AI/ML Engineer_100920

Company:IT Services Organization Key Skills: Python, PyTorch Mobile, TensorFlow Lite, ONNX, Docker, Kubernetes, CI/CD, REST APIs, C/C++, OpenCV, YOLO, MLflow Roles & Responsibilities: Design, develop, and optimize AI/ML models for edge deployment.Build edge inference pipelines using TensorFlow Lite, PyTorch Mobile, and ONNX.Optimize models using quantization, pruning, and performance tuning techniques.Integrate AI models into embedded and IoT platforms.Develop real-time AI applications for edge devices.Containerize and deploy AI services using Docker, Kubernetes, and CI/CD pipelines.Integrate AI models with REST APIs and support low-latency data processing.Collaborate with cross-functional teams to deliver scalable AI solutions.Experience Required: 8-16 years of experience in AI/ML development.Strong hands-on experience with Python, TensorFlow Lite, PyTorch Mobile, and ONNX.Experience with Edge AI model deployment and optimization.Proficiency in C/C++ for edge AI integration.Experience with Docker, Kubernetes, and CI/CD.Knowledge of OpenCV, YOLO, MLflow, AWS/Azure, or MLOps is an added advantage.Education: Any Graduation Company:IT Services Organization Key Skills: Python, PyTorch Mobile, TensorFlow Lite, ONNX, Docker, Kubernetes, CI/CD, REST APIs, C/C++, OpenCV, YOLO, MLflow Roles & Responsibilities: Design, develop, and optimize AI/ML models for edge deployment.Build edge inference pipelines using TensorFlow Lite, PyTorch Mobile, and ONNX.Optimize models using quantization, pruning, and performance tuning techniques.Integrate AI models into embedded and IoT platforms.Develop real-time AI applications for edge devices.Containerize and deploy AI services using Docker, Kubernetes, and CI/CD pipelines.Integrate AI models with REST APIs and support low-latency data processing.Collaborate with cross-functional teams to deliver scalable AI solutions.Experience Required: 8-16 years of experience in AI/ML development.Strong hands-on experience with Python, TensorFlow Lite, PyTorch Mobile, and ONNX.Experience with Edge AI model deployment and optimization.Proficiency in C/C++ for edge AI integration.Experience with Docker, Kubernetes, and CI/CD.Knowledge of OpenCV, YOLO, MLflow, AWS/Azure, or MLOps is an added advantage.Education: Any Graduation