Data and AI Specialist
Role Overview
Deep technical expertise in data engineering, machine learning, and cloud AI services supports scalable, secure, and ethical AI use aligned with organizational goals.
Key Skills for This Role
Full Job Posting
Role overview
Deep technical expertise in data engineering, machine learning, and cloud AI services supports scalable, secure, and ethical AI use aligned with organizational goals.
Responsibilities
- Build and manage data pipelines and analytics platforms with Azure Data Factory, Synapse Analytics, and Data Lake.
- Develop, train, and deploy AI/ML models on Azure ML and integrate with other cloud platforms.
- Implement data governance, security, and compliance controls across multi-cloud environments.
- Support AI and data strategy and digital transformation initiatives.
- Enable interoperability and migration or optimization of workloads across Azure, Google Cloud, and AWS.
- Conduct analysis, reporting, and visualization; evaluate emerging cloud AI/ML services.
- Document and enforce AI governance, policy, and ethical guidelines.
- Identify valuable AI use cases with stakeholders and provide internal technical training and mentorship.
Qualifications
- Required: bachelor’s degree in computer science, data science, AI, or related field. A master’s degree in AI, business analytics, or information systems is preferred.
- Strong hands-on Azure AI and data services experience, including Azure ML, Synapse, Cognitive Services, Data Factory, and Data Lake.
- Familiarity with multi-cloud integration and migration strategies.
- Proficiency in Python, R, SQL, and frameworks including TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of data governance, MLOps, and ethical AI frameworks; experience in Power BI, Tableau, or equivalent visualization tools.
- English fluency is required; Arabic proficiency is highly desirable.
- Strong problem-solving, system integration, communication, strategic thinking, adaptability, integrity, and collaboration.
Certifications
- Azure AI Engineer Associate, Azure Data Scientist, or Azure Solutions Architect certifications are highly desirable.
- Multi-cloud or vendor certifications, such as Google Cloud Professional ML Engineer, are a plus.
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