Телеграм канал «AIMoLdin Jobs (DSML.KZ)»

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.

DSML Apply

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

DSML Apply

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

DSML Apply

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

DSML Apply

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.

DSML Apply

AI / ML Specialist
UDP RK
750,000 to 1,300,000 KZT Gross per month
Astana / Office

IT support for government agencies, including the Executive Office of the President, Prime Minister’s Office, Department of Presidential Affairs, and Constitutional Court.

Responsibilities:
• Analyze data and select architectures for model training
• Test new approaches and deploy models to production
• Set up offline environments and integrate local LLMs

Requirements:
• Proficient in Python and ML tools (Pandas, Scikit-learn, PyTorch/TensorFlow)
• Understanding of mathematics and statistics for algorithms
• Experience with NLP, CV, or LLM architectures
• Ability to package solutions in Docker
• Basic Linux knowledge and API development experience
• Willingness to work offline in a secure environment

DSML Apply