Data and AI Specialist
Key Skills for This Role
Full Job Posting
Qualifications
- Bachelor’s degree in computer science, Data Science, AI, or related field (required).
- Master’s degree in AI, Business Analytics, or Information Systems (preferred).
- Certifications
- Azure certifications (Azure AI Engineer Associate, Azure Data Scientist, or Azure Solutions Architect) are highly desirable.
- Multi-cloud or vendor certifications (e.g. Google Cloud Professional ML Engineer, etc.) are a plus.
- Technical Expertise
- Strong hands-on experience with Microsoft Azure AI and Data Services (Azure ML, Synapse, Cognitive Services, Data Factory, Data Lake).
- Familiarity with multi-cloud integration and migration strategies.
- Proficiency in Python, R, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Knowledge of data governance, MLOps, and ethical AI frameworks.
- Experience in data visualization with Power BI, Tableau, or equivalent.
- Strong problem-solving and system integration skills.
- Fluency in English (required); proficiency in Arabic is highly desirable.
- Personal Competencies
- Strategic mindset with the ability to bridge AI innovation and business needs.
- Strong communication skills to engage both technical and non-technical audiences.
- Agile, adaptable, and experienced in multi-cloud and hybrid environments.
- High integrity in managing data, privacy, and ethical considerations.
- Collaborative and proactive in cross-functional teams.
Responsibilities
- Design, build, and manage data pipelines and analytics platforms using Azure Data Factory, Synapse Analytics, and Data Lake.
- Develop, train, and deploy machine learning and AI models on Azure Machine Learning and integrate with other cloud platforms where needed.
- Implement data governance, security, and compliance controls across multi-cloud environments.
- Contribute to and support the organization’s AI and data strategy, ensuring alignment with digital transformation initiatives.
- Ensure multi-cloud interoperability, including the ability to migrate and optimize AI workloads across Azure, Google Cloud, and AWS.
- Conduct data analysis, reporting, and visualization using Power BI, Tableau, or equivalent tools.
- Evaluate and adopt emerging AI/ML services from multiple cloud providers to maximize value.
- Document and enforce AI governance frameworks, policies, and ethical guidelines.
- Collaborate with IT, governance bodies, and business stakeholders to identify AI use cases that deliver tangible business outcomes.
- Provide technical mentorship, training, and awareness sessions on AI and data tools to internal teams.
Preferred Qualifications
- Master’s degree in AI, Business Analytics, or Information Systems (preferred).
- Multi-cloud or vendor certifications (e.g. Google Cloud Professional ML Engineer, etc.) are a plus.
About malomatia
Qatar-based technology services provider driving digital transformation and innovation.
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