Job Description
This is a remote position.
Philippine-based (Filipino) Applicants
TECHNICAL ASSESSMENT IS REQUIRED BY THE CLIENT BEFORE MOVING FORWARD TO THE FINAL INTERVIEW.
We are looking for a highly skilled and experienced Full Stack Developer to lead our software development initiatives. As a Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining cutting-edge web applications using a wide range of technologies.
Responsibilities :
Requirements
Work Environment & Expectations
While this is a work-from-home position, it is important to note that this is a
full-time role —not a freelance or flexible-hour arrangement. You will be expected to work a
fixed shift and maintain a high level of professionalism and accountability, just as you would in an office environment.
✅ This role requires :
Discipline and commitment to set working hours (strict shift times, not flexible)
time tracking software during work hours
Active participation in team and client calls with your camera ON
Payroll is processed bi-monthly.
We’re looking for someone who values structure, is dependable, and thrives in a role that provides consistency and clarity. If you’re seeking stability and a team that appreciates reliability, we’d love to hear from you.
Benefits
1. Monthly Salary : PHP 82,000
2. Salary will be paid on a bi-monthly basis on the 15th and 30th or 31st of each month
3. You will be paid extra for overtime and Philippines public holidays
4. Probation : 6 months and after Probation
5. HMO offered after 6-month probation
6. 13th Month Pay after 30 days
7. Annual Salary Review
8. Laptop provided after 30 days
9. Permanent work-from-home role. You will have to use your own internet.
10. SHIFT TIMES : 8AM to 5PM Philippine time, Tuesday to Saturday
Requirements
A bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field. 5+ years of experience in computer vision, specifically in segmentation techniques. Proficiency in programming languages such as Python and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch). In-depth knowledge of classical computer vision algorithms (e.g., edge detection, image segmentation). Strong understanding of convolutional neural networks (CNNs) and their applications in image analysis. Experience in training and fine-tuning deep learning models for object detection and segmentation tasks. Familiarity with dental imaging modalities, such as X-ray and intraoral cameras. Excellent problem-solving skills and the ability to work independently or as part of a team. Strong communication skills and the ability to present complex technical concepts to non-technical stakeholders.
Developer • Manila, 00, ph