AI/ML Engineer

About the role

We are seeking a hands-on, versatile AI/ML Engineer (Full-Stack Machine Learning Developer) to join our team on a full-time, project-based arrangement. In this role, you will take AI/ML concepts from initial design to production deployment, serving as the bridge between data science, software engineering, and MLOps to deliver end-to-end AI solutions.

Key responsibilities

• Collect, clean, and preprocess data for training and testing
• Design and develop machine learning models using classical ML or deep learning approaches
• Train, tune, and validate models using real-world datasets
• Conduct performance testing and detailed error analysis
• Develop robust APIs or microservices to integrate ML models into the core platform
• Collaborate with backend and frontend developers to embed AI functionality seamlessly
• Ensure high-efficiency inference and system scalability in production environments
• Package and deploy models using tools such as Docker, FastAPI, or cloud ML infrastructure
• Establish monitoring systems for model accuracy, data drift, and overall system performance
• Maintain strict version control for models, code, and data pipelines

About you

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field
• 3+ years of hands-on experience in applied machine learning or AI engineering
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Practical understanding of model evaluation, hyperparameter tuning, and error analysis
• Experience with data pipelines (ETL, data versioning, labeling tools)
• Familiarity with cloud services (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
• Experience building applications with Large Language Models (LLMs), prompt engineering, or LangChain
• Experience with vector databases (e.g., Pinecone, FAISS, Milvus)

Benefits

• Competitive monthly salary package (₱70,000.00 – ₱100,000.00 per month)
• Hybrid work setup with flexible remote options
• Direct impact on core business initiatives with full autonomy over technical design and execution
• Collaborative work culture prioritizing continuous learning and innovation