AI Platform Engineer

About the Role

Our client is looking for a skilled AI Platform Engineer to join their innovative team in Cambridge . This hybrid role focuses on building and maintaining the robust infrastructure that powers our client's cutting-edge AI and machine learning initiatives. You will be instrumental in ensuring the reliability, scalability, and performance of our AI platforms, enabling our data science and engineering teams to develop and deploy models efficiently. This is an exciting opportunity to work at the intersection of AI and infrastructure within a world-renowned hub of technological advancement.

Key Responsibilities

• Design, build, and manage scalable AI/ML infrastructure and platforms.
• Implement and maintain CI/CD pipelines for machine learning models and applications.
• Develop and optimize workflows for data ingestion, model training, and deployment (MLOps).
• Ensure the security, reliability, and performance of AI infrastructure.
• Collaborate with data scientists and software engineers to understand and meet their platform needs.
• Monitor system performance, troubleshoot issues, and implement solutions to enhance stability.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software engineering or DevOps, with a focus on AI/ML infrastructure.
• Proficiency in scripting languages such as Python, Bash.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Knowledge of MLOps principles and tools (e.g., MLflow, Kubeflow).
• Strong understanding of distributed systems and data processing frameworks.

Benefits

• Competitive salary and comprehensive benefits.
• Hybrid working model offering flexibility in Cambridge .
• Opportunity to work with state-of-the-art AI technologies and infrastructure.
• Continuous learning and professional development opportunities.
• A stimulating environment within a leading technology and research community.