Top Machine Learning Jobs in Manila

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.

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.

Develop and maintain Power Platform-based BI solutions and automations, perform ETL and data cleansing, build Power BI dashboards and predictive risk models, integrate AI/ML into reporting, and support cybersecurity, IT, and finance data collection and visualization for senior leadership and operational teams.

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.

Lead Global Services strategy and operations for DePuy Synthes, driving GBS transformation through process excellence, automation, AI/digital solutions, governance, KPIs, and global service delivery across contact centers, master data, logistics, and commercial operations.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.

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 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 privacy engineering initiatives by conducting assessments, developing compliance solutions, and integrating AI technologies, ensuring regulatory adherence and risk mitigation.

As a Junior Research Analyst, you will analyze and input risk data related to ESG issues into the RepRisk database and assess incidents accordingly.

Lead a team of Business Insights Analysts to analyze large datasets, define operational metrics and dashboards, surface actionable insights, drive process improvements, partner with data visualization teams, and influence cross-functional stakeholders to optimize performance and reduce costs.

The Sales Director, APAC will manage sales and account operations in the aviation sector, focusing on acquiring new customers and maintaining existing accounts. This role involves generating sales opportunities, collaborating with technical teams, and reporting sales metrics while traveling for customer engagement and meetings.

Lead user analytics to monitor lifecycle metrics (eMAU, retention, engagement), develop segmentation frameworks and dashboards, perform deep-dive analyses, deliver executive reports, and partner with cross-functional teams to drive data-driven marketing, growth, and retention strategies.

The Sales Manager will drive revenue growth and expand market share in the Philippines through strategic sales initiatives, client relationship building, and leading sales cycles.

Lead engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

The AI Solutions Architect will translate business objectives into AI strategies, design solution architectures, oversee integration into enterprise systems, ensure compliance, and maintain technical governance while staying updated on AI trends.

Support and execute SOX and risk-based audits following Manulifes methodology and IIA Standards. Perform walkthroughs, design and operating effectiveness testing, issue follow-up, and stakeholder communication. Use data analytics and tools to improve audit effectiveness, participate in departmental initiatives, and assist with audit documentation and closure validation under supervision.

Lead and manage large, complex internal audits and SOX testing across Asia; drive audit strategy, stakeholder relationships, and audit team performance. Use data analytics and tools (including Python and ML) to improve audit effectiveness, prepare reports and presentations, and ensure issues are tracked to closure in line with Manulife audit methodology and IIA Standards.

Execute SOX and risk-based audits per Manulife audit methodology and IIA Standards. Perform walkthroughs, design and operating effectiveness testing, document findings, use data analytics to improve audits, support issue follow-up and stakeholder interactions, and contribute to departmental initiatives and continuous improvement.

As Global Privacy Director, you will lead the global data protection strategy, ensuring compliance with privacy laws and integrating privacy into AI-driven services. Responsibilities include managing a privacy team, overseeing audits, and fostering privacy awareness across the organization.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

Lead the risk product suite roadmap and execution for merchant onboarding, fraud prevention, and credit risk. Manage a risk engineering and data science squad, build real-time risk engines and ML models, optimize KYC/KYB onboarding flows, and develop lending/settlement risk models to minimize financial loss while preserving merchant and buyer experience.

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.