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AI Engineer

Job in Abu Dhabi, UAE/Dubai
Listing for: First Point Group
Full Time position
Listed on 2026-07-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 250000 - 450000 AED Yearly AED 250000.00 450000.00 YEAR
Job Description & How to Apply Below
  • Our client is a rapidly growing AI technology company headquartered in Abu Dhabi
    , specializing in Enterprise AI
    , Generative AI
    , and Large Language Model (LLM) solutions.
  • Working closely with government organizations and leading enterprises across the Middle East, the company develops secure, scalable, and sovereign AI capabilities, with a strong emphasis on multilingual and Arabic-language AI applications
    .
Responsibilities
  • Design and execute LLM fine-tuning and post-training workflows using SFT
    , LoRA
    , QLoRA
    , DPO
    , and RLHF
  • Build and improve high-quality training datasets, including data preparation
    , annotation standards
    , synthetic data generation
    , and quality assurance
  • Develop robust model evaluation frameworks using automated benchmarks and human‑in‑the‑loop assessment methods
  • Enhance model performance through distributed training
    , quantization
    , and inference optimization
  • Deploy customized LLM solutions in private‑cloud
    , on‑premise
    , and security‑sensitive environments
  • Partner with product, solutions, and engineering teams to deliver enterprise AI use cases
  • Evaluate emerging foundation models and recommend optimal architectures for business requirements
  • Contribute to MLOps best practices
    , experiment tracking, and reproducible training pipelines
Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • 3+ years of Machine Learning Engineering experience with hands‑on exposure to LLM training
    , fine‑tuning
    , or model optimization
  • Strong proficiency in Python
    , Py Torch , and the Hugging Face ecosystem
  • Practical experience with LoRA
    , QLoRA
    , PEFT
    , DPO
    , RLHF
    , ORPO
    , or similar techniques
  • Solid understanding of Transformer architectures
    , tokenization
    , context management
    , and LLM inference
  • Experience training models on multi‑GPU infrastructure using frameworks such as Deep Speed or FSDP
  • Strong analytical skills with experience measuring and improving model quality
  • Excellent communication skills in English
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