Engineer II - MLOps, GenAI

As the leading delivery platform in the region, we have a unique responsibility and opportunity to positively impact millions of customers, restaurant partners, and riders. To achieve our mission, we must scale and continuously evolve our machine learning capabilities, including cutting-edge Generative AI (genAI) initiatives. This demands robust, efficient, and scalable ML platforms that empower our teams to rapidly develop, deploy, and operate intelligent systems.
As an ML Platform Engineer, your mission is to design, build, and enhance the infrastructure and tooling that accelerates the development, deployment, and monitoring of traditional ML and genAI models at scale. You’ll collaborate closely with data scientists, ML engineers, genAI specialists, and product teams to deliver seamless ML workflows—from experimentation to production serving—ensuring operational excellence across our ML and genAI systems.

Location
Dubai, UAE

Job Type
Full-time

Job Category
Data & Analytics

Remote Working
On-Site

Responsibilities

• Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling supporting the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models.
• Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles.
• Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI.
• Collaborate with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases, and real-time retrieval-augmented generation (RAG) systems.
• Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices.
• Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation.
• Integrate infrastructure components such as real-time model serving frameworks, Kubernetes orchestration, and cloud solutions for robust production environments.
• Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques, fine-tuning, prompt management, and model updates at scale.
• Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap.
• Contribute to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement.

Requirements

• Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads.
• Expert-level proficiency in Python and familiarity with ML frameworks, infrastructure tooling, and popular APIs.
• Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools.
• Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters and managed ML services.
• Proven experience with generative AI technologies and real-time inference pipelines.
• Familiarity with SQL and data warehouse modeling; capable of managing complex data queries, joins, aggregations, and transformations.
• Solid understanding of ML monitoring, including identifying model drift, decay, and cost management.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree is a plus.
• 3+ years of experience in ML platform engineering, ML infrastructure, or generative AI.
• Proven track record of successfully building and operating ML infrastructure at scale.
• Strategic mindset with strong problem-solving skills and effective technical decision-making abilities.
• Excellent communication and collaboration skills, comfortable working cross-functionally across diverse teams and stakeholders.
• Strong sense of ownership, accountability, and proactive bias for action.

Who We Are
Since launching in Kuwait in 2004, talabat has been delivering convenience and reliability across eight countries. We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants, and provide reliable earning opportunities for our riders. Here at talabat, we are building a high-performance culture through an engaged workforce and growing talent density. Our mission is to spread positive vibes across the region.