Jobs

• LLM Development
• NLP Models
• Data Science
• Chatbots
• Continuous Improvement

• Expertise in NLP & Deep Learning
• LLM Proficiency
• Data Science Skills
• Programming
• Experience

• Advanced LLM Techniques
• RAG Models
• Optimization

📧 qazsoftdev@gmail.com
📱 @akh_bzr

• Participate in all stages of service creation from database structure design to testing and deployment
• Develop microservices or monolithic applications depending on the project
• Optimize existing solutions and refactor code
• Interact with external APIs and internal microservices
• Configure and support communications (REST, GraphQL, WebSocket)

• 2+ years of Node.js development experience
• Deep understanding of key modules and concepts like Events, Streams, Clusters, etc
• Strong proficiency in JavaScript (ES6+) and understanding of TypeScript
• Practical experience with Express.js, NestJS, Koa, or similar tools
• ORM (Sequelize, TypeORM, Mongoose, etc.)

📧 info@dreamlab.kz
📱 @drg_hr_dreamlab

• development and maintenance of RAGs
• Building multi-agent architectures for AI assistants
•Creating pipelines for document ingestion, OCR, chunking, metadata extraction, and vector-store indexing
• optimizing inference on on-premise GPU
• implementing monitoring and evaluation processes for LLMs, embeddings, RAG systems
• data preparation

• Basic understanding of ML, NLP
• Python (Pandas, NumPy, Scikit-Learn; PyTorch/TensorFlow familiarity)
• Initial experience or strong interest in RAG, NLP
• Git, reproducible code practices

• Experience with vector DBs (pgvector, Pinecone, Qdrant)
• Basic understanding of BM25, embeddings, reranking models, or text chunking strategies
• MLOps practices
• Coursework or personal projects with transformers, LLM fine-tuning etc
• Kaggle or ML competitions

📧 Zhanarys.Zhandeldinov@bsbnb.kz [Junior AI as subject]

• Developing large language models for regulatory and analytical tasks
• Building NLP solutions like classification and summarization
• Creating and supporting AI assistants and chatbot tools
• Designing retrieval-based systems
• Building document ingestion pipelines
• Optimizing training and inference pipelines

• 3+ years experience in ML, NLP, or Deep Learning
• Strong Python and ML engineering skills
• Training and deploying transformer-based models
• Working with large datasets
• Production-level experience with ML systems, model lifecycle management

• Large-scale LLM training and optimization
• Retrieval frameworks
• Vector search systems
• Financial, regulatory, government AI projects

📧 Zhanarys.Zhandeldinov@bsbnb.kz

• Design ML systems architecture and pipelines
• Develop NLP models, classification, NER, and forecasting
• Build RAG workflows and work with vector databases
• Integrate ML models with backend services
• Lead ML engineers in planning, code review, and mentoring

• 4+ years in ML/AI and 1+ year as Lead
• Production experience with NLP models and ML pipelines
• Practical experience with PyTorch and modern architectures
• Experience deploying models to production

📧 daniyar@smart-system.tech