Top Machine Learning Jobs in Quezon City

Leads finance transformation by owning core financial processes, modernizing ERP and planning systems, deploying AI and automation, partnering with engineering and data teams, redesigning workflows, establishing controls, and driving organizational adoption. The role requires senior finance leadership, strong systems expertise, hands-on AI transformation experience, process governance, and the ability to translate between finance and technology.

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.

Support product development for homepage, user center, AI-generated interfaces, market pages, onboarding, personalization, and recommendation experiences. Coordinate with engineering, design, data, and business teams; organize requirements; track metrics; support experiments; analyze feedback; and help resolve issues. The role is part of a 3–6 month early-career accelerator program focused on blockchain products and AI-driven user experiences.

Lead supply chain business analysis and consulting across presales, RFPs, client discovery, requirements gathering, process mapping, fit-gap analysis, solution design, and implementation support. Translate business needs into functional requirements and scalable technology solutions using supply chain platforms, analytics, and AI. Facilitate stakeholder workshops, define KPIs and analytics requirements, support testing and deployment planning, and manage client relationships across business and technology teams.

Develops and supports SAP BI and data integration solutions, including data acquisition, cleansing, ETL, modeling, testing, troubleshooting, reporting, and documentation. Supports global analytics projects, business reporting, incidents, and on-call operations. Evaluates data sources, designs relational and dimensional models, automates repetitive tasks, and collaborates with analysts, engineers, and international business teams.

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.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

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.

This internship involves developing AI-driven solutions, testing features with LLMs, building prototypes, collaborating with engineers, and exploring AI capabilities.

Manage delivery of multiple concurrent software, data, automation, and AI programs from intake to adoption. Coordinate distributed engineers and analysts across time zones, run delivery cadence, align business partners, maintain portfolio governance, surface risks with mitigation, and continuously improve delivery processes focused on shipped outcomes.

Lead delivery of multiple concurrent software, data, and AI programs from intake to deployment. Coordinate distributed engineers and analysts, run delivery cadence, align business partners, manage risks and dependencies, and improve portfolio governance and PM practices to ensure adoption and shipped outcomes.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

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.

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

Develop, deploy, and optimize scalable machine learning solutions, including predictive, supervised, unsupervised, and deep learning models. Build data pipelines, production model-serving infrastructure, monitoring, retraining, and lifecycle processes. Ensure AI solutions meet quality, security, compliance, governance, and responsible AI standards. Research emerging technologies and collaborate with data scientists, engineers, product teams, and business stakeholders to deliver measurable business value.

Leads the architecture, development, optimization, deployment, and governance of enterprise-scale machine learning systems. Responsibilities include model lifecycle management, MLOps, data quality, feature engineering, monitoring, responsible AI, compliance, technical strategy, innovation initiatives, and mentoring engineering teams.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.

Manage overall NAV calculation for credit-based funds, client relationships, fund accounting team, and ensure timely delivery of NAV calculations while supporting audits and training.