Top Artificial Intelligence Jobs in the Philippines

Participate in a four-week in-office onboarding bootcamp, then join a software engineering team to design, code, test, debug, automate, and maintain applications. Contribute to real-world projects, evaluate tools and techniques, build utilities to improve efficiency, and apply AI/ML where applicable while complying with company policies and hybrid work requirements.

The Senior AI ML Engineer designs and develops full-stack applications, integrates AI/ML models, manages cloud deployments, and ensures secure data access.

The Associate Director of Total Rewards Operations oversees regional compensation and benefits programs, leads a team, drives operational improvements, and collaborates with global stakeholders.

The role involves researching and writing various content types related to technology and SaaS, focusing on user-friendly copy that aligns with clients' voice and style.

Sutherland seeks to drive digital transformation through advanced technologies including AI, automation, and cloud engineering, enhancing business operations for clients.

Manage customer, market, and competitive intelligence analytics. Use advanced AI and machine learning for insights to guide business strategy and retention efforts.

The Demand Planner oversees sales forecasting, collaborates with teams to analyze trends, manage inventory, and improve forecast accuracy.

Manage daily sales operations, coach team members, monitor performance, shape sales strategy, enhance customer satisfaction, and drive results through data insights.

The Quality Analyst is responsible for auditing call transactions, managing service quality, communicating with clients, and improving operational efficiency based on data analysis.

Design, develop, test, and support automation and image-analytics solutions using ML/AI for 24/7 manufacturing. Integrate with MES, perform root-cause analysis, optimize automation, maintain version control, and support deployment and L1 teams following SDLC/DevOps and Agile practices.

Lead and oversee AI & IT compliance risk assessments, implement compliance frameworks, provide guidance to stakeholders, ensure quality documentation, and foster a strong compliance culture across the organization.

Lead daily sales and technology operations, coach and develop team members, monitor performance using metrics and CRM, design sales strategy, ensure customer satisfaction, handle escalations, and report results to upper management.

Develop, test, deploy, and maintain production-grade AI/ML models and LLM-powered applications. Participate across the AI lifecycle, implement cloud/IaC solutions, contribute to reusable platforms, collaborate with cross-functional teams, and troubleshoot production issues while learning from senior engineers.

The role involves building client relationships, educating on the FICO Platform, managing software solutions sales, and achieving sales targets.

The position offers IT technical support, focusing on aiding users with technology-related issues and ensuring seamless business operations within the company.

Drive design, development, and delivery of scalable AI solutions, focusing on LLM integration, technical leadership, and innovation in AI methodologies.

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 Operations & Strategy Lead will manage operations and a team to optimize AI-generated visual content, focusing on efficiency and quality improvements.

As AI Operations Manager, you'll manage and grow a team of editors, utilizing data analytics to improve productivity and ensure quality in image editing.

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

As an AI Software Engineer, spearhead the development of a voice tool, engage in full lifecycle development, design APIs, and improve processes while ensuring quality and collaboration.

The AI Engineer will design, develop, and deploy AI solutions, collaborate with stakeholders, and maintain AI applications ensuring performance and scalability.

The Lead AI Engineer leads technical teams to develop AI-driven solutions, ensuring software quality and guiding innovation projects throughout the development lifecycle.

The Manager of AI Systems and Workflows leads efforts in AI-driven efficiency for customer incident response, oversees digital transformations, and ensures effective collaboration across teams.

The Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.