Generative AI Engineer

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 Overview

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.

Key Responsibilities

• 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.
• Productionize ML systems using MLOps best practices (CI/CD, automation, observability)
• 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

Required Skills

• 7+ years in AI / ML, GenAI, Agentic AI, Data roles

Strong expertise in:

• Python (must-have) + ML frameworks (PyTorch / TensorFlow / Scikit-learn)
• Databricks + Apache Spark
• Azure ecosystem (ADF, ADLS, Synapse, Azure ML)
• Strong grounding in:
• Distributed systems
• Model deployment & production-grade ML 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.