Top Machine Learning Jobs in Caloocan

Leads business analysis for AI and automation initiatives by identifying adoption opportunities, defining requirements, developing business cases, facilitating stakeholder alignment, and supporting solution design and delivery. Monitors outcomes, value realization, governance, compliance, change management, and continuous improvement while mentoring junior analysts. Translates business objectives into technical requirements and advises executives and technical teams throughout AI transformation programs.

The AI Security Analyst will assess and mitigate risks across AI systems, machine learning platforms, and Generative AI applications. Responsibilities include threat modeling, vulnerability assessment, security monitoring, incident response, root cause analysis, access control, governance, compliance, policy development, and secure AI design reviews. The role partners with engineering, infrastructure, security, governance, and business teams to improve AI security capabilities and promote responsible AI adoption.

Owns AI product backlogs, priorities, user stories, acceptance criteria, and requirements. Translates business needs into technical solutions while coordinating stakeholders, AI engineers, product managers, and delivery teams. Supports Agile planning, product releases, adoption monitoring, continuous improvement, AI innovation, and responsible AI practices. Facilitates workshops, manages expectations, and contributes to AI product strategy and value realization.

Leads the strategy, roadmap, delivery, and continuous improvement of AI-powered products. Defines product vision, requirements, priorities, metrics, and success criteria while collaborating with executives, engineering, AI, data science, and business teams. Oversees product launches, adoption, performance optimization, stakeholder communication, and responsible AI governance. Requires strong product management, analytical, commercial, Agile, executive communication, and cross-functional leadership skills.

Supports enterprise AI governance by developing policies, maintaining control frameworks, assessing AI risks, monitoring regulatory compliance, and reporting governance metrics. Collaborates with legal, compliance, security, AI, and business stakeholders to promote responsible AI practices. The role also researches emerging regulations, supports audits, documents findings, and recommends improvements to governance processes.

Supports responsible AI governance through framework development, risk and impact assessments, fairness and transparency reviews, regulatory compliance, documentation, stakeholder advisory, training, and continuous improvement. The role collaborates with technical, legal, compliance, risk, and business teams to promote ethical, accountable, and trustworthy AI adoption.

Own the strategy, roadmap, development, delivery, and continuous improvement of AI-powered products. Translate business objectives and customer needs into product requirements, success metrics, and business cases. Partner with engineering, AI, operations, leadership, and customers to manage product lifecycles, adoption, ROI, governance, compliance, and responsible AI practices.

Supports the day-to-day operation, monitoring, reporting, governance, and continuous improvement of AI-powered platforms. Analyzes performance metrics, identifies operational issues and optimization opportunities, develops dashboards and reports, maintains procedures and documentation, and coordinates issue resolution across AI engineers, product teams, operations leaders, and business stakeholders. The role also supports AI adoption, compliance, risk mitigation, and operational standards.

Tests and validates AI-powered products, machine learning models, and Generative AI applications. Designs test strategies, executes functional, regression, and acceptance testing, validates model outputs, identifies defects, analyzes quality metrics, documents results, and supports compliance and release readiness. Collaborates with AI engineers, product managers, and business teams while improving AI testing methodologies and quality frameworks.

Build and scale customer-facing and internal web applications for an AI-powered eCommerce customer service platform. Develop and enhance AI agents, integrate eCommerce platforms, apply privacy and security practices, and help shape the product’s technical direction. As the founding technology team member, the role offers significant ownership, equity, and potential progression into technical leadership.

Manage employee relations and HR operations for the Manila office, including performance improvement plans, disciplinary and grievance processes, absence management, labor-law compliance, exit interviews, manager support, training, onboarding, offboarding, benefits administration, and HR projects. Partner with managers and senior leaders as a trusted people advisor while supporting a fast-paced, hybrid global organization and working European hours.

Develops data-driven business insights through statistical analysis, SQL querying, dashboards, reporting strategy, and executive storytelling. Translates analytical findings into actionable recommendations, oversees reporting roadmaps, partners with visualization and engineering teams, and identifies business risks and opportunities. The role is fully onsite on a night shift in Imus, Cavite or Ortigas.

Design, implement and support web and mobile (Android/iOS/hybrid) software solutions as part of a Scrum team. Attend client meetings, communicate progress, learn deployment processes, and travel for on-site assignments and training.

Develop and maintain Power Platform-based BI solutions and automations, perform ETL and data cleansing, build Power BI dashboards and predictive risk models, integrate AI/ML into reporting, and support cybersecurity, IT, and finance data collection and visualization for senior leadership and operational teams.

Lead NAV operations and fund administration activities, ensuring accurate NAV calculation, regulatory compliance, client service, team leadership, and technology-enabled process improvement.

Own an AI-native stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, limits, privacy, licensing, regulatory approvals, and third-party financial rails. Apply AI with appropriate evaluation, safeguards, human oversight, and reliability controls while aligning engineering, design, compliance, operations, treasury, and finance.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

Provides technical consulting for AML, sanctions screening, and third-party risk solutions across APAC. Leads RFPs, sales engagements, client implementations, API integrations, data pipelines, analytics, reporting, and risk decisioning initiatives. Advises customers on data architecture, modeling, transformation, and enrichment while serving as a technical SME and customer advocate. Partners with sales, product, and delivery teams, presents at industry events, and monitors regulatory, technology, and competitive developments.

Recruit, onboard, activate, and grow managed service provider partners across assigned markets. Own recurring revenue growth, product adoption, cross-sell, partner tier progression, and consumption-based sales. Deliver partner onboarding, business reviews, certifications, and sales enablement while managing high-volume pipelines, forecasting, deal registration, distributor alignment, and presales collaboration in Salesforce.

Support development and delivery of risk and compliance technology capabilities: gather and document requirements, drive UAT, assess solution designs, manage technology initiatives, integrate systems, and support AI/analytics adoption to enhance operational risk monitoring and reporting.

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

Develops and supports SAP BI and data integration solutions, including data acquisition, cleansing, ETL, modeling, testing, troubleshooting, reporting, and documentation. Supports global analytics projects, business reporting, incidents, and on-call operations. Evaluates data sources, designs relational and dimensional models, automates repetitive tasks, and collaborates with analysts, engineers, and international business teams.

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

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.

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.