Top Machine Learning Jobs in Caloocan

Lead controls, governance, reporting and analytics for Global Investments Operations. Manage reconciliations, dashboards (PowerBI), data gathering/cleansing, root cause analysis, process improvements, compliance support and stakeholder coordination.

The Private Equity Supervisor at HedgeServ manages a team of accountants, ensures service consistency, oversees fund accounting, and develops client relationships while enhancing workflows and procedures.

Build, maintain, and improve programming solutions and AI/ML applications to automate workflows, analyze operational data, and optimize processes. Collaborate with cross-functional teams, maintain operational systems, and document technical procedures to support reliable, scalable operations.

This internship involves developing AI-driven solutions, testing features with LLMs, building prototypes, collaborating with engineers, and exploring AI capabilities.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.

The Catastrophe Modeling Analyst quantifies risk, analyzes client exposure using models, applies machine learning techniques to datasets, and produces clear reports and dashboards.

Intern will develop AI-driven automation and DevOps tooling: environment provisioning scripts and CI/CD hooks, IaC modules, test automation, NLP-based requirement evaluation, triage classifiers, and dashboards to optimize release readiness.

Lead design, build, and deploy AI-driven automation and AI agents to transform finance operations. Partner with finance teams to redesign processes, improve reporting, enhance data governance, and drive adoption through change management, training, and ongoing capability building.

Manage overall NAV calculation for credit-based funds, client relationships, fund accounting team, and ensure timely delivery of NAV calculations while supporting audits and training.

Responsible for overseeing fund accounting tasks, including NAV calculations, reconciliations, and mentoring team members while ensuring compliance with procedures.

Lead the implementation of Workday Recruiting, leveraging AI tools to optimize talent acquisition processes and improve user experiences. Engage directly with stakeholders and ensure a smooth transition to new systems.

Lead design, implementation, and optimization of fraud detection rules and ML models. Analyze large datasets for emerging fraud, monitor KPIs, manage vendor/tool integration, lead incident investigations, and ensure quality assurance and documentation of fraud strategies.

Manage and grow enterprise airline accounts using Volantio's SaaS platform. Own implementation, launch, optimization, support, renewals, and expansion. Act as product and technical expert, coordinate with Product and Engineering, drive retention and revenue metrics, run regular customer cadences (weekly support, QBRs, onsite visits), and identify optimization opportunities to deliver quantified customer value.

Own and scale APAC programmatic advertising strategy to drive user acquisition, retention, and ROAS. Lead media buying across auctions, PMPs, preferred deals and PG; leverage AI/ML and automation; set best practices for targeting, frequency, remarketing, brand safety and DCO; research and scale emerging channels like CTV, audio, contextual and DOOH.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Lead design and management of search and content recommendation services and models. Build personalized recommender systems using ML/AI, define success metrics with product and business teams, drive core module development, and translate PB-scale data insights into measurable product impact.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

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

Support PASD IT Systems Governance by ensuring application compliance, managing application health via CREQ/Jira, onboarding new applications, maintaining validation and audit readiness (GAMP5/21 CFR Part 11), collecting governance data, driving SOP‑led process improvements, providing training, and acting as Application Manager when needed.

The Automation Solutions Manager analyzes business requirements, identifies automation opportunities, translates processes into AI-driven solutions, and collaborates with IT and Data Science teams to improve data governance and integration.