Growth Analyst
Higgsfield AI
100,000 to 350,000 USD Gross per year
Almaty / Office / Support Relocation
Higgsfield AI reaching $1B ARR within 18 months of launch. This role supports growth marketing across paid, influencer, and organic channels for a global AI product with 35M+ users.
Responsibilities:
• Analyze channel performance to identify which channels acquire paying users and drive conversions.
• Parse, clean, and structure data from multiple sources: product, marketing, and payments.
• Own ETL processes.
• Reconcile numbers across Sheets, dashboards, and analytics tools.
Requirements:
• 2+ years in marketing or performance analytics.
• Proficiency in SQL and Python.
• Understand CAC, ROMI, LTV, attribution, and incrementality.
• Experience with ad platforms and tracking tools.
• Assess channel contributions to paying users and conversions.
• Work independently, identify problems, test hypotheses, and translate findings into budget decisions.
• Willingness to work six days per week.
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