Senior Engineer, Data Engineering
Role details
Job location
Tech stack
Job description
ML engineering, data science, physics-informed modeling, and software development. You'll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI. Senior Machine Learning Engineer - Computer Vision & Anomaly Detection In this role you will design and deploy advanced ML pipelines across cloud, edge, and on-device products. You will help convert R&D breakthroughs into scalable ML features integrated into Keysight's flagship commercial platforms. Key Responsibilities * Perform segmentation, detection, and classification on multi-modal, dynamic data. * Build synthetic data and augmentation pipelines to improve robustness. * Develop production-quality software (Python / C++ / CUDA) with CI / CD best practices. * Integrate ML pipelines into Keysight's commercial products and infrastructure. * Publish findings and contribute to open-source projects when appropriate. Key Qualifications *, MSc or PhD in Computer
Requirements
Science, Electrical Engineering, Applied Math, Scientific Computing, or related field, * 5+ years in CV model development and production deployment. * Strong expertise in PyTorch (preferred), TensorFlow, Scikit-learn, OpenCV. * Familiarity with model monitoring and MLOps (MLflow, W&B, Ray). * Experience with Docker / Kubernetes, and major cloud platforms (Azure / AWS / GCP). * Excellent communication in English and cross-functional collaboration skills. * Experience with measurement systems, RF / waveform data, or signal-intelligence. * Experience interacting with customers or product-focused engineering teams. #J-18808-Ljbffr