Top Machine Learning Jobs in the Philippines

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.

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.

Design, build, test, deploy and maintain operations automation solutions end-to-end. Gather requirements with stakeholders, choose automation approaches (RPA, workflow, IDP, AI), implement CI/CD and monitoring, deliver AI-enabled features, track KPIs and benefits, enable adoption through training, mentor junior engineers, and maintain documentation for governance and audit readiness.

Lead analytics and data operations for Asia Pacific securities services: analyze complex datasets, define success metrics, build dashboards, automate workflows, monitor data quality, partner with operations and tech, and manage end-to-end analytics initiatives to drive measurable operational improvements.

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, 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.

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.

Design and maintain scalable data pipelines and analytics platforms for semiconductor manufacturing. Analyze large datasets, build predictive models and dashboards, integrate manufacturing systems, and collaborate with engineers to improve factory performance and operational decision-making.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.

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.

Serve as the bridge between business stakeholders and RPA/AI developers to elicit, document, and maintain detailed functional and technical requirements, assess process suitability for automation, produce process and data flow documentation, enable development-ready user stories, support QA/UAT, and ensure traceability, security, and compliance throughout delivery.

Write and maintain end-to-end documentation for robotic intelligence software, including architecture, APIs/SDKs, deployment, maintenance, and troubleshooting. Collaborate with researchers and engineers to gather technical details, establish documentation standards and tooling, and tailor content for both expert developers and non-technical field operators.

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.

Design and deploy AI-driven solutions, build automation workflows, analyze data, support innovation, and collaborate with teams to address business needs.

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 Junior Project Manager will lead AI-focused projects, ensuring timely delivery and effective collaboration across teams while managing risks and compliance.

Lead and scale Manila-based Data, Analytics, and AI teams to deliver end-to-end AI/ML and GenAI solutions for transaction advisory. Drive go-to-market, client pursuits, delivery quality, mentorship, automation for due diligence, and cross-functional techno-functional collaboration across industries.

Lead and scale a Manila-based Decision Intelligence team delivering data, analytics, and AI solutions across the deal lifecycle. Own end-to-end engagement delivery, drive AI/GenAI and LLM initiatives, develop industry-specific analytics offerings, manage client pursuits, mentor and review junior staff, and embed automation and optimization models into due diligence and transaction advisory work.

Lead and scale a Manila-based, client-facing Data, Analytics, and AI practice across the deal lifecycle. Deliver AI/ML/GenAI solutions, manage mid-to-large analytics engagements, drive go-to-market and pre-sales, mentor junior staff, and ensure high-quality end-to-end delivery for M&A and transaction advisory work.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

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.

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.