Computer Vision Developer

MEGA PRIME FOODS INCORPORATED; Quezon City; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

MEGA PRIME FOODS INCORPORATED is seeking a Computer Vision Engineer to design, build, and deploy ML/DL solutions that analyze visual data and integrate into enterprise software. You will work on object recognition, image analysis, and video processing within production pipelines.

The role emphasizes data curation, model training, and end-to-end system integration, with a strong focus on code quality, testing, and cross‑functional collaboration.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Data Science, or a related field.
• 3–5 years hands-on software development experience with a focus on computer vision projects.
• Proficiency in Python and CV toolkits, with strong understanding of model training and deployment pipelines.
• Practical knowledge of unit/integration testing, version control, API integration, and debugging workflows.

Responsibilities

• Research, design, and implement computer vision algorithms for image analysis and object detection.
• Train and fine‑tune deep learning models on large visual datasets.
• Curate and annotate data to create robust training datasets.
• Integrate computer vision pipelines into core applications for end-to-end stability.
• Evaluate new tools and libraries to improve development efficiency and code quality.

Skills

Python

Problem solving

Collaboration

Secure coding

API integration

Education

Bachelor’s degree in Computer Science/Engineering/Data Science

Tools

OpenCV

PyTorch

TensorFlow

CUDA

CVAT

Git

Job description

Role Overview

The Computer Vision Engineer designs, builds, and deploys machine learning and deep learning solutions that enable systems to analyze and interpret visual data. Reporting to the Application Developer Associate Manager, this role builds production-ready computer vision algorithms for tasks like object recognition, image analysis, and video processing, integrating them into broader enterprise software applications.

Key Responsibilities

• Algorithm Development: Research, design, and implement computer vision algorithms for image segmentation, object detection, and visual tracking.

• Model Training & Fine-Tuning: Train and optimize deep learning models on large visual datasets to elevate performance, precision, and processing efficiency.

• Data Curation & Annotation: Collect, clean, and pre-process image and video streams, creating accurate annotation datasets for robust model training.

• System Integration & Deployment: Integrate computer vision pipelines into core applications, ensuring end-to-end stability, scalability, and security.

• Tool & Library Assessment: Evaluate emerging development tools, third-party libraries, and CV frameworks to accelerate engineering workflows and maintain high code quality.

Qualifications & Requirements

• Education: Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Data Science, or a related field.

• Experience: 3 to 5 years of hands‑on software development experience, with direct focus on application development and computer vision projects.

• Core Technical Stack: Proficiency in Python, OpenCV, PyTorch, TensorFlow, CUDA, or CVAT for developing computer vision models and pipelines.

• Engineering Best Practices: Practical knowledge of unit/integration testing, version control tools (Git), API integration, and debugging workflows.

Key Competencies

• Strong problem‑solving skills to optimize models for execution speed, memory footprint, and accuracy.

• Ability to collaborate effectively across functional business units, translating complex technical limits into non‑technical terms.

• High attention to detail regarding secure coding standards, data preprocessing, and systematic test coverage.