Machine Learning & AI Engineer

In this role, you will work in a lab environment, lead the development and implementation of cutting-edge AI solutions across various domains, including computer vision, natural language processing, and software infrastructure, to revolutionize our failure analysis methodologies and lab operations with unprecedented efficiency. The ideal candidate will have a proven track record in using machine learning and AI to solve challenging problems. Minimum Qualifications Ph.D. or master's degree in Software Engineering, Computer Science, AI&ML, or a related field. Extensive experience in AI research, application and software development with multiple successful project deployments. Proficiency in one or more programming languages such as Python, C++, Java, or Scala. Demonstrated experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Strong understanding and practical experience with software development tools and practices, including Git for version control, Docker for containerization, and CI/CD pipelines. Strong English communication skills, including the ability to seek direction, listen to feedback, and convey complex findings clearly and concisely. Preferred Qualifications Expertise in X-Ray/CT/MRI/SEM/OM related Image Processing and Analysis, Computer Graphics, data processing algorithms. Adaptability to a fast-paced environment and the ability to shift work scopes to meet business needs, with a strong aptitude for learning new techniques. Ability to prioritize and manage multiple high-priority tasks simultaneously. Ability and collaborate closely across different organizations globally.