Top Machine Learning Jobs in Manila

The Fund Accountant will manage cash and position reconciliations, process corporate actions, and generate NAV reports, ensuring accuracy and compliance with guidelines.

Analyze and enter risk incidents into the RepRisk ESG Risk Platform, supporting the assessment of ESG issues that may pose risks.

Design, build, and deploy AI agents and systems, integrating with APIs and databases. Collaborate on responsible AI implementations and support DevOps and MLOps workflows.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

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

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

The Field Application Engineer will serve as the primary technical contact for customers, focusing on implementing AI/ML hardware/software solutions, collaborating with teams, and ensuring customer success.

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.