Tech Lead, AI/ML Logistics Platforms

Snoonu; Doha; On-site; QAR 510,000 - 764,000; Full time

Benefits offered by this job

Global Vibes

Brain Boosters

Builder’s Playground

Flexible Time Off

Agile Everything

Job summary

Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.

We’re seeking a hands-on leader to drive a cross-functional engineering team focused on Python applications, AI/ML services, and data-driven platforms. You will mentor engineers, set strategic goals, and collaborate with Product, Data Science, QA, DevOps, and Platform Leads to deliver

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• Experience in logistics solutions or related fields.
• Advanced degrees (MSc/PhD) in AI/ML or Applied Data Science are a plus.
• Strong communication skills to explain ML workflows to technical and business stakeholders.
• Data-driven decision-making and the ability to justify improvements using metrics.
• Balanced leadership mindset—delegating and hands-on technical work.
• Comfortable navigating ambiguity and aligning stakeholders in AI-driven product contexts.

Responsibilities

• Lead a cross-functional engineering team focused on Python apps, AI/ML services, and data platforms.
• Mentor Senior, Middle, and Junior Engineers, ensuring alignment with engineering standards and ML project requirements.
• Set short-, mid-, and long-term goals for the team, continuously supporting skill growth in software engineering and ML system design.
• 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.
• Define standards for feature engineering pipelines, data ingestion flows, and integration with MLOps platforms.
• Break down complex AI/ML initiatives into actionable engineering tasks and clear technical roadmaps.
• Collaborate with Data Scientists to productionize ML models, ensuring reproducibility, versioning, and monitoring.
• Lead implementation of model-serving frameworks, vector databases, data processing jobs, and inference optimization strategies.
• Ensure adherence to best practices in experiment tracking, model evaluation, and A/B testing for ML features.
• Improve development workflows, CI/CD pipelines, and ML lifecycle automation.
• Promote coding standards, technical documentation, and reduction of technical debt across AI/ML projects.
• Introduce new tools and technologies that enhance model performance, data quality, and engineering productivity.
• Participate in hiring for backend and ML-focused roles and facilitate knowledge-sharing sessions.
• Strengthen team culture through collaboration, mentorship, and proactive communication.
• Oversee reliability of AI/ML services, including model drift detection, data quality monitoring, and performance metrics.
• Coordinate incident response, root-cause analysis, and cross-team escalations for production ML systems.

Skills

Python

Leadership

Mentorship

AI/ML

Backend engineering

Distributed systems

Education

Bachelor's degree in Computer Science/Engineering/Data Science

MSc/PhD in AI/ML or Applied Data Science

Tools

FastAPI

Flask

Django

TensorFlow

PyTorch

Scikit-learn

TorchServe

MLflow

SageMaker

Kubernetes

Docker

Vector databases

Job description

Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.

We’re seeking a hands-on leader to drive a cross-functional engineering team focused on Python applications, AI/ML services, and data-driven platforms. You will mentor engineers, set strategic goals, and collaborate with Product, Data Science, QA, DevOps, and Platform Leads to deliver