65 AI Intern jobs in Qatar

time left to apply End Date: August 29, 2025 (3 days left to apply)

job requisition id 2023617

We are hiring AI Engineer in our Qatar campus.

The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus’ academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.

Key Responsibilities

AI Development, Support & Deployment (50%)

Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.

Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.

Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.

Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.

Leverage experience with AI/ML solutions in Azure, AWS, or Google Cloud environments to support scalable deployments.

Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines

Training, Stakeholder Engagement & Documentation (30%)

Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.

Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.

Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.

Research, Innovation & Technology Evaluation (10%)

Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.

Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.

Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.

Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.

Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university’s main campus.

Minimum Qualifications

Education:

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field is required.

Experience:

3–5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.

Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.

Experience deploying AI/ML solutions in Azure, AWS, or Google Cloud environments .

Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.

Excellent presentation, documentation, and training facilitation skills.

Joining the CMU team opens the door to an array of exceptional benefits.

For a comprehensive overview of the benefits available, explore our Benefits page .

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization! Apply today!

Location

Job Function

We are hiring AI Engineer in our Qatar campus.

The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus’ academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.

Key Responsibilities

AI Development, Support & Deployment (50%)

Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.

Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.

Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.

Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.

Leverage experience with AI/ML solutions in Azure, AWS, or Google Cloud environments to support scalable deployments.

Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines

Training, Stakeholder Engagement & Documentation (30%)

Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.

Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.

Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.

Research, Innovation & Technology Evaluation (10%)

Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.

Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.

Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.

Collaboration (10%)

Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.

Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university’s main campus.

Minimum Qualifications

Education:

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field is required.

Master’s degree preferred.

Experience:

3–5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.

Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.

Experience deploying AI/ML solutions in Azure, AWS, or Google Cloud environments .

Skills & Competencies:

Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.

Excellent presentation, documentation, and training facilitation skills.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access , and much more!

For a comprehensive overview of the benefits available, explore our Benefits page .

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization! Apply today!

Location

Job Function

Position Type

Full Time/Part time

Pay Basis

More Information:

• Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world.

• Click here to view a listing of employee benefits

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .

• Statement of Assurance

About Us

Mathspace is on a mission to transform mathematics education. We believe that every student can learn and grow in mathematics with the right support—and we're building the most intelligent, adaptive platform to make that possible.

For over a decade, we've pioneered interactive, feedback-driven math learning experiences used by hundreds of thousands of students and teachers globally. But we're just getting started.

The future of math education is one where AI helps every learner receive personalized, real-time guidance—just like a tutor would. And we're building it.

We're a passionate, mission-driven team that blends deep educational insight with cutting-edge technology. At Mathspace, your work directly impacts how the next generation learns.

About The Role

As an AI Product Engineer at Mathspace, you'll lead the development of intelligent learning experiences powered by large language models (LLMs) and other forms of generative AI. From concept to production, you'll build novel product features that help students get timely hints, conversational feedback, and human-like math support—at scale.

You'll join a cross-functional product squad of engineers, designers, educators, and product managers, and work across the stack to explore what's possible at the intersection of pedagogy and AI. You'll evaluate models, design prompts and evaluation frameworks, and help us ship polished experiences to classrooms around the world.

We're still in the early days of our AI journey, and you'll be a key contributor in shaping our strategy, systems, and culture around building with LLMs.

What You'll Be Doing

• Designing and building AI-powered learning experiences that integrate LLMs into Mathspace's student and teacher-facing apps.
• Prototyping, testing, and deploying LLM-based features, such as math-specific feedback, adaptive hints, automated question generation, and teacher co-pilot tools.
• Working across the stack using React, TypeScript, Python and GraphQL.
• Experimenting with prompting, RAG, vector search, and fine-tuning strategies to optimize for student learning outcomes.
• Collaborating with our curriculum and pedagogy teams to ensure our AI experiences are pedagogically sound and aligned with our educational values.
• Contributing to our AI infra and LLMOps processes, including evaluation pipelines, prompt versioning, and observability tools.
• Thinking creatively and critically about what LLMs should and shouldn't do in an educational context—and designing safeguards accordingly.
  
  

• 5+ years of industry experience in product-focused full stack or backend engineering.
• Proficiency in our stack: React/TypeScript, Python, GraphQL.
• Hands-on experience building and deploying LLM-powered applications in production.
• Familiarity with tools and concepts like RAG, prompt engineering, evaluation frameworks, and LLMOps best practices.
• A strong sense of product intuition and user empathy, especially in educational contexts.
• Excellent communication and collaboration skills. You'll be working cross-functionally with teams across pedagogy, design, and engineering.
• A desire to move fast, learn continuously, and build things that really matter for students and teachers
  
  

• Mission-driven work: Help reimagine math education for students and teachers everywhere.
• Meaningful scale: Your work will reach hundreds of thousands of learners across Australia, the US, and beyond.
• Small team, big impact: We're a lean, high-trust team where individual ownership matters.
• Flexible work: We support remote work with some timezone overlap with Sydney. Our HQ is near Central Station.
• Support for growth: We offer a yearly stipend for training and professional development.
• Do good beyond product: We partner with pledge1percent.org and offer 2.5 paid volunteer days annually.
• Competitive salary and equipment: Including a MacBook Pro and any peripherals you need to do your best work

The AI Ops Engineer manages thedeployment, monitoring, and maintenance of AI models. This role involvesensuring the reliability, scalability, and performance of AI systems,collaborating with cross-functional teams to optimize AI operations, and troubleshootingissues as they arise.

• Deploy,monitor, and maintain AI models and systems to ensure optimal performance andreliability.
• Implementand manage CI/CD pipelines for the continuous integration and delivery of AImodels.
• Collaboratewith data scientists, AI engineers, and other stakeholders to understand modelrequirements and ensure successful deployment.
• Monitorthe performance of AI models and systems, identifying and resolving issuespromptly.
• Developand maintain automated monitoring and alerting systems to ensure the health andperformance of AI systems.
• OptimizeAI models and infrastructure for scalability and efficiency
• Ensurecompliance with data governance, security, and regulatory standards in AIoperations.
• Documentdeployment procedures, monitoring processes, and maintenance activities.
• Stayupdated with the latest advancements in AI operations and infrastructuretechnologies.
• Providetechnical support and guidance to junior team members.
• Participatein project planning and contribute to the development of project timelines anddeliverables.
• Performother duties relevant to the job as assigned by the Sr. AI Ops Engineer orsenior management.

• Bachelor’sdegree in Computer Science, Information Technology, or a related field
• Relevantcertifications (e.g., AWS Certified DevOps Engineer, Google Cloud ProfessionalDevOps Engineer) are preferred
• Minimumof 3 years of experience in AI operations, DevOps, or related fields
• Experiencein managing the deployment and maintenance of AI models
• Strongprogramming skills in languages such as Python
• Proficiency in AI and machinelearning frameworks (e.g., TensorFlow, PyTorch)
• Experience with CI/CD tools (e.g.,Jenkins, GitLab CI)
• Excellent problem-solving andtroubleshooting skills
• Strongcommunication and interpersonal skills
• In-depthknowledge of AI operations and infrastructure management
• Familiarity with cloud platforms(e.g., AWS, Azure, Google Cloud) and their AI services
• Understandingof data governance, security, and regulatory standards
• Ability tomanage multiple tasks and prioritize effectively
• Strong attention to detail andcommitment to delivering high-quality work
• Abilityto work independently and as part of a team
• Programminglanguages (e.g., Python)
• AI and machine learning frameworks(e.g., TensorFlow, PyTorch)
• CI/CD tools (e.g., Jenkins, GitLabCI)
• Monitoring and logging tools (e.g.,Prometheus, ELK Stack)
• Collaborationand communication tools (e.g., Slack, Microsoft Teams)
  

The AI/ML Engineer develops andimplements AI/ML models and solutions to drive business innovation andefficiency. This role involves developing and validating machine learningmodels, deep learning algorithms, and statistical analyses, collaborating withcross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Develop and implement AI/ML projects,including the design and development of models and algorithms.
• Collaborate with stakeholders to understandbusiness requirements and translate them into AI/ML solutions.
• Develop and validate machine learningmodels, deep learning algorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevanceof AI/ML outputs.
• Stay updated with the latest advancementsin AI/ML technologies and best practices, applying them to enhance solutions.
• Provide support and guidance to other teammembers as needed.
• Ensure compliance with data governance,security, and regulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports anddocumentation to senior management and stakeholders.
• Participate in project planning andcontribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job asassigned by the Sr. AI/ML Engineer or senior management.
  

• Bachelor’s degree in AI/ML Engineering,Computer Science, or a related field
• Relevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning –Specialty) are preferred
• Preferred 1 year of experience in AI/MLengineering or related fields.
• Strong programming skills in languages suchas Python, R, or Java
• Proficiency in AI/ML tools and frameworks(e.g., TensorFlow, PyTorch)
• Excellent problem-solving and analyticalskills
• Strong communication and interpersonalskills
• Attention to detail and commitment toquality
• In-depth understanding of AI/ML principles,machine learning algorithms, and statistical analysis
• Familiarity with AI/ML model deployment andmonitoring
• Knowledge of data governance, security, andregulatory standards
• Ability to manage multiple tasks andprioritize effectively
• Strong attention to detail and commitmentto delivering high-quality work
• Ability to work independently and as partof a team
• Programming languages (e.g., Python, R,Java)
• AI/ML tools and frameworks (e.g.,TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau,Power BI)
• Collaboration and communication tools(e.g., Slack, Microsoft Teams)
• Data management systems (e.g., SQL, NoSQLdatabases)

Reports to: Head of Merchant Acquiring and Head of Payments

Relevant experience: Minimum 10 years in merchant acquiring, payments, or financial services industry, with at least 5 years in a leadership role.

Mandatory requirements: Experience from Qatar or GCC region; Proficiency in English; knowledge of Arabic is a plus; Notice period: Immediate to 30 days

Purpose of Job:

The Strategic Growth Lead will drive the growth of the merchant acquiring team by developing and implementing effective incentive structures for sales representatives and merchants. The role will focus on identifying and targeting high-potential merchant segments as well as addressing market forces.

Core Responsibilities and Accountabilities:

• Develop and execute strategic plans to drive merchant acquisition and engagement.
• Design and implement incentive structures for sales representatives and merchants.
• Identify and target high-potential merchant segments to maximize growth.
• Analyze market trends and competitor activities to inform strategic decisions.
• Collaborate with internal teams to ensure alignment with overall business objectives.
• Monitor and report on key performance indicators (KPIs) to track progress and adjust strategies as needed.
• Increase acquiring presence and penetration in the aggregator / PSP segment by developing strategic partnerships and exploring emerging opportunities.
• Evaluate and optimize current incentive structures to align with broader business development goals and drive desired behaviors.
• Enhance usage and profitability with large key merchants in dual merchant setups through tailored strategies and technology utilization.
• Develop comprehensive merchant training programs to drive POS usage and compliance with payment scheme guidelines.
• Identify gaps and suggest improvements in the e-commerce space to lead the market, including exploring new payment methods and emerging technologies.

KPIs:

• Increase in merchant acquisition and retention rates.
• Growth in transaction volume and value.
• Achievement of sales targets and revenue goals.
• Improvement in sales team performance and productivity.
• Expansion in the aggregator / PSP segment.
• Enhanced profitability with key merchants.
• Increased POS usage and compliance among merchants.
• Innovation and leadership in the e-commerce space.

Knowledge and Experience:

• Proven track record in leading and managing sales teams.
• Relevant certifications in sales or payments (e.g., Certified Payments Professional).
• In-depth understanding of the payments industry and merchant acquiring.
• Strong analytical skills to assess market trends and competitor activities.
• Excellent communication and negotiation skills.
• Knowledge of incentive structure design and implementation.
• Familiarity with market analysis and competitive intelligence.
• Expertise in team leadership and development.
• Strategic planning and execution.
• Sales and relationship management.
• Market analysis and competitive intelligence.
• E-commerce innovation strategies.

Mandatory Skills:

• Local experience in Qatar or GCC region.
• Proficiency in English; knowledge of Arabic is a plus.
• Domain expertise in merchant acquiring and payment processing.
• Strong technical skills in payment technologies and CRM systems.
• Notice period: Immediate to 30 days.