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Trabajos de AIMoLdin - Ciencia de los Datos
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Vacantes en ciencia de datos Kazajstán y el mundo.
Vacantes en ciencia de datos Kazajstán y el mundo.
Vacantes en Ciencia de Datos con indicación salarial en Kazajstán y en todo el mundo.


Senior CV / ML Engineer ITS Partner 3,000 to 4,000 USD Gross per month Almaty or Astana / Office ITS Partner is an IT outsource operating in IoT Industry. Responsibilities: • Design and train ML/CV models • Develop algorithms for video and audio processing • Implement solutions on cloud infrastructure and edge devices • Collaborate with engineering teams for deployment • Partner with data engineers on dataset preparation Requirements: • Expertise in computer vision and machine learning • Industrial development experience (company/startup) • Deep learning frameworks (TensorFlow, PyTorch, MXNet) • OpenCV • Knowledge of state-of-the-art methods: CNNs, SVM, object tracking, video/audio analytics • Fluent in C++ and/or Python • Experience with Git • Strong communication skills • Ability to work independently DSML Apply
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AI Engineer (Middle/Senior) Kazakhtelecom JSC 1,300,000 to 1,900,000 KZT NET per month Astana / Office Kazakhtelecom JSC is a leading telecommunications company in Kazakhstan, developing a corporate AI-agent platform with RAG assistants for internal documents and business processes. Responsibilities: • Build AI agents from concept to production, including LangGraph workflows, RAG systems, prompts, tool/function calling, external integrations, and streaming LLM applications. • Develop backend services with FastAPI/async, PostgreSQL/SQLAlchemy, Celery/Kafka, and write tests; assess quality and resolve production issues. Requirements: • Strong Python development and practical LangGraph experience. • Experience building LLM applications and RAG systems with embeddings, vector search, relevance assessment, Qdrant, and hybrid/dense/sparse search. • Git, REST, asynchronous backend development, and independent task completion. • Familiarity with LiteLLM/vLLM and local models such as Qwen or Gemma. DSML Apply
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ML Engineer METEOR 1,000,000 to 1,500,000 KZT NET per month Remote AI platform for communication. Responsibilities: • Develop, evaluate, and deploy 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 machine learning and software development experience, including generative AI models. • Deep understanding of diffusion and modern image/video-generation architectures. • Experience with LLM prompting, fine-tuning, evaluation, structured outputs, and tool use. • Proficiency in PyTorch or TensorFlow and production model deployment on GPUs or cloud platforms. DSML Apply
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ML Engineer (Face Biometrics / Computer Vision / AI Security) Biometric.Vision 2,000,000 to 4,000,000 KZT NET per month Almaty / Office Biometric.Vision develops production-grade AI solutions for Face Biometrics, Digital Identity, KYC, AML, Fraud Prevention, and Identity Verification. Responsibilities: • Develop Face Biometrics and Identity Verification solutions, including Face Verification, Liveness, Anti-Spoofing, and Deepfake Detection. • Build and maintain production ML/CV systems and pipelines; optimize models for high-load systems and large datasets. Requirements: • Experience with Face Biometrics, KYC, Identity Verification, or Anti-Fraud; strong Computer Vision and Deep Learning skills. • Proficiency in Python and PyTorch and/or TensorFlow; experience with production ML/CV systems. • English proficiency from B2. DSML Apply
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AI Engineer Til-Qazyna National Scientific and Practical Center 600,000 to 700,000 KZT Gross per month Astana / Office Til-Qazyna develops digital and AI infrastructure for the Kazakh language, including linguistic tools, corpora, and open-source models. Responsibilities: • Fine-tune and evaluate open-source Kazakh LLMs using LoRA, QLoRA, and PEFT. • Develop NLP components such as morphological analyzers, lemmatizers, tokenizers, and terminology parsers. • Build text-crawling, cleaning, deduplication, synthetic-data, and dataset-curation pipelines. • Deploy NLP models as Docker/FastAPI services and optimize inference. Requirements: • 1+ years’ NLP, AI, or machine-learning engineering experience. • Knowledge of Transformers, embeddings, tokenization, PyTorch, Hugging Face, and Scikit-learn. • Experience preprocessing structured and unstructured text. • Practical Docker, Linux, and Git skills. • Degree in Computer Science, Data Science, or Applied Mathematics. DSML Apply
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Academic Director ML School Kazakhstan, powered by YSDA 1,300,000 to 1,500,000 KZT NET per month Astana / Office (part time) ML School Kazakhstan is a free two-year offline program in Astana, created with Yandex, Astana Hub, and Alem.ai Foundation, training specialists in ML Engineering, ML Research, and Data Science. Responsibilities: • Shape the academic model, curriculum, teaching formats, assignments, and assessment. • Coordinate instructors, teach ML/Data Science, and monitor academic quality and student progress. • Support student selection and plan the academic calendar. Requirements: • Deep knowledge of machine learning, data analysis, applied mathematics, or related fields, with practical ML development experience. • Technical teaching experience and ability to adapt complex content to different levels. • Proficiency in Python and major ML/Data Science tools. • English for professional materials and willingness to work offline in Astana. DSML Apply
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Product Manager Nace.AI 3,000,000 to 4,000,000 KZT NET per month Astana / Office Nace.AI builds AI-agentic products for professional knowledge, supported by leading venture capitalists. The role focuses on developing these products. Responsibilities: • Own the product roadmap, prioritize features, and turn customer, market, and data insights into requirements. • Partner with engineering, design, and AI/ML teams from discovery through launch and iteration. • Define KPIs, conduct user research, and validate assumptions through experiments and feedback. Requirements: • Bachelor’s degree in Computer Science, Engineering, or related field. • Product Management experience, ideally with SaaS or AI/ML products. • Strong analytical, organizational, communication, and cross-functional collaboration skills. DSML Apply
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MLOps/DevOps Engineer Eurasian Bank 500,000 to 750,000 KZT NET per month Almaty / Office Universal bank serving all customer segments. Responsibilities: • DevOps/MLOps • API deployment and documentation • ML services architecture • Monitoring and fault-tolerant services operation • Pipelines configuration with Airflow • Integration with internal banking services Requirements: • DevOps/MLOps • API deployment and documentation • ML services architecture • Monitoring and fault-tolerant services operation • Pipelines configuration with Airflow • Integration with internal banking services • Microservices architecture • Python (FastAPI, Flask) • Linux, Docker, Kubernetes, CI/CD, Nginx • Relational databases (Oracle, PostgreSQL) • Pipeline orchestration (Airflow, MLflow) • Git, Gitlab Optional: • LLM DSML Apply
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Computer Vision Research Engineer Victory-Technology 800,000 to 1,000,000 KZT NET per month Astana / Office LegalTech projects Responsibilities: • Detecting emotions and psychophysiological states using advanced multimodal architectures • Designing and training CNN, RNN, Transformers, Audio/Video Fusion, and LLM/RAG architectures • Building pipelines for extracting landmarks, audio embeddings, and spectrograms • Synchronizing audio/video, performing cross-validation, and implementing Explainable AI techniques • Optimizing models, applying MLOps, packaging in Docker, and integrating via API Requirements: • 2+ years of experience in ML (CV / Audio / NLP) • Proficiency in PyTorch and TensorFlow • Experience with Vision/Audio Transformers and Multimodal Fusion • Familiarity with RAG/LLM architectures • Knowledge of Docker, REST API, and MLOps best practices DSML Apply
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