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Principal AI/ML Engineer at Deeplight in Dubai and Abu Dhabi

Deeplight is hiring a Principal AI/ML Engineer to lead teams and transition banking systems to production in Dubai and Abu Dhabi, with the posting dated 22 September and salary undisclosed.

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Principal AI/ML Engineer at Deeplight in Dubai and Abu Dhabi

Role:Principal AI/ML Engineer at Deeplight, a consulting firm specializing in artificial intelligence and data, with the posting listed on the company's official recruitment page in Dubai and Abu Dhabi. Published on 22 September 2026, the role is on-site, not remote.

Primary challenge:Deeplight works primarily with banks and financial institutions in the UAE, and its mission as described in the posting is to move models from the experimental stage to production platforms with banking standards. The role holder will lead cross-functional teams of AI engineers, data scientists, and data engineers, and will build machine-learning models, retrieval-augmented generation (RAG) systems, and language-agent frameworks on AWS and Azure. But half the job is not technical: they are the primary technical advisor to the client’s senior management, defend their choices before architecture review boards and risk committees, and design security frameworks that include protection against prompt injection and concealment of personal data, in line with central bank guidelines and data-sovereignty laws.

Key requirements:Bachelor’s or master’s degree in mathematics, physics, computer science, or a related quantitative field. Eight years or more in software engineering, machine learning, and AI platform development, with extensive experience leading teams within large tech or consulting firms. Proficiency in PyTorch, TensorFlow, Hugging Face, and LangChain or LlamaIndex, vector databases, Docker and Kubernetes, and cloud MLOps tools such as SageMaker and Azure OpenAI. A proven record of taking systems from experimental notebooks to safe production environments. Experience in financial services or banking is a significant advantage, as is expertise in transaction efficient fine tuning (LoRA and QLoRA) and running open-weight models.

Salary:Not disclosed. The posting mentions a single-person visa sponsorship, health insurance, and support for professional certifications.

Practical step:The posting explicitly states that the ability to explain the technical decision and convince senior management is part of your evaluation. Prepare, before applying, a single example of a system you transferred to production in an organized environment, and explain it in two minutes to a non-technical person: the problem, the architectural decision, the risk you mitigated, and the outcome.

Apply now: https://apply.workable.com/j/D6F34F77A4

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