ML Engineer (NLP / LLM)
Workforce Development Center
1,100,000 to 1,200,000 KZT Gross per month
Astana / Office
Developing digital ecosystem for social and labor sphere
Responsibilities:
• Build, fine-tune, and track model experiments
• End-to-end model development and production maintenance
• Support and improve existing models
• Collaborate with analysts and dev teams
Requirements:
• 3+ years official work experience
• 1.5+ years NLP-focused DS experience
• Deployment of ML, LLM models in production
• Deep knowledge of ML / DL models
• Python proficiency with ML & NLP stack
• Docker basics, Git, databases (SQL, vector)
Optional:
• Experience with AI agents / avatars
• Related ML fields
• Software development skills: OOP, async, REST API design
ML Engineer (Middle, C++ / Computer Vision)
AI SPORT
1200000 to 1600000 KZT Gross per month
Remote
Mobile AI fitness app; on-device inference; exercises recognition via camera; counts reps; tracks user in frame.
Responsibilities:
• Run ML inferences on mobile via ncnn
• Work with pose estimation, landmarks, tracking
• Implement rep counting logic from pose keypoints
• Improve CV/ML pipeline
• Reduce errors (misses, double count, false positives)
ML Engineer (Middle, C++ / Computer Vision)
AI SPORT
1200.000 to 1600.000 KZT Gross per month
Remote
Mobile AI fitness product; on-device inference for exercise recognition, counting, and tracking.
Responsibilities:
• Inference of ML models on mobile via ncnn
• Develop C++ counting logic from pose landmarks
• CV/ML pipeline maintenance/improvement
• Reduce errors (misses, double count, false positives)
MLOps / DevOps Engineer (Middle, AI/ML)
NITEC
700.000 to 1400000 kzt per month
Astana / Office
NITEC is a major player in Kazakhstan's IT market
Responsibilities:
• Develop and maintain infrastructure for AI/ML projects
• Deploy and support ML services in production
• Set up CI/CD pipelines for ML models and APIs
• Containerize services using Docker and Kubernetes
• Optimize infrastructure for LLM inference
• Document infrastructure and deployment processes
Requirements:
• 2+ years in DevOps/MLOps/Infrastructure Engineering
• Docker, Kubernetes, GitLab CI/CD
• Linux server administration
• API deployment and microservices architecture
• Understanding of ML/AI product lifecycle
• Monitoring and logging setup (Prometheus, Grafana)
Optional:
• Experience with GPU servers and ML infrastructure
• Deployment of LLM, embedding, or speech-to-text models
• Experience with MLflow, Airflow, Kubeflow
Middle ML Engineer (DL, AI)
Armeta
800.000 to 1.200.000 kzt NET per month
Astana / Office, Hybrid possible after probation
Armeta analyzes permitting and design documentation for compliance
Responsibilities:
• Developing backend ML services with FastAPI
• Integrating LLMs, NLP, CV models into applications
• Training and fine-tuning NLP/CV models
• Processing and indexing data with RAG
• Working with SQL and NoSQL databases
• Testing and optimizing AI/ML features
Requirements:
• 1-3 years in ML (NLP, CV, DL)
• Microservices development using FastAPI
• Production experience with vector databases/full-text search engines
• Experience with LLM frameworks (LangChain, etc.)
• Knowledge of multimodal LLMs (Gemini, GPT, etc.)