AI Platform Engineer

About the Role

Our client is seeking a skilled AI Platform Engineer to join their rapidly expanding AI division in Cambridge . This role is crucial for building, maintaining, and scaling the robust infrastructure that supports our AI and machine learning development teams. You will work with cutting-edge technologies to ensure the reliability, efficiency, and performance of our AI platforms. The ideal candidate will have a strong background in DevOps, cloud computing, and a solid understanding of the unique requirements of AI/ML workloads. This is an excellent opportunity to contribute to the foundational elements of groundbreaking AI innovation.

Key Responsibilities

• Develop, deploy, and manage scalable AI/ML infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
• Implement and maintain CI/CD pipelines for machine learning models and AI applications.
• Automate infrastructure provisioning, configuration management, and monitoring using tools like Terraform and Ansible.
• Optimize platform performance, security, and cost-efficiency for AI workloads.
• Collaborate with AI researchers and engineers to provide support and troubleshoot platform-related issues.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in DevOps, SRE, or platform engineering roles.
• Proficiency with cloud computing platforms and containerization technologies (Docker, Kubernetes).
• Experience with infrastructure as code (IaC) tools and CI/CD best practices.
• Familiarity with machine learning operations (MLOps) and the lifecycle of AI models is a strong advantage.

Benefits

• Competitive salary and performance-related bonuses.
• Hybrid working model offering flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and skill enhancement.
• Join a leading AI research and development hub in Cambridge .