Generative AI Engineer

Atain

Atain

Generative AI Engineer

Atain
Abu Dhabi Emirate, United Arab Emirates Full-timeFirst posted: 23 Sep 2026Last updated: 23 Sep 2026
IT Services and IT Consulting, Software Development, and Technology, Information and Media
Job Description

Sr. AI Engineer - (Airline Domain)📌 Role: Senior GenAI/Agentic AI Engineer📍 Location: Abu Dhabi (Onsite)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.🌟 Role OverviewWe 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.🧠 Key ResponsibilitiesBuild and deploy end-to-end ML pipelines on Databricks (training → deployment → monitoring)Design, develop, and deploy machine learning and AI models on Azure Databricks.Productionize ML systems using MLOps best practices (CI/CD, automation, observability)Design scalable architectures using Azure ML, ADLS, Synapse, and Databricks LakehouseWork with large-scale datasets using Apache Spark (batch + real-time)Develop robust feature engineering and model serving pipelinesCollaborate cross-functionally to translate business problems into scalable AI solutions⚙️ Required Skills7+ years in AI / ML, GenAI, Agentic AI, Data rolesStrong expertise in: Python (must-have) + ML frameworks (PyTorch / TensorFlow / Scikit-learn)Databricks + Apache SparkAzure ecosystem (ADF, ADLS, Synapse, Azure ML)Strong grounding in:Distributed systemsModel deployment & production-grade ML systemsSoftware 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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