AI/ML Ops Engineer – Generative AI Job In Dubai

Job description

In this critical hands-on role, you will be responsible for designing, building, deploying, and maintaining the infrastructure and processes required to operationalise the Generative AI initiatives.

You will focus specifically on the unique MLOps challenges presented by LLMs, RAG systems, and other NLP models.

Client Details

A respected and growing organisation at the forefront of leveraging data and artificial intelligence, committed to building robust, scalable, and impactful AI solutions.

Description
• Design, build, and maintain scalable MLOps pipelines (CI/CD) for training, fine-tuning, evaluating, deploying, and monitoring Generative AI, LLM, NLP, and RAG models.
• Manage and optimise the infrastructure (cloud-based, potentially hybrid) required for hosting large models, including GPU resource management and specialised serving frameworks.
• Implement and manage deployment strategies suitable for large and complex AI models.
• Operationalise and manage components specific to RAG systems, such as vector databases, embedding pipelines, and knowledge base update workflows

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• Automate workflows for data ingestio, embedding generation Ai, and indexing required for RAG and other NLP tasks.
• Implement robust practices for model versioning, prompt versioning, experiment tracking, artifact management, and reproducibility within the Gen AI context.

Job Offer

The opportunity to play a pivotal role in shaping a AI forward, data-driven culture in a dynamic and data ready work environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 3-5+ years as an MLOps Engineer with a strong focus on operationalising machine learning models. Demonstrable experience in designing, building, and maintaining CI/CD pipelines for ML models.

• Strong programming skills, particularly in Python, and familiarity with ML libraries/frameworks (e.g., PyTorch, TensorFlow, etc

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