
Damac
Engineer - Artificial Intelligence
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
Report job as expired
Job expiry date: 07/07/2025
Job overview
Date posted
23/05/2025
Location
Dubai, United Arab Emirates
Salary
AED Undisclosed per month
Experience
5 - 10 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
07/07/2025
Job description
This role requires a hands-on AI Engineer proficient in cloud-based machine learning and data platforms, with a strong focus on the Microsoft Azure ecosystem. The ideal candidate will possess solid experience in machine learning model development and deployment, advanced statistical modeling, and the operationalization of AI use cases in production environments. A robust understanding of Azure services such as Azure Data Factory, Databricks, AzureML, and Synapse is critical. The engineer will be responsible for end-to-end AI pipeline implementationāfrom data ingestion and processing to model training, validation, and deployment. Expertise in Python-based ML development is expected, along with familiarity in other platforms like AWS SageMaker. A successful candidate will have demonstrable experience building scalable, data-driven AI solutions that are integrated into business workflows.
Required skills
Key responsibilities
- Design and develop scalable AI and ML solutions using Azure stack including ADF, Databricks, AzureML, and Synapse
- Implement and maintain database architecture optimized for big data and machine learning
- Develop and deploy machine learning models using Python
- Apply advanced statistical and machine learning techniques to real-world datasets
- Operationalize AI business use cases from prototype to production
- Utilize tools such as AWS SageMaker, Databricks, or equivalent platforms for model training and deployment
- Ensure integration of AI solutions within existing business systems and workflows
- Monitor and evaluate AI models for performance and improvement opportunities
Experience & skills
- Strong expertise in database architecture, cloud computing, and big data technologies
- Deep experience with Microsoft Azure tools such as ADF, Databricks, AzureML, and Synapse
- Proficiency in Python and machine learning libraries
- Solid understanding of ML algorithms and advanced statistical methods
- Hands-on experience in AI model deployment and lifecycle management
- Familiarity with machine learning platforms such as AWS SageMaker or equivalents
- Proven success implementing AI use cases in real-world environments
- Bachelorās degree in Computer Science, Engineering, or related field