Higgsfield AI · Almaty / Office
Competitive salary in USD + Stock Options
Expired023
Jobs
AI & Data jobs with transparent salary ranges · Kazakhstan, remote and international
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UK-based data analytics consultancy
Distributed analytics team delivering BI, data engineering, and analytics projects for international clients
Distributed analytics team delivering BI, data engineering, and analytics projects for international clients
• Data extraction and analysis from SQL databases and spreadsheets
• Building dashboards and reports in Tableau
• Supporting team with SQL and Tableau questions
• Communicating insights and recommendations
• Automating reports and analytics tasks
• Building dashboards and reports in Tableau
• Supporting team with SQL and Tableau questions
• Communicating insights and recommendations
• Automating reports and analytics tasks
• Hands-on experience with Tableau
• Strong SQL skills (joins, subqueries, data aggregation)
• Experience with real, imperfect datasets
• Basic conversational English
• Analytical mindset
• Strong SQL skills (joins, subqueries, data aggregation)
• Experience with real, imperfect datasets
• Basic conversational English
• Analytical mindset
📧 olga.tselyuk@data-never-lies.com
Expired036
Information technology support for government agencies (Executive Office of the President, Prime Minister’s Office, Department of Presidential affairs, Constitutional Court of the Republic of Kazakhstan)
• Data analysis and architecture selection for model training
• Exploring and testing new approaches and solutions
• Deploying models in production environment
• Setting up environment without internet access
• Exploring and testing new approaches and solutions
• Deploying models in production environment
• Setting up environment without internet access
• Proficient in Python and ML stack (Pandas, Scikit-learn, PyTorch/TensorFlow)
• Understanding of mathematics and statistics for algorithms
• Experience with modern architectures (NLP, CV, LLM)
• Ability to package solutions in Docker
• Willingness to work offline in a secure environment
• Understanding of mathematics and statistics for algorithms
• Experience with modern architectures (NLP, CV, LLM)
• Ability to package solutions in Docker
• Willingness to work offline in a secure environment
• Experience deploying local language models (LLM)
• Code optimization skills for GPU
• Working with SQL databases
• Code optimization skills for GPU
• Working with SQL databases
Ukimetova_DE@etc.udp-rk.kz
@dianaUK1
@dianaUK1
Expired00
AIMRIS is an Edge AI platform for industrial monitoring
• Porting and quantization of heavy models (4-bit) for VLM on Edge
• Implementing Dual-Pipeline Architecture (asynchronous linking)
• Processing up to 8 RTSP streams without memory leaks
• Building lightweight Docker images for ARM64
• Setting up Watchdog and auto-recovery
• Implementing Dual-Pipeline Architecture (asynchronous linking)
• Processing up to 8 RTSP streams without memory leaks
• Building lightweight Docker images for ARM64
• Setting up Watchdog and auto-recovery
• 2+ years in ML Engineering (Inference & Deployment)
• CV & Object Detection (YOLO, video preprocessing)
• Optimization with TensorRT, ONNX, quantization methods
• Python Stack (PyTorch, OpenCV, NumPy, Asyncio, Pandas)
• Linux/Docker (Docker, bash, system services)
• CV & Object Detection (YOLO, video preprocessing)
• Optimization with TensorRT, ONNX, quantization methods
• Python Stack (PyTorch, OpenCV, NumPy, Asyncio, Pandas)
• Linux/Docker (Docker, bash, system services)
• Experience with NVIDIA Jetson or Embedded systems
• LLM/VLM practices
• GStreamer / DeepStream
• C++ and CUDA for AI/ML Pipelines
• AWS platform (EC2, Bedrock, Sagemaker)
• LLM/VLM practices
• GStreamer / DeepStream
• C++ and CUDA for AI/ML Pipelines
• AWS platform (EC2, Bedrock, Sagemaker)
📧 yarlykova@itspartner.net
📱 @m_yarlykova
📱 @m_yarlykova
Expired020
WebDesignSun is focused on web design
Working on a Text AI Humanizer/Detector project
Working on a Text AI Humanizer/Detector project
• Fine-tune & optimize LLMs
• Full pipeline: dataset → training → deployment
• Model serving & inference optimization
• Monitoring metrics & performance
• Collaboration with team & PM
• Full pipeline: dataset → training → deployment
• Model serving & inference optimization
• Monitoring metrics & performance
• Collaboration with team & PM
• 3+ years ML/LLM/NLP experience
• End-to-end training pipeline
• Model optimization & quantization
• LoRA/QLoRA
• Grafana, Prometheus
• Python, PyTorch
• End-to-end training pipeline
• Model optimization & quantization
• LoRA/QLoRA
• Grafana, Prometheus
• Python, PyTorch
• Hugging Face (Transformers, Datasets)
• Quantization (bitsandbytes/AutoGPTQ)
• CUDA 12.x
• FastAPI
• Docker/K8s
• Quantization (bitsandbytes/AutoGPTQ)
• CUDA 12.x
• FastAPI
• Docker/K8s
📱 @idigorice
Expired010
Building a platform for autonomous AI agents
• Develop and customize AI agents
• Create tools for agents
• Research new AI possibilities
• Optimize virtual employee behavior
• Support agent development and observability
• Collaborate with teams to integrate AI features
• Create tools for agents
• Research new AI possibilities
• Optimize virtual employee behavior
• Support agent development and observability
• Collaborate with teams to integrate AI features
• Understanding of LLM models and AI approaches (prompt engineering, embeddings, RAG, agent-building frameworks)
• Skills in model quality analysis and metrics construction
• A desire to work at the intersection of engineering and research
• Skills in model quality analysis and metrics construction
• A desire to work at the intersection of engineering and research
hi@aibuy.kz
@aibuy_hr
@aibuy_hr
Expired00
IT consulting company providing services in business consulting and software development
• Develop and maintain ETL/ELT pipelines in Python
• Integrate data from various sources (API, databases, files, cloud storage)
• Work with data warehouses and databases (PostgreSQL, ClickHouse)
• Set up and maintain processes in Airflow or similar tools
• Optimize pipeline performance and SQL queries
• Participate in data infrastructure architecture design
• Integrate data from various sources (API, databases, files, cloud storage)
• Work with data warehouses and databases (PostgreSQL, ClickHouse)
• Set up and maintain processes in Airflow or similar tools
• Optimize pipeline performance and SQL queries
• Participate in data infrastructure architecture design
• 2+ years as Data Engineer or Python developer
• Proficient in Python 3.x and clean code writing
• Experience with ETL/ELT processes
• Strong SQL knowledge and relational databases experience
• Familiarity with task orchestration systems (Airflow, Prefect)
• Experience with version control (Git) and containers (Docker)
• Proficient in Python 3.x and clean code writing
• Experience with ETL/ELT processes
• Strong SQL knowledge and relational databases experience
• Familiarity with task orchestration systems (Airflow, Prefect)
• Experience with version control (Git) and containers (Docker)
📧 info@dreamlab.kz
📱 @drg_hr_dreamlab
📱 @drg_hr_dreamlab
Expired09
Project for 1 year with Xometry, a German company providing an on-demand industrial production marketplace. AGIMA is the outstaff company
• Design, develop, test, and release software supporting AI/ML
• Code analysis and documentation
• Manage team-owned services on AWS and Kubernetes
• Stay updated on new technologies
• Identify growth opportunities
• Code analysis and documentation
• Manage team-owned services on AWS and Kubernetes
• Stay updated on new technologies
• Identify growth opportunities
• 5+ years in software or ML engineering
• Attention to detail and strong work ethic
• Software development fundamentals
• Python and Terraform for AWS
• Infrastructure as Code (IaC)
• Software development principles
• Attention to detail and strong work ethic
• Software development fundamentals
• Python and Terraform for AWS
• Infrastructure as Code (IaC)
• Software development principles
• CI/CD pipelines with Github Actions
• MLOps best practices
• Data science or ML solution implementation
• Service-oriented architecture principles
• Relational and NoSQL databases knowledge
• Communicating technical concepts to non-technical stakeholders
• MLOps best practices
• Data science or ML solution implementation
• Service-oriented architecture principles
• Relational and NoSQL databases knowledge
• Communicating technical concepts to non-technical stakeholders
📧 a.stafeeva@agima.ru
📱 @staff_eeva
📱 @staff_eeva
Expired09