Job Title:
Data & AI Infrastructure Engineer
Location:
Dubai, UAE
Qualifications & Experience:
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related field
3–7 years of experience in designing and building infrastructure for data and AI workloads
Proven experience with cloud platforms (AWS, Azure, GCP) and hybrid environments
Strong knowledge of data lakes, analytics platforms, and AI/ML infrastructure
Responsibilities:
Design and implement infrastructure for AI, data lakes, and analytics platforms, ensuring readiness for compute, storage, and integration
Architect scalable cloud and hybrid environments for data ingestion, processing, and ML workloads
Implement secure, automated data pipelines using orchestration tools (e.g., Kubernetes, Docker, Airflow)
Integrate GPU and other accelerators to optimize AI/ML performance
Optimize performance, cost, and resiliency of large-scale data and AI platforms
Collaborate with data scientists, analysts, and stakeholders to align infrastructure with AI/ML and business needs
Monitor, troubleshoot, and maintain high-availability AI and data platforms
Requirements:
Strong experience in cloud infrastructure, containers, orchestration, and GPU/accelerator integration
Proficiency in Python, Bash, or similar scripting languages
Knowledge of security best practices and compliance for data and AI workloads
Excellent problem-solving, communication, and collaboration skills
Experience with performance tuning and cost optimization of large-scale platforms