24 Machine Learning Manager jobs in Qatar

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.

Scale's rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

We are hiring a Machine Learning Engineer Manager who will manage a team of high-calibre MLEs who design, train, deploy, and evaluate computer vision and/or LLMs to power custom applications we build for our public sector clients. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products.

At Scale, we're not just building AI solutions—we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

You will:

• Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
• Manage a team of ML Engineers
• Work with product and research teams to identify opportunities for ongoing and upcoming services.
• Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
• Create state of the art techniques to integrate tool-calling into production-serving LLMs.
• Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.

Ideally you'd have:

• At least 5 years of model training, deployment and maintenance experience in a production environment
• At least 5+ years of management or tech leadership experience
• Strong skills in NLP, LLMs and deep learning
• Solid background in algorithms, data structures, and object-oriented programming
• Experience working with a cloud technology stack (eg. AWS, GCP, or Azure) and developing machine learning models in a cloud environment
• Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
• Strong written and verbal communication skills to operate in a cross functional team environment

Nice to haves:

• Experience in dealing with large scale AI problems, ideally in the generative-AI field
• Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
• Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
• Fluent in Arabic

PLEASE NOTE:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's
Know Your Rights poster
for additional information.
We comply with the United States Department of Labor's
Pay Transparency provision
.
PLEASE NOTE:
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Role Overview:

The Account Manager – AI & Digital Solutions will be responsible for driving client engagement, managing strategic accounts, and delivering cutting-edge AI and digital transformation solutions. This role requires a strong understanding of emerging technologies, client needs, and the ability to translate business problems into digital solutions.

Key Responsibilities:

·   Manage and grow key client accounts in AI, data analytics, and digital transformation.

·   Identify new business opportunities and build long-term client relationships.

·   Collaborate with technical teams to design and deliver customized AI-powered solutions.

·   Lead proposal development, RFP responses, and client presentations.

·   Monitor project delivery to ensure client satisfaction and value realization.

·   Stay updated on AI trends, tools, and best practices to guide client strategies.

Requirements:

·   Bachelor's or Master's degree in Business, Computer Science, AI, or related fields.

· years of experience in account management, preferably in AI or digital transformation projects.

·   Strong knowledge of AI applications, cloud solutions, and enterprise digital platforms.

·   Excellent communication, negotiation, and presentation skills.

·   Fluency in English (Arabic is an advantage).

Role & responsibilities

We are seeking a dynamic and highly motivated AI Business Development Manager who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.

The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.

Customer Engagement & Opportunity Discovery

• Meet with key stakeholders across industries to understand their business models, challenges, and pain points.
• Conduct detailed needs assessments to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.
• Act as a trusted advisor to CXOs, department heads, and technical decision-makers on AI adoption.

Use Case Ideation & Solutioning

• Co-create and develop AI-driven use cases tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).
• Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.
• Translate business requirements into technical solution briefs, PoC proposals, and value propositions.

Business Development & Go-to-Market Execution

• Own and drive the AI sales funnel from lead generation to deal closure.
• Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.
• Prepare compelling presentations and demos to articulate the power of AI solutions in solving business problems.

Market & Trend Intelligence

• Stay abreast of the latest AI/ML trends, emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.
• Continuously scout the market for innovative AI use cases and competitor activities.
• Provide strategic inputs for refining our AI portfolio, industry focus, and solution roadmap.

Qualifications

• Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
• 5+ years of experience in business development, solution consulting, or customer-facing AI roles.
• Proven experience in identifying and converting AI/Data opportunities into revenue-generating projects.
• Strong understanding of AI technologies: Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling, etc.
• Excellent communication, storytelling, and presentation skills.
• Ability to engage both technical and non-technical stakeholders with equal ease.

Preferred Skills

• Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere, Open Source AI frameworks and Data platforms like Cloudera, Snowflake etc.
• Knowledge of industry-specific AI applications in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.
• Prior experience in a consulting, IT services, or AI-focused organization is a strong plus.

Position Summary

We are seeking a dynamic and highly motivated
AI Business Development Manager
who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in
Artificial Intelligence (AI)
,
Machine Learning (ML)
, and
Data Science
.

The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.

Key Responsibilities

Customer Engagement & Opportunity Discovery

• Meet with key stakeholders across industries to
  understand their business models, challenges, and pain points
  .
• Conduct detailed
  needs assessments
  to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.
• Act as a
  trusted advisor
  to CXOs, department heads, and technical decision-makers on AI adoption.

Use Case Ideation & Solutioning

• Co-create and develop AI-driven use cases
  tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).
• Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.
• Translate business requirements into
  technical solution briefs
  , PoC proposals, and value propositions.

Business Development & Go-to-Market Execution

• Own and drive the
  AI sales funnel
  — from lead generation to deal closure.
• Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.
• Prepare compelling
  presentations and demos
  to articulate the power of AI solutions in solving business problems.

Market & Trend Intelligence

• Stay abreast of the
  latest AI/ML trends
  , emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.
• Continuously scout the market for innovative AI use cases and competitor activities.
• Provide strategic inputs for refining our
  AI portfolio, industry focus, and solution roadmap
  .

Qualifications

• Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
• 5+ years of experience in
  business development
  ,
  solution consulting
  , or
  customer-facing AI roles
  .
• Proven experience in identifying and converting
  AI/Data opportunities into revenue-generating projects
  .
• Strong understanding of AI technologies:
  Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling
  , etc.
• Excellent communication, storytelling, and presentation skills.
• Ability to engage both
  technical and non-technical stakeholders
  with equal ease.

Preferred Skills

• Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere,
  Open Source AI frameworks
  and Data platforms like Cloudera, Snowflake etc.
• Knowledge of
  industry-specific AI applications
  in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.
• Prior experience in a
  consulting, IT services, or AI-focused organization
  is a strong plus.

We are seeking a dynamic and highly motivated AI Business Development Manager who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.

The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.

Key Responsibilities

Customer Engagement & Opportunity Discovery

• Meet with key stakeholders across industries to understand their business models, challenges, and pain points.

• Conduct detailed needs assessments to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.

• Act as a trusted advisor to CXOs, department heads, and technical decision-makers on AI adoption.

Use Case Ideation & Solutioning

• Co-create and develop AI-driven use cases tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).

• Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.

• Translate business requirements into technical solution briefs, PoC proposals, and value propositions.

Business Development & Go-to-Market Execution

• Own and drive the AI sales funnel — from lead generation to deal closure.

• Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.

• Prepare compelling presentations and demos to articulate the power of AI solutions in solving business problems.

Market & Trend Intelligence

• Stay abreast of the latest AI/ML trends, emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.

• Continuously scout the market for innovative AI use cases and competitor activities.

• Provide strategic inputs for refining our AI portfolio, industry focus, and solution roadmap.

Qualifications

• Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.

• 5+ years of experience in business development, solution consulting, or customer-facing AI roles.

• Proven experience in identifying and converting AI/Data opportunities into revenue-generating projects.

• Strong understanding of AI technologies: Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling, etc.

• Excellent communication, storytelling, and presentation skills.

• Ability to engage both technical and non-technical stakeholders with equal ease.

Preferred Skills

• Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere, Open Source AI frameworks and Data platforms like Cloudera, Snowflake etc.

• Knowledge of industry-specific AI applications in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.

• Prior experience in a consulting, IT services, or AI-focused organization is a strong plus.

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