Top Artificial Intelligence Jobs in Quezon City

Lead AI experiments, develop AI solutions, collaborate with teams, and maintain AI models in production within the financial sector.

Join the AI Automation team as an Engineer, focusing on automation solutions, scripting, and developing impactful AI-powered applications. Candidates should have experience in DevOps and automation tools.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

The AI-Enhanced Virtual Assistant will support AI integration, administrative tasks, communication management, project coordination, and client interaction to enhance operational efficiency.

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.

Design, build, and maintain server-side applications for AI-driven solutions, integrating AI models and optimizing performance in collaboration with team members.

Seeking a Front-End Developer with AI experience to design and optimize user-facing applications. Responsibilities include developing features with modern frameworks and integrating AI functionalities.

Develop and maintain full-stack applications integrating AI. Responsibilities include building user interfaces, optimizing APIs, and collaborating with teams on AI solutions.

As a Senior Backend Engineer, you will design scalable infrastructure, ensure efficient product flows, and implement state-of-the-art voice cloning and text-to-speech solutions.

Lead client onboarding, configure AI systems, build automations, design engagement flows, and refine workflows for sales automation.

As an AI Email Marketing Specialist, you will execute and automate email campaigns, manage segmentation and A/B testing, and implement AI tools for marketing efficiency.

Run high-volume influencer outreach on Instagram, track responses in a CRM, maintain account hygiene, and follow targeting guidelines.

The Team Manager will lead a team of AI Trainers, managing content annotation and evaluation while ensuring quality and productivity in a gaming context.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

As a Go High Level CRM Expert, you will develop AI-driven automation strategies, optimize customer interactions, and improve lead management.

As a Data Encoder, you'll structure, label, and QA data for training and analytics while meeting quality and throughput targets. This role requires proficiency in AI tools and strong attention to detail.

Provide technical support for Red Hat's AI products, ensuring customer satisfaction by troubleshooting, collaborating with engineers, and developing solutions.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Manage the AI roadmap and build data and ML infrastructure. Deploy models while ensuring compliance, quality, and cost management.

The AI-Enabled Copywriter will create high-volume, SEO-optimized content using AI tools while collaborating with marketing teams to meet targets.

Seeking a part-time Fractional CTO to guide AI and no-code technology strategy, mentor teams, and ensure system security and scalability.

Lead and develop an AI-native engineering organization, focusing on engineering excellence, talent development, and automating workflows for financial services clients.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The AI Data Operations Analyst will manage AI-human review processes, validate AI data, support manual uploads, and build automation workflows to optimize operations and reporting.

The AI Support Specialist optimizes chatbot functionality, implements knowledge base enhancements, collaborates with product teams, and maintains customer communication and documentation.