Телеграм канал «AIMoLdin Jobs (DSML.KZ)»

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

Senior Machine Learning Engineer
MiraiTech
750,000 to 1,500,000 KZT NET per month
Astana / Office

MiraiTech is a SportTech startup developing an AI platform for biomechanical athlete analysis with proprietary sensors, scaling from R&D to production.

Responsibilities:
• Develop, validate, and deploy ML/DL models in production
• Work with time-series and multimodal sensor data
• Build data-processing, inference, monitoring, versioning, and retraining pipelines
• Improve model accuracy, robustness, latency, and efficiency
• Collaborate on experiments, data collection, and sensor integration

Requirements:
• 3+ years of commercial Machine Learning experience
• Strong Python and Deep Learning skills
• Experience with time series, PyTorch/TensorFlow, and ML evaluation
• Production ML deployment experience
• Experience with APIs and data pipelines
• Familiarity with Docker, databases, cloud, and GPU workloads
• Ability to drive ML tasks from experimentation to production

DSML Apply