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[Registered company name] FZ-LLC · [Registered address], Ras Al Khaimah, United Arab Emirates
Oracle
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As a Principal Core Infrastructure Engineer (AI/ML Forward Deployed Infrastructure Engineer), you will play a critical role in designing, implementing, and maintaining the infrastructure that supports our customers AI and machine learning initiatives.
You will work closely with customer technical teams (data scientists, software engineers, and Infra/IT professionals) and internal cloud services team to ensure their AI/ML solutions are deployed efficiently, securely, and at scale.
Your expertise will be crucial in optimizing our infrastructure for performance, reliability, and cost-effectiveness. In this hands-on technical role you’ll troubleshoot issues for proof of concept (POC) and production deployments.
Qualifications:
Experience in scripting and automation using tools like Ansible, Terraform, Python and/or Kubernetes.
Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (like Slurm, PBS, etc.) for managing distributed systems.
Solid understanding of networking concepts, security principles, and best practices.
Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders.
Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration.
Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.
Preferred Qualifications
Strong proficiency in at least one of the programming languages such as Python, Rust, Go, Java, or Scala
Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn and their deployment in production environments is a plus.
Familiarity with DevOps practices and tools for continuous integration, deployment, and monitoring (e.g., Jenkins, GitLab CI/CD, Prometheus).
Strong experience with High-Performance Computing/GPU systems
ADDITIONAL INFORMATION:
Core Responsibilities
Strategic Thought Leadership:
- You should also have a demonstrated ability to think strategically about business, products, and technical challenges.
Business Experience:
- Understand the challenges in working with large customers.
Planning & Execution:
- Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately sized project or initiative. Efficiently delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines.
Collaboration & Partnership:
- Collaborates across the organization to align on expectations and achieve shared objectives. Leverages understanding of business leaders, stakeholders, and/or customers to ensure proposed solutions meet their needs. Supports inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected.
Problem Solving:
- Identifies and addresses moderately complex issues by analyzing a wide range of data and/or information to identify solutions in accordance with standard practices. Proactively escalates unresolved or critical issues with a thorough assessment and suggests potential solutions. Reviews, contributes to, and documents problem solving strategies.
Continuous Learning:
- Pursues learning opportunities to expand knowledge and skills and/or tools in new areas and stays abreast of the latest industry trends and best practices. Proactively seeks and leverages ongoing feedback and training to improve skills. Coaches and mentors junior team members, fostering continuous learning and knowledge sharing within and across teams.
Continuous Improvement:
- Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Solicits feedback from others on ideas for alternative approaches and methods for continued improvement.
Performance and Development:
- Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations.
Career Level - IC4
