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Applied AI Solutions Engineer builds AI-powered workflows and data pipelines using Claude Code and LLMs, works with SQL databases, and creates dashboards using Domo. The role involves partnering with stakeholders to identify AI use cases and deliver data-driven solutions.
WHAT IS THE OPPORTUNITY? RBC's Data Security Automation and Engineering team is responsible for identification and detection of data loss incidents that might pose a risk to the organization. The Senior Manager…
Assess and document security controls for AI/LLM systems in AWS cloud environments, authoring RMF artifacts and bridging gaps between offensive security and DevSecOps pipelines.
An AI Engineer/Data Scientist bridging data science and software development to deploy AI projects, ML models, and AI agents for clients using Python, JavaScript, TensorFlow/PyTorch, and Azure ML.
About the Role This role will lead the software development and architecture of a digital twin model integrating vehicle dynamics and physics, environmental, and acoustic models with measured and simulated data. The…
Build and deploy AI-driven simulation tools for engineering customers, integrating ML models into production systems using Python, PyTorch, and fastAPI.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack…
Build and run the distributed GPU infrastructure that trains and serves PhysicsX’s large AI models for engineering simulation, partnering with research scientists to optimize training pipelines and model deployment.
Principal ML Infrastructure Engineer at PhysicsX in London builds and operates AI-driven simulation infrastructure for training, fine-tuning, and serving large physics models, using NVIDIA DGX clusters and PyTorch.
Senior Machine Learning Engineer at PhysicsX builds and deploys AI models for engineering simulation, working directly with customers to integrate ML into production tools using Python, PyTorch, and cloud/on-prem pipelines.
Senior ML Engineer builds and deploys AI-driven simulation tools for engineering workflows, focusing on geometry-aware models and robust pipelines using Python, PyTorch, and fastAPI.
Build and maintain hyper-personalization, predictive, and NLP models in a Big Data production environment using Python, Spark, and deep learning frameworks.
Builds and deploys AI/ML systems (Chariot platform) to monitor model performance, manage drift, and ensure real-world reliability for government clients, working with data (structured/unstructured) and hybrid/on-site at Fort Belvoir.
At OpenSpace, we’re redefining how the world’s most complex projects are built. Our AI-powered Visual Intelligence Platform uses computer vision and spatial AI to give construction teams a real-time view of what’s…
Senior Computer Vision Engineer builds AI-powered spatial mapping and 3D reconstruction systems for construction sites using computer vision, deep learning, and SLAM techniques.
Build and deploy AI solutions in Python using ML/NLP, RAG, Agentic AI, and LLM frameworks like TensorFlow and PyTorch.
Build and optimize distributed deep learning pipelines for large-scale genomic data in a cloud environment, collaborating with ML scientists and software engineers to accelerate cancer early-detection models.
Computer Vision Engineer owning end-to-end image processing pipelines for space domain awareness, training/customizing models (Unet, ViT, ResNet) in PyTorch/TensorFlow, with strong C++ programming and classical vision (OpenCV) skills.
Research and implement hardware-aware neural network optimization techniques (quantization, pruning, NAS) and optimize ML inference pipelines and compilers/runtimes (TVM, MLIR, TensorRT, ONNX Runtime) for edge devices at Huawei's Software-Hardware System Optimization Lab in Edmonton.
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