Top Machine Learning Jobs in Manila

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.

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 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.

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

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.