Senior AI Officer
Kazakhtelecom JSC
1,000,000 to 2,000,000 KZT NET per month
Astana, office
Kazakhtelecom (leading telecommunications company in Kazakhstan), developing a corporate AI-agent platform
Responsibilities:
• Develop the AI strategy, roadmap, and prioritized initiative portfolio
• Identify, prototype, and launch high-potential AI use cases
• Build AI agents, RAG solutions, and automation with measurable business results
• Partner with business leaders and AI/FDE teams to scale successful pilots
Requirements:
• 7+ years in AI/ML, product development, or digital transformation
• Experience launching AI/ML or technology products
• Strong knowledge of LLMs, Generative AI, AI agents, RAG, and automation
• Ability to independently build working AI prototypes using Python, APIs, and SQL
• Product mindset, strategic thinking, and focus on measurable outcomes
• Experience working with executives and connecting technology to business impact
Senior AI Officer
Kazakhtelecom JSC
1,000,000 to 2,000,000 KZT NET per month
Astana, office
Kazakhtelecom (leading telecommunications company in Kazakhstan), developing a corporate AI-agent platform
Responsibilities:
• Develop the AI strategy, roadmap, and prioritized initiative portfolio
• Identify, prototype, and launch high-potential AI use cases
• Build AI agents, RAG solutions, and automation with measurable business results
• Partner with business leaders and AI/FDE teams to scale successful pilots
Requirements:
• 7+ years in AI/ML, product development, or digital transformation
• Experience launching AI/ML or technology products
• Strong knowledge of LLMs, Generative AI, AI agents, RAG, and automation
• Ability to independently build working AI prototypes using Python, APIs, and SQL
• Product mindset, strategic thinking, and focus on measurable outcomes
• Experience working with executives and connecting technology to business impact
Lead AI / RAG Engineer: Self-Hosted Knowledge Platform
Eventum AI
65 to 90 USD Gross per hour
Remote
Eventum AI builds production-grade LLM, RAG, agent, and document-intelligence systems.
Responsibilities:
• Lead architecture and implementation of a production RAG knowledge platform
• Build ingestion for Google Workspace, PDFs, scans, tables, and images
• Implement ACL-aware retrieval, hybrid search, reranking, and citation-backed generation
• Deploy and benchmark open-weight models with vLLM or similar
• Build evaluation, observability, CI/CD, and production handoff
Requirements:
• 6+ years of software/ML engineering experience
• Strong production LLM/RAG and Python/backend experience
• Experience with embeddings, vector search, reranking, and document pipelines
• Experience serving open-weight LLMs with vLLM, SGLang, Triton, TGI, or similar
• Strong cloud/infrastructure skills: Docker, Terraform/Kubernetes, or CI/CD
• Experience with LLM evaluation and production reliability
BI Developer (Apache Superset + AI)
National Center for Expertise of Medicines and Medical Devices
500,000 to 800,000 KZT NET per month
Astana, office
National Center for Expertise of Medicines and Medical Devices. Digitalization of state expertise.
Responsibilities:
• Develop and maintain interactive dashboards in Apache Superset
• Write and optimize complex SQL queries, create data marts
• Customize dashboards (Jinja, CSS, Python)
• Implement AI/ML solutions for analytics and forecasting
• Interact with clients, gather requirements, and present results
Requirements:
• Higher technical/IT education
• At least 2 years of experience as a BI developer
• At least 1 year of experience with Apache Superset
• Advanced SQL skills
• Experience with PostgreSQL/ClickHouse/MS SQL
• Knowledge of Python (Pandas, SQLAlchemy)
• Understanding of DWH and data modeling
Optional:
• Experience in AI/ML analytics
• Power BI/Tableau
• Airflow
• Experience in pharmaceuticals or public sector
Senior Machine Learning Engineer
Northstar Analytics
1,200,000 to 1,600,000 KZT NET per month
Almaty / Office
Northstar Analytics builds production ML systems for retail operators across Central Asia.
Responsibilities:
• Own architecture and delivery of forecasting, ranking, and recommendation services.
• Design reproducible training, evaluation, monitoring, and retraining workflows.
• Translate product goals into measurable ML objectives, experiments, and releases.
Requirements:
• 5+ years in professional software or machine-learning engineering with production systems.
• Advanced Python and SQL; strong statistics, experimentation, and model-evaluation skills.
• Experience with orchestration, containers, cloud infrastructure, observability, and CI/CD.
• Ability to debug data and model failures.
• Experience with forecasting, ranking, recommendations, optimization, or another applied ML domain.
• English proficiency for technical documentation and cross-functional collaboration.
AI Developer / ML Engineer
Revolve
1,600 to 3,200 USD NET per month
Remote
Revolve develops AI/ML solutions and an internal platform for intelligent agents.
Responsibilities:
• Design multi-agent systems and integrate LLMs with internal tools
• Develop backend APIs, RAG pipelines, and tool/function calling
• Build computer vision pipelines for detection, tracking, and re-identification
• Optimize real-time video and GPU inference
Requirements:
• Node.js/Express.js and Python
• LLM APIs, prompt engineering, RAG, tool calling, or agent frameworks
• Docker, Linux, and Git
• PyTorch and OpenCV
• Object detection and multi-object tracking (YOLO, ByteTrack/BoT-SORT)
• Person re-identification, vector search, and video streaming (RTSP)
ML Engineer
Meteoro
2,500 to 3,500 USD NET per month
Remote
Dynamic AI tech environment focused on generative applications.
Responsibilities:
• Develop, fine-tune, evaluate, and deploy generative models for image, video, text, and multimodal applications
• Improve generation quality, including prompt adherence, consistency, and alignment
• Develop LLM control and evaluation methods, including structured generation, tool use, and safety
• Optimize training and inference for performance and cost
• Build scalable data, training, inference, and MLOps pipelines
• Integrate models into production systems and assess relevant AI research
Requirements:
• 3+ years in machine learning and software development
• Hands-on experience developing and deploying generative AI models
• Strong understanding of diffusion models, image/video generation, and LLM fine-tuning and evaluation
• Proficiency with PyTorch or TensorFlow
• Strong software engineering skills, including testing, monitoring, and optimization