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Build and deploy AI/ML models and MLOps pipelines using cloud AI services, Docker, FastAPI, and MLflow. Focus on production-grade systems, CI/CD, and model lifecycle management.
Build production-grade AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
Build and deploy AI/ML applications using cloud services and GenAI models, focusing on production-ready pipelines and MLOps practices.
Design and build AI-powered applications using cloud/on-prem pipelines, applying generative models (LLMs) and other AI techniques like deep learning and chatbots.
Build production-grade AI systems using cloud AI services, GenAI models, and MLOps pipelines; deploy deep learning models and mentor teams.
Design and deploy enterprise-grade AI solutions using Generative and Agentic AI frameworks, integrating intelligent insights into workflows to drive business transformation.
Design and build AI-driven applications using cloud AI services, generative models, and deep learning. Lead teams to deliver production-ready solutions and mentor junior engineers.
Build and maintain production-grade AI pipelines, deploy generative models, and monitor LLM performance using cloud-native tools and MLOps practices.
Build production-ready AI systems using cloud AI services, LLMs, and deep learning frameworks like TensorFlow/PyTorch, integrating solutions like chatbots and image processing.
Develop embedded C/C++ software for airway-management devices, integrating cameras and sensors with Linux-based systems and exploring computer-vision features in a regulated medical-device environment.
Principal Architect designs and leads the autonomous-driving software platform for Valeo’s ADAS products, including sensor fusion, computer vision, and embedded ECU architectures.
Builds and evolves C++ software for 3D smart cameras and a new common platform, including GUI tools and embedded ARM systems.
Lead a team to design, build, and optimize scalable data pipelines and backend systems using Java, ETL tools, and cloud infrastructure for mission-critical government applications.
Build production-ready AI systems using LLMs, cloud AI services, and generative models. Design pipelines, deploy models, and mentor teams to solve complex challenges.
Build and deploy advanced AI/ML models for cancer diagnostics, leveraging genomic and clinical data to improve early detection and precision oncology outcomes.
Senior AI/ML engineer building models for cancer diagnostics and precision oncology using Python, TensorFlow/PyTorch, and generative AI techniques to analyze biological and clinical data.
Design and verify FPGA hardware for defense systems using VHDL, targeting AMD/Altera/Microchip devices and collaborating with systems engineers.
Lead FPGA design and architecture for defense electronics using VHDL, targeting Xilinx/Altera/Microsemi devices, and verify with constrained-random testing.
Analyzes electro-optical and infrared sensor data to detect targets, track objects, and develop algorithms for government test events using tools like MATLAB and Python.
Design and deploy AI-powered applications using cloud services and generative models, managing end-to-end ML pipelines for production-grade systems.
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