12 AI Consultant jobs in Qatar

About Us:

Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of

About the Role:

The Manager - AI Solutions Onboarding is a customer-facing role responsible for implementing, configuring, and supporting the onboarding of enterprise and government clients onto Ooredoo's GPU-as-a-Service platform. The role ensures seamless activation of GPU environments by handling system configuration, integration with customer workloads, and providing post-onboarding technical assistance.

This role requires hands-on experience with GPU infrastructure, container orchestration, cloud and hybrid deployment models, and customer training/support, working closely with solution architects, delivery teams, and account managers to ensure a smooth onboarding experience and early customer success.

This role sits within the Professional services team and directly contributes to project acquisition and delivery. The Manager leads the technical realization of AI solutions, ensuring architectural consistency, operational scalability, and compliance with local regulatory standards. The role collaborates closely with presales, delivery, and vendor teams to ensure successful execution of complex AI and infrastructure projects. For more details, please click here.

About You:

Technical Expertise:

• Minimum 10 years' work experience
• 7+ years in infrastructure deployment, DevOps, or technical onboarding roles.
• Hands-on experience with GPU compute environments (NVIDIA DGX, cloud GPU VMs, etc.).
• Familiarity with containerization (Docker/Kubernetes) and AI/ML frameworks.
• Strong understanding of networking, storage, and cloud services as related to AI workloads.
• Customer support and troubleshooting experience in technical delivery settings.
• Ability to communicate technical concepts clearly to non-technical stakeholders.

Professional Experience:

• Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).
• Excellent Analytical and Problem-Solving Skills:
• Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution

Strong Communication and Interpersonal Skills:

• Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearly

Minimum Qualifications:

• Bachelor's degree in Computer Science, IT Infrastructure, or related field.
• Certifications in Kubernetes, NVIDIA (DLI), or cloud platforms (Azure, AWS) are preferred.

About the Role:

The Manager – AI Solutions Onboarding is a customer-facing role responsible for implementing, configuring, and supporting the onboarding of enterprise and government clients onto Ooredoo's GPU-as-a-Service platform. The role ensures seamless activation of GPU environments by handling system configuration, integration with customer workloads, and providing post-onboarding technical assistance.

This role requires hands-on experience with GPU infrastructure, container orchestration, cloud and hybrid deployment models, and customer training/support, working closely with solution architects, delivery teams, and account managers to ensure a smooth onboarding experience and early customer success.

Functional Context:

This role sits within the Professional services team and directly contributes to project acquisition and delivery. The Manager leads the technical realization of AI solutions, ensuring architectural consistency, operational scalability, and compliance with local regulatory standards. The role collaborates closely with presales, delivery, and vendor teams to ensure successful execution of complex AI and infrastructure projects.

The Professional Services department is a key pillar in the newly created Business solution division focused on providing solutions to Customers across Networks, Security and Hybrid cloud including the AI Solutions and GPUs. The professional services team is the overall lead in acquisition and delivery of projects.

Key Responsibilities:

• Act as the technical lead for onboarding new enterprise and government clients to the Ooredoo GPUaaS platform.
• Understand the customer requirements for proper onboarding of the AI Solution.
• Deploy, configure, and validate GPU workloads for customer environments (cloud, hybrid, or on-prem).
• Integrate customer AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) with Ooredoo GPU infrastructure.
• Set up and troubleshoot NVIDIA-powered environments (DGX, L40S, A100) and ensure optimal performance.
• Configure container environments (e.g., Docker, Kubernetes) for running AI/ML workloads on GPU nodes.
• Coordinate with storage and networking teams to Configure Storage and networking as per the requirements
• Validate System performance benchmarks during onboarding.
• Ensure proper integration with orchestration tools like Kubeflow, MLflow, or Slurm if used by the customer.
• Conduct validation testing, PoC trials, and GPU workload benchmarking to meet SLAs and customer expectations.
• Implement and verify security controls including user access, RBAC, data encryption, and network isolation.
• Provide technical training and documentation to customer teams on managing and optimizing their GPU environments.
• Capture and escalate technical issues to delivery and support teams as needed, ensuring resolution and transparency.
• Assist with system health checks, monitoring setup, and usage reporting during onboarding.
• Collaborate with architects and sales teams to ensure each onboarding is aligned with the designed solution.
• Maintain customer onboarding checklists, deployment documentation, and handover reports.

Minimum Entry Qualifications:

Bachelor's degree in Computer Science, IT Infrastructure, or related field

Minimum Experience, Essential Knowledge & Skills:

• Minimum 10 years' work experience
• 7+ years in infrastructure deployment, DevOps, or technical onboarding roles.
• Hands-on experience with GPU compute environments (NVIDIA DGX, cloud GPU VMs, etc.).
• Familiarity with containerization (Docker/Kubernetes) and AI/ML frameworks.
• Strong understanding of networking, storage, and cloud services as related to AI workloads.
• Customer support and troubleshooting experience in technical delivery settings.
• Ability to communicate technical concepts clearly to non-technical stakeholders.

Professional Experience:
.

• Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).

Excellent Analytical and Problem-Solving Skills:

Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution

Strong Communication and Interpersonal Skills

• Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearly

About Us:

Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of

About the Business Unit:

The Professional Services department is central to the newly established Business Solutions division, leading customer engagement throughout the entire lifecycle—from initial opportunities through delivery and beyond. With deep technical and consultative expertise, the team excels in designing optimal solutions that leverage OQ's offerings alongside those of partner providers. The primary objective is to enhance OQ's engagement with its large enterprise customer base, positioning the company as a trusted partner in driving digital transformation initiatives.

The team integrates secure connectivity, network and cloud services, managed services, and IT solutions to enhance OQ's share of wallet and visibility in larger market deals. By moving beyond standard offerings into customized services, the Professional Services team supports Business Accounts, enhancing their technical expertise and capability to manage complex acquisitions and deliveries. This ensures clients' needs are met and remain the primary focus of the sales team.

About the Role:

The Senior Manager - Enterprise AI Solutions is a senior, customer-facing role that plays a pivotal part in driving Ooredoo Qatar's AI monetization strategy through the design and promotion of tailored AI solutions for enterprise and government clients. The role is central to advancing Qatar's national digital transformation goals by delivering innovative, scalable, and sector-specific AI use cases that unlock tangible business value.

Reporting to the Assistant Director - AI Solution Architecture, the Senior Manager acts as the technical anchor across the AI solutions lifecycle — from use case ideation and value articulation to architecture design, proposal development, and implementation handover. This role collaborates closely with AI solution architects, sales, and delivery functions to ensure every AI solution is market-relevant, commercially viable, and operationally sustainable.

With a strong focus on revenue generation, commercial impact, and use case monetization, the Senior Manager is expected to identify and shape high-potential AI opportunities that solve real customer problems while creating recurring value streams for Ooredoo. The role requires deep AI domain expertise, strong business acumen, and the ability to align technical possibilities with client-specific objectives. For more details, please click here.

About You:

Technical Expertise:

• Minimum 10 years' of experience with at least 7 years in technical pre-sales, AI consulting, or solution engineering.
• Proven experience in developing and monetizing AI use cases within a B2B or government context.
• Strong familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud platforms (Azure, AWS, GCP), and MLOps tools.

Professional Experience:

• Experience with public sector and regulated environments is highly desirable.
• Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).

Excellent Analytical and Problem-Solving Skills:

• Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution
• Strong Communication and Interpersonal Skills
• Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearly

About the Role:

The Senior Manager – Enterprise AI Solutions is a senior, customer-facing role that plays a pivotal part in driving Ooredoo Qatar's AI monetization strategy through the design and promotion of tailored AI solutions for enterprise and government clients. The role is central to advancing Qatar's national digital transformation goals by delivering innovative, scalable, and sector-specific AI use cases that unlock tangible business value.

Reporting to the Assistant Director – AI Solution Architecture, the Senior Manager acts as the technical anchor across the AI solutions lifecycle — from use case ideation and value articulation to architecture design, proposal development, and implementation handover. This role collaborates closely with AI solution architects, sales, and delivery functions to ensure every AI solution is market-relevant, commercially viable, and operationally sustainable.

With a strong focus on revenue generation, commercial impact, and use case monetization, the Senior Manager is expected to identify and shape high-potential AI opportunities that solve real customer problems while creating recurring value streams for Ooredoo. The role requires deep AI domain expertise, strong business acumen, and the ability to align technical possibilities with client-specific objectives.

Functional Context:

The Professional Services department is central to the newly established Business Solutions division, leading customer engagement throughout the entire lifecycle—from initial opportunities through delivery and beyond. With deep technical and consultative expertise, the team excels in designing optimal solutions that leverage OQ's offerings alongside those of partner providers. The primary objective is to enhance OQ's engagement with its large enterprise customer base, positioning the company as a trusted partner in driving digital transformation initiatives.

The team integrates secure connectivity, network and cloud services, managed services, and IT solutions to enhance OQ's share of wallet and visibility in larger market deals. By moving beyond standard offerings into customized services, the Professional Services team supports Business Accounts, enhancing their technical expertise and capability to manage complex acquisitions and deliveries. This ensures clients' needs are met and remain the primary focus of the sales team.

Key Responsibilities:

• Identify and validate high-impact AI use cases across key sectors such as telecom, healthcare, utilities, government, and smart cities.
• Collaborate with clients, sales teams, product managers and solution architects to co-create tailored AI solutions that address sector-specific pain points.
• Translate business challenges into solution-ready use cases aligned with Ooredoo's AI infrastructure, platforms, and services.
• Maintain a living repository of vertical-specific AI use cases, business cases, and implementation blueprints.
• Lead technical discovery sessions with enterprise clients to understand AI readiness, data maturity, and operational context.
• Support sales during RFP/RFI responses with tailored technical content, use case mappings, and solution narratives.
• Develop and deliver solution presentations, demonstrations, and PoCs to illustrate the value of Ooredoo's AI capabilities.
• Act as a technical bridge between sales, solution architects, and delivery teams during the proposal and handover phases.
• Ensure all AI use cases are tightly coupled with Ooredoo's offerings, including (GPU-accelerated compute for ML/DL workloads, MLOps platforms and managed AI services & Generative AI and LLM services hosted on Ooredoo's infrastructure)
• Provide feedback to product and solution teams to shape future offerings based on market demand and client feedback.
• Contribute to the commercialization strategy by creating solution collateral (e.g., pitch decks, brochures, ROI calculators).
• Track pipeline activity and conversion metrics for AI-led opportunities.
• Monitor AI trends (e.g., GenAI, multimodal AI, AI agents) and evaluate their practical fit for enterprise clients.

Minimum Entry Qualifications:

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

Minimum Experience, Essential Knowledge & Skills:

• Minimum 10 years' of experience with at least 7 years in technical pre-sales, AI consulting, or solution engineering.
• Proven experience in developing and monetizing AI use cases within a B2B or government context.
• Strong familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud platforms (Azure, AWS, GCP), and MLOps tools.

Professional Experience:

• Experience with public sector and regulated environments is highly desirable.
• Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).

Excellent Analytical and Problem-Solving Skills:

Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution

Strong Communication and Interpersonal Skills

• Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearly

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.

Job title

Senior Data Science Analyst

Ref #

Location

Qatar - Doha

Job family

Pilots & Flight Operations

• Closing date: 04-Nov-2025

About the role:

Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Flight Operations Support Services team as a Senior Data Science Analyst to be based in Doha, Qatar.

As a Senior Data Science Analyst, you will apply advanced analytical techniques to enhance the efficiency of Flight Operations and Technical Operations (CAMO). You will leverage on a wide range of methodologies, including machine learning, optimization, root cause analysis, and prototyping decision-support tools to deliver actionable insights and provide strategic recommendations to senior management and business stakeholders.

Specific responsibilities for the role include:

• Use a combined knowledge of data science, statistics, machine learning and optimization techniques to enhance Flight Operations and Technical Operations (CAMO) analytics capabilities.
• Develop and maintain strong business acumen within the Flight Operations and Technical Operations (CAMO) analytical scope, especially in the areas of on-time performance, flight schedule, predictive maintenance and impact on operational costs.
• Responsible for delivering multiple, highly complex and advanced analyses in a timely, efficient manner in collaboration with Flight and technical Operations' teams to understand contextual problems and deliver innovative solutions that address business needs.
• Lead data analysis activities using available sources to identify trends and patterns, deliver deeper operational insights to make predictions and generate data-driven recommendations.
• Develop and deploy machine learning models and optimization models.
• Propose and develop data-driven support prototypes based on machine learning and Optimization for further evaluation by the business users.
• Leverage emerging tools, open-source frameworks, and cloud technologies (including Vertex AI and Databricks) to create predictive and prescriptive analytics solutions. Familiarity with the Skywise platform is considered a plus.

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 in Mathematics, Statistics, Data Science, Operations Research, Artificial Intelligence.
• Minimum of 5 years of relevant experience and minimum 3 years' experience in Data Science role.
• Experience in applying statistics, advanced analytical methods, and operations research to solve business problems.
• Excellent presentation skills and data visualization.
• Proficiency in Python, R, and SQL for data preparation, querying, and ML model development.
• Hands-on experience with GCP Vertex AI and frameworks like TensorFlow, PyTorch, and Keras.
• Experience in Optimization software tools such as Cplex, Gurobi, Google OR-Tools.
• Advanced level of Microsoft Office (Word, Excel, PowerPoint. Outlook) skills.
• Experience with top-tier BI tools such as Qlik, Power BI, Tableau.
• Experience with the Skywise platform will be considered an asset.
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of partners, senior managers, and subject matter experts.

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.

How to apply

If you're ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.

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.

Job title

Senior Data Science Analyst - Qatari Nationals only

Ref #

Location

Qatar - Doha

Job family

Corporate & Commercial

• Closing date: 13-Oct-2025

*About The Role (Qatari Nationals Only) *
As a Senior Data Science Analyst, you will be responsible to lead a team of analysts to design and build analytics methodologies, solutions and products to deliver value where data is the basis for solutions. Balance numerous facets of data including, for example, technical distinctions across sets of data, maths and statics, software such as machine learning and connect them to business context and value by developing strategies and processes.

Other Key Responsibilities Are:

• Plans strategies to operationalize revenue managements goals of applying more data, science and technology to deliver results to meet revenue targets including RASK.
• Leads a team of analysts to deliver reliable, on time, revenue management and commercial data to reduce the time between a data point being generated and its usefulness to the business. Build and execute solid analytics work plans, gather and organize large and complex data sets, perform relevant analysis including data exploration and data modelling. Build and track a list of data sources available within the company and understand interrelations between different datasets to drive value.
• Translates sophisticated data science concepts in an understandable and meaningful manner to help the business adopt and transform.
• Works with traditional revenue management data sources including for example pricing, inventory and market share, bringing skills in computer science, artificial intelligence statistics and machine learning to deliver solutions to deliver revenue.
• Interprets the requirements of Revenue Management and other stakeholders, analysts and specialists to develop efficient and reliable solutions that to improve the quality of machine and analyst decisions to delivery revenue
• Collaborate with IT stakeholders, data analysts lead IT investigations from within the Organisation to create synergies and, where possible and applicable, adopt common tools and technologies to analyse digital value
• Compile statistical/supporting data to communicate findings, critical information and insights to business and make relevant recommendations to adapt existing business strategies.
• Provide comprehensive reports with recommendation for management review and decision making. Working with IT and the Business, assesses and report on the benefits of data science tools, solutions and results to contribute to future investment or business case decisions.
• Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths in order to propose solutions and strategies to new data processing challenges. Evaluate and problem solve through data analysis by working closely with colleagues to identify data related problems and mend where necessary.
• Identify challenges and opportunities gained from the analysis and conclude cases by proposing business improvement solutions. Use and apply modern development tools and write code to deliver data enabled solutions that drive personalization.
• Seeks improvements in data storage and processing and contributes to implementation plans for data lake and cloud storage solutions.
• Understands Data Science as an evolving field, working with departmental leadership to continuously seek out new solutions to deliver a competitive advantage.
• Develops constructive and collaborative relationships with other areas of Commercial and IT to supports the vision to deliver 5 star connections with our customers every time
• Work closely with Senior Data Science Analysts to build solutions.
• As a problem solver, works with other RM team members to understand business challenges, applying analytical curiosity to go beyond immediate requirements to find undiscovered insights that, through the use of data will deliver on the commercial and revenue management vision.
• Guide the RM organization towards to ultimate goal of increased revenue by supporting the managers with convincing evidence.

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.

Qualifications
Qualifications
*About You *
We are looking for a passionate and experienced professional to join the Revenue Management Team.

• Bachelor's degree or Master's degree in related disciplines such as Mathematics and Statistics, Computer Science or Engineering is essential
• 6+ years of job-related experience
• Expert understanding of statistics, operations research, forecasting and optimization methods
• Very good understanding of the airline business process. This includes Network Planning and Scheduling, e-commerce, Marketing and Sales
• Excellent communication and negotiation skills. Command of English language
• Expert understanding of IT related topics.

*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.

*How To Apply *
If you are interested to submit your application and feel you are a good fit for this role, please complete our application form and upload your CV for our review and consideration.

*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.

Job Summary
You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Job Objectives

• Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.
• Analyze large and complex datasets to extract actionable insights and drive business decisions.
• Interpret results and provide actionable insights to guide real-time decision-making within the business context.
• Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities
Predictive Modeling and Deployment

• Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.
• Utilize predictive modeling to optimize customer experiences and other business outcomes.
• Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis

• Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.
• Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.
• Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation

• Deploy models into production environments and monitor their performance over time.
• Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.
• Interpret results, develop insights within the business context, and provide guidance on risks and limitations

Development & Documentation

• Write the code as per agreed software design rules to keep it aligned with the rest of the code base.
• Code the final implementation that the generated code is referring to.
• Follow company software data protection and security guidelines in developing software.
• Accurately estimate the time needed to complete an assigned task.
• Identify possible causes of issues or problems.
• Think through and recommend solutions when raising issues around code, requirements, etc.
• Write technical design documentation that fully defines all application code.
• Maintain detailed knowledge of iHorizons products and services.
• Understand the business impact for labs outcomes.

Collaboration & Team Guidance

• Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.
• Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.
• Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.
• Actively mentor and support mid-level and junior developers in their professional growth.
• Provide guidance on best practices in machine learning, code reviews, and project design.
• Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.
• Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes.

Job Requirements
Educational Qualification

• Bachelor's degree in data science, statistics, and computer science is a MUST.
• Google Cloud - Professional Machine Learning Engineer Certificate
• Google AgentSpace implementation experience

Previous Work Experience

• 3-4+ Years of experience in data science or machine learning.
• Must have strong experience in at least one of the following areas:
• Vision models
• NLP models (Experience in Arabic NLP is a huge plus)

Skills And Abilities

• Proficient in python, TensorFlow, keras and pytorch.
• Good experience in:
• SQL and non-relational databases.
• Data analytics reports generation.
• ML model development deployment.

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Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabi's Government & Public Sector. In this role, you will design and deploy cutting-edge AI/ML solutions using Large Language Models (LLMs) like GPT, Llama, and BERT to drive innovation in public services.

This is an exciting opportunity to work on high-impact projects involving Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering, ensuring secure, scalable, and compliant AI systems for government applications.

• Develop and optimize AI/ML pipelines for LLMs, focusing on RAG architectures, fine-tuning, and prompt engineering tailored for public sector needs.
• Implement scalable solutions using Python, LangChain, HuggingFace, PyTorch/TensorFlow, and cloud-based ML services (Azure ML preferred).
• Integrate vector/graph databases (Weaviate, Neo4j) into production systems to enhance data retrieval and analysis.
• Deploy and monitor models in production, ensuring adherence to government security and compliance standards.
• Collaborate with cross-functional teams to align AI solutions with public sector objectives (e.g., citizen services, data governance, operational efficiency).

• 6-14 years of hands-on experience in AI/ML, with a strong focus on LLMs and GenAI.
• Expertise in LLM architectures (Transformers), prompt engineering, and RAG implementations.
• Proficiency in Python and ML frameworks (LangChain, LlamaIndex, HuggingFace, Scikit-learn).
• Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow, model monitoring).
• Familiarity with vector databases, ETL pipelines, and unstructured data handling.
• Knowledge of government IT standards or secure deployments is a plus.

To be discussed