πŸš€ talabat – Staff Engineer – ML Platform Vacancy in Dubai, UAE – Apply Before Oct 29, 2025

πŸ“Œ About talabat – Staff Engineer – ML Platform Vacancy

talabat Staff Engineer – ML Platform Dubai, UAE is an exceptional opportunity for professionals seeking to advance their careers in ML platform engineering and generative AI (genAI). The primary keyword: talabat Staff Engineer – ML Platform Dubai, UAE highlights a role that combines advanced technology, strategic decision-making, and hands-on ML operations.

talabat, a leading on-demand food and Q-commerce platform in the MENA region and part of Delivery Hero, has been delivering convenience, reliability, and innovation since 2004. This role offers the chance to work on scalable ML platforms, enabling rapid development, deployment, and monitoring of both traditional ML and generative AI models.

As a Staff Engineer, candidates will collaborate with data scientists, ML engineers, genAI specialists, and product teams to implement automated workflows, CI/CD pipelines, Docker containerization, real-time inference frameworks, and vector database integrations. The position allows professionals to directly impact millions of customers, riders, and restaurant partners while working on cutting-edge AI technologies such as transformers, embeddings, RAG systems, and cloud-based ML infrastructure.

talabat encourages innovation, operational excellence, and a high-performance culture, making this position ideal for ML engineers looking for growth in the UAE technology sector.


πŸ“‘ Table of Contents

  1. πŸ”Ή Job Overview

  2. πŸ”Ή Job Categories

  3. πŸ”Ή Primary Responsibilities by Role

  4. πŸ”Ή Why Work at talabat

  5. πŸ”Ή Candidate Eligibility Criteria

  6. πŸ”Ή How to Apply

  7. πŸ”Ή Frequently Asked Questions (FAQs)

  8. πŸ”Ή Final Thoughts


πŸ”Ή Job Overview

  • Company Name: talabat

  • Vacancy: Staff Engineer – ML Platform

  • Location: Dubai, UAE

  • Interview Date: Apply Immediately / Before Oct 29, 2025

  • Employment Type: Full-Time, On-Site

  • Experience Required: 5+ years in ML platform engineering, 2+ years in a tech lead role

The talabat Staff Engineer – ML Platform Dubai, UAE role is designed for experienced ML engineers and tech leads who want to build and scale robust ML infrastructure. Candidates will be responsible for designing end-to-end ML workflows, implementing CI/CD pipelines, deploying models with Docker and Kubernetes, and optimizing infrastructure for generative AI workloads. With opportunities to work on real-time inference pipelines, vector databases, and RAG systems, this position is perfect for those passionate about innovation, performance, and operational excellence in ML.


πŸ”Ή Job Categories

πŸš€ talabat – Staff Engineer - ML Platform Vacancy in Dubai, UAE – Apply Before Oct 29, 2025
πŸš€ talabat – Staff Engineer – ML Platform Vacancy in Dubai, UAE – Apply Before Oct 29, 2025
  • Data & Analytics

  • ML Platform Engineering

  • Generative AI Integration

  • Cloud Infrastructure & MLOps

  • Software Engineering


πŸ”Ή Primary Responsibilities by Role

  • Design, develop, and maintain scalable ML platforms supporting the full ML lifecycle.

  • Create standardized ML workflows using MLflow, Kubeflow, and other tools.

  • Implement robust CI/CD pipelines, Docker containerization, and infrastructure-as-code.

  • Integrate generative AI technologies including transformers, embeddings, and RAG systems.

  • Automate model training, deployment, inference, and versioning workflows.

  • Ensure reliability, observability, and scalability of ML production workloads.

  • Optimize infrastructure for generative AI use-cases (batching, caching, quantization).

  • Collaborate with cross-functional teams to align platform initiatives with company goals.

  • Contribute to internal documentation, onboarding, and training programs.

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πŸ”Ή Why Work at talabat

  • Work on cutting-edge ML and generative AI technologies.

  • Join a high-performance, collaborative environment fostering innovation.

  • Gain hands-on experience with cloud infrastructure (AWS/GCP) and Kubernetes.

  • Enjoy career growth and leadership opportunities in ML platform engineering.

  • Be part of a multi great place to work award-winning company.

  • Influence the daily experiences of millions of customers, riders, and restaurant partners.

  • Work in a culturally diverse and inclusive environment across the MENA region.


πŸ”Ή Candidate Eligibility Criteria

  • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).

  • 5+ years in ML platform engineering, ML infrastructure, or related roles.

  • 2+ years in a tech lead role managing ML or generative AI projects.

  • Expert in Python and ML frameworks such as TensorFlow and PyTorch.

  • Hands-on experience with MLOps, CI/CD, Docker, Kubernetes, and model registries.

  • Familiarity with cloud platforms (AWS/GCP) and serverless architectures.

  • Knowledge of generative AI technologies, including transformers, embeddings, vector databases, and RAG.

  • Strong strategic thinking and problem-solving skills.

  • Excellent collaboration, communication, and technical decision-making abilities.


πŸ”Ή How to Apply

Applying for the talabat Staff Engineer – ML Platform Dubai, UAE vacancy is straightforward:

  • Review the responsibilities and ensure your experience aligns with ML platform engineering and generative AI requirements.

  • Prepare a detailed resume showcasing expertise in Python, ML frameworks, MLOps, and cloud infrastructure.

  • Submit your application via the official talabat careers page to secure your opportunity.

Apply here.

Candidates should be prepared for a technical interview covering ML infrastructure, coding skills, cloud deployments, and genAI workflows. This role is ideal for those seeking to influence innovative ML systems while contributing to one of the leading on-demand delivery platforms in the MENA region.


πŸ”Ή Frequently Asked Questions (FAQs)

Q1: Where is the primary location for this role?
A1: Dubai, United Arab Emirates.

Q2: What is the employment type?
A2: Full-time, On-Site.

Q3: Which technologies are essential for this role?
A3: Python, TensorFlow, PyTorch, MLflow, Kubeflow, Docker, Kubernetes, AWS/GCP, transformers, embeddings, RAG systems.

Q4: What is the minimum experience required?
A4: 5+ years in ML platform engineering and 2+ years in a tech lead role.

Q5: Does this role include generative AI responsibilities?
A5: Yes, including transformers, embeddings, vector databases, and RAG workflows.

Q6: Is prior cloud experience necessary?
A6: Yes, experience with AWS or GCP, Kubernetes, and serverless architectures is required.

Q7: How can I apply for the vacancy?
A7: Apply through the official careers link: Apply here.

Q8: Is immediate hiring available?
A8: Yes, applicants should apply immediately or before October 29, 2025.

Q9: Are leadership responsibilities included?
A9: Yes, 2+ years in a tech lead role is required, with strategic decision-making responsibilities.


πŸ”Ή Final Thoughts

The talabat Staff Engineer – ML Platform Dubai, UAE position is an excellent opportunity for professionals looking to advance their career in ML platform engineering and generative AI. Candidates will gain hands-on experience in building robust ML infrastructure, deploying real-time inference pipelines, and integrating advanced genAI technologies. With a focus on scalability, reliability, and operational excellence, this role is ideal for strategic thinkers who enjoy solving complex technical challenges.

Joining talabat allows engineers to contribute directly to a platform impacting millions of customers and partners across the MENA region. The position combines innovation, leadership, and practical engineering, offering a unique chance to shape the future of ML platforms in one of the region’s leading on-demand delivery services. With a collaborative environment, career growth opportunities, and a culture of innovation, talabat Staff Engineer – ML Platform Dubai, UAE is a must-apply role for experienced ML professionals in 2025.

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