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. Show more Show less