Python AI ML Developer

Accenture in the Philippines

Philippines

On-site

PHP 600,000 - 1,400,000

Full time

21 hours ago
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Job summary

Accenture in the Philippines is seeking an experienced AI/ML Developer to design and deliver intelligent, data-driven solutions that power business decision-making. The role emphasizes strong Python skills and hands-on work with Large Language Models (LLMs) to build and deploy models in production.

You will design scalable backend applications, develop AI/ML frameworks, integrate data pipelines, and create robust APIs while collaborating with data architects and cross-functional teams.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Minimum 2 years of backend and/or AI/ML development experience.
  • Strong Python expertise and knowledge of AI/ML model deployment.
  • Experience integrating multiple data sources and building scalable backend systems.

Responsibilities

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

Skills

Python
LLMs
APIs
Unit testing
Git
Mercurial
SVN
Event-driven programming
Cloud AI
Data integration
Security best practices
Debugging
Communication

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

Jinja2
Mako
SQL
ETL

Job description

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.
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 2 years of 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).
  • Basic understanding of front-end technologies (JavaScript, HTML5, CSS3) for integration.
  • Strong debugging and unit testing skills.
  • Security and accessibility best practices awareness.
  • Experience optimizing applications across platforms (mobile vs desktop).
  • 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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