🚀 Location: Remote/On-Site (Flexible)
💼 Company: ND Tech Solutions
📩 Apply Now: Send your resumes to [email protected]

Are you passionate about the intersection of Machine Learning and Cloud Technology? Do you have hands-on experience with MLOps, AWS, and large-scale ML workloads? Join us as a Cloud Admin – MLOps & AWS expert and help us build robust, scalable, and cutting-edge ML solutions!

Key Responsibilities:

• MLOps Excellence:
  Manage ML lifecycles, model versioning, and experiment tracking.
• AWS Mastery:
  Design and manage infrastructure using AWS services like SageMaker, EKS, EC2, S3, IAM, CloudWatch, and ECR.
  Implement AWS-specific ML best practices.
• GPU & Distributed Training Expertise:
  Set up and manage GPU-based workloads on EKS with Volcano Scheduler.
  Implement distributed ML training systems.
• Containerization & Orchestration:
  Containerize ML models with Docker and orchestrate with Kubernetes.
• Data Management:
  Handle large-scale ML datasets with optimized formats, versioning, and lineage tracking.
  Work with distributed data processing frameworks and data lakes.
• CI/CD & Automation:
  Build CI/CD pipelines for ML workflows and manage infrastructure using IaC tools like Terraform and CloudFormation.
• Programming & Frameworks:
  Write clean, efficient Python and Bash scripts.
  Work with YAML and popular ML frameworks.

What We’re Looking For:

• MUST HAVE:
  • Proven experience in MLOps (not just DevOps).
  • Expertise in AWS MLOps tools and services.
  • Hands-on experience with NVIDIA GPUs and distributed training.
  • Strong Docker, Kubernetes, and Terraform/CloudFormation skills.
  • Proficiency in Python and ML frameworks.
• NICE TO HAVE:
  • Experience with large-scale dataset optimization and lineage tracking.
  • Knowledge of CI/CD for ML workflows.

🌟 Why Join Us?
At ND Tech Solutions, we’re pushing the boundaries of AI and Cloud innovation. Be part of a dynamic, forward-thinking team working on impactful projects with global clients.

📧 How to Apply:
Send your updated resume to [email protected] with the subject line “Cloud Admin – MLOps & AWS Application.”

Let’s shape the future of MLOps together! 🌐