Top Machine Learning Jobs in the Philippines

Develops data-driven business insights through statistical analysis, SQL querying, dashboards, reporting strategy, and executive storytelling. Translates analytical findings into actionable recommendations, oversees reporting roadmaps, partners with visualization and engineering teams, and identifies business risks and opportunities. The role is fully onsite on a night shift in Imus, Cavite or Ortigas.

Develop and deploy automation solutions that improve business processes. Analyze workflows, design full-stack applications, integrate REST APIs and microservices, monitor system performance, troubleshoot issues, and support continuous improvement. Collaborate with technical and business stakeholders, advise on automation opportunities, manage multiple projects, and work within Agile and Scrum frameworks. The role also involves secure authentication, logging, unit testing, and potentially AI, machine learning, and robotic process automation technologies.

Manage investor services processes for multiple fund administration clients, including transaction reviews, AML/KYC issues, reconciliations, payment schedules, investor and client reporting, audit requests, and complex investor inquiries. Lead client relationships, coordinate with internal departments, identify process improvements, review new-client documentation, and manage recruitment, training, and performance evaluations for teams of up to six employees. Must work US hours.

Own end-to-end campaign execution, including setup, QA, launch, pacing, monitoring, optimization, and testing. Analyze campaign performance, investigate anomalies, resolve issues, and communicate risks and recommendations to managers and Customer Success. Document experiments, collaborate with Product, respond to alerts, and mentor junior analysts while driving measurable client outcomes.

Manage live mobile advertising campaigns through setup, QA, launch, pacing, optimization, and daily performance monitoring. Track metrics such as delivery health, fraud, and creative performance; respond to alerts and client inquiries; document testing; communicate campaign risks and results; participate in on-call rotations; and support peer analysts. The role requires careful execution, analytical thinking, proactive communication, and foundational data-querying skills.

Manage advertising campaigns end to end, including setup, QA, launch, pacing, daily performance monitoring, optimization, testing, documentation, and issue response. Track metrics such as pacing, fraud, creative performance, and delivery health. Provide performance updates, communicate campaign risks proactively, participate in on-call rotations, maintain issue logs, and support peer analysts.

This 12-week engineering internship supports P&G technical centers and manufacturing sites. Interns contribute to automation and controls, mechanical design, packaging, manufacturing process development, instrumentation, robotics, and environmental or civil engineering projects. Responsibilities include technical analysis, prototyping, process optimization, equipment and control-system development, validation, supplier collaboration, and sustainability initiatives. Interns receive mentorship, training, hands-on project ownership, and exposure to advanced manufacturing and Industry 4.0 technologies.

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 product marketing strategy for an AI infrastructure platform, owning positioning, category narrative, product launches, competitive intelligence, sales enablement, analyst relations, and customer insights. Translate technical products into narratives for developers and enterprise buyers, improve competitive win rates and pipeline conversion, and build a scalable PMM team.

Develop, fine-tune, integrate, and deploy machine learning models and AI-powered applications for customers. Build demonstrations and proofs of concept, contribute platform features and bug fixes, enable new models, optimize performance and scalability, and collaborate with go-to-market teams and partners. The role requires strong software engineering, customer-facing communication, and the ability to execute complex technical projects.

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.

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.

Design, implement and support web and mobile (Android/iOS/hybrid) software solutions as part of a Scrum team. Attend client meetings, communicate progress, learn deployment processes, and travel for on-site assignments and training.

Develop and maintain Power Platform-based BI solutions and automations, perform ETL and data cleansing, build Power BI dashboards and predictive risk models, integrate AI/ML into reporting, and support cybersecurity, IT, and finance data collection and visualization for senior leadership and operational teams.

Lead NAV operations and fund administration activities, ensuring accurate NAV calculation, regulatory compliance, client service, team leadership, and technology-enabled process improvement.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

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

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.

Work with the Risk Innovation & Change team to translate credit risk business needs into AI prompts, manage AI pipelines, design testing and MoRM-compliant documentation, oversee delivery of AI-enabled credit workflows, monitor AI output quality, and drive stakeholder alignment and adoption across Risk, Analytics and Technology.

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.

The Research Engineer will drive cutting-edge research into product pipelines, focusing on optimizing machine learning systems and innovative data curation strategies.

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.