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Almaty
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Remote · 1,200,000 to 1,600,000 KZT NET per project
KAI is an IT academy that has been training specialists in technology and digitalization since 2013, with over 5,000 graduates. The course covers topics such as RAG and vector storage, MCP and AI agents, LLM and model fine-tuning, data and document handling, Evals, and CI/CD. Responsibilities: • Lead one or more modules of the AI Engineering course • Share practical experience in AI Engineering Requirements: • Experience with LLM and AI projects • Proficient in Python • Understanding of production development • Ability to explain complex concepts clearly

NeurIPS 2026 is coming, with the Competition Track featuring 16 competitions on various topics: • Scientific AI, Physics & Engineering: Learn2Design, Smart Buildings, Fusion Equilibrium, RealPDE, FAIR Universe Weak Lensing. • Healthcare/Bio: SimulacraBench, AMP Challenge, Speech Accessibility Project Challenge 2, Virtual Embryo. • Foundation Models, Reasoning & AI Evaluation: Steerability, Predictive AI Evaluation, AIMO Interpretability, QuantiPhy. • Robotics, Agents & Embodied AI: RoboSyn, RoCo-Spring, Agenthon for qunatitative finance Several more competitions will take place as part of workshops: EEG/EMG Foundation Challenge, AV Causal Reasoning Retrieval Challenge, Lean Refactor Arena, AgentOdyssey. Most competitions run in September and October. It is a great opportunity for anyone interested—including school students and people outside research—to tackle frontier problems faced by top labs, publish a paper about their solution, and attend the largest AI conference.
Nazarbayev University · Almaty, Kazakhstan
Currently focused on AI in medicine, especially on detection abnormalities in medical images
am a Python/Django backend developer transitioning into Machine Learning. I am looking to meet ML engineers, mentors, or hiring managers. Advice on my learning path, or leads for junior/intern roles, would be incredibly helpful.
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NeurIPS 2026 will feature 16 competitions in scientific AI, healthcare, foundation models, robotics and other fields.
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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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