Top Machine Learning Jobs in Manila

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design, build, and maintain ETL pipelines and preprocessing for image and document data. Develop, train, deploy, and monitor deep learning and OCR models in production. Implement APIs, logging, containerized deployments (Docker/Kubernetes), and collaborate with engineering and QA teams to integrate ML into a data keying application.

Lead design, build, and deployment of production ML systems (recommendation, personalization, NLP). Own end-to-end ML lifecycle, observability, tuning, data pipelines, and A/B testing. Collaborate with product and engineering, mentor teammates, and champion ML best practices.

Design and deploy AI-driven solutions, build automation workflows, analyze data, support innovation, and collaborate with teams to address business needs.

The Junior Project Manager will lead AI-focused projects, ensuring timely delivery and effective collaboration across teams while managing risks and compliance.

Lead key client accounts in sales, managing senior relationships and structuring complex deals, while fostering business growth and strategic partnerships.

Design, build, deploy, and maintain production ML models and scalable data pipelines. Integrate models into backend services, ensure low-latency inference, monitor performance, and implement MLOps practices including versioning, CI/CD, and automated deployment.

Own and grow BioCatch accounts in the Philippines (primarily banking/financial services). Build strategic account plans, prospect and close new business, upsell and cross-sell, collaborate with APAC commercial teams, manage pipeline/forecasting, represent BioCatch at events, and drive customer satisfaction and technology adoption.

The IT Program Manager (AI) leads AI programs, ensuring alignment with business goals, managing teams, and delivering projects on time and budget.

Build, maintain, and improve programming solutions and AI/ML applications to automate workflows, analyze operational data, and optimize processes. Collaborate with cross-functional teams, maintain operational systems, and document technical procedures to support reliable, scalable operations.

This internship involves developing AI-driven solutions, testing features with LLMs, building prototypes, collaborating with engineers, and exploring AI capabilities.

The ML/AI Engineer will design, develop, and implement machine learning models and AI solutions, collaborating with software engineers and cross-functional teams.