Ooredoo Announces AI and Data Analytics Job Ooredoo Group has announced two career opportunities in Doha, Qatar, for professionals specialising in artificial intelligence, machine learning, enterprise data analytics and process automation.

The openings are for AI Engineer and Analyst – Enterprise Data Analytics & Automation. Both positions involve developing digital solutions, improving business operations and supporting the company’s technology and digital transformation initiatives.

The AI Engineer position is offered on a full-time employment basis, while the Enterprise Data Analytics & Automation Analyst role is listed as a contractor position. Candidates with relevant technical qualifications and practical experience in AI engineering, Microsoft Power Platform, data analytics and software development are encouraged to review the opportunities.

1. AI Engineer – Ooredoo Group

Full-time employment

Position: AI Engineer
Job ID: 677
Division: OG-Services
Company: Ooredoo Group
Location: Doha, Qatar
Contract Type: FTE (Full-time employment)

Ooredoo Group is inviting applications for the position of AI Engineer to support its artificial intelligence and machine learning initiatives across the organisation.

The selected candidate will be responsible for designing, developing and deploying AI models to address business challenges and improve operational efficiency. The role involves working closely with Solution Architects, Data Scientists and Business Analysts to develop AI-powered solutions that can support areas such as personalised marketing, customer value management, customer-service automation and network fault diagnostics.

The successful applicant will also contribute to building and optimising AI pipelines, ensuring that machine learning models are effectively deployed and integrated with existing systems.

Key Responsibilities

The AI Engineer will contribute to the development and implementation of artificial intelligence solutions across Ooredoo Group’s operations.

Major responsibilities include:

• Design, develop and deploy machine learning and AI models to address business requirements.
• Build AI solutions for customer retention, personalised marketing and operational automation.
• Work with Data Engineers to prepare, clean and transform data for AI model training and testing.
• Monitor and optimise AI models operating in production environments.
• Develop and maintain scalable AI pipelines to support deployment across different operating companies.
• Collaborate with Data Scientists, Business Analysts and Solution Architects to align AI solutions with business objectives.
• Identify and implement suitable AI tools, frameworks and technologies to improve development efficiency.
• Work with platforms and frameworks such as TensorFlow, PyTorch and scikit-learn.
• Research emerging developments in artificial intelligence and machine learning.
• Coordinate with MLOps Engineers to ensure reliable model deployment and scalability.
• Follow best practices for model versioning, monitoring and updates.
• Identify and resolve technical problems affecting AI models and pipelines.
• Evaluate external AI vendors and compare their solutions with internally developed technologies.

Education and Experience Requirements

Applicants should have a bachelor’s degree in Computer Science, Engineering or a related field. A master’s degree in Artificial Intelligence, Machine Learning or Data Science will be preferred.

Candidates should also possess:

• At least five years of experience in AI or machine learning engineering roles.
• Hands-on experience in developing and deploying machine learning models.
• Experience in the telecommunications industry, particularly in network planning, optimisation or operations.
• Strong proficiency in Python.
• Practical knowledge of machine learning libraries such as TensorFlow, PyTorch and scikit-learn.
• Experience with cloud-based AI platforms, including AWS, Google Cloud or Azure AI.
• Familiarity with data engineering processes and data pipeline development.
• Knowledge of MLOps tools and techniques for model version control, continuous integration and deployment.
• Understanding of distributed computing and cloud infrastructure.
• Experience with reinforcement learning or advanced machine learning techniques.

Required Skills

The position requires strong technical expertise in machine learning algorithms, deep learning architectures and model optimisation.

Applicants should also demonstrate:

• Ability to build, test, deploy and maintain AI models at scale.
• Experience in data processing, data wrangling and feature engineering.
• Strong troubleshooting and problem-solving abilities.
• Ability to work with cross-functional technology and business teams.
• Excellent collaboration and communication skills.
• Commitment to innovation and continuous professional development.

APPLY NOW

2. Analyst – Enterprise Data Analytics & Automation

Contractor position

Position: Analyst – Enterprise Data Analytics & Automation
Job ID: 657
Division: Group Operational Excellence & Corporate Resilience
Company: Ooredoo Group
Location: Doha, Qatar
Contract Type: Contractor

Ooredoo Group is also recruiting an Analyst – Enterprise Data Analytics & Automation to strengthen its digital delivery and business analytics capabilities.

The position focuses on developing enterprise data analytics solutions, business applications and automated processes that transform organisational data into useful insights for management and decision-making.

The successful candidate will work with Microsoft Power Platform technologies, including Power Apps, Power Automate and Dataverse, alongside Power BI and Microsoft Fabric. The role also involves using artificial intelligence and machine learning to improve business analytics, reporting and process automation.

The company aims to replace manual, fragmented and spreadsheet-based processes with secure, scalable digital solutions that improve data quality, reduce processing time and support faster business decisions.

Key Responsibilities

Application Development and Process Automation

• Design, develop, test and deploy business applications using Microsoft Power Apps and Dataverse.
• Digitise manual business processes across Group functions and operating companies.
• Automate workflows using Power Automate.
• Develop automated approval processes, notifications, reminders, escalation systems and service-level triggers.
• Implement role-based access controls, audit trails and data-retention standards.
• Manage the complete application development lifecycle, from requirement gathering and design to testing, deployment and post-launch improvements.
• Integrate business applications with Power BI to automate management reporting.
• Support information-security assessments and ensure secure access to applications.

Enterprise Data Analytics and Reporting

• Understand business requirements and develop data models to convert raw information into useful insights.
• Create interactive dashboards and visual reports using Power BI.
• Define key performance indicators and monitor business performance.
• Analyse data and prepare reports to support management decisions.
• Translate business requirements into technical specifications.
• Develop, test and deploy Power BI scripts.
• Use DAX queries and functions for advanced data analysis.
• Write SQL queries to retrieve and analyse information.
• Develop charts, reports and supporting data documentation.
• Review and improve existing business intelligence systems.
• Analyse ETL processes and develop data pipelines using Azure Data Factory, Azure SQL, Logic Apps and Function Apps.
• Support migration and optimisation of Power BI systems to Microsoft Fabric.
• Contribute to data governance, KPI standardisation and data-quality initiatives.
• Conduct user acceptance testing and coordinate with business teams.

Artificial Intelligence and Machine Learning

• Use generative AI tools to support dashboard and application development.
• Apply AI and machine learning techniques to business analytics.
• Explore applications such as forecasting, anomaly detection and automated insight generation.
• Ensure that AI-generated outputs are validated, explainable and traceable to their sources.
• Follow the company’s data privacy, security and information-governance policies.
• Monitor developments in AI, data analytics and automation within the telecommunications industry.

Project Delivery and Coordination

• Work directly with business owners to gather requirements and coordinate testing.
• Obtain business approval before launching applications and dashboards.
• Follow company security and data-governance standards.
• Prepare technical documentation and maintain records of data pipelines.
• Provide user support, training materials and demonstrations.
• Submit regular project progress updates and report potential delivery challenges.

Education and Experience Requirements

The vacancy specifies a minimum of five years of experience in Power Platform development.

Candidates should have:

• A bachelor’s or master’s degree in Computer Science or Information Systems Technology.
• Hands-on experience developing and supporting Power Apps and Power Automate solutions in production environments.
• Experience in data preparation and data warehousing projects.
• Practical knowledge of Microsoft Power BI.
• Exposure to Microsoft Fabric and Azure data services.
• Knowledge of Azure Data Factory, Azure SQL and Power Automate.
• At least three years of hands-on software development lifecycle experience using one or more programming languages.
• Knowledge of SQL Server.
• Exposure to AI and machine learning applications in business analytics.

The vacancy also lists a bachelor’s degree in any field and knowledge of relevant software skills, including Microsoft 365, under its qualifications section. Applicants should review the official listing for the complete eligibility requirements.

Required Technical Skills

The company is looking for candidates with strong capabilities in:

• Microsoft Power Apps.
• Power Automate.
• Dataverse.
• Business process automation and digitisation.
• Power BI and data analytics.
• Microsoft Fabric and Azure data services.
• SQL and data pipeline management.
• AI and machine learning for business analytics.
• Data governance, security and privacy.
• Programming and software development.
• Project and programme management.

Additional Skills and Competencies

Applicants should also demonstrate:

• Strong analytical and problem-solving abilities.
• Ability to translate business requirements into digital applications and solutions.
• Good communication skills when working with technical and business teams.
• Strong client and stakeholder-management abilities.
• Ability to manage multiple projects and responsibilities.
• Data storytelling and presentation skills.
• Interest in emerging AI technologies.
• Willingness to learn and adapt to changing business requirements.
• Ability to work independently and collaboratively.
• Commitment to continuous improvement.

APPLY NOW

Summary of Ooredoo Group Vacancies

Position	Location	Contract type	Experience
AI Engineer	Doha, Qatar	Full-time employment	5+ years in AI/ML engineering
Analyst – Enterprise Data Analytics & Automation	Doha, Qatar	Contractor	5+ years in Power Platform development; 3+ years in software development lifecycle

How to Apply

Interested candidates can submit their applications through the official Ooredoo Group careers portal using the respective links provided under each vacancy.

Applicants should carefully review the job descriptions, educational qualifications, experience requirements and technical skills before applying. Candidates are also advised to check the official recruitment pages for the latest vacancy status and any additional application instructions.