Engineer / AI-ML Full Stack Developer (LB - 09162025- FTEFSD)
Rippedboxstation · Manila, Metro Manila, Philippines ·
- Work mode
- Remote
- Category
- Fullstack
Rippedboxstation · Manila, Metro Manila, Philippines ·
NCS PTE. LTD. · Singapore
Pavago · Portugal
ncs3 · Singapore, sg
Full-stack developer designing, building, and deploying AI/ML-powered web applications—spanning front-end interfaces, back-end services, database integration, and machine learning model development.
Position: Engineer / AI-ML Full Stack Developer
Number of hours: 40 hours/week
Schedule: Eastern Timezone
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.
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.
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.