Technical Expertise: Graduate/Masters - Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science Years of Experience 5+ experience of software engineering experience with a focus on infrastructure and systems. Proven expertise in deep learning, with a strong understanding of Generative AI models along with AI Infrastructure components Demonstrate programming skills in Python, C++, and CUDA, with deep learning frameworks (PyTorch, Transformers) Have a deep understanding of neural network architectures and training methodologies Exhibit expertise in GPU programming and optimization Have experience with container technologies (Docker, Kubernetes), distributed systems and cloud computing Have experience building large-scale distributed systems and optimizing neural network performance knowledge of software development methodologies, such as Agile or Scrum. Familiarity with software engineering principles and microservices architecture is highly desirable. Communication Skills: Excellent written and verbal communication for presenting complex technical concepts to both technical and non-technical stakeholders.
