Cloud Azure DevOps Engineer (AI)

Job Description:

Join the AI/Gen AI revolution with this world leading professional services company, an exciting opportunity for a DevOps Engineer to play an active role in the design, planning and execution of client AI led projects as part of an agile multi-functional team.

They are seeking a highly skilled Cloud Azure DevOps Engineer with a strong interest in Artificial Intelligence and Machine Learning development. The ideal candidate will be responsible for designing, implementing, and maintaining cloud infrastructure, ensuring seamless integration of AI/ML models, and optimising their DevOps processes.

Key Responsibilities:

• Design, deploy, and manage scalable cloud infrastructure on Azure.
• Implement and maintain CI/CD pipelines to automate deployment processes.
• Collaborate with AI/ML teams to integrate models into production environments.
• Monitor and optimise system performance, ensuring high availability and reliability.
• Develop and maintain infrastructure as code (IaC) using tools like Terraform or ARM templates.
• Troubleshoot and resolve issues related to cloud infrastructure and DevOps processes.
• Stay updated with the latest industry trends and best practices in cloud computing, DevOps, and AI/ML.

Experience/Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a DevOps Engineer or similar role.
• Strong expertise in Microsoft Azure cloud services.
• Proficiency in Python programming and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with containerisation technologies (e.g., Docker, Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI).
• Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, ARM templates).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.