Engineer / AI-ML Full Stack Developer (LB - 09162025- FTEFSD)

Engineer / AI-ML Full Stack Developer (LB - 09162025- FTEFSD) - Rippedboxstation | Career Page

Engineer / AI-ML Full Stack Developer (LB - 09162025- FTEFSD)

Manila, Metro Manila, Philippines

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Job Openings Engineer / AI-ML Full Stack Developer (LB - 09162025- FTEFSD)

About the job Engineer / AI-ML Full Stack Developer (LB - 09162025- FTEFSD)

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.

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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