Full-Stack Engineer, AI Platform (PhD Required)

Role Overview:
We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team. The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field and a strong background in designing and building AI-driven systems. This role will focus on developing scalable AI infrastructure, optimizing deep learning pipelines, and deploying robust machine learning solutions in production environments.

Responsibilities:
Design, develop, and optimize scalable AI and machine learning infrastructure.
Build and maintain high-performance, distributed systems for AI model training and inference.
Develop and implement novel algorithms to improve AI model efficiency and accuracy.
Work closely with data scientists and machine learning engineers to integrate cutting-edge AI research into production environments.
Ensure reliability, security, and performance of AI-driven applications.
Collaborate with cross-functional teams to align AI solutions with business needs.
Stay up to date with the latest advancements in AI and software engineering.

Requirements:
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Strong programming skills in Python, C++, or Java.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
Proficiency in distributed computing and experience with cloud platforms (AWS, GCP, Azure).
Deep understanding of deep learning architectures, model optimization, and neural network deployment.
Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
Knowledge of data pipelines, ETL workflows, and large-scale data processing.
Strong problem-solving skills, analytical thinking, and ability to work in a fast-paced environment.