Top Machine Learning Jobs in Caloocan

Lead and facilitate Six Sigma improvement projects across business teams: define scope, analyze data, measure results, present findings to senior leadership, deploy process trainings, manage vendors, and support 200-400 FTEs or multiple complex business units.

Manage product development for fraud-related solutions, working with stakeholders to define features, track performance, and innovate product strategies within FinTech.

The role leads marketing consulting efforts for Mastercard's clients, focusing on digital performance marketing using data-driven insights and advanced AI capabilities to enhance customer engagement and improve marketing ROI.

As a Sales Graduate, you will understand customer needs, design solutions, support account teams, and advance sales opportunities while enhancing your professional skills.

Develop, test, deploy, and maintain production-grade AI/ML models and LLM-powered applications. Participate across the AI lifecycle, implement cloud/IaC solutions, contribute to reusable platforms, collaborate with cross-functional teams, and troubleshoot production issues while learning from senior engineers.

The Business Analyst will gather and validate software requirements, organize project backlogs, facilitate communication, and support implementation activities in the FinTech sector.

The Investor Services Senior Administrator executes tasks in the Investor Services Department, reviews transaction instructions, liaises with investors, and prepares reports and wire transfers. Requires strong analytical and communication skills.

The AML Senior Administrator will support the Investor Services department with AML compliance, customer due diligence, and file review tasks as assigned.

Lead regional adoption of AI-driven video production: design AI-led strategy, standardize workflows, identify and test tools, train local teams, optimize productivity KPIs, and scale high-quality ecommerce and social commerce video content across Southeast Asia.

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

The role involves building client relationships, educating on the FICO Platform, managing software solutions sales, and achieving sales targets.

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.

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

Manage reporting, advanced analytics, and automation for US Segment risk: produce regulatory and executive reports, automate processes and dashboards, support ML/LLM projects, maintain data ingestion, cleaning, ETL, and deliver analytics to senior risk stakeholders.

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.

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.

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.

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

Lead the Testing Pillar's multi-year transformation roadmap, manage product launch cycles, enhance operational reporting, and ensure client feedback is integrated into product planning.

Design and deliver advanced ML and Gen AI solutions from data preparation through deployment and monitoring. Build classification, prediction, credit decisioning, propensity, and optimization models. Lead end-to-end analytical delivery, implement MLOps/ModelOps for productionization, and present decision-ready insights with advanced visualization and stakeholder engagement.

Lead clinical statistical programming: develop SDTM/ADaM datasets and specs, produce tables/listings/figures, create FDA electronic submission packages, mentor team members, liaise with statisticians and global sponsors while ensuring regulatory compliance.