Principal AI Engineer
Role Overview
Provide technical leadership across enterprise AI initiatives.
Lead design, architecture, and delivery of production-grade AI and machine-learning platforms.
Work with architects, cloud and software engineers, and senior business stakeholders to build scalable, secure, and responsible AI solutions.
The employer is a global technology consulting and digital transformation organisation delivering AI, cloud, and enterprise technology solutions.
Key Skills for This Role
Full Job Posting
Location and work model
- The role is based in Abu Dhabi, UAE.
- Hybrid working is offered.
Compensation
- AED 60,000–70,000 per month, tax free.
Opportunity
Provide technical leadership across enterprise AI initiatives.
Lead design, architecture, and delivery of production-grade AI and machine-learning platforms.
Work with architects, cloud and software engineers, and senior business stakeholders to build scalable, secure, and responsible AI solutions.
The employer is a global technology consulting and digital transformation organisation delivering AI, cloud, and enterprise technology solutions.
Key requirements
- Must come from a consulting environment.
- Extensive experience delivering AI/ML solutions into production.
- Expert Python development.
- Strong experience with PyTorch, TensorFlow, and Scikit-learn.
- Deep understanding of machine learning, deep learning, and generative AI.
- Strong MLOps experience, including CI/CD, model deployment, monitoring, and lifecycle management.
- Cloud experience across Azure, AWS, or GCP.
- Proven technical leadership, mentoring, and architecture ownership.
- Experience building scalable enterprise AI platforms and engineering best practices.
Benefits
- Relocation package worth approximately AED 50,000.
- Comprehensive medical insurance and generous annual leave.
- Career progression within a global technology leader.
Responsibilities
- Provide technical leadership across enterprise AI initiatives.
- Lead the design, architecture, and delivery of production-grade AI and machine-learning platforms.
- Collaborate with architects, cloud engineers, software engineers, and senior business stakeholders.
- Build scalable, secure, and responsible AI solutions.
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