Top Machine Learning Jobs in the Philippines

Lead design and delivery of SAP EWM in S/4HANA and RISE/GROW, configure EWM, integrate with SAP modules (TM, MM/IM, SD, PP, QM), run workshops/training, troubleshoot issues, and advise on architecture and best practices.

As Head of Credit, you will develop credit policies, collaborate with data science teams, manage credit programs, and lead a team to drive business growth in the Philippines.

The Sales Representative is responsible for increasing partner integrations, ensuring sales targets are met, training partners, and conducting market analysis.

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

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 Promoter Manager develops and executes regional demand generation strategies, oversees field marketing agencies, and analyzes sales data to enhance brand awareness and sales performance.

Develop and implement AI systems for automated research, collaborate on production-ready models, publish research, and stay updated on AI trends.

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

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.

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

The Machine Learning Intern will work on applied computer vision pipelines, experiment with ML models, write well-structured code, and participate in design sessions.

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.

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

Design and build AI-enabled backend services and scalable microservices in Python/Java. Integrate, productionize and monitor ML models, own the full development lifecycle and L3 support, collaborate with Data Science, standardize MLOps pipelines, and mentor junior engineers.

Design, build, and operate AI/ML production platforms and scalable backend microservices using Python/Java. Integrate, deploy, monitor, and optimize ML models; own full development lifecycle and L3 support; drive MLOps, cloud infrastructure, CI/CD, documentation, and mentor junior engineers.

The ML/AI Engineer will design, develop, and implement machine learning models and AI solutions, collaborating with software engineers and cross-functional teams.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As a Lead MLOps Engineer, oversee the performance and robustness of ML models, optimize deployment pipelines, and ensure high availability and compliance.

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.