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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.
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, and integrate into products.
Systems/Infra/Data/Platform Engineer - Exchange Feed & Orderbook Systems
Build and optimize ultra-low-latency trading systems, real-time data pipelines, and HFT platforms for quantitative finance using C++, CUDA, and Kubernetes.
CFD Software Developer
Develop GPU-accelerated CFD software using Lattice Boltzmann methods, optimizing solvers for aerodynamics and aeroacoustics simulations in C++ and CUDA.
Member of Technical Staff - Backend Software Engineer
Backend engineer at a GenAI startup building scalable Go/Python systems for AI-powered avatar and video generation, serving millions of creators.
AI Engineer (From 2 Years Of Experience)
Build and maintain LLM servers (Llama, Mistral, GPT API) and deploy AI agents that automate tasks like reminders, reports, and paperwork using vector databases and RAG pipelines.
Software Engineer (Python/C++ Developer)
Build and optimize real-time streaming systems for AI-powered computer vision products like anomaly detection and human pose estimation using C++/Python and NVIDIA stacks.
Software Engineer, Infrastructure
Build and maintain the infrastructure and tooling that keeps thousands of GPU servers running smoothly for an AI media platform, including provisioning, health monitoring, and automated recovery.
Full Stack Engineer, AI Accelerator Open Source Ecosystem
Build and scale a full-stack Next.js app tracking open-source AI accelerator ecosystems (CUDA/ROCm/Trainium/TPU), integrating GitHub APIs and benchmarking data.
DevOps Engineer – Cloud Native AI (Sovereign Cloud)
Build and maintain sovereign, self-hosted AI infrastructure on Italian national clouds, deploying Kubernetes clusters and MLOps toolchains while ensuring GDPR/AGID compliance.
Senior Data Scientist
Build and deploy computer-vision models that detect liveness spoofs and deepfakes to secure VIDA’s identity-verification pipeline using PyTorch and OpenCV.
Staff Data Center Solutions Engineer
Staff engineer plans, deploys, and validates large-scale GPU clusters for AI workloads, advising on Supermicro’s liquid- and air-cooled data-center solutions and integrating BMS monitoring.
Staff Data Center Solutions Engineer
Leads planning, deployment, and validation of large-scale GPU clusters for AI infrastructure, advising on Supermicro’s cooling/power solutions and integrating monitoring systems while guiding customers and internal teams.
DevOps Engineer
DevOps Engineer to design, deploy, and maintain AI infrastructure using Kubernetes, Docker, and LLMOps tools like Ollama and LangChain, ensuring scalable, secure systems for logistics and industrial clients.
DevOps Engineer
DevOps Engineer building and scaling AI infrastructure (LLMOps) with Kubernetes, Docker, and NVIDIA CUDA on Linux, automating deployments and integrating Python/Java services.
Senior Software Engineer, Systems ML - AI Application Engineering
Build and optimize Meta’s AI systems by applying deep expertise in ML infrastructure and hardware acceleration to enhance product experiences.