AI Platform Engineer

About the Role

Our client is seeking an experienced AI Platform Engineer to join their team in East London. You will be responsible for building and maintaining the infrastructure and tools that enable the development and deployment of AI and machine learning models at scale. This role requires a strong background in cloud infrastructure, DevOps practices, and a solid understanding of the ML lifecycle. You will work closely with data scientists and engineers to ensure a seamless and efficient AI development process. This is an exciting opportunity to contribute to the core AI capabilities of the organization.

Key Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML workloads.
• Develop and maintain CI/CD pipelines for ML models and applications.
• Automate ML workflows, including data ingestion, model training, deployment, and monitoring.
• Implement tools and platforms for data versioning, model management, and experiment tracking.
• Ensure the reliability, security, and performance of the AI platform.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in DevOps, Cloud Engineering, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with machine learning concepts and the ML lifecycle.

Benefits

• Competitive salary and comprehensive benefits.
• Opportunity to work on advanced AI infrastructure.
• Professional growth and development opportunities.
• Collaborative team environment in East London.
• Contribute to building a cutting-edge AI platform.

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