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Generative AI Engineer

Job in Abu Dhabi, UAE/Dubai
Listing for: Atain
Full Time position
Listed on 2026-09-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 420000 - 720000 AED Yearly AED 420000.00 720000.00 YEAR
Job Description & How to Apply Below

Exp.: 7+ years.

Note: Looking for immediate joiners or candidates who are currently serving their notice period. It is acceptable to consider candidates from outside of UAE (like India), provided they have a genuine interest in the opportunity and are willing to relocate.

Key Skills - Strong exp. with AI/ML, Gen AI, Agentic AI, LLMs, Azure Databricks, Python, Regression, Azure & Airline Domain exp. is mandatory.

We are seeking a senior AI Engineer (7+ years) to design, build, and scale production-grade machine learning systems on Databricks (Azure stack). This role requires deep engineering rigor
, not just model building—ideal candidates have a strong background in distributed systems and software engineering
.

  • Build and deploy end-to-end ML pipelines on Databricks (training → deployment → monitoring)
  • Design, develop, and deploy machine learning and AI models on Azure Databricks
    .
  • Design scalable architectures using Azure ML, ADLS, Synapse, and Databricks Lakehouse
  • Work with large-scale datasets using Apache Spark (batch + real-time)
  • Develop robust feature engineering and model serving pipelines
  • Collaborate cross-functionally to translate business problems into scalable AI solutions
  • 7+ years in AI / ML, GenAI, Agentic AI, Data roles

Strong expertise in:

  • Python (must-have) + ML frameworks (PyTorch / Tensor Flow / Scikit-learn)
  • Distributed systems
  • Software engineering (system design, testing, scalability)

It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

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