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Principal Machine Learning Engineer

Listing for: Reqiva
Full Time position Listed on 2026-11-05
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 300000 - 420000 AED Yearly AED 300000.00 420000.00 YEAR

Job Description & How to Apply Below

Principal Machine Learning Engineer

Location: Abu Dhabi, UAE
Salary: Based on experience
Working Arrangement: Onsite
Employment Type: Contract

The Opportunity

We are seeking an experienced Principal Machine Learning Engineer to lead the development and deployment of enterprise-scale AI and machine learning solutions in Abu Dhabi.

This senior technical role requires strong expertise in Python, Azure Machine Learning, MLOps and modern ML frameworks
, with a focus on building scalable, production-grade AI systems.

Key Responsibilities
  • Design and develop scalable machine learning architectures and pipelines.
  • Lead the development of predictive, Generative AI and agentic AI solutions.
  • Build and optimise model training and inference platforms.
  • Establish MLOps practices, automation frameworks and CI/CD pipelines.
  • Ensure effective model monitoring, governance and explainability.
  • Collaborate with Data Scientists, Architects and engineering teams.
  • Provide technical leadership and mentorship to ML Engineers.
Required Experience
  • 10+ years of software engineering and machine learning experience.
  • 5+ years delivering production AI/ML solutions.
  • Strong programming experience with Python
    .
  • Hands-on experience with PyTorch, Tensor Flow and Scikit-learn
    .
  • Experience with Azure Machine Learning, Databricks and Apache Spark
    .
  • Strong knowledge of Kubernetes, Docker and CI/CD
    .
  • Experience implementing MLOps frameworks and production ML pipelines.
  • Strong understanding of scalable ML architectures and model deployment.
Desirable Experience
  • Previous experience within financial services or regulated environments.
  • Experience developing and deploying Generative AI and agentic AI solutions.
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