The role involves managing and optimizing AWS cloud infrastructure while developing and maintaining Python-based automation and AI/ML workflows. Additionally, the candidate will support dataset preparation, model training, and provide technical support through documentation and team coordination.
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.
Primary Task
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.
Offer
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
Benefits, such as: Enjoy benefits valued at 324,000 pesos annually
HMO Coverage: Medicard with ₱200,000 Maximum Benefit Limit, Private Room Plan plus one (1) approved dependent at ₱100,000 Maximum Benefit Limit
Loyalty Investment Fund: We set aside savings for you—withdraw after 5 years, with more perks at your 10th year.
Pag-IBIG MP2 Savings Program: Where the company will contribute monthly to your MP2 account!
Memorial Plan Coverage: St. Peter Memorial Plan granted after regularization
Work-life balance benefit: 15 annual paid leaves for regular employees to rest, recharge, and enjoy personal time.
Attendance and performance-based incentives: Get up to 142,000 pesos worth of performance-based incentives annually
Perfect Attendance
KPI Superstars
Shoutout Incentive
Referral Incentive
QA Rockstar
C3 Champions
Client Obs Incentive
Quarterly In-person Team-Buildings
Annual Company Outing - A yearly team adventure to unwind and celebrate together
Annual Year-End Party - A fun-filled party capped with exciting grand raffle giveaways!
Annual Performance Review - Performance-based reviews with opportunities for pay raises.
Annual Sports Fest - Show your team spirit and compete in fun games and tournaments!
13th-month pay - Guaranteed additional month’s salary every year.
“I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!”
— Sarah J.
·
Marketing Manager
★★★★★
Verified
