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Python - AI/ML Developer

Summary

Build and deploy AI/ML models, especially LLMs, in Python to power data-driven business decisions and scalable backend services.

On-site - Cebu 1-3 Yrs Exp Bachelor Full-time

Job Description

We are seeking an experienced AI/ML Developer to design and deliver intelligent, data-driven solutions that power business decision-making. The ideal candidate has strong Python skills and deep knowledge in building and deploying AI/ML models, especially those based on Large Language Models (LLMs).

  • Design and implement low-latency, high-availability, and scalable backend applications.
  • Develop AI/ML frameworks to enable automated, intelligent business processes.
  • Integrate server-side logic with data pipelines and front-end components.
  • Write clean, reusable, testable, and efficient Python code.
  • Implement data storage and retrieval strategies.
  • Contribute to data platform design, ensuring reliable architecture for ML models.
  • Collaborate with Integration and Data Architects to align on data model and system integration.
  • Build robust APIs and services for AI/ML deployment.

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Minimum of 2 years of working experience in backend and/or AI/ML development.
  • Strong expertise in Python (core language and libraries).
  • Proficient in integrating multiple data sources and databases into unified systems.
  • Skilled in version control tools (e.g., Git, Mercurial, SVN).
  • Knowledge of event-driven programming in Python.
  • Experience with user authentication and multi-system integration.
  • Capable of designing database schemas that support business processes.
  • Understanding of Python’s threading model and multi-process architecture.
  • Familiar with server-side templating (e.g., Jinja2, Mako).
  • Strong debugging and unit testing skills.
  • Security and accessibility best practices awareness.
  • Hands-on experience with Large Language Models (LLMs) — including prompt engineering, fine-tuning, and deployment.
  • Familiarity with deep learning architectures and neural networks.
  • Experience developing cloud-based AI solutions and integrating with AI services (e.g., AWS, Azure, GCP).
  • Knowledge of Marketing Mix Modeling (MMM) is a plus.
  • Excellent communication and collaboration skills.

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See also