Top Machine Learning Jobs in Quezon City

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.

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.

Leads cost accounting and operations finance projects, including acquisition integration into ERP and manufacturing systems. Performs data validation, controls testing, troubleshooting, process improvement, change management, training, and executive reporting. Partners with finance, IT, and cross-functional teams in a global matrixed environment while applying automation, AI, and analytics to improve financial reporting, anomaly detection, and root-cause analysis.

Supports cybersecurity operations by collecting, analyzing, and interpreting data to identify risks, anomalies, and emerging threats. Executes defined processes, maintains operating procedures, recommends efficiency improvements, and contributes to automation and process optimization. The role requires strong analytical skills, attention to detail, communication abilities, and foundational knowledge of scripting, queries, networking, and cyber monitoring. It is hybrid in Quezon City and requires night-shift availability.

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.

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.

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.

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.

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.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

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.

Leads technical presales activities for enterprise customers and channel partners across a regional territory. Identifies cybersecurity needs, designs and presents Sophos solutions, conducts demonstrations and proof-of-concepts, enables partners, supports account planning, and drives technical sales closure and revenue. Acts as a trusted cybersecurity advisor across endpoint, network, cloud, XDR, SIEM, and MDR solutions while building customer and partner relationships.

Build AI-enabled tools that solve strategic business problems, improve operations through intelligent automation, and accelerate decision-making with machine learning. Design and implement solutions using ML models, large language models, and data science pipelines. Work with cloud technologies, modern development tools, and deep learning frameworks while continuously developing expertise in machine learning.

Build privacy and anonymization systems that detect and transform PII, credentials, secrets, and other sensitive information in data used for AI training. Develop detection methods combining rules, statistical models, classifiers, and LLMs; create production data-processing pipelines; evaluate privacy risk and retained utility; and ensure robustness against schema drift, unusual formats, leakage, and adversarial re-identification.

Own the end-to-end lifecycle of complex digital products, from requirements definition and feature prioritization through delivery and continuous optimization. Collaborate with engineering, design, marketing, and business stakeholders; analyze markets, competitors, customer feedback, and product metrics; facilitate requirements workshops; and translate business needs into scalable technical solutions. The role focuses on fintech, payments, banking, loyalty, rewards, e-commerce, and AI-powered personalization platforms.

Own and improve the Command|Alert alerting platform, including rule evaluation, anomaly detection, event correlation, reliable Kafka and OpenSearch pipelines, and downstream notifications. Convert security and network telemetry into usable topologies and dependency maps, support LLM-based alert generation, resolve production issues, lead reliability improvements, deliver independent projects, and mentor engineers while shaping technical direction.