15 AI Solutions 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

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.

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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