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Vale
11+ YOEVale needs candidates with 11 to 15 years of experience in AI, machine learning or advanced analytics, and experience deploying enterprise-scale models. A bachelor's degree in computer science, data science or engineering is required, and a master's is preferred. Strong skills with PyTorch, TensorFlow, Azure Machine Learning, MLflow, Docker and Kubernetes are expected.
PyTorch, TensorFlow, Azure Machine Learning, MLflow, Docker, Kubernetes
Adoc Talent Management: Adoc Talent Management is the first recruitment consulting firm specialized in the recruitment and career development of PhDs.
2+ YOEDoctorat en informatique, génie ou discipline technique, ou maîtrise et 2-5 ans d'expérience; Maîtrise avancée de Python et PyTorch; Solides bases en vision par ordinateur et OpenCV
Python, PyTorch, OpenCV, Git, Docker, TensorRT
Eclipse Automation
5+ YOECandidates need five or more years of building production enterprise applications, hands-on experience with AI/LLM solutions such as RAG and agents, and experience with React, TypeScript, Python and either .NET/C# or Node.js. Strong SQL, API integration, and a degree or diploma or equivalent experience are also required.
Ollama, llama.cpp, vLLM, NVIDIA NIM, Azure DevOps, GitHub Actions
Clariti Cloud Inc.
6+ YOECandidates need 6 to 10+ years in software or ML engineering, including 3+ in MLOps, with production model deployment experience. Strong Python, Docker, Kubernetes and cloud skills are required.
Docker, Kubernetes, MLflow, Weights & Biases, Kubeflow, GitHub Actions
Capgemini
5+ YOECandidates need 5+ years in machine learning or systems engineering, with 2+ years on production model inference. They must be strong in Python and PyTorch and have hands-on experience with an LLM serving framework.
PyTorch, vLLM, AWS Trainium, AWS Neuron SDK, TensorRT-LLM, SGLang
Cerebras Systems
5+ YOECandidates need 5+ years of software engineering experience, strong Python and a production language such as Go, C++ or Rust, and experience building production APIs and operating services on Linux with containers and Kubernetes.
Kubernetes, vLLM, PyTorch, Hugging Face Transformers, LLGuidance, CUDA
Perplexity
Candidates need deep Kubernetes experience, including custom operators and multi-cluster work, and experience managing GPU clusters at scale. They also need multi-cloud orchestration, distributed systems fundamentals, and systems programming in Go, Rust or C++.
Kubernetes, CUDA, InfiniBand, RoCE, Slurm, Prometheus
MetaOptima: MetaOptima is a digital health tech company dedicated to revolutionizing the dermatology and skin care industry with affordable, effective and…
2+ YOECandidates need a master's or PhD in computer science or a related quantitative field, plus 2+ years building production computer vision and machine learning systems. Strong Python, PyTorch and cloud deployment skills are required.
PyTorch, scikit-learn, AWS, GCP, Docker, Kubernetes
Invision AI
Candidates need a track record of shipping production computer vision models and strong Python skills, with experience in PyTorch, TensorFlow or scikit-learn. They also need experience optimizing models for edge devices, sound software engineering practices, and the legal right to work in Canada.
PyTorch, TensorFlow, scikit-learn, Docker, ONNX Runtime, TensorRT
Invision AI
Candidates need a track record of shipping production computer vision models, strong Python skills, and experience with PyTorch, TensorFlow or scikit-learn. Working knowledge of embedded systems and edge optimization is required, and candidates must be legally entitled to work in Canada.
PyTorch, TensorFlow, scikit-learn, Docker, ONNX Runtime, TensorRT
Featherless AI
3+ YOECandidates need 3 to 6 years in pre-sales engineering, solutions architecture or customer-facing engineering, with hands-on Python and working knowledge of LLM inference serving. Featherless AI also expects familiarity with the open-model ecosystem, containers and Kubernetes, and clear written communication.
Python, Kubernetes, Hugging Face, vLLM, SGLang, TensorRT-LLM
Trench Group GmbH
Candidates need to be pursuing a degree in robotics, computer science, electrical or computer engineering, or mechatronics, with working knowledge of robotics and computer vision. Strong C++ and Python skills, Linux, Git and ROS 2 experience are needed, and a GitHub profile must be submitted with the resume.
ROS 2, PyTorch, Gazebo, Isaac Sim, NVIDIA Jetson, TensorRT
Waabi
Candidates need experience shipping production ML software and optimizing models for deployment, such as with TensorRT, torch.compile, ONNX or quantization. They also need GPU profiling skills, understanding of modern architectures like diffusion and vision transformers, and experience running GPU jobs in the cloud.
TensorRT, torch.compile, ONNX, CUDA, Triton, Nsight Systems
Urban Ridge Supplies
3+ YOECandidates need 3 to 6 years in pre-sales engineering, solutions architecture or customer-facing engineering in AI, cloud or developer tooling. They must write Python, understand LLM inference serving and open-model ecosystems, and communicate well in writing and in meetings.
Python, Kubernetes, Hugging Face, vLLM, SGLang, TensorRT-LLM
Urban Ridge Supplies
3+ YOECandidates need 3 to 6 years in pre-sales engineering, solutions architecture or customer-facing engineering, with hands-on Python skills. They should know LLM inference serving, open-model ecosystems, containers and Kubernetes.
Python, Kubernetes, HubSpot, Hugging Face, vLLM, SGLang
Yotta Labs
Candidates need strong Python and C++ skills, deep GPU architecture knowledge and experience with CUDA, Triton, ROCm or AWS Neuron. A background in computer science or engineering is preferred, along with the ability to work collaboratively in a remote team.
CUDA, Triton, ROCm, AWS Neuron SDK, PyTorch, Nsight
Baseten
3+ YOECandidates need 3+ years building distributed systems or large-scale backend APIs, with experience in low-latency services, observability and performance profiling. Kubernetes, GPU workloads and LLM inference experience are assets, but prior ML experience is not required.
Kubernetes, GPU, vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo
Baseten
Candidates need a bachelor's, master's or PhD in a technical field, experience with Python or C++, and familiarity with LLM optimization and ML libraries such as PyTorch or TensorRT. They also need a deep understanding of GPU architecture and demonstrated interest in LLMs.
PyTorch, TensorRT, TensorRT-LLM, vLLM, SGLang, CUDA
Baseten
Candidates need deep technical program management experience on complex programs, and experience with model performance or inference optimization. They should be comfortable building programs from ambiguity and influencing people without authority.
vLLM, TensorRT-LLM, SGLang, NVIDIA Dynamo
18 companies