Top Machine Learning Jobs in the Philippines

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

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

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 Fraud Risk Expert/Manager will assess fraud vulnerabilities, implement detection strategies, conduct investigations, ensure compliance with regulations, and collaborate with various departments to enhance fraud risk management.

As a Junior Research Analyst, you will analyze and input risk data related to ESG issues into the RepRisk database and assess incidents accordingly.

The Sales Director, APAC will manage sales and account operations in the aviation sector, focusing on acquiring new customers and maintaining existing accounts. This role involves generating sales opportunities, collaborating with technical teams, and reporting sales metrics while traveling for customer engagement and meetings.

The role involves supporting the sales cycle by providing technical expertise in Data Cloud and AI solutions, including building Proofs of Concept to demonstrate their value to stakeholders and advising on cloud architecture.

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.

Lead HR analytics to deliver dashboards, reports, and predictive models supporting workforce planning, talent management, retention, and strategic HR decisions. Ensure data quality, governance, and cross-functional partnership to drive actionable insights and continuous improvement.

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

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

The Senior AI Architect will design and implement scalable AI solutions across APAC, mentor teams, and drive AI best practices while engaging with customers.

The Sales Manager will drive revenue growth and expand market share in the Philippines through strategic sales initiatives, client relationship building, and leading sales cycles.

The Lead, Machine Learning Researcher is responsible for translating business problems into machine learning questions, developing and evaluating models, mentoring peers, and collaborating with engineers for model deployment and integration.

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

The Lead AI Engineer leads technical teams to develop AI-driven solutions, ensuring software quality and guiding innovation projects throughout the development lifecycle.

Design and develop AI solutions using advanced analytics and cloud technology while conducting market research for AI products and collaborating across teams.

Collaborate with teams to develop scalable ML and GenAI solutions, evaluate technologies for improvements, and support change management.

Design and implement AI-driven solutions, build scalable backend services, and collaborate with data science teams to optimize ML models for production.

The AI/ML DevOps Engineer will manage AI systems, automate model deployment, monitor performance, ensure compliance, and optimize AI workflows.

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.

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

As a Data Scientist at Dyneti, you will track fraud trends, translate insights into product improvements, and build impactful solutions to enhance fraud prevention.