Python (Programming Language)

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.