ML / AI Jobs in Philippines
There are 64 open ML / AI jobs in Philippines on freehire right now. 14 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Most requested skills
- machine-learning 83%
- ai 75%
- python 63%
- cloud 58%
- data-science 39%
- pytorch 34%
- aws 33%
- azure 33%
How the work is done
- Remote 7 · 11%
- Hybrid 3 · 5%
- Onsite 1 · 2%
Visa sponsorship offered in 100% of the 2 postings that state a position on it.
Seniority
- Senior 19
- Staff 3
- Lead 2
- Middle 1
Who is hiring
- 1000+ employees 10
- 11-50 employees 1
- 501-1000 employees 1
Senior AI/ML Engineer (GenAI, AWS)
Build and deploy generative AI models and LLM-based systems on AWS for clients, focusing on production-grade RAG, agentic workflows, and ML pipelines.
Senior Machine Learning Engineer — Build Production AI at Scale
Senior ML Engineer builds and deploys production-grade AI models for personalization and recommendations using Python and data processing tech.
Machine Learning Engineer (Applied AI/ML)
Build and deploy ML models (XGBoost, RAG, agent workflows) to drive business decisions in consumer banking, partnering with developers to integrate solutions.
Research Robotics/Computer Vision Engineer
Researches and builds 3D computer vision and SLAM systems for autonomous robots, focusing on perception pipelines, navigation, and manipulation in real-world environments.
AI/ML Engineer
Senior ML Engineer builds and scales AI models for retail analytics, focusing on computer vision and data-driven insights using Python, PyTorch, and Azure.
Machine Learning Engineer
Build and deploy ML models for retail analytics using Python, PyTorch, and Azure ML; clean data, run experiments, and productionize vision and multimodal AI solutions.
AI Engineer, Deep Learning Research Manager
Lead AI research at Globe Telecom: evaluate LLMs and AI platforms, run benchmarks, and recommend enterprise adoption strategies to guide the company’s AI direction.
AI Engineer - Deep Learning Research
Researches and evaluates emerging AI models and technologies to guide enterprise strategy, benchmarking open/closed-source LLMs and advising on adoption and deployment.
GenAI AI/ML Engineer — Remote & Production AI
Design and deploy production-grade AI/ML systems, owning the full lifecycle from data prep to deployment in a multidisciplinary team.
AI/ML Engineer
Design and deploy AI-powered solutions using LLMs, RAG, and NLP to build scalable, secure applications and automate business processes.
Machine Learning Engineer
Build and deploy LLM-based AI solutions for customer support, including voice/text agents, while optimizing ML infrastructure and MLOps pipelines on AWS/Databricks.
AI / Machine Learning Engineer
Designs and deploys AI/ML models to automate ERP workflows, build demand forecasts, NLP systems, and LLM-based tools, and exposes insights via APIs and lightweight UIs.
AI/ML Engineer
Builds AI-augmented developer tools using .NET, Python, and cloud services, integrating LLMs and vector databases to speed up software delivery and improve workflows.
Computer Vision Engineer
Build and improve video intelligence solutions for sports using computer vision and ML; enhance detection, tracking, and event recognition in video workflows.
AI/ML Engineer for ERP-Driven Data & Automation
Build AI/ML models and automation pipelines to integrate Franke’s ERP system with intelligent solutions for data-driven business insights and operational efficiency.
Senior AI/ML Engineer
Build and deploy AI/ML and generative-AI models to improve healthcare outcomes, using frameworks like PyTorch and cloud platforms such as AWS/Azure.
Senior Machine Learning Engineer
Senior ML Engineer builds real-time AI systems for games, including LLM-driven NPCs and adaptive environments, using C++/Python and Unreal Engine.
Senior Machine Learning Engineer
Senior ML Engineer builds and deploys transformer-based NLP models to auto-score exam answers, owning the full lifecycle from training to cloud deployment and bias mitigation.
Remote Senior Computer Vision Engineer for Edge & Retail AI
Architect and train computer-vision models for retail object recognition, optimize YOLO models for edge deployment, and lead data pipelines and annotation workflows.
AI/ML Engineer (Computer Vision) | Hybrid Work Setup
Build and deploy AI models, especially computer vision, to extract consumer insights and drive retail decisions using Python, PyTorch, and Azure ML.