Data Scientist (Junior–Middle)
National Testing Center (NTC)
450,000 to 600,000 KZT NET per month
Astana / Office
The National Testing Center (NTC) is hiring a Data Scientist to work on education-focused solutions. Develop machine learning and NLP solutions for the education sector, including automated assessment of answers.
Responsibilities:
• Prepare and analyze data.
• Develop and evaluate machine learning and NLP models.
• Contribute to solutions for automated answer assessment.
• Experiment with LLMs and prompts.
Requirements:
• At least one year of experience in Data Science, machine learning, or NLP.
• Confident Python skills and knowledge of SQL.
• Understanding of machine learning fundamentals and experience with pandas, NumPy, and scikit-learn.
• Familiarity with NLP and PyTorch.
• Experience using Git.
Optional:
• Practical experience with LLMs and fine-tuning methods.
• Experience with FastAPI or LangChain.
MLOps/LLMOps Engineer
Social Health Insurance Fund
1,500,000 to 2,000,000 KZT Gross per month
Astana, office
The Social Health Insurance Fund finances healthcare under Kazakhstan’s public and mandatory insurance systems and is building secure AI services, including internal assistants and RAG.
Responsibilities:
• Build secure end-to-end MLOps pipelines for data, model training, deployment, monitoring, and retraining.
• Deploy and monitor LLM services and RAG solutions, including inference infrastructure, document indexing, and vector databases.
• Establish CI/CD for models and AI services; safeguard sensitive data with access controls and audit logging.
Requirements:
• 2–3+ years in MLOps, LLMOps, DevOps, ML, or Data Engineering; strong Python and API development skills.
• Hands-on Docker, Kubernetes, Git, and CI/CD experience; ML lifecycle understanding.
• Practical experience with LLMs, RAG, embeddings, and vector databases.
• Knowledge of security, observability, and reliable system design.
В канале AI Радар мы каждый день просматриваем сотни новостей из 40+ англоязычных, китайских и казахстанских источников, чтобы вы оставались в курсе главных трендов в AI.
Каждый день вас будут ждать 8 главных сигналов отобранных по их важности для индустрии, практичности для сегодняшнего дня и влиянию на завтрашний день. К каждой новости мы прикладываем заметку о важности сигнала и небольшой комментарий от редакции для широкого читателя.
Подписывайтесь на AI радар @dsmlkz_radar уже сегодня, а мы будем продолжать улучшать его и делать его лучше!
Middle ML Engineer - Face Biometrics / Computer Vision / AI Security
Biometric.Vision
1,200,000 to 1,500,000 KZT NET per month
Almaty / Office
Biometric.Vision develops AI solutions in the areas of Digital Identity and Fraud Prevention
Responsibilities:
• Develop and improve ML/CV models for biometric and identity verification solutions
• Work on Face Verification, Liveness Detection, Anti-Spoofing, and Deepfake Detection tasks
• Integrate modern research approaches and SOTA models into production
• Optimize model inference and performance
Requirements:
• 2+ years of commercial experience in ML / Computer Vision
• Proficient in Python
• Practical experience with PyTorch or TensorFlow
• Experience in model optimization or inference
Optional:
• Experience with Face Biometrics, KYC, Identity Verification, or Anti-Fraud
• Experience developing Liveness Detection / Anti-Spoofing / Face Recognition
• OpenCV, InsightFace, DeepFace
• Docker / Kubernetes
Middle ML Engineer - Face Biometrics / Computer Vision / AI Security
Biometric.Vision
1,200,000 to 1,500,000 KZT NET per month
Almaty / Office
Biometric.Vision develops AI solutions in the areas of Digital Identity and Fraud Prevention
Responsibilities:
• Develop and improve ML/CV models for biometric and identity verification solutions
• Work on Face Verification, Liveness Detection, Anti-Spoofing, and Deepfake Detection tasks
• Integrate modern research approaches and SOTA models into production
• Optimize model inference and performance
Requirements:
• 2+ years of commercial experience in ML / Computer Vision
• Proficient in Python
• Practical experience with PyTorch or TensorFlow
• Experience in model optimization or inference
Optional:
• Experience with Face Biometrics, KYC, Identity Verification, or Anti-Fraud
• Experience developing Liveness Detection / Anti-Spoofing / Face Recognition
• OpenCV, InsightFace, DeepFace
• Docker / Kubernetes
Middle ML Engineer - Face Biometrics / Computer Vision / AI Security
Biometric.Vision
1,200,000 to 1,500,000 KZT NET per month
Almaty / Office
Biometric.Vision develops AI solutions in the areas of Digital Identity and Fraud Prevention
Responsibilities:
• Develop and improve ML/CV models for biometric and identity verification solutions
• Work on Face Verification, Liveness Detection, Anti-Spoofing, and Deepfake Detection tasks
• Integrate modern research approaches and SOTA models into production
• Optimize model inference and performance
Requirements:
• 2+ years of commercial experience in ML / Computer Vision
• Proficient in Python
• Practical experience with PyTorch or TensorFlow
• Experience in model optimization or inference
Optional:
• Experience with Face Biometrics, KYC, Identity Verification, or Anti-Fraud
• Experience developing Liveness Detection / Anti-Spoofing / Face Recognition
• OpenCV, InsightFace, DeepFace
• Docker / Kubernetes
Senior Computer Vision Engineer (Video Analytics)
TargetAI
1,300,000 to 1,500,000 KZT NET per month
Office, Astana
TargetAI specializes in video analytics solutions.
Responsibilities:
• Develop and adapt computer vision/video analytics models for detection, tracking, and recognition.
• Work with video pipelines, including RTSP/HTTP, decoding, sampling, and batching.
• Fine-tune models for real-world conditions and customer scenarios.
• Optimize CPU inference, latency, and resource usage.
• Integrate models into backend, edge, and on-premise solutions.
• Prepare datasets, build training/testing pipelines, and monitor quality.
Requirements:
• 4+ years in Computer Vision/Video Analytics.
• Strong CNN, YOLO, and SSD knowledge.
• PyTorch or TensorFlow, OpenCV, and ONNX.
• Understanding of RTSP, H.264/H.265, FPS, bitrate, and latency.
• CPU inference optimization experience.
• Linux and OpenVINO.
• C++ for performance-critical components.