Top Machine Learning Jobs in Manila

The Fund Accounting Supervisor manages NAV calculations, leads a team of fund accountants, and ensures compliance with guidelines while improving team performance.

As a Knowledge Management Specialist, you will develop and maintain knowledge bases, collaborate with teams, create content, and leverage AI for efficient information retrieval.

Lead the organization’s DevOps and MLOps strategy, overseeing governance, scalability, CI/CD infrastructure, and ML operations while fostering a high-performing team environment.

Lead forecasting strategy by monitoring models, improving them, conducting R&D on ML solutions, and acting as the technical contact for business forecasting initiatives.

The Country Account Manager will build relationships with senior clients, create comprehensive business plans, manage sales targets, and ensure client satisfaction with FICO's solutions.

As a Data Strategist, you will analyze business problems and provide data-driven solutions. You’ll collaborate with teams to deliver machine learning model solutions.

The Data Science Manager leads a team to design and implement ML models, ensuring compliance with industry standards while collaborating cross-functionally. Key responsibilities include delivering data science artifacts, mentoring the team, and enhancing the customer experience.

The role involves participating in Private Equity initiatives, processing capital calls and distributions, reconciling daily transactions, and supporting improvements in processes.

Drive key initiatives and improvements in Customer Success operations. Collaborate cross-functionally, implement standardized processes, and enhance delivery capability.

The Investor Services Senior Administrator reviews transactions, liaises with investors, reconciles accounts, prepares reports, and ensures compliance with AML/KYC documentation.

Lead a distributed team managing core features of the Goodnotes iOS application, ensuring high-quality delivery, mentoring staff, and contributing to technical strategy.

The AI Operations Analyst will generate labeled data to train AI models, conduct stress tests, and collaborate with ML Engineers on data curation.

The ML/AI Engineer will design and implement machine learning models and algorithms, collaborate with teams, and optimize AI solutions for scalability and performance.

As a Senior Data Scientist, you will transform clients through data, collaborate with teams, manage projects, and ensure client satisfaction.

Support the growth of the consulting department, manage client relationships, and ensure quality delivery of data-related projects. Drive business development and oversee project management.

The Machine Learning Engineer will develop and implement machine learning models on Azure platforms, collaborating with teams to meet business needs and improve performance.

The Machine Learning Engineer will design, develop and optimize ML models, collaborate with cross-functional teams, and maintain machine learning infrastructure.