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Senior ML Engineer builds and fine-tunes LLM-based agents and RAG pipelines for cybersecurity vulnerability detection, deploying on-prem models and optimizing MLOps/LLMOps workflows.
Develops and deploys deep-learning perception algorithms (object detection/tracking, anomaly detection, LiDAR segmentation) for autonomous inspection robots, optimizing models for NVIDIA Jetson edge hardware and integrating them via ROS. Works across the full pipeline: data annotation, MLOps with GitLab/MLflow, and cloud training/inference on AWS (SageMaker, Bedrock).
Remote (Pakistan-based) senior engineer at CloudPSO designing, training, and deploying speech AI models (STT/NLU/TTS) for a Voice Agent platform with MLOps pipelines, while also building Android/iOS apps and frontend prototypes. Core stack: Python, PyTorch/TensorFlow, ONNX/TensorRT, Kotlin, Swift, and React.
Early-career research engineer at MIT Lincoln Laboratory developing, optimizing, and deploying machine learning models on resource-constrained edge/embedded platforms for national security applications, working with Python, PyTorch, and edge AI toolchains like TensorRT, ONNX Runtime, and CUDA.
Builds and maintains the ML infrastructure behind Mach9's production AI models for civil engineering and surveying: versioning training data, orchestrating training pipelines over hundreds of terabytes of 3D point cloud and image data, and optimizing real-time inference services, primarily with Python and PyTorch.
Senior compiler engineer at AMD building a machine-learning model compiler that takes ONNX/PyTorch models and generates optimized code for AMD AIE VLIW processor arrays in Ryzen AI PCs and embedded FPGA devices. Day to day: integrating with ML frameworks, implementing model partitioning (MLIR) and x86/AIE runtime code, plus debugging and optimizing.
Optimize and benchmark AI model performance across hardware platforms for Microsoft's AI services, focusing on large-scale LLM inference and deployment efficiency.
La Stack technique est : Développement : Python, C/C++, SQL, Bash Machine Learning / Deep Learning : PyTorch, TensorFlow, scikit-learn, XGBoost, LightGBM Architectures : CNN, RNN / LSTM / GRU, Transformers, réseaux de…
Overview As a Principal Software Engineering Manager – AI Frameworks on the team, you will lead and grow a group of engineers working across the AI software serving stack while remaining technically hands-on. You will…
Cyclife Digital Solutions (www.cyclife-ds.com), filiale de Cyclife (groupe EDF), est spécialisée dans les technologies numériques, la transformation digitale et l'amélioration de la performance des organisations.…
We are a fast-growing and exciting tech company that provides innovative and human-centric digital twin solutions, ranging from smart construction, 3D visualisation, VR gaming to 4D immersive experience. Our team is…
Salary: RM 5,000 – RM 6,000 per month Skills & experiences requirement: Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field, 1-3 years of experience is…
Deep learning engineer on 42dot's Gleo AI team building production text-to-speech (TTS) for in-vehicle voice experiences. Day-to-day work spans optimizing TTS models for on-device/NPU environments (quantization, memory/latency), streaming synthesis, and multilingual/multi-speaker models using LLMs and flow matching, with PyTorch, TensorRT/ONNX, Python/C++ on Linux.
What You Can Expect You'll design, implement, and own the inference systems that serve Zoom's AI models at production scale -- across real-time communication, vision, and language workloads. You'll be…
Worker Type Regular Job Description NOTE : to qualify for this role, you must be a U.S. Citizen Summary The Lead Machine Learning Engineer will be a strong individual contributor and technical leader in the Learning…
Job Description About the Team: GM’s AV/AI Platform organization builds the software foundation and engineering tools that power safe, reliable, and scalable autonomous driving and advanced driver-assistance systems.…
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology…
Type of Requisition: Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: IT Infrastructure and Operations Job…
Early-career ML engineer at Mach9 builds 3D computer-vision perception models that extract objects and line features from LiDAR point clouds and imagery, powering the company's AI-enabled CAD/surveying product. You ship features end-to-end — data strategy, model training/fine-tuning, evaluation, and integration — using Python and PyTorch.
Builds and deploys machine-learning perception (computer vision) systems for Saildrone's autonomous unmanned surface vehicles — training, evaluating, and productionizing models from real-world sensor data for detection, classification, segmentation, and scene understanding. Core stack: Python and PyTorch, with C++, edge deployment, and inference optimization (ONNX/TensorRT/CUDA) as pluses.
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