AI Engineer

Tri-Unity Talent Sourcing & HR Management Services

Makati

Remote

PHP 800,000 - 1,200,000

Full time

14 days+

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Job summary

A leading HR services company is seeking an AI Engineer to design, develop, and deploy AI-driven solutions. Candidates should have strong programming skills in Python and experience with machine learning, deep learning, and cloud services. The position requires proficiency in NLP, API development, and data pipeline design. Join a dynamic team to lead the development of intelligent systems and contribute to innovative AI projects in a remote or distributed setting.

Qualifications

Strong programming skills in Python (NumPy, Pandas, Scikit-learn).
Experience with TensorFlow or PyTorch.
Proficiency in machine learning (supervised/unsupervised methods).
Experience in natural language processing (NLP) and LLMs.
API development & integration.

Responsibilities

Work across the full AI lifecycle: data preprocessing, model experimentation, and deployment.
Support AI integration work across cloud platforms (Azure, AWS).
Hands-on experience with cloud AI services.

Skills

Python programming

Machine Learning

Deep Learning

Natural Language Processing (NLP)

API development

Data pipelines

TensorFlow

PyTorch

Cloud services (Azure, AWS, GCP)

Docker

Kubernetes

Git

Tools

NumPy

Pandas

Scikit-learn

FastAPI

Flask

Job description

Tech Stack: Python, TensorFlow / PyTorch, Machine Learning, Deep Learning, NLP, LLMs, Data Pipelines, APIs, Azure / AWS

Who We Are Looking For: We are looking for an AI Engineer with strong expertise in designing, developing, and deploying machine learning and AI-driven solutions. You will lead the development of intelligent systems ranging from predictive models to LLM-based applications, and contribute to data pipeline engineering, model optimization, and API integrations.

Responsibilities

Work across the full AI lifecycle: data preprocessing, model experimentation, model training, evaluation, deployment, and monitoring.
Support AI integration work across cloud platforms (Azure, AWS, or GCP), including deploying models, managing inference endpoints, and enabling secure access to AI/ML resources.
Hands‑on experience with cloud AI services related to AI workloads, identity management, and compute resources.

Qualifications

Strong programming skills in Python (NumPy, Pandas, Scikit-learn).
Experience with TensorFlow or PyTorch.
Proficiency in machine learning (supervised/unsupervised methods) and deep learning architectures (CNN, RNN, Transformers).
Experience in natural language processing (NLP) and LLMs.
API development & integration (REST, FastAPI, Flask).
Design and implementation of data pipelines (ETL, feature engineering, preprocessing).
Experience building and deploying end‑to‑end ML solutions.
Code quality: clear, maintainable, modular, well‑documented.
Model training, evaluation, optimization, vectorization, embeddings, performance tuning.
Model fine‑tuning, prompt engineering, retrieval‑augmented generation frameworks.
Container‑based deployment using Docker / Kubernetes.
Experience with cloud AI services: Azure Machine Learning, AWS SageMaker, or Google Vertex AI, including deployment, versioning, monitoring.
Secure authentication, tokens, access control for AI workloads.
Scalable compute environments (GPU, TPU, or managed training services).
Strong foundation in algorithms, data structures, mathematical modeling.
Proficiency with Git, branching strategies, CI/CD workflows.
Strong problem‑solving, debugging, analytical skills.
Ability to work independently in a remote or distributed team.
Excellent communication skills for explaining complex concepts and delivering clear documentation.