Вакансии

• Architect and ship production LLM systems
• Decompose ambiguous client problems
• Own cost and latency on production workloads
• Collaborate with client technical and business teams

• 5+ years total work experience
• 3+ years building production AI/LLM systems
• Strong Python; vLLM, LangGraph, LangChain or equivalent
• MLOps: cost and latency optimisation
• Fluency with agentic tooling like Claude Code or Cursor
• English fluency for stakeholder presentations

📧 dan.kazi@p99.ai

• Develop and implement ML models for banking products
• Optimize existing ML models for business and regulatory needs
• Prepare and analyze large datasets
• Deploy and maintain ML models in production
• Develop and maintain ML pipelines
• Mentor the ML engineering team

• Proficient in Python and ML libraries
• Experience with databases and big data
• Deep understanding of MLOps
• Knowledge of A/B testing and statistical analysis
• Experience with ML model monitoring

• Expertise in NLP or computer vision
• Experience in high-load ML services

y.bakytov@alataucitybank.kz
@ybakytov

• Integrate and scale AI integrations
• Own and implement new connections
• Optimize AI pipelines
• Host and monitor NLP models
• Develop monitoring systems
• Support with innovative solutions

• 8+ years in ML including classification, clustering, forecasting, anomaly detection
• 6+ years with Python and production services/API
• SQL, ETL, data modeling experience
• AWS and GCP AI infrastructure experience including Sagemaker, Vertex, Triton
• Conversational English B2+
• Airbyte (1+ year)
• Kubernetes (3+ years)

tatiana@onclarity.com
@Tany_Jobs

• Time series analysis (IMU, pressure sensors)
• Event detection (movement phases, jumps, contact)
• Biomechanics models
• Full ML cycle: data → training → production
• Model integration in backend (FastAPI)
• Working with LLM

• 1-3 years in ML/Data Science
• Python
• Backend (FastAPI or similar)
• Cloud experience (GCP preferred)

• Time series analysis

abylaikhan@miraitech.health
@true_hero1

• Design end-to-end ML system architecture
• Develop and maintain production ML pipelines
• Make technical decisions in system architecture
• Implement modern ML models and algorithms
• Optimize models for production
• Mentor junior and middle specialists

• Expert in Python
• Advanced in PyTorch/TensorFlow/JAX
• Modern architectures: Transformers, Diffusion Models
• Distributed training: DeepSpeed, DDP
• MLOps and CI/CD
• Cloud services: AWS/GCP/Azure

• Reading and implementing scientific papers
• Experience with petabyte-scale data
• High-availability ML systems development

hr@yurtech.kz
@yurttech

• Develop and implement ML models for industrial tasks
• Deploy models for industrial use
• Participate in R&D for LLM agents

• Advanced Python
• Deep understanding of ML algorithms (CatBoost, XGBoost, LightGBM)
• Experience with Docker, FastAPI, SQL

• Experience with LLM (RAG, LangChain)
• Deployment on Edge devices

team@qanysh.kz
@mukasheff

• Analyze product and business metrics
• Develop and maintain ETL/ELT processes
• Work with DWH, write SQL queries
• Prepare data marts and dashboards (Power BI, Looker Studio)
• Conduct and analyze A/B tests
• Integrate data from APIs and external sources

• Python (OOP)
• Confident SQL (CTE, window functions)
• Understanding of DWH and ETL/ELT
• Analytical thinking
• Experience collaborating with developers and business

• A/B testing experience
• Experience in product companies, telecom, or banks

@Sofiya_Brussenskaya
Brusenskaya@kolesa.kz

• Developing services
• Fulltime position without other projects
• Strong usage of LLM for work

• 6+ years of backend dev with Python
• 4+ years with FastAPI: async patterns, Pydantic, pagination, OAuth2, rate limiting, background jobs
• 1+ year DevOps: AWS/GCP, Docker, Terraform, GitHub Actions
• 1+ year with ElasticSearch: analyzers, aggregations, filters, performance tuning
• 2+ years with React + TypeScript: component design, hooks, performance, testing
• English (B2+)

📧 tatiana@onclarity.com
📱 @Tany_Jobs