Top Machine Learning Jobs in Quezon City

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.

Architects, develops, deploys, and maintains enterprise AI/ML solutions using NLP, OCR, RAG, and cloud-native platforms. The role modernizes fax and telephony workflows, mentors engineers, collaborates with product and development teams, solves complex problems, and ensures secure, scalable delivery. Responsibilities include model training, deployment, monitoring, MLOps/LLMOps practices, production support, and designing AI-driven automation.

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.

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.

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.

Designs and deploys predictive models, advanced analytics, and generative AI solutions, including agentic workflows using retrieval-augmented generation and tool calling. Owns end-to-end model delivery, production pipelines, monitoring, evaluation, retraining, and responsible AI practices. Partners with product, engineering, and risk stakeholders to translate business needs into measurable outcomes and builds reusable AI services and libraries.

Leads electrical energy studies, energy audits, power quality assessments, and system evaluations for industrial customers across Southeast Asia. Analyzes field measurements and operational data, identifies efficiency and reliability improvements, quantifies business benefits, prepares technical reports and proposals, and presents recommendations to customers. The role also develops energy management, process control, asset monitoring, and digital solution opportunities while supporting sales, follow-on projects, and regional capability development.

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.

Develops AI-powered procurement analytics, machine learning models, automation tools, dashboards, and integrated reporting solutions. The role analyzes procurement data to improve sourcing, KPI tracking, cost optimization, vendor performance, and risk mitigation. Responsibilities include collaborating with stakeholders, managing digital projects, ensuring data integrity, and supporting adoption through training materials, user guides, and testing.

Supports the design, development, testing, deployment, and maintenance of AI-enabled automation solutions. Develops workflows and scripts, troubleshoots existing applications, applies programming and machine learning techniques, documents solutions, and collaborates with business and technical teams. Contributes to quality assurance, code validation, governance compliance, and continuous process improvement while building foundational expertise in AI, RPA, software development, and systems integration.

Supervise a private equity fund accounting team of up to four accountants. Responsibilities include capital calls and distributions, investor allocations, IRR reporting, waterfall calculations, NAV reviews, financial statements, reconciliations, client reporting, workflow improvements, and client transitions. The role also involves resolving escalated accounting inquiries, maintaining controls, supporting client relationships, and coaching junior employees.

Maintains, optimizes, and supports enterprise applications and infrastructure. Troubleshoots application issues, implements software deployments and configuration changes, supports onboarding and decommissioning, and contributes to systems recovery. Configures packaged software, develops modification and interface requirements, coordinates solutions with technical teams and vendors, executes change requests, mentors junior staff, and provides strategic recommendations.

Lead the strategy, growth, transformation, and scaling of LSEG’s Broker Models business. Responsibilities include expanding coverage and adoption, modernizing data collection and delivery through AI and automation, developing scalable operating models, translating customer needs into product capabilities, driving commercial outcomes, and building global cross-functional teams across Product, Engineering, Data Science, Operations, and Commercial functions.

Leads franchise finance operations, FP&A, budgeting, forecasting, financial reporting, valuation modeling, fiscal controls, and business performance analysis. Partners with stakeholders on investment and productivity decisions, drives finance workflow automation, and develops multidimensional data models and analytics solutions. Requires finance expertise, data modeling and visualization experience, project and change management skills, and the ability to synthesize complex data for strategic decision-making.

Develop and execute B2B SaaS marketing strategies using HubSpot, AI-powered automation, analytics, and data science. Manage marketing workflows, campaigns, email programs, website optimization, attribution, A/B testing, and dashboards to improve pipeline, conversions, and revenue. Lead cross-functional marketing operations projects, maintain data quality, document repeatable processes, and align Marketing, Sales, and Customer Service teams.

Designs, develops, and maintains financial business intelligence, data integration, dashboards, data warehouses, ETL processes, and SQL-based reporting solutions. Partners with Finance, Accounting, IT, and business stakeholders to translate reporting needs into reliable technical solutions, troubleshoot data issues, support management reporting, and improve data quality. The role also drives automation, standardization, continuous improvement, and analytics innovation across the Americas Controllership organization.

Develop and support scalable full-stack business applications across the software development lifecycle. Responsibilities include building front-end interfaces, back-end services, APIs, databases, integrations, and Power Platform solutions; writing tested and secure code; troubleshooting; participating in code reviews; and applying CI/CD and DevSecOps practices. The role collaborates with cross-functional teams on digital transformation, prototyping, technical investigations, and continuous improvement.

Supports sales-force effectiveness through data cleaning, access governance, KPI reporting, performance trend analysis, and migration from Excel tracking to Power BI dashboards. The role also provides user support, onboarding and training assistance, documentation, process standardization, and continuous improvement across regional sales entities.

Own end-to-end campaign execution for assigned accounts, including setup, QA, launch, pacing, monitoring, optimization, and testing. Analyze campaign performance, identify anomalies and root causes, recommend improvements, communicate risks to managers and Customer Success, respond to alerts, document experiments, collaborate with Product, and mentor junior analysts.

Own end-to-end digital advertising campaign execution, including setup, QA, launch, pacing, optimization, testing, and daily performance monitoring. Analyze metrics such as pacing, fraud, creative performance, and delivery health; respond to alerts and inquiries within SLAs; document experiments; communicate campaign risks and updates; participate in on-call rotations; and support peer analysts. The role requires analytical skills, SQL/Python/R proficiency, and strong attention to detail.

Support SOX testing and risk-based audits across Manulife’s global financial services operations. Perform control walkthroughs, design and operating effectiveness testing, identify root causes, communicate findings, validate issue closures, and apply data analytics to improve audit efficiency. The role requires collaboration across multicultural teams and adherence to internal audit methodology and IIA Standards, with opportunities to use GRC tools, machine learning, and Python.

Leads data projects, collects and governs data, develops pipelines, performs advanced statistical analysis, and creates predictive models, dashboards, and reports. Presents actionable insights to technical and non-technical stakeholders, provides strategic data advice, delivers data literacy training, improves analytics processes, and mentors junior team members. The role is onsite in Taguig, Philippines.

Collects, processes, and analyzes large datasets to identify trends, insights, and opportunities that improve business performance. Develops KPI reports, dashboards, data models, algorithms, and visualizations; evaluates data integrity; automates reporting; and communicates findings to technical and non-technical stakeholders. Supports analytics, automation, AI, and machine learning initiatives while collaborating with cross-functional teams and senior leadership.

Reviews financial services regulations and exchange rulebooks, assesses regulatory changes, and maintains auditable review records. Validates machine-learning topic classifications, provides labelled feedback, and helps maintain regulatory taxonomies. Compares platform rulebooks with authoritative sources to identify structural errors, missing provisions, duplication, and versioning issues. Performs quality assurance against development requirements and collaborates with product, engineering, and software teams to process new regulations and improve the service.