Python (Programming Language)

Accenture; Cebu City; On-site; PHP 600,000 - 900,000; Full time

Job summary

Accenture seeks an experienced AI/ML Developer to design data-driven solutions powering business decisions. Strong Python skills and LLM experience are essential for building and deploying AI/ML models.

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

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 2 years of backend and/or AI/ML development experience.
• Strong expertise in Python (core language and libraries).
• Experience with integrating multiple data sources and databases into unified systems.

Responsibilities

• Design and implement low-latency, high-availability, 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, tested Python code.
• Implement data storage and retrieval strategies.
• Build robust APIs and services for AI/ML deployment.

Skills

Python

LLMs

Backend development

APIs

Cloud services

Education

Bachelor's degree in CS/IT

Tools

Git

Mercurial

SVN

Jinja2

Mako

AWS

Azure

GCP

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.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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