Job Summary We are seeking Embedded Software Engineers (AI/ML) to develop and deploy AI-driven solutions for engineering and semiconductor applications, including embedded and edge computing systems. Key Responsibilities Develop AI and machine learning software solutions for engineering and embedded applications Design, train, evaluate, and optimize machine learning and deep learning models Develop, test, and maintain software applications using Python Implement AI models using frameworks such as TensorFlow, PyTorch, or Keras Collaborate with cross-functional engineering teams to integrate AI solutions into embedded systems and products Analyze datasets and improve model performance through tuning and optimization techniques Conduct debugging, troubleshooting, and performance optimization of AI software systems Document software design, development processes, testing results, and technical specifications Requirements Bachelor’s degree in Computer Science, ComputerEngineering, Artificial Intelligence, or related field Strong programming skills in Python Hands-on experience with machine learning and deep learning frameworks (TensorFlow, PyTorch, or Keras) Good understanding of machine learning concepts, data processing, and model training techniques Ability to develop, debug, and optimize AI/ML-based software applications Strong analytical, problem-solving, and communication skills Experience in engineering or industrial AI/ML applications is an advantage Familiarity with cloud AI platforms (e.g., AWS, Azure, GCP) and GPU computing is an advantage Knowledge of Git or other version control systems Experience in embedded systems or edge AI development is an advantage