Top Machine Learning Jobs in Manila

The role leads marketing consulting efforts for Mastercard's clients, focusing on digital performance marketing using data-driven insights and advanced AI capabilities to enhance customer engagement and improve marketing ROI.

Lead and facilitate Six Sigma improvement projects across multiple business units, apply data-driven statistical problem solving, define performance metrics, present findings to senior leadership, deploy process trainings, manage idea programs, and support operational excellence for 200-400 FTEs.

Design, build, test, and deploy end-to-end full-stack AI/ML applications. Develop front-end experiences, backend services, APIs, and data pipelines. Productionize ML models, integrate Generative AI/LLMs, implement MLOps/DevOps, ensure security/compliance, deploy and scale on cloud platforms, and collaborate with cross-functional teams to deliver user-centric healthcare solutions.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

Design and deploy AI/ML models and automation to improve procurement analytics, integrate data from ERP and BI tools, build dashboards, lead digital projects, and drive stakeholder adoption and training.

Support Internal Audit by designing and executing data analytics, building Power BI dashboards, performing SQL/Python-based ETL and analyses, preparing audit workpapers/reports, and communicating findings to global audit stakeholders to improve controls and processes.

Work with auditors and engineers to develop AI/ML prototypes (anomaly detection, risk scoring, classification), build automation tools, support model evaluation and integration into audit tools and dashboards, and document technical methodologies.

The Data Scientist will develop analytics solutions, work with complex datasets, deliver insights, mentor junior staff, and collaborate with business teams.

Perform remote, part-time data tasks to improve AI in Tagalog: collect, evaluate, and annotate data; perform pairwise comparisons, counting, and object tagging across audio, video, images, and collected data. Requires native Tagalog and fluent English; AI/data experience preferred. Freelance, flexible schedule, immediate start, 10+ hours/week.

Perform daily reconciliations of securities holdings, cash balances, and transactions; investigate and resolve discrepancies with custodians and internal teams; prepare reconciliation files and MIS; review and sign off outputs to meet SLAs and compliance; support process improvements, system enhancements, audits, and stakeholder collaboration.

Develop and implement AI and machine learning strategies in healthcare, collaborate with teams, mentor engineers, and ensure code quality while driving innovative solutions.

Lead controls, governance, reporting and analytics for Global Investments Operations. Manage reconciliations, dashboards (PowerBI), data gathering/cleansing, root cause analysis, process improvements, compliance support and stakeholder coordination.

The Private Equity Supervisor at HedgeServ manages a team of accountants, ensures service consistency, oversees fund accounting, and develops client relationships while enhancing workflows and procedures.

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

This role involves ensuring accurate portfolio accounting, analyzing financial data, preparing reports, investigating discrepancies in accounting records, and leading projects related to accounting systems and procedures.

Intern will develop AI-driven automation and DevOps tooling: environment provisioning scripts and CI/CD hooks, IaC modules, test automation, NLP-based requirement evaluation, triage classifiers, and dashboards to optimize release readiness.

Lead design, build, and deploy AI-driven automation and AI agents to transform finance operations. Partner with finance teams to redesign processes, improve reporting, enhance data governance, and drive adoption through change management, training, and ongoing capability building.

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.

Lead the implementation of Workday Recruiting, leveraging AI tools to optimize talent acquisition processes and improve user experiences. Engage directly with stakeholders and ensure a smooth transition to new systems.

Lead design, implementation, and optimization of fraud detection rules and ML models. Analyze large datasets for emerging fraud, monitor KPIs, manage vendor/tool integration, lead incident investigations, and ensure quality assurance and documentation of fraud strategies.

Manage and grow enterprise airline accounts using Volantio's SaaS platform. Own implementation, launch, optimization, support, renewals, and expansion. Act as product and technical expert, coordinate with Product and Engineering, drive retention and revenue metrics, run regular customer cadences (weekly support, QBRs, onsite visits), and identify optimization opportunities to deliver quantified customer value.

Own and scale APAC programmatic advertising strategy to drive user acquisition, retention, and ROAS. Lead media buying across auctions, PMPs, preferred deals and PG; leverage AI/ML and automation; set best practices for targeting, frequency, remarketing, brand safety and DCO; research and scale emerging channels like CTV, audio, contextual and DOOH.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.