Top Machine Learning Jobs in Quezon City

Execute and reconcile daily trading activities from order entry through settlement, resolve discrepancies, prepare management reports, and ensure regulatory and policy compliance. The role drives automation, continuous improvement, stakeholder communication, and operational efficiency across trading services. It also supports strategic discussions, manages projects, and mentors junior team members while maintaining knowledge of financial markets and trading systems.

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.

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.

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.

Manage the full lifecycle of cash and asset transfers, including settlement monitoring, system updates, reconciliation between TOA and SimCorp Dimension, stakeholder coordination, validation, notifications, and process improvement recommendations. The role partners with custodians, clients, portfolio managers, and internal teams to execute transfers accurately and efficiently while evaluating cash versus in-kind options and related costs.

Leads Johnson & Johnson’s enterprise HR AI and automation strategy across the Hire-to-Retire lifecycle. The role manages teams delivering generative AI, conversational AI, machine learning, workflow orchestration, and RPA capabilities; partners with HR, IT, product, and business leaders; establishes roadmaps and governance; drives adoption and transformation; and measures business value, employee impact, and operational outcomes.

Leads Johnson & Johnson’s enterprise HR AI and automation strategy across the Hire-to-Retire lifecycle. Defines roadmaps, governs responsible AI adoption, oversees implementation of generative AI, conversational AI, machine learning, and automation solutions, and manages cross-functional teams and executive stakeholders. Drives digital transformation, employee experience improvements, process simplification, adoption, KPI tracking, and value realization while fostering innovation and continuous learning across the HR Digital organization.

Leads strategic business insights by analyzing labeling data, building executive-ready dashboards, and translating complex findings into actionable recommendations. Responsibilities include statistical modeling, SQL querying, reporting strategy, stakeholder consulting, data integration, insight governance, and collaboration with visualization and engineering teams. The role also supports classifier evaluation, A/B testing, root cause analysis, and identification of business opportunities and risks.

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.

Provides technical consulting for AML, sanctions screening, and third-party risk solutions across APAC. Leads RFPs, sales engagements, client implementations, API integrations, data pipelines, analytics, reporting, and risk decisioning initiatives. Advises customers on data architecture, modeling, transformation, and enrichment while serving as a technical SME and customer advocate. Partners with sales, product, and delivery teams, presents at industry events, and monitors regulatory, technology, and competitive developments.

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.

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.

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

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.

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

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.

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.

Design, build, deploy and maintain AI solutions for HR as a spoke of the central AI & Innovation Lab. Translate stakeholder needs into scalable LLM/ML services, ensure data stewardship and compliance, co-develop shared AI platform components, support production systems, and present technical updates to HR leadership.

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.

Monitor and validate real-time market price data, triage and escalate anomalies, perform root-cause analysis and corrective actions, collaborate with engineering and analytics, support UAT and system enhancements, and lead incident management to improve data quality and reduce escalations.

Perform SOX and risk-based audits independently, execute design and operating effectiveness testing, document walkthroughs, identify root causes, use data analytics/Python to improve audits, follow up on issue closures, and support departmental initiatives.

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.

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