💼 وظائف
AI/CLOUD ENGINEER - Indians Only
قابل للتفاوض
الرياض · نُشر 2h ago · 1 مشاهدة
قابل البائع في مكان عام ولا تدفع أبدًا قبل معاينة السلعة. Expatriates KSA لا يتعامل مع المدفوعات.
Description
🤖 JOB POSTING:
📍 Location: Remote / Hybrid
💼 Employment Type: Full-Time
📌 About the Role
We are looking for a skilled AI/Cloud Engineer to architect, build, and deploy scalable artificial intelligence models and cloud infrastructure. You will bridge the gap between machine learning and cloud operations to build high-performance, resilient AI-driven systems.
📋 Key Responsibilities
• Design, deploy, and maintain scalable cloud infrastructure for AI/ML workloads.
• Build automated MLOps pipelines for model training, testing, deployment, and monitoring.
• Optimize cloud resource utilization, security, and cost-efficiency across platforms.
• Integrate LLMs, machine learning models, and data pipelines into production applications.
• Collaborate with data scientists, software developers, and security teams.
• Ensure data privacy, governance, and compliance within cloud environments.
🎓 Qualifications & Requirements
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 4+ years of experience in cloud engineering, DevOps, or MLOps roles.
• Expertise in major cloud platforms (AWS, Azure, or GCP).
• Strong proficiency in Python, Docker, Kubernetes, and Infrastructure as Code (Terraform).
• Hands-on experience deploying ML frameworks (PyTorch, TensorFlow) to cloud environments.
📩 How to Apply
Send your resume and portfolio to:
📍 Location: Remote / Hybrid
💼 Employment Type: Full-Time
📌 About the Role
We are looking for a skilled AI/Cloud Engineer to architect, build, and deploy scalable artificial intelligence models and cloud infrastructure. You will bridge the gap between machine learning and cloud operations to build high-performance, resilient AI-driven systems.
📋 Key Responsibilities
• Design, deploy, and maintain scalable cloud infrastructure for AI/ML workloads.
• Build automated MLOps pipelines for model training, testing, deployment, and monitoring.
• Optimize cloud resource utilization, security, and cost-efficiency across platforms.
• Integrate LLMs, machine learning models, and data pipelines into production applications.
• Collaborate with data scientists, software developers, and security teams.
• Ensure data privacy, governance, and compliance within cloud environments.
🎓 Qualifications & Requirements
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 4+ years of experience in cloud engineering, DevOps, or MLOps roles.
• Expertise in major cloud platforms (AWS, Azure, or GCP).
• Strong proficiency in Python, Docker, Kubernetes, and Infrastructure as Code (Terraform).
• Hands-on experience deploying ML frameworks (PyTorch, TensorFlow) to cloud environments.
📩 How to Apply
Send your resume and portfolio to:
