Top Machine Learning Jobs in Manila

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.

Design and deploy AI-driven solutions, build automation workflows, analyze data, support innovation, and collaborate with teams to address business needs.

The Junior Project Manager will lead AI-focused projects, ensuring timely delivery and effective collaboration across teams while managing risks and compliance.

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.

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 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.

Own and grow BioCatch accounts in the Philippines (primarily banking/financial services). Build strategic account plans, prospect and close new business, upsell and cross-sell, collaborate with APAC commercial teams, manage pipeline/forecasting, represent BioCatch at events, and drive customer satisfaction and technology adoption.

As a Senior Data Scientist at Feedzai, you will analyze client data, develop models, preprocess data, and collaborate with teams to enhance risk management solutions.

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.

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.

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.

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

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.

The Private Equity Supervisor at HedgeServ manages a team of accountants, ensures service consistency, oversees fund accounting, and develops client relationships while enhancing workflows and procedures.

Build, maintain, and improve programming solutions and AI/ML applications to automate workflows, analyze operational data, and optimize processes. Collaborate with cross-functional teams, maintain operational systems, and document technical procedures to support reliable, scalable operations.

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

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.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

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.

Lead design and management of search and content recommendation services and models. Build personalized recommender systems using ML/AI, define success metrics with product and business teams, drive core module development, and translate PB-scale data insights into measurable product impact.

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

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.