AICS is a division of ASUS, with the mission to transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning (ML), and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. 

We are looking for an AI Service Deployment Engineer to lead the deployment and maintenance of AI services across cloud and on-prem environments. This role involves working with Kubernetes, Docker, CI/CD pipelines, and collaborating closely with ML engineers to optimize performance. Ideal candidates have a strong DevOps background, experience with AI model deployment, and solid scripting skills.  

Responsibilities:

• Design, implement, and maintain deployment pipelines for AI services using Kubernetes, Docker, and CI/CD tools. 
• Deploy AI models in production environments (cloud, or on-prem). 
• Collaborate with ML engineers to optimize inference performance using GPU 
• Manage infrastructure provisioning using IaC tools such as Terraform or Ansible. 
• Implement robust monitoring, logging, and alerting for deployed services. 
• Support rollouts, version control, A/B testing, and rollback strategies for AI services. 
• Troubleshoot deployment or runtime issues in production environments. 
• Ensure compliance with security and data governance requirements. 

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field. 
• 3+ years of experience in DevOps or infrastructure engineering. 
• Proficient with containerization (Docker) and orchestration (Kubernetes). 
• Experience with cloud platforms (Azure or GCP) or on-prem VM deployment. 
• Familiar with CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions. 
• Experience working with ML model servers. 
• Solid scripting skills (Python, Bash, etc.).