Python (Programming Language)-AI/ML Developer

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.

Requirements

• 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 Pythons 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.