Cloud & Infrastructure Management

• Manage and monitor AWS services, including EC2, S3, IAM, and other relevant AWS tools.
• Deploy, configure, and maintain cloud-based applications and environments.
• Ensure cloud resources are optimized for cost, performance, and security.

Development & Automation

• Write, debug, and maintain Python scripts for automation, data processing, and AI workflows.
• Collaborate via GitHub for version control, code reviews, and project tracking.
• Assist in developing, training, and deploying AI/ML models.

AI/ML & Data Handling (Preferred)

• Support model training pipelines, dataset preparation, and labeling.
• Use tools like Label Studio for dataset annotation.
• Assist in object detection and computer vision projects, particularly with YOLO frameworks.

Virtual Assistant & Coordination Tasks

• Document processes, workflows, and technical guides.
• Communicate effectively with team members to relay updates, clarify requirements, and track deliverables.
• Provide technical support and troubleshooting for internal teams.

Experience with machine learning or AI model training.

• Familiarity with YOLO for computer vision tasks.
• Hands-on experience with Label Studio or similar labeling tools.
• Knowledge of ML Ops concepts and workflows.
• Proven hands-on experience with AWS services (EC2, S3, IAM, etc.).
• Strong Python programming skills.
• Solid understanding and active use of GitHub for collaboration.
• Proactive, self-motivated, and able to work independently with minimal supervision.
• Excellent written and verbal communication skills.

• Work-from-home setup
• Long-term/full-time position
• Salary offer is at 41,329.53 gross
• 5,000 Client Deployment Allowance
• Pay begins on day 1 of training
• HMO, Loyalty Investment Fund, Memorial Plan, and other benefits
•  Paid Leaves
• Attendance and performance-based incentives
• Quarterly In-person Team-Buildings
• Annual Company Outing
• Annual Year-End Party