ML Platform Engineer – Generative AI & Machine Learning Infrastructure

Job title: ML Platform Engineer – Generative AI & Machine Learning Infrastructure

Company: Glow Beauty On Demand


Job description: ML Platform Engineer – Generative AI & Machine Learning InfrastructureLocation: Dubai, UAE
Industry: Technology / AI / Food & Q-commerce
Function: Machine Learning Engineering
Salary: 25000-35000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Job Type: Full-timeRole Overview
Talabat, 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

Apply now to join Talabat’s high-performance AI team and help shape the future of generative AI-powered platforms in the on-demand economy.Employers in the region can post similar roles and access free job posting credits to attract top AI talent in the GCC.Job Title ML Platform Engineer – Generative AI & Machine Learning Infrastructure
Job Description ML Platform Engineer – Generative AI & Machine Learning InfrastructureLocation: Dubai, UAE
Industry: Technology / AI / Food & Q-commerce
Function: Machine Learning Engineering
Salary: 25000-35000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Job Type: Full-timeRole Overview
Talabat, 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

Apply now to join Talabat’s high-performance AI team and help shape the future of generative AI-powered platforms in the on-demand economy.Employers in the region can post similar roles and access free job posting credits to attract top AI talent in the GCC.
Post DetailsJob Start Date
Salary from 25000.00
Salary to 35000.00
Number of Vacancies 1
Location –Location City DubaiDesired Candidate’s Profile
Gender No Preference
Nationality
Candidate Current Location

Expected salary:

Location: Dubai

Job date: Sun, 20 Jul 2025 22:24:53 GMT

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