Engineer / AI-ML Full Stack Developer (LB - 09162025- FTEFSD)
At RippedBoxStation · Manila, Metro Manila, Philippines
- Data and ML
- Full-time
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Where you can work from
Open to the Philippines
“Manila, Metro Manila, Philippines”
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- First seen by us
- 9 October 2026
- Last checked
- 13 minutes ago
Job description
From RippedBoxStation’s job post, as they wrote it.
Position: Engineer / AI-ML Full Stack Developer
Number of hours: 40 hours/week
Schedule: Eastern Timezone
Overview
We are seeking a highly skilled Engineer/AI-ML Full Stack Developer to design, build, and deploy intelligent, data-driven solutions that optimize business processes and decision-making. This role combines expertise in AI/ML development with full-stack web application engineering, making it ideal for someone who thrives at the intersection of cutting-edge technology and practical business applications.
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Key Responsibilities
* AI/ML Development: Design, develop, train, and deploy AI/ML models that solve real-world business challenges.
* Full Stack Engineering: Build and maintain responsive, scalable, and secure web applications (front-end, back-end, and database integration).
* Automation & Custom Solutions: Create systems that enhance efficiency, streamline workflows, and support data-driven decision-making.
* UI/UX Implementation: Develop modern, responsive interfaces using HTML, CSS, and JavaScript frameworks.
* Collaboration: Work closely with design, business, and operations teams to define requirements and deliver innovative solutions.
* System Performance: Ensure applications are optimized for scalability, speed, and security.
* Continuous Learning: Stay updated on emerging AI, ML, and software development technologies to integrate best practices into projects.
Qualifications
* Proven experience as a Full Stack Developer with hands-on expertise in AI/ML applications.
* Proficiency in front-end technologies (HTML, CSS, JavaScript, React, Angular, or Vue).
* Strong knowledge of back-end frameworks
* Experience with databases (SQL and NoSQL).
* Solid understanding of machine learning frameworks
* Knowledge of cloud platforms (AWS, Azure, or GCP) for scalable AI deployments.
* Strong problem-solving skills with attention to detail.
* Excellent communication and collaboration skills.
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