Top Machine Learning Jobs in Manila

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

The Catastrophe Modeling Analyst quantifies risk, analyzes client exposure using models, applies machine learning techniques to datasets, and produces clear reports and dashboards.

The Promoter Manager develops and executes regional demand generation strategies, oversees field marketing agencies, and analyzes sales data to enhance brand awareness and sales performance.

Manage overall NAV calculation for credit-based funds, client relationships, fund accounting team, and ensure timely delivery of NAV calculations while supporting audits and training.

Responsible for overseeing fund accounting tasks, including NAV calculations, reconciliations, and mentoring team members while ensuring compliance with procedures.

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

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

As a Lead MLOps Engineer, oversee the performance and robustness of ML models, optimize deployment pipelines, and ensure high availability and compliance.

Responsible for driving adoption of the FICO Platform by educating clients on its capabilities, managing sales targets, and building strategic relationships with senior executives, particularly in financial institutions.

The role involves leading strategic client accounts, managing complex deal structures, and collaborating with internal teams to create tailored solutions. Responsibilities include business growth, client advocacy, and market leadership while maintaining relationships with senior stakeholders in financial institutions.

The Lead, Machine Learning Researcher is responsible for translating business problems into machine learning questions, developing and evaluating models, mentoring peers, and collaborating with engineers for model deployment and integration.

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

Collaborate with teams to develop scalable ML and GenAI solutions, evaluate technologies for improvements, and support change management.