Top Machine Learning Jobs in Manila

Support daily trading operations from order entry to settlement, reconcile accounts, prepare trading reports, drive process improvements, ensure compliance, assist on ad-hoc projects, and mentor junior staff while leveraging analytics and digital tools to enhance efficiency.

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.

Support mortgage servicing rights valuation and risk by designing, building, and delivering data-driven tools and analyses. Own end-to-end projects, manage data access and governance, develop Python utilities, implement analytical tooling into a proprietary platform, and communicate decision-ready insights to modelers and stakeholders.

Define, classify, and publish critical business data; ensure accuracy, accessibility, and security across the data lifecycle. Lead data product delivery to the data lake, enforce data quality and protection controls, collaborate with business and technology partners to remediate issues, and drive automation and governance improvements.

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

Design, prototype, and deploy production-ready machine learning and generative AI solutions and agentic workflows. Own end-to-end model delivery, data and feature engineering, evaluation, deployment, monitoring, retraining, and governance. Collaborate with product, engineering, and risk stakeholders and contribute reusable patterns and services to accelerate adoption and ensure responsible AI practices.

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

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.

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 item data attribution and ERP procurement parameter maintenance, resolve complex sourcing and MDM issues, manage Snow ticket and BOM updates, generate reports and KPI dashboards, deploy automation (RPA/ML/More4Apps), mentor peers, and drive process improvements to ensure data integrity and procurement efficiency.

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.

Lead design and delivery of analytics, automation, and AI-enabled data solutions to improve operational efficiency across Asia Pacific. Build data pipelines, models, dashboards, desktop apps and Excel add-ins; advise stakeholders, manage projects, establish standards, and coach junior team members.

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.

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.

Design, implement and support web and mobile (Android/iOS/hybrid) software solutions as part of a Scrum team. Attend client meetings, communicate progress, learn deployment processes, and travel for on-site assignments and training.

Lead NAV operations and fund administration activities, ensuring accurate NAV calculation, regulatory compliance, client service, team leadership, and technology-enabled process improvement.

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.

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.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

The Investor Services Senior Administrator executes tasks in the Investor Services Department, reviews transaction instructions, liaises with investors, and prepares reports and wire transfers. Requires strong analytical and communication skills.

Maintain and scrub item and procurement data in the ERP, manage sourcing approvals and supplier communications, fulfill SnowTicket requests, produce cleaned-data reports and KPI dashboards, support automation tools (RPA/ML), and collaborate with stakeholders to ensure accurate procurement attributes and timely task completion.

Support development and delivery of risk and compliance technology capabilities: gather and document requirements, drive UAT, assess solution designs, manage technology initiatives, integrate systems, and support AI/analytics adoption to enhance operational risk monitoring and reporting.