Data and AI Specialist

Malomatia; Doha; On-site; QAR 240,000 - 360,000; Full time

Job summary

Malomatia in Doha, Qatar, seeks a senior data engineering and ML specialist to lead scalable AI initiatives across multi-cloud environments. You will design data pipelines (Azure) and governance frameworks, mentor teams, and align AI projects with business goals. Fluent English required; Arabic beneficial.

Responsibilities include deploying models on Azure ML, integrating with Synapse, ensuring governance, and driving ethical AI practices across the organization.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, or related field.
• Master's degree in AI, Business Analytics, or Information Systems preferred.

Responsibilities

• Design, build, and manage data pipelines and analytics platforms using Azure Data Factory, Synapse Analytics, and Data Lake.
• Develop, train, and deploy ML/AI models on Azure ML and integrate with other cloud platforms.
• Implement data governance, security, and compliance controls across multi-cloud environments.
• Contribute to and support the organization’s AI and data strategy, aligning with digital transformation.
• Ensure multi-cloud interoperability and migrate AI workloads across Azure, Google Cloud, and AWS.
• Conduct data analysis, reporting, and visualization using Power BI, Tableau, or equivalents.
• Evaluate and adopt emerging AI/ML services from multiple cloud providers.
• Document and enforce AI governance frameworks, policies, and ethical guidelines.
• Collaborate with IT, governance bodies, and stakeholders to identify AI use cases delivering business value.
• Provide technical mentorship, training, and awareness sessions on AI and data tools.

Skills

Data engineering

Machine learning

Cloud platforms

Azure

Governance & policy

Data governance

Python

SQL

Data visualization

Multi-cloud

Education

Bachelor's degree in CS/Data Science/AI

Master's degree in AI/Business Analytics/IS

Tools

Azure Data Factory

Azure Synapse Analytics

Azure ML

Power BI

Tableau

Azure Data Lake

Python

SQL

Job description

Job Description

Deep technical expertise in data engineering, machine learning, and cloud AI services with strong governance and policy awareness, ensuring scalable, secure, and ethical use of AI in alignment with organizational goals.

Deep technical expertise in data engineering, machine learning, and cloud AI services with strong governance and policy awareness, ensuring scalable, secure, and ethical use of AI in alignment with organizational goals.

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.

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.