Top Machine Learning Jobs in the Philippines

Build and deliver production-grade automation solutions for banking operations using full-stack development, cloud platforms, low-code tools, RPA, AI, and workflow automation. Gather requirements, design and implement solutions, establish CI/CD pipelines, testing, monitoring, and governance, and measure operational benefits. Partner with stakeholders and technology teams, support adoption and training, maintain documentation for audit readiness, and mentor junior engineers.

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.

Develop and evaluate AI prototypes, experiments, and pilots that improve business outcomes in Home Lending. Apply machine learning, deep learning, speech recognition, NLP, and time-series methods; analyze data; communicate recommendations; and help scale validated solutions into production. The role also supports responsible AI governance, stakeholder prioritization, enablement workshops, documentation, and ongoing performance monitoring.

Leads applied AI integration across Home Lending by identifying high-value use cases, running measurable experiments, building prototypes, scaling successful solutions, and developing enablement programs. Partners with engineering, data, platform, governance, and business teams to transition validated concepts into production. Advises stakeholders on AI strategy, responsible adoption, evaluation methods, and impact metrics while coaching teams and coordinating multiple initiatives.

Lead expense-management tooling enhancements from requirements through implementation and post-launch support. Translate business needs into user stories, acceptance criteria, and process improvements while coordinating stakeholders, dependencies, risks, timelines, testing, training, and adoption. Develop KPIs and dashboards to monitor operational effectiveness, controls, data quality, and compliance. Identify automation opportunities, support governance, and improve workflow efficiency, reporting, user experience, and operational risk management.

Lead payment lifecycle operations, including daily processing, reconciliations, investigations, exception management, and performance tracking. Resolve control and production breaks, manage operational risk, support fraud prevention, and escalate threats or delays. Partner with stakeholders on automation, process improvements, and client experience enhancements while translating business priorities into execution plans and measurable outcomes.

Analyze and improve AI-powered transaction monitoring systems for money laundering, fraud, sanctions, and terrorist financing detection. Review high-risk transactions, identify behavioral patterns, test and refine machine learning models, develop metrics and dashboards, conduct experiments and ad hoc analyses, and provide clear recommendations. Collaborate with compliance, legal, Identity & Trust, and operations teams while ensuring AML and sanctions regulatory adherence and a positive customer experience.

Reconcile securities holdings, cash balances, and transactions across investment portfolios. Investigate discrepancies, coordinate resolutions with custodians and stakeholders, review reconciliation outputs, maintain reporting and documentation, and support compliance, audits, process improvements, UAT, and system enhancements.

Performs daily reconciliation of securities holdings, cash balances, and transactions between internal records and custodians. Investigates discrepancies, coordinates resolutions, maintains reconciliation documentation, supports reporting, audits, compliance, governance, training, process improvements, system transitions, and operational controls for investment portfolios.

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.

Develop and deliver analytics solutions, statistical models, and AI-powered applications using large and complex datasets. Translate analysis into actionable business recommendations, collaborate with stakeholders, manage end-to-end analytics projects, and mentor junior data scientists. The role includes designing NLP and LLM solutions, applying machine learning techniques, using visualization tools, and supporting scalable analytics processes across customer lifecycle use cases.

Analyze billions of user behavior, fund-flow, and market records using PySpark, Hive, Trino, and SQL. Build feature pipelines, investigate data anomalies, and develop and evaluate machine learning models for risk detection. Translate model performance into business metrics such as detection rate, false-positive rate, and latency while owning a project stream end to end.

Performs portfolio accounting and investment administration activities, including securities settlement, foreign exchange, reconciliations, investment accounting, and fund reporting. Requires accurate analysis, reporting, problem solving, teamwork, and deadline management. The role is hybrid in Quezon City with a mid-shift schedule.

Own the vision, strategy, roadmap, and lifecycle of a shared lending platform serving multiple products and markets. Define platform architecture principles, APIs, configuration capabilities, and build-versus-buy decisions. Lead real-time credit decisioning, risk and compliance integrations, data aggregation, IFRS9 reporting, and ML-assisted lending capabilities. Coordinate dependencies across lending products and collaborate with Credit Risk, Analytics, Engineering, Compliance, and country business teams.

Leads Cashalo’s 11–12-person backend and mobile engineering team while advising the Philippines GM. Owns ambiguous, cross-market business problems, drives experiments and solutions, and applies proven engineering and product patterns to regional needs. The role requires strong engineering leadership, product judgment, startup experience, AI-enabled workflows, and the ability to engage technically with Staff+ engineers. It is fully remote across Australia, Singapore, or the Philippines, with quarterly travel to the Philippines.

Coordinates and expedites procurement commercial change orders from RFQ through completion. The role follows up with suppliers, validates documentation, tracks quotations and part numbers, escalates delays, maintains KPI dashboards and reports, and collaborates with procurement, engineering, category management, and other stakeholders. It also supports process improvement, automation, compliance, stakeholder meetings, supplier communications, and training for junior team members.

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.

Maintains and improves procurement item data and ERP attributes, including pricing, lead times, minimum order quantities, sourcing rules, costing, and buyer/planner assignments. Coordinates sourcing approvals, supplier communications, procurement system updates, and stakeholder activities. Tracks KPIs, ensures transaction accuracy, resolves sourcing issues, supports automation tools, and provides peer guidance. The role also reviews data quality, manages deadlines, identifies risks, and contributes to process improvement.

Manage and grow financial services accounts in the Philippines, focusing on new business, upselling, cross-selling, strategic account planning, pipeline management, negotiations, and deal closure. Build relationships with banking clients, channel partners, and executives while collaborating with APAC sales, business development, and pre-sales teams. Represent the company at relevant events, support customer satisfaction and technology adoption, and accurately forecast revenue.

Analyzes investment portfolio accounting data, investigates anomalies in SimCorp Dimension, and ensures accurate transaction recording and compliance with accounting standards. Prepares client, management, and financial reports; performs reconciliations, journal entries, investment and derivatives accounting, and NAV validation. Supports process improvements, documentation, system implementations, and team objectives while maintaining data integrity and meeting deadlines.

Leads SGS’s enterprise AI agenda for Finance, managing strategy, use-case prioritization, governance, cross-functional delivery, responsible AI controls, adoption, and value realization. The role coordinates Finance, IT, Data, Risk, Cybersecurity, Privacy, Legal, vendors, and implementation partners to deploy scalable AI solutions while tracking business outcomes, risks, budgets, controls, and user adoption globally.

Own the full enterprise sales cycle for AI-driven forecasting and optimization solutions, from pipeline generation through closing and customer partnership. Sell to senior executives across supply chain, manufacturing, CPG, retail, and logistics organizations. Build relationships, quantify ROI, manage complex multi-stakeholder deals, close six- and seven-figure contracts, maintain CRM accuracy, forecast reliably, and help shape the company’s sales playbook and go-to-market strategy.

Engage with customers to understand operational challenges, frame business problems, conduct technical and value-based demos, and build Python- and SQL-based prototypes. Support evaluations, pilots, implementations, and customer deployments while demonstrating how AI, machine learning, and optimization solve business problems.

Leads customer-facing applied AI engagements by understanding operational challenges, framing business problems, delivering technical demos, and building Python- and SQL-based prototypes. Supports enterprise sales cycles, evaluations, pilots, implementations, and customer deployments. Requires strong data science and machine learning knowledge, business intuition, project management, and the ability to communicate with technical and non-technical stakeholders.

Own client onboarding, configuration, adoption, troubleshooting, communications, retention, and expansion for B2B SaaS AI agent solutions. Provide technical guidance to nontechnical stakeholders, manage go-lives, collaborate with engineering on APIs and integrations, and support customers during US business hours. The role requires strong English and Spanish communication, independence, organization, and customer relationship management.