What Jobs are available for AI Engineer in Qatar?

Key Responsibilities:

• Collect, clean, and preprocess large and complex datasets from multiple sources.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
• Build and validate predictive and prescriptive models using statistical and machine learning techniques.
• Visualize and communicate insights through dashboards, reports, and presentations.
• Design, train, and deploy machine learning and deep learning models.
• Collaborate with software engineers and data engineers to integrate AI models into products or systems.
• Continuously evaluate and improve model accuracy, performance, and reliability.
• Stay updated with the latest AI, data science, and related technologies developments.
• Experiment with new tools, frameworks, and techniques to improve workflow efficiency.

Qualifications and Skills:

Education:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Technical Skills:

• Proficiency in Python
• Experience with SQL and NoSQL databases.
• Strong knowledge of machine learning algorithms, deep learning architectures, and data preprocessing techniques.
• Experience with data visualization tools (Power BI, Tableau, Plotly, etc.).

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in cross-functional teams.
• Attention to detail and commitment to quality.

Preferred Experience:

• 4 years of experience in data science, AI engineering, or applied machine learning roles.
• Experience in a specific domain (Construction) is a plus.
• Ready to start immediately

Job Type: Full-time

Nair Systems is currently looking for Azure AI Engineer for Qatar

Skill Set:

Should have experience in Databricks, AI foundry, machine learning, AI speech, Cosmos DB, API management, OpenAI integration, Azure Kubernetes service.

Should have experience in Infrastructure Security and the candidate should have past experience on Infrastructure Support

should be Azure AI Certified

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest

Nair Systems is currently looking Azure AI Engineer for our Qatar operations with the following terms & conditions.

Certification Requirement:

· Must be Microsoft Certified: Azure AI Engineer Associate

Experience Requirement:

· Prior experience in Infrastructure Support with a strong focus on Infrastructure Security

· Hands-on experience working with infrastructure channels

Required Skills & Expertise:

· Azure AI Engineering

· Databricks

· Azure AI Foundry

· Machine Learning

· AI Speech Services

· Cosmos DB

· API Management

· OpenAI Integration

· Azure Kubernetes Service (AKS)

Joining time frame: Maximum 30 days

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest

Nair Systems is currently looking for AI Azure Engineer for Qatar

Skill Set:

Should have experience in Infrastructure Security and the candidate should have past experience on Infrastructure Support

should be Azure AI Certified

Required Skills & Expertise:

·   Azure AI Engineering

·   Databricks

·   Azure AI Foundry

·   Machine Learning

·   AI Speech Services

·   Cosmos DB

·   API Management

·   OpenAI Integration

·   Azure Kubernetes Service (AKS)

Should you be interested please send resume

We're looking for an experienced
AI Business Engineer
to play a pivotal role in shaping innovative solutions using generative AI technologies for a major client in the financial services and banking domain.

As a Senior AI Business Engineer, you will act as a strategic bridge between business stakeholders, technical teams and generative AI technologies. By leveraging your expertise in business analysis, financial services and AI-driven solutions, you will identify opportunities, design tailored AI workflows and deliver impactful solutions that address complex business challenges. Your work will directly contribute to innovation and transformation within the banking and financial services sector.

If you are a senior professional with a strong background in business analysis, an understanding of financial services and hands-on expertise in AI, we'd love to hear from you

Responsibilities

• Partner with business leaders and cross-functional teams to understand and analyze key business objectives, challenges and requirements
• Identify opportunities for leveraging generative AI solutions (e.g. LLMs, GPT-based tools) to optimize business operations and solve pain points in financial and banking contexts (e.g. customer service, fraud detection, personalization, compliance)
• Develop detailed requirements, use cases and process flows to translate business needs into actionable AI solution designs
• Act as a trusted advisor to both clients and internal teams, providing thought leadership and strategic guidance on how to apply AI in financial services
• Collaborate with data scientists, developers and architects to ensure AI-based solutions are delivered on time, align with business goals and comply with regulatory standards in financial services
• Drive organizational adoption of generative AI technologies by leading change management initiatives, designing training materials and ensuring seamless implementation in day-to-day operations
• Establish KPIs and track the impact of AI-driven solutions on client business outcomes
• Continuously refine solutions based on stakeholder feedback

Requirements

• Bachelor's degree in computer science, software development or a related field
• 8+ years of experience in business analysis, solution development or consulting for IT or financial services
• Strong domain knowledge of banking and financial services processes, challenges and regulatory environments
• Proven experience delivering AI-based solutions, particularly focused on generative AI (e.g. LLMs, GPT-based applications)
• Ability to translate business needs into actionable technology solutions and collaborate effectively with technical teams
• Deep understanding of AI opportunities and challenges in financial services such as compliance, risk mitigation and operational efficiency
• Familiarity with AI tools, platforms, and approaches (e.g. OpenAI, Hugging Face, AWS AI/ML etc.)
• Strong communication and stakeholder management skills with a proven ability to influence senior business leaders

Nice to have

• Experience in agile methodologies and project management frameworks
• Certifications such as CBAP (Certified Business Analysis Professional), PMP or AI/ML-related qualifications
• Hands-on experience with data modeling, process reengineering or advanced analytics in financial environments

We offer

• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• *All benefits and perks are subject to certain eligibility requirements

As a
Senior AI QA Engineer
, you will play a pivotal role in defining and executing comprehensive testing strategies for generative AI and machine learning solutions for our banking client. You will lead the quality assurance process, ensuring that the client's AI systems are robust, secure and aligned with industry regulations. Your expertise will directly contribute to transforming financial services with reliable AI technologies. We offer a hybrid work model with a mix of remote and on-site work at our client's office in Lusail.

Responsibilities

• Design and implement test plans and methodologies tailored for AI and ML solutions, including generative AI technologies
• Validate data pipelines and assess AI model outputs for accuracy, reliability and performance
• Develop and optimize automated test frameworks for scalable, repeatable QA processes
• Execute functional, performance, regression and compliance testing in adherence to financial industry standards
• Collaborate effectively with developers, data scientists, QA specialists and business stakeholders to identify and resolve issues promptly
• Ensure solutions meet regulatory compliance requirements such as GDPR and other financial regulations

Requirements

• Bachelor's or Master's degree in Computer Science or in a related field
• 7+ years of software QA experience, with at least 2 years dedicated to testing AI/ML systems, particularly generative AI models (e.g., GPT, LLMs)
• Proficiency with automated testing tools such as Selenium or AI-specific QA frameworks
• Solid understanding of SDLC, QA best practices and compliance standards
• Familiarity with data protection laws and financial compliance regulations (e.g., GDPR)
• Strong communication and problem-solving skills, with the ability to work seamlessly in cross-functional teams

We offer

• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• *All benefits and perks are subject to certain eligibility requirements

Job Description

We are currently looking AI Azure Engineer Certified for our Qatar operations with the following terms & conditions.

Experience

Azure AI engineer, with Databricks, AI foundry, machine learning, AI speech, Cosmos DB, API management, OpenAI integration. Azure kubernetes service.

Joining time frame: 2 weeks (maximum 1 month)

Doha, Ad Dawḩah, Qatar

Date posted

Oct 10, 2025

Job number

Work site

Fully on-site

Travel

None

Role type

Individual Contributor

Profession

Technology Sales

Discipline

Solution Engineering

Employment type

Full-Time

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Data Platform for Enterprise customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.

Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.

As an Data Platform Solution Engineer, you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.

As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications (RQs):

• 5+ years technical pre-sales or technical consulting experience
• OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
• OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
• OR equivalent experience
• Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
• Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Preferred Qualifications (PQs):

• 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
• OR equivalent experience
• 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
• Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.

• Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
• Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft's cloud platforms.
• Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
• Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
• Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
• Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
• Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.



Industry leading healthcare



Educational resources



Discounts on products and services



Savings and investments



Maternity and paternity leave



Generous time away



Giving programs



Opportunities to network and connect

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job title

Manager Data Science | Revenue Management

Ref #

Location

Qatar - Doha

Job family

Corporate & Commercial

• Closing date: 30-Sep-2025

About the role

Welcome to a world where ambition propels success

We are pleased to announce an exciting opportunity to be part of our Revenue Management Team as a Manager Data Science in Doha

In this role, you will play a significant part in leading a team of skilled data scientists, developing advanced analytical models, and ensuring the effective utilization of data-driven insights to enhance our revenue management practices. You will harness the power of data to drive strategic decisions and optimize revenue performance.

You will collaborate closely with various stakeholders, including commercial, pricing, finance, and operations teams, to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.

Specific responsibilities include:

• Responsible in shaping our data science strategy, staying abreast of industry trends, and continuously improving our analytical capabilities
• Develop predictive models, pricing algorithms, and demand forecasting tools that will enable RM Managers to make informed decisions and stay competitive in the dynamic airline industry.
• Collaborate with business and technology partners across various departments to deploy AI & ML-powered solutions, aiming to drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques
• Collaborate with cross-functional teams to define problem statements, hypotheses, and success metric
• Utilize advanced analytical techniques (e.g., machine learning, statistical modelling) to analyze complex datasets, identify trends, and develop predictive models.
• Work with data engineering teams to deploy and maintain data science models in a production environment ,ensuring their accuracy and effectiveness.
• Manage data science projects ,fostering relationships with stakeholders, and ensure the effective deployment of AI and machine learning models.
• Oversee the design, development and deployment of data science projects, ensuring they align with business objectives and timelines
• Build and maintain strong relationships with stakeholders across different departments(e.g. Corporate Planning,B2C,IT,Finance) to understand their needs and ensure the effective integration of data-driven solutions.
• Coach and mentor team members for their development and successful project delivery
• Lead and manage a team of Data Scientists to deliver high-quality, production-scale ML models with measurable business impact across multiple business/product verticals.

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You'll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what's never been done before.

Together, everything is possible.

About you

The successful candidate will have the following skills and qualifications:

• Bachelor's degree or equivalent ( Example: Mathematics and Statistics, Computer Science or Engineering or any related field) with minimum of 8 years job -related experience.
• Expertise in statistical analysis, machine learning, data engineering, operations research, forecasting and optimization methods
• Strong background in statistical analysis, optimization techniques, and predictive modeling. Well-versed in AI and ML methodologies.
• Experience in handling large datasets, using data mining tools, and developing algorithms is preferred.
• Excellent programming skills in languages such as Python, R, or SQL.
• Good understanding of Airline business process, including Network planning, scheduling, Marketing, Sales, Digital (Customer behavior)
• Excellent leadership skills, communication and negotiation skills.
• Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders
• Ability to work collaboratively with cross-functional teams.
• Strong command of English language

About Qatar Airways Group

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before.

So, whether you're creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.

About Qatar Airways Group

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before.

So whether you're creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.