Top Machine Learning Jobs in the Philippines

As a Network Engineer at Ericsson, you will analyze, audit, design, and optimize telecom networks, support pre-sales activities, and ensure project efficiency and quality.

Manage product development for fraud-related solutions, working with stakeholders to define features, track performance, and innovate product strategies within FinTech.

The role leads marketing consulting efforts for Mastercard's clients, focusing on digital performance marketing using data-driven insights and advanced AI capabilities to enhance customer engagement and improve marketing ROI.

Join a training development program to learn and contribute to software engineering tasks including analysis, design, coding, testing, debugging, automation, and tooling. Participate in an initial in-office bootcamp, then work on team projects following hybrid work policies.

Participate in a four-week in-office onboarding bootcamp, then join a software engineering team to design, code, test, debug, automate, and maintain applications. Contribute to real-world projects, evaluate tools and techniques, build utilities to improve efficiency, and apply AI/ML where applicable while complying with company policies and hybrid work requirements.

The Senior AI ML Engineer designs and develops full-stack applications, integrates AI/ML models, manages cloud deployments, and ensures secure data access.

The role involves automating inspection data processes, analyzing trends, developing dashboards, and collaborating with cross-functional teams to enhance manufacturing efficiency.

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

The Sales Representative will increase partner origination, build relationships, train retailers, and drive sales targets while maintaining customer database and reporting to management.

Sales Representative responsible for increasing partner origination and integration, training, and achieving sales targets through relationship building and direct sales efforts.

The Sales Representative is responsible for increasing partner origination, maintaining relationships with merchants, training staff, and achieving sales targets through field work and direct sales.

The Sales Representative will enhance partner origination and integration by building strong relationships, ensuring sales targets are met, and providing training and support at retail locations.

The role involves providing technical expertise in Salesforce's Data Cloud and Agentforce solutions, conducting Proof of Concepts, and advising on cloud architecture and AI capabilities for clients.

As a Deployment Operations Specialist, manage customer operations, ensure robotic systems function reliably, enhance customer satisfaction, and improve operational processes.

Manage privacy engineering initiatives by conducting assessments, developing compliance solutions, and integrating AI technologies, ensuring regulatory adherence and risk mitigation.

Design, build, and optimize user-facing applications that integrate AI-powered features. Collaborate with back-end teams and implement AI-driven functionalities.

Lead key client accounts in sales, managing senior relationships and structuring complex deals, while fostering business growth and strategic partnerships.

As AML Transaction Monitoring Investigations Manager, you'll lead investigations into financial crimes, manage a team, ensure compliance with AML policies, and support audits and reporting efforts.

Analyze data to identify risk patterns, report on risk exposure, monitor lending portfolios, and develop predictive models using innovative data sources.

Manage customer, market, and competitive intelligence analytics. Use advanced AI and machine learning for insights to guide business strategy and retention efforts.

As a Senior Data Scientist, you will clean and preprocess client data, develop models, and collaborate with stakeholders to enhance risk prevention solutions.

Lead the Testing Pillar's multi-year transformation roadmap, manage product launch cycles, enhance operational reporting, and ensure client feedback is integrated into product planning.

Design, develop, test, and support automation and image-analytics solutions using ML/AI for 24/7 manufacturing. Integrate with MES, perform root-cause analysis, optimize automation, maintain version control, and support deployment and L1 teams following SDLC/DevOps and Agile practices.

Design and deliver advanced ML and Gen AI solutions from data preparation through deployment and monitoring. Build classification, prediction, credit decisioning, propensity, and optimization models. Lead end-to-end analytical delivery, implement MLOps/ModelOps for productionization, and present decision-ready insights with advanced visualization and stakeholder engagement.

Lead clinical statistical programming: develop SDTM/ADaM datasets and specs, produce tables/listings/figures, create FDA electronic submission packages, mentor team members, liaise with statisticians and global sponsors while ensuring regulatory compliance.