AI Engineer: ML, NLP & Cloud Deployment

Tri-Unity Talent Sourcing & Human Resource Management Services; Makati; Remote; PHP 1,200,000 - 1,800,000; Full time

Job summary

A talent sourcing and HR management firm in Metro Manila is seeking an experienced AI Engineer to design, develop, and deploy AI-driven solutions. Ideal candidates should possess strong expertise in Python, machine learning frameworks, and cloud services. Responsibilities include leading intelligent systems development and supporting AI integrations across cloud platforms. This role requires problem-solving skills and the ability to work in distributed environments.

Qualifications

• Strong experience with Python, machine learning frameworks, and cloud-based AI services is essential.
• Demonstrated experience training, evaluating, and optimizing ML and deep learning models.
• Strong foundation in algorithms, data structures, and mathematical modeling.

Responsibilities

• Lead the development of intelligent systems ranging from predictive models to LLM-based applications.
• Support AI integration work across cloud platforms (Azure, AWS, or GCP).
• Manage inference endpoints, enabling secure access to AI/ML resources.

Skills

Python (NumPy, Pandas, Scikit-learn)

TensorFlow or PyTorch

Machine Learning (supervised/unsupervised methods)

Deep Learning architectures (CNN, RNN, Transformers)

Natural Language Processing (NLP) and LLMs

API development & integration (REST, FastAPI, Flask)

Data pipelines (ETL, feature engineering, preprocessing)

Experience building and deploying end-to-end ML solutions.

Ability to write clean, maintainable, modular, and well-documented code.

AI / Model Development Expertise

Tools

Azure Machine Learning

AWS Sagemaker

Google Vertex AI

Docker

Kubernetes

Job description

A talent sourcing and HR management firm in Metro Manila is seeking an experienced AI Engineer to design, develop, and deploy AI-driven solutions. Ideal candidates should possess strong expertise in Python, machine learning frameworks, and cloud services. Responsibilities include leading intelligent systems development and supporting AI integrations across cloud platforms. This role requires problem-solving skills and the ability to work in distributed environments.