Location: Abu Dhabi, UAE – Onsite

Experience: 7+ Years

Maximum Budget: AED 19,000/month

Domain: Airlines / Aviation / Travel – Mandatory

We are looking for a Senior AI / Machine Learning Engineer with strong experience building and deploying production-grade ML systems on Databricks within the Azure ecosystem .

This is a hands-on engineering role requiring expertise in ML engineering, distributed systems, MLOps, Spark, and scalable software engineering — not just model development or ETL.

Mandatory Requirements

• 7+ years of experience in AI/ML, ML Engineering, or Data Engineering
• Hands-on experience in Airlines / Aviation / Travel domain – Mandatory
• Strong hands-on Python
• Strong Databricks + Apache Spark experience
• Experience with Azure stack: Azure ML, ADF, ADLS, and Synapse
• Experience building end-to-end ML pipelines : training, deployment, monitoring, and model serving
• Strong MLOps experience: CI/CD, automation, and observability
• Experience with production-grade ML systems and large-scale datasets
• Strong understanding of distributed systems, system design, testing, and scalability
• Hands-on experience with PyTorch / TensorFlow / Scikit-learn

Preferred

• Kafka / Spark Streaming and real-time processing
• Product company / high-growth startup experience
• Strong academic background

Key Responsibilities

• Design, build, and scale production-grade ML solutions on Azure Databricks
• Develop end-to-end ML pipelines, feature engineering, and model-serving workflows
• Implement MLOps practices for deployment, CI/CD, monitoring, and automation
• Build scalable batch and real-time data processing solutions using Apache Spark
• Design solutions using Azure ML, ADF, ADLS, Synapse, and Databricks Lakehouse
• Translate business requirements into scalable AI/ML solutions

Keywords