Almaty
Data scientist, with experience in classical Machine learning, Time series analysis, LLM, CV. Have experience in banking and industrial sectors.
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Almaty
Data scientist, with experience in classical Machine learning, Time series analysis, LLM, CV. Have experience in banking and industrial sectors.

Almaty / Office · 1,200,000 to 2,000,000 KZT Gross per month
BI Group is one of the largest developers in Central Asia. BI Group is expanding its internal AI engineering team to build business assistants, document and data automation, and production AI systems. Responsibilities: • Design, build, and ship AI agents and LLM-based tools, data pipelines, FastAPI APIs, dashboards, internal integrations, and monitoring. • Translate business problems into technical scope and communicate methods, results, and limitations in plain language. • Apply classical ML for scoring and forecasting, maintain data quality and freshness, and monitor production quality and drift. • Contribute to engineering standards, collaborate with analysts and data engineers, and mentor junior engineers. Requirements: • 4+ years of commercial Python development, including 2+ years in ML or applied AI. • LLM agents with LangGraph, RAG with vector databases such as Qdrant or Chroma, prompt engineering, and evaluation or observability with LangSmith, Langfuse, or similar tools. • Production AI/ML delivery, strong SQL and PostgreSQL, including data marts, materialized views, and query optimization. • Business stakeholder communication, code review, testing, Git, reproducible experiments, and documentation. Optional: • Classical ML with pandas, scikit-learn, gradient boosting, leak-free validation, and quality metrics including AUC, precision, recall, and calibration; Airflow or similar orchestration tools; Docker/Kubernetes; construction, industrial, or real estate analytics, or 1C data. • Fluent Russian and English sufficient to read technical documentation.

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!
just lmk and I hop straight into the action
DataVera LLC · Almaty, Kazakhstan
Combining ontologies with LLMs to extract, enrich and use formalized knowledge
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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