AI/ML Platform Lead & Architect

Snoonu; Doha; On-site; QAR 120,000 - 180,000; Full time

Benefits offered by this job

Global vibes

Learning budgets

Autonomy

Flexible time off

Agile environment

Job summary

Snoonu, Qatar’s homegrown Super App, seeks an experienced engineering leader to guide a cross-functional team building Python-based backends, AI/ML services, and data platforms. You will mentor engineers, align ML work with product goals, and drive scalable architecture for model serving and data pipelines.

Leading by example, you will foster a culture of excellence, automation, and reliable delivery across cloud-native environments (AWS/GCP), with a focus on performance, monitoring, and

Qualifications

• Experience leading cross-functional AI/ML engineering teams.
• Strong Python backend and ML system design experience.
• Proven ability to deliver scalable model-serving platforms.

Responsibilities

• Lead a cross-functional engineering team focused on Python apps, AI/ML services, and data platforms.
• Define technical roadmaps, standards, and quality for ML deployment and data pipelines.
• Collaborate with Product, Data Science, QA, DevOps, and Platform Leads to ensure on-time delivery.
• Mentor engineers across senior, mid, and junior levels and drive skill growth.

Skills

Leadership

Python

ML/AI systems

Cloud (AWS/GCP)

Data Pipelines

MLOps

CI/CD

Distributed Systems

Team Mentoring

Education

Bachelors in Computer Science/Engineering

MSc/PhD in AI/ML (a plus)

Tools

FastAPI

Flask

Django

TorchServe

MLflow

SageMaker

Vertex AI

Job description

Snoonu, Qatar’s homegrown Super App, seeks an experienced engineering leader to guide a cross-functional team building Python-based backends, AI/ML services, and data platforms. You will mentor engineers, align ML work with product goals, and drive scalable architecture for model serving and data pipelines.

Leading by example, you will foster a culture of excellence, automation, and reliable delivery across cloud-native environments (AWS/GCP), with a focus on performance, monitoring, and