Ai Platform Engineer
7 days ago
Position Title: AI Platform Engineer
Location: Onsite role - Riyadh
Desired Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience: Overall, 7 plus year exp 3+ years of experience in ML/AI support or related roles.Strong hands-on experience with Kubernetes in production environments.
Number of positions: 1
Key Responsibilities
Documentation: Create and maintain technical documentation for support procedures, deployment steps, and troubleshooting guides specific to Kubernetes and AI tools.Collaboration: Work closely with data scientists, software engineers, and DevOps teams to integrate ML solutions into production environments, ensuring that AI tools are effectively utilized within Kubernetes.Training & Mentorship: Provide training and mentorship to junior support engineers and team members on ML/AI technologies and Kubernetes best practices, emphasizing the synergy between the two.Technical Skills:Proficient in containerization technologies (Docker, Kubernetes).
Familiarity with ML frameworks (TensorFlow, PyTorch, etc.) and their deployment on Kubernetes.Experience with cloud platforms (AWS, GCP, OpenShift etc).Knowledge of scripting languages (Python, Bash).Soft Skills:Excellent problem-solving skills.Strong communication and teamwork abilities.Ability to work in a fast-paced, dynamic environment.Preferred QualificationsCertification in Kubernetes (CKA, CKS) or related fields.Experience with ML Ops tools (Kubeflow, MLflow, etc.) that run on Kubernetes.Familiarity with DevOps practices and tools (Terraform, Jenkins, etc.).
**Job Type**: Contract
Contract length: 12 months
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