About this opening
Exclusive Talent Management is hiring a Senior MLOps Engineer in Abu Dhabi, on a contract basis, to take advanced AI models into secure production and keep them running there. The work covers the full operational life of machine learning systems, from containerising models and serving them on-premise to monitoring them for drift once they are live.
What the role involves
- Containerise ML models with Docker and deploy them on Kubernetes into secure, on-premise inference environments
- Serve LLM pipelines and predictive models in production, and optimise inference latency and resource use
- Build automated training and inference pipelines, with experiment tracking, model versioning and artefact management
- Automate the build, test and release of models and pipelines from development into production
- Put production monitoring in place for model drift and performance, with feedback loops and automated retraining
- Support data pipelines for structured and unstructured data feeding the models
Requirements noted by the source board
- Expert proficiency with MLOps tools and practices, including Docker, Kubernetes, Kubeflow or MLflow, and experiment tracking
- Strong Python, with working knowledge of PyTorch, TensorFlow or Scikit-learn enough to package, deploy and troubleshoot models
- Experience deploying transformer-based models and frameworks such as Hugging Face or LangChain in production
- 5+ years in MLOps, ML engineering or ML platform roles, with models operated in production (as listed on the board)
- Experience deploying into on-premise or restricted environments with strict security requirements
Not stated by the source: the contract length — the source listing lists this opening as a contract role without stating its length, so confirm the length and the full package on the source listing before you apply.
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