resources that were announced but could not yet be independently verified. Repositories like this make life much easier: instead of spending hours searching, you can quickly see what Kazakh-language data already exists and what you can use for your research or product. If you know of a dataset that is not yet on the list, the repository is open for contributions: 🔗 https://github.com/Allessyer/awesome-kaz-datasets Thanks to Asel for this work, and to Alen Issayev for helping develop it!
Nazarbayev University · Astana
Research and simulations of PDE problems by using Fourier Neural Operator's architecture of neural networks.
Stay updated with the latest global AI and community news

Asel Yermekova compiled a structured collection of open Kazakh-language datasets for NLP, speech, and computer vision.
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Kazakhstan’s team won 2 gold, 2 silver and 4 bronze medals at IOAI. Dauzhan Beketov placed second overall.
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Kazakhstan’s team took part in the opening of IOAI 2026. The delegation includes eight participants and two coaches.
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