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DevOps Engineer, GPUaaS
Design, deploy, and maintain GPU clusters for AI/HPC workloads, automate provisioning and CI/CD, and optimize performance using Kubernetes, Slurm, and NVIDIA tools.
DevOps Engineer
Design and maintain GPU clusters for AI/HPC workloads, automate provisioning, and optimize performance using Kubernetes, Slurm, and NVIDIA tools.
Senior Fullstack Developer (C++ / AWS / Python) — Spatial Data / LiDAR @ Insighto sp. z o.o.
Build and optimize a LiDAR/SLAM pipeline in C++ for point-cloud processing, design AWS-based cloud pipelines, and develop FastAPI backends and JavaScript UIs for spatial-data tools used by architects.
Cloud Machine Learning Engineer - Riyadh, KSA
Build and optimize deep-learning models and frameworks (PyTorch, Triton, ExecuTorch) for Qualcomm AI 100 accelerators in Linux, improving training/inference pipelines and contributing upstream.
Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA
Staff-level ML engineer optimizing deep-learning models and frameworks (PyTorch, Triton, ExecuTorch) for Qualcomm AI 100 accelerators in Linux/C++ environments.
Machine Learning Engineer
Build and optimize large-scale ML training and inference pipelines for low-latency trading systems using PyTorch, CUDA, and GPU acceleration.
Machine Learning Engineer
Build and optimize distributed ML training/inference pipelines for low-latency trading systems using PyTorch, CUDA, and GPU acceleration.
Go (Golang) Software Engineer, Developer Tooling and Containers
Build open-source developer tools in Go to streamline Linux-based workflows, containers, and cloud integration for engineers using Ubuntu.
AI Engineer
Build and operate a self-hosted AI platform running open-weight models with privacy and safety controls, focusing on efficient inference, retrieval pipelines, agent workflows, and guardrails.
Machine Learning Systems Engineer
Build and optimize the distributed systems that power large-scale ML model training for autonomous vehicles, using PyTorch, CUDA, and Triton.
Machine Learning Lead (Computer Vision)
Lead the design and deployment of AI/ML solutions using Azure ML, OpenAI APIs, and Generative AI for computer vision tasks like object detection and retail shelf analysis.
Software Development Engineer (Senior/Staff)
Build and optimize computer vision and AI models for automated optical inspection in manufacturing, using OpenCV, PyTorch, and real-time processing pipelines.
Senior Software Developer (Signal Processing)
Senior software engineer designing and implementing high-performance signal processing algorithms for radar and sensing systems using C++, Python, and MATLAB.
AI Solutions Architect
Designs end-to-end AI infrastructure (GPU clusters, networking, storage, MLOps) and translates customer needs into technical proposals to win enterprise AI deals.
Staff Machine Learning Engineer (Platform)
Build and own the ML platform that accelerates Neara’s frontier spatial models for power-grid digital twins, enabling faster training, serving, and deployment across global utilities.
Senior Machine Learning Engineer
Senior ML engineer building perception systems for autonomous maritime robots using computer vision, sensor fusion, and real-time ML pipelines.
Machine Learning Engineer
Senior DevOps ML Engineer builds and runs AI platforms, splitting time between GPU-accelerated Kubernetes, backend services, and MLOps to productionize LLMs and digital avatars.
Lead Machine Learning Engineer, Inference & Performance
Lead the optimization of LLM inference and training pipelines using vLLM, SGLang, and FlashAttention on GPU clusters, deploying models on GKE for high throughput-per-dollar performance.
AI DevOps Engineer (Sovereign Infrastructure)
Build and operate sovereign AI infrastructure for government clients, deploying GPU clusters in air-gapped data centers and cloud (Azure/GCP) using Kubernetes, GitOps, and offline artifact pipelines.
AI/ML Speech-to-Text Python Engineer
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs/Docker, and integrate into real-time applications.