Embedded Software Engineer

Job 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, Computer Engineering, 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

Optional Note 

This role involves developing and deploying AI/ML solutions in engineering environments, including potential integration with embedded or edge computing systems.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1765450 Pinky Lim (Lim Lee Phing)