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.

Place of work

Talent Job Seeker
Metro Manila
app.general.countries.Philippines

About us

Identifica el mejor Talento con Talent Job Seeker



Job ID: 10527154 / Ref: f0b852ab766fcd283afdf55224db9d68

Talent Job Seeker