About the Job:
As the leading delivery platform in the region, Talabat has a unique responsibility to positively impact millions of customers, restaurant partners, and riders. The MLOps Platform Engineer will design, build, and enhance infrastructure and tooling to scale machine learning capabilities, including cutting-edge Generative AI (genAI) initiatives. This role involves close collaboration with data scientists, ML engineers, genAI specialists, and product teams to ensure operational excellence across ML and genAI systems.
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Company Description:
Since launching in Kuwait in 2004, Talabat has become the leading on-demand food and Q-commerce app for everyday deliveries, offering convenience and reliability to its customers. With a strong local presence in eight countries, Talabat leverages innovative technology to simplify everyday life for customers, optimize operations for restaurants and local shops, and provide riders with reliable earning opportunities.
Responsibilities:
- Design, build, and maintain scalable and reliable ML platforms and tooling that support the entire ML lifecycle, from data ingestion to model deployment.
- Develop standardized ML workflows and templates to enable rapid experimentation and deployment cycles.
- Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking for reproducibility and governance.
- Collaborate with genAI experts to integrate genAI technologies and optimize their use in production environments.
- Automate and streamline ML and genAI model training, ensuring consistency and reliability in deployment workflows.
- Ensure reliability and scalability of production workloads through comprehensive monitoring and continuous performance evaluation.
- Drive infrastructure optimization for generative AI applications, including efficient inference techniques.
- Partner with cross-functional teams to align ML initiatives with broader company goals and innovation strategies.
- Contribute to internal documentation, onboarding, and training programs.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree is a plus.
- 2+ years in a tech lead role, with a minimum of 5 years of experience in ML platform engineering or closely related fields.
- Strong software engineering background with expertise in machine learning infrastructure.
- Proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch) and infrastructure tools (MLflow, Kubeflow).
- Experience with cloud infrastructure, ideally AWS or GCP, and managing ML services.
- Proven experience with generative AI technologies and designing real-time inference pipelines.
- Strong communication and collaboration skills, with a strategic mindset and problem-solving abilities.
