AI/ML Systems Lead — Architect & Scale Data Platforms

Keka Technologies Private Limited; Qatar; Remote; QAR 320,000 - 540,000; Full time

Benefits offered by this job

Global team

Learning budget

Flexible time off

Great Place to Work

Job summary

Snoonu in Qatar seeks a senior technical leader to guide a cross-functional engineering team focused on Python applications, AI/ML services, and data-driven platforms. You will mentor Senior, Middle, and Junior Engineers and align projects with ML requirements and engineering standards.

You will drive end-to-end architecture for model-serving, Python backends, and data pipelines, coordinate with Product, Data Science, QA, DevOps, and Platform Leads, and translate complex ML initiatives into

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• Experience in logistics solutions or related fields.
• Advanced degrees in AI/ML or Applied Data Science are a plus.

Responsibilities

• Lead a cross-functional engineering team focused on Python applications, AI/ML services, and data-driven platforms.
• Mentor Senior, Middle, and Junior Engineers, ensuring alignment with engineering standards and ML project requirements.
• Coordinate with Product, Data Science, QA, DevOps, and Platform Leads to ensure the successful delivery of AI/ML initiatives.
• Drive end-to-end architecture and design for AI/ML applications, model-serving infrastructure, and Python backend services.
• Oversee architectural decisions for scalable model deployment (REST APIs, streaming pipelines, batch systems), ensuring performance, reliability, and maintainability.

Skills

Python

ML systems

Team leadership

Backend frameworks

Education

Bachelor's degree in CS/Engineering

Tools

FastAPI

Flask

Django

Docker

Kubernetes

Job description

Snoonu in Qatar seeks a senior technical leader to guide a cross-functional engineering team focused on Python applications, AI/ML services, and data-driven platforms. You will mentor Senior, Middle, and Junior Engineers and align projects with ML requirements and engineering standards.

You will drive end-to-end architecture for model-serving, Python backends, and data pipelines, coordinate with Product, Data Science, QA, DevOps, and Platform Leads, and translate complex ML initiatives into