AI Infrastructure Engineer
Efada Technology
Multiple VacanciesEmployer Active
Posted on 30 Oct
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
2 Vacancies
Job Description
Roles & Responsibilities
Design, implement, and maintain scalable AI infrastructure solutions to support machine learning and data-driven applications.
Collaborate with data scientists, software engineers, and IT teams to optimize AI workflows and deployment pipelines.
Monitor system performance, troubleshoot issues, and ensure high availability and reliability of AI platforms.
Automate the provisioning, configuration, and management of AI infrastructure using modern DevOps tools and practices.
Evaluate and integrate new hardware and software technologies to enhance AI infrastructure capabilities.
Develop and enforce security best practices for AI systems, ensuring data privacy and compliance.
Manage cloud and on-premises resources for AI workloads, optimizing for cost, performance, and scalability.
Document infrastructure architecture, processes, and best practices for internal knowledge sharing.
Provide technical support and guidance to internal teams regarding AI infrastructure usage and optimization.
Stay updated with industry trends and emerging technologies in AI infrastructure, recommending improvements as needed.
Desired Candidate Profile
Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field.
3 to 5 years of experience in IT infrastructure, with a focus on supporting AI or machine learning environments.
Proficiency in managing cloud platforms such as AWS, Azure, or Google Cloud for AI workloads.
Hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
Strong understanding of networking, storage, and security principles in distributed computing environments.
Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible, or similar).
Experience with monitoring, logging, and performance tuning of AI systems.
Proficient in Linux/UNIX or Windows environments, including scripting and administration.
2+ years in deploying VMWare and/or Redhat cloud technologies.
Familiarity with cloud data services and big data processing tools.
Strong automation development skills. Needs to be proficient in one or more automation languages [i. e. Ansible, Cloud Formations, Chef, Puppet, Terraform].
Professional knowledge of cloud computing delivery models (IaaS, PaaS, and SaaS) and deployment models related to Public, Private and Hybrid Cloud service
Strong background in network architecture, database programming (SQL/NoSQL), and data modeling.
Deep understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security Knowledge of routing/switching technologies.
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- AI Infrastructure Engineer
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