Job Opportunities in Saudi Arabia
September 18, 2024
EndemandIT & Data Solutions LLC
الرياض
CONTRACT
AI Platform Engineer
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
Technical Support: Provide second and third-level support for ML/AI applications, troubleshooting issues related to model deployment, data pipelines, and system integrations running on Kubernetes.Kubernetes Management: Manage and optimize Kubernetes clusters tailored for AI workloads, ensuring high availability, scalability, and performance, particularly for GPU-accelerated applications.
Deployment & CI/CD: Implement and maintain CI/CD pipelines for ML models, facilitating seamless deployment processes and rollback strategies within Kubernetes.Monitoring & Performance Tuning: Utilize monitoring tools to track application performance in Kubernetes, analyze logs, and implement tuning measures to enhance efficiency of AI workloads.
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 Dev Ops 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 (Tensor Flow, Py Torch, etc.) and their deployment on Kubernetes.Experience with cloud platforms (AWS, GCP, Open Shift…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 Qualifications Certification in Kubernetes (CKA, CKS) or related fields.Experience with ML Ops tools (Kubeflow, MLflow, etc.) that run on Kubernetes.Familiarity with Dev Ops practices and tools (Terraform, Jenkins, etc.).
Job Type: Contract
Contract length: 12 months
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
Technical Support: Provide second and third-level support for ML/AI applications, troubleshooting issues related to model deployment, data pipelines, and system integrations running on Kubernetes.Kubernetes Management: Manage and optimize Kubernetes clusters tailored for AI workloads, ensuring high availability, scalability, and performance, particularly for GPU-accelerated applications.
Deployment & CI/CD: Implement and maintain CI/CD pipelines for ML models, facilitating seamless deployment processes and rollback strategies within Kubernetes.Monitoring & Performance Tuning: Utilize monitoring tools to track application performance in Kubernetes, analyze logs, and implement tuning measures to enhance efficiency of AI workloads.
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 Dev Ops 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 (Tensor Flow, Py Torch, etc.) and their deployment on Kubernetes.Experience with cloud platforms (AWS, GCP, Open Shift…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 Qualifications Certification in Kubernetes (CKA, CKS) or related fields.Experience with ML Ops tools (Kubeflow, MLflow, etc.) that run on Kubernetes.Familiarity with Dev Ops practices and tools (Terraform, Jenkins, etc.).
Job Type: Contract
Contract length: 12 months
We regret to inform you that this job opportunity is no longer available
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