Top Machine Learning Jobs in the Philippines

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.

Define, classify, and publish critical business data; ensure accuracy, accessibility, and security across the data lifecycle. Lead data product delivery to the data lake, enforce data quality and protection controls, collaborate with business and technology partners to remediate issues, and drive automation and governance improvements.

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.

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.

Lead design, deployment, and sustainment of Process Excellence and AI-augmented continuous improvement programs. Coach Professionals and Managers in Lean/Six Sigma methodologies, integrate AI tools for root cause analysis and innovation, manage training curriculum and knowledge repositories, track improvement KPIs, and drive stakeholder engagement to deliver measurable manufacturing performance gains.

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.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.

Lead automation of inspection data collection and reporting, analyze yield-impacting trends, build real-time dashboards, integrate cross-system data, manage inspection algorithm updates and validations, and drive digital transformation to improve factory efficiency and data integrity.

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.

Responsible for driving adoption of the FICO Platform by educating clients on its capabilities, managing sales targets, and building strategic relationships with senior executives, particularly in financial institutions.

The role involves leading strategic client accounts, managing complex deal structures, and collaborating with internal teams to create tailored solutions. Responsibilities include business growth, client advocacy, and market leadership while maintaining relationships with senior stakeholders in financial institutions.

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

Develop and implement AI and machine learning strategies in healthcare, collaborate with teams, mentor engineers, and ensure code quality while driving innovative solutions.

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.

Design, prototype, and deploy production-ready machine learning and generative AI solutions and agentic workflows. Own end-to-end model delivery, data and feature engineering, evaluation, deployment, monitoring, retraining, and governance. Collaborate with product, engineering, and risk stakeholders and contribute reusable patterns and services to accelerate adoption and ensure responsible AI practices.

Responsible for driving revenue by acquiring new B2B customers, conducting technical discovery calls, managing sales pipelines, and collaborating with global 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.

Responsible for overseeing fund accounting tasks, including NAV calculations, reconciliations, and mentoring team members while ensuring compliance with procedures.

Design and implement robotic automation systems, collaborating with machine learning engineers for large-scale deployment and testing of robotics solutions.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.