Full-Stack AI Engineer & Senior Data Scientist – Data Quality, Pipelines & Process Automation Expert
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Key skills for this role
Role Overview
The announcement covers three specialist roles: Senior Full-Stack AI Engineer, Senior Data Scientist for data quality and pipelines, and Process Automation Expert for M365 and Azure.
The stated contract duration is 4-6 months.
Compensation is based on experience.
Key Skills for This Role
Full Job Posting
Posting overview
The announcement covers three specialist roles: Senior Full-Stack AI Engineer, Senior Data Scientist for data quality and pipelines, and Process Automation Expert for M365 and Azure.
The stated contract duration is 4-6 months.
Compensation is based on experience.
Location and visa information
- The posting identifies Dubai, UAE as the job location.
- UAE-based candidates are requested for the roles.
- A valid UAE visa, including Golden, spouse, or self-sponsored visa, is preferred.
Senior Full-Stack AI Engineer
- Design, develop, and operate production-grade AI solutions and agentic workflows.
- Build end-to-end AI applications using Python, FastAPI, React, PostgreSQL, and Azure OpenAI.
- Integrate SAP, Microsoft 365, and external data sources.
- Manage, troubleshoot, monitor, and optimize production AI systems.
AI engineering requirements
- 7+ years of full-stack development experience with a strong AI/ML focus.
- Hands-on expertise in Python, FastAPI, React, PostgreSQL, and Azure OpenAI.
- Strong understanding of agentic AI, LLMs, tool calling, and workflow orchestration.
- Experience developing and operating production AI systems.
- Strong debugging, monitoring, optimization, and problem-solving skills.
- Experience integrating SAP, Microsoft 365, and external APIs.
Data science responsibilities
- Build and manage reliable data pipelines and analytics solutions for business decision-making.
- Integrate SAP and Microsoft 365 data using Python, SQL, and Azure Data Factory.
- Implement data quality, validation, monitoring, reconciliation, and governance practices.
- Generate accurate, traceable, and actionable business insights.
Data science requirements
- 7+ years of data science or data engineering experience focused on data quality and pipelines.
- Strong expertise in Python, SQL, and Azure Data Factory.
- Hands-on experience with SAP and Microsoft 365 data integrations.
- Understanding of ETL or ELT, data validation, reconciliation, monitoring, and data governance.
- Experience with statistical analysis, forecasting, and machine learning.
- Strong analytical and problem-solving skills.
Process automation responsibilities
- Transform manual finance, HR, and procurement processes into scalable, AI-driven workflows.
- Design workflows, approvals, integrations, and automated business processes.
- Work with business stakeholders to optimize processes and support enterprise AI adoption.
Process automation requirements
- 5+ years of process automation experience using Microsoft 365 and Azure.
- Strong expertise in Power Automate, SharePoint Online, Azure Logic Apps, and Azure Functions.
- Hands-on experience with Microsoft Graph and Copilot Studio.
- Knowledge of M365 Copilot, ChatGPT Enterprise, and enterprise AI tools.
- Ability to translate business requirements into automated solutions.
- Excellent communication and stakeholder-management skills.
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