Expert Engineer – Remote AI Deployment

About the role

This contract position focuses on deploying and maintaining AI‑driven solutions for enterprise customers. Working remotely, you will integrate, optimise, and troubleshoot AI models and cloud infrastructure to ensure reliable, high‑performance operations.

Key responsibilities

• Deploy AI models and cloud‑based inference systems into customer environments with minimal latency and maximal uptime.
• Conduct technical onboarding sessions and provide live debugging support during integration.
• Monitor system performance via SLA dashboards and recommend infrastructure adjustments.
• Write and maintain deployment documentation, runbooks, and troubleshooting guides.
• Collaborate with product and engineering teams to relay field feedback and influence roadmap priorities.

Required profile

• Bachelor’s degree in computer science, engineering, or a related quantitative field.
• 3+ years of hands‑on experience deploying AI systems in production.
• Strong ability to communicate technical concepts to non‑technical stakeholders.

Required skills

• Python programming.
• Infrastructure‑as‑code tools such as Terraform or Ansible.
• Cloud platforms: AWS, GCP, or Azure.
• Container orchestration with Kubernetes.
• Debugging distributed systems using logs, metrics, and network diagnostics.

What we offer

• Competitive compensation based on experience.
• Fully remote work with flexibility to work from anywhere.
• Opportunity to influence AI adoption at scale across multiple industries.