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Solutions Architect
Design and implement cloud infrastructure and MLOps solutions for AI teams, advising clients on GPU cloud technologies and optimizing ML pipelines using tools like Terraform, Kubernetes, and Python.
Senior Software Developer, ML Ops (Remote)
Build and maintain ML infrastructure to deploy and scale AI models in production, using Python, Kubernetes, and Ray. Own platform services that enable data scientists to move models from experimentation to live systems.
Senior HPC Cluster Engineer, AI/ML
Engineer and operate large-scale GPU-accelerated HPC clusters for AI/ML workloads, focusing on automation, performance tuning, and reliability across on-prem and cloud environments.
DevOps Engineer (m/w/d)
Build and maintain CI/CD pipelines and cloud infrastructure for AI/ML systems using GitLab CI, GCP, Kubernetes, and Terraform to deploy scalable, secure media and content solutions.
Data Scientist
Build and deploy a data-science system that powers UK property insights, using Python, Azure, Docker, and PyTorch.
Software Engineer (Python) - MLOps Platform
Build and optimize the MLOps platform powering Revolut’s AI products, focusing on scalable Python backend services, GPU workloads, and PyTorch-based model training/inference.
Member of Technical Staff (Software Engineer, Acceleration)
Build AI-powered tools to accelerate Perplexity’s engineering and operations, making systems and workflows legible to AI agents while driving order-of-magnitude productivity gains.
Research Software Engineer
Build and maintain distributed systems, pipelines, and tooling that let AI researchers train and deploy frontier-scale models using Python, Kubernetes, and SLURM.
Member of Technical Staff — Reliability-CI Infrastructure
Own and optimize the CI/CD infrastructure for SGLang, an open-source LLM inference engine, ensuring fast, reliable, and secure test pipelines across multiple GPU hardware pools.
HPC Senior Systems Administrator
Senior HPC systems administrator managing a 600-node cluster, storage, InfiniBand/Ethernet networks, and Slurm workloads to support AI/ML and computational research at a Saudi research university.
Machine Learning Engineer
Build and maintain ML models to analyze 4G/5G network performance, troubleshoot issues, and create dashboards for stakeholders using Python, Spark, and cloud tools.
AI/ML Engineer
Build and deploy AI/ML models using Python, FastAPI, and Generative AI tools like LangChain and vector databases to create scalable solutions for clients in media, e-commerce, and other tech sectors.
HPC-Softwareentwickler/in (w/m/d)
Develop GPU-accelerated open-source software for scalable tomographic reconstruction pipelines using C/C++ and Python, optimizing data flows across CPUs, GPUs, and multi-node systems.
Senior Software Development Engineer, DevOps (Remote)
Build and maintain scalable cloud infrastructure for AI/ML video systems using Kubernetes, GPU workloads, and MLOps pipelines.
Machine Learning Infrastructure Engineer
Build and scale ML infrastructure for brain-computer interface R&D, including distributed training pipelines and large-scale data platforms to support neuroscientific modeling and neural decoding.
Computer Vision Software Developer
Develop and optimize computer vision algorithms (object detection, OCR, 3D processing) from prototypes into production-ready C++/Python code for embedded and mobile hardware.
Computer Vision Software Developer
Develop and optimize computer vision algorithms into production-ready code for embedded systems, focusing on performance and hardware constraints using C/C++/Python.
Platform Support Architect
Support and architect AI platforms for DDN’s Hyperpod, diagnosing issues across NVIDIA AI Enterprise, vector databases, GPUs, Kubernetes, and high-performance storage/networking.
Technical Program Manager
Technical Program Manager at RadixArk coordinates large-scale AI infrastructure programs, including inference engines, training frameworks, and GPU integration, to deliver systems serving billions of tokens daily.
Member of Technical Staff — Inference-Core Engine
Builds and optimizes large-scale AI inference systems for frontier models, focusing on performance, latency, and cost across thousands of GPUs.