ML Platform Engineer Generative AI & Machine Learning

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## Full Description Job TitleML Platform Engineer Generative AI & Machine Learning InfrastructureJob DescriptionML Platform Engineer Generative AI & Machine Learning Infrastructure Location: Dubai, UAEIndustry: Technology / AI / Food & Q-commerceFunction: Machine Learning EngineeringGender: AnyCandidate Nationality: AnyJob Type: Full-time Role OverviewTalabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users. Key Responsibilities * Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models* Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes* Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate* Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference* Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability* Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals* Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components* Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows Qualifications and Experience * Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred)* Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles* Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain* Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm)* Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis* Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems* Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies What We Offer * Opportunity to work on advanced ML and AI projects impacting millions of users in the Middle East* Competitive salary and benefits package* A collaborative, innovation-driven environment with cutting-edge tools and technologies* Career development in one of the fastest-growing tech ecosystems in the region

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