Remote AI & AWS Cloud Engineer — Python Automation

School Of Virtual Assistance (SOVA); Philippines; On-site; PHP 499,000 - 614,000; Full time

Benefits offered by this job

Work-from-home setup

Long-term full-time position

HMO Coverage

Loyalty Investment Fund

MP2 Savings Program

Annual company events

Job summary

School Of Virtual Assistance (SOVA) in the Philippines is seeking a Cloud & ML Engineer to manage AWS-based infrastructure and AI workflows. The role combines cloud ops, automation with Python, and model deployment within a remote, long-term, full-time setup.

You will work with YOLO, Label Studio, GitHub, and ML pipelines, supporting data handling, labeling, and collaboration across teams while driving cost, performance, and security improvements.

Qualifications

• 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.
• Full stack dev knowledge is a plus.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Skills

machine learning

AI model training

YOLO

Label Studio

ML Ops

AWS

Python

GitHub

Full stack dev

Tools

Label Studio

AWS

GitHub

YOLO

Job description

School Of Virtual Assistance (SOVA) in the Philippines is seeking a Cloud & ML Engineer to manage AWS-based infrastructure and AI workflows. The role combines cloud ops, automation with Python, and model deployment within a remote, long-term, full-time setup.

You will work with YOLO, Label Studio, GitHub, and ML pipelines, supporting data handling, labeling, and collaboration across teams while driving cost, performance, and security improvements.