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About DeepLight AIDeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations. Role OverviewThe AI Platform Engineer helps design, build and maintain the on‑premises AI infrastructure for our client, a market leader in the environment sector. The engineer plays a key role in enabling large‑scale machine learning and generative AI workloads by developing robust, scalable, and secure platform solutions that support data scientists and ML engineers across the organisation. ResponsibilitiesDesign, deploy, and manage on‑premises Kubernetes clusters for AI and ML workloadsDevelop and maintain infrastructure‑as‑code using tools like Terraform, Helm, or AnsibleBuild and optimise AI/ML pipelines and MLOps workflows for model training, deployment, and monitoringCollaborate with data science and engineering teams to deliver high‑performance computing environments for large model training and inferenceImplement resource management, observability, and scaling strategies for GPU‑based workloadsManage containerisation, networking, and storage solutions for AI workloadsEnsure security, compliance, and reliability of the AI platformAutomate operational processes and continuously improve platform efficiencyQualificationsProven experience managing Kubernetes clusters on‑premises (not just cloud‑managed solutions)Experience working in a consultancy capacityStrong background in container orchestration, CI/CD, and automationProficiency in Linux administration, Docker, and networking fundamentalsHands‑on experience with infrastructure‑as‑code (Terraform, Helm, Ansible, etc.)Experience supporting AI/ML workloads (e.g., TensorFlow, PyTorch, Hugging Face, Ray, Kubeflow)Familiarity with GPU scheduling and resource management on KubernetesKnowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.)Strong scripting skills (Python, Bash, or Go)Understanding of DevOps and MLOps best practicesBenefits & Growth OpportunitiesCompetitive salary and performance bonusesComprehensive health insuranceProfessional development and certification supportOpportunity to work on cutting‑edge AI projectsInternational exposure and travel opportunitiesFlexible working arrangementsCareer advancement opportunities in a rapidly growing AI companyThis position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. Seniority levelMid‑Senior levelEmployment typeFull‑timeJob functionIT Services and IT ConsultingLocation: Abu Dhabi Emirate, United Arab Emirates
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