artificial intelligence intern Jobs in Doha

artificial intelligence intern

artificial

GE Aerospace

<div><h1 class="jobSectionHeader">Job Description Summary</h1><h1 class="jobSectionHeader">
Job Description</h1><div></div><div>
Company Overview:
Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
Site Overview
We serve regional customers with our &quot;Two sites, one team&quot; approach, operating from OWS Doha and Dubai. We have exciting growth plans for the upcoming years and are committed to excellence in everything we do. Our team is diverse, with more than 20 different nationalities, and we celebrate different perspectives and backgrounds, which contribute to innovative solutions and a dynamic workplace. Join us and be part of a team that is dedicated to making a difference in the aerospace industry.
Role Overview</div>
Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
What You will Do<ul><li>
Develop technical solutions for engineers to evaluate and adopt data and AI solutions.</li><li>
Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems</li><li>
Build and present product architectures, write technical code, and demo applications to stakeholders.</li><li>
Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value</li><li>
Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods</li><li>
Use your strengths to support team members and build cross-functional relationships across the company.</li><li>
Work to ship solutions to production that meet business needs and drive impact.</li></ul>
Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
Required Qualifications<ul><li>
Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.</li><li>
Minimum 3.7 cumulative GPA off a 4.0 scale without rounding</li></ul><ul><li>
Strong academic performance in Computer Science or other STEM disciplines</li><li>
Experience designing AI solutions and architecting distributed data systems</li><li>
 Proficiency in programming and debugging with Python, C#, C++, and SQL</li><li>
Customer-centric mindset with ability to lead design thinking workshops</li><li>
Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision</li><li>
Experience building solutions using public cloud platforms such as AWS or Azure</li><li>
Preferred but not required: AWS and/or Azure certification</li><li>
No prior work experience required</li></ul>
About The Internship<ul><li>
Winter Full-time (5 weeks) + Spring Part-time (12 weeks)</li><li>
Location: Remote</li><li>
Paid Internship</li><li>
Travel Opportunities</li><li>
Real-world project ownership</li><li>
Mentorship from experienced engineers</li><li>
Opportunity for return offers</li></ul>
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
<h1 class="jobSectionHeader">Additional Information</h1><div><div><div><div><div><div><div>
Relocation Assistance Provided: No</div></div></div></div></div></div></div></div>

Artificial Intelligence Intern

<div>
 
 Job Description Summary
 
 
 
 
 Job Description
 
 
 
 
 Company Overview
 
 
 
 Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
 
 
 
 Site Overview
 
 
 
 We serve regional customers with our "Two sites, one team" approach, operating from OWS Doha and Dubai. We have exciting growth plans for the upcoming years and are committed to excellence in everything we do. Our team is diverse, with more than 20 different nationalities, and we celebrate different perspectives and backgrounds, which contribute to innovative solutions and a dynamic workplace. Join us and be part of a team that is dedicated to making a difference in the aerospace industry.
 
 
 
 Role Overview
 
 
 
 Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
 
 
 At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
 
 
 What You will Do
 
 
 <ul>
 <li>
 Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
 </li>
 <li>
 Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
 </li>
 <li>
 Build and present product architectures, write technical code, and demo applications to stakeholders.
 </li>
 <li>
 Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
 </li>
 <li>
 Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
 </li>
 <li>
 Use your strengths to support team members and build cross-functional relationships across the company.
 </li>
 <li>
 Work to ship solutions to production that meet business needs and drive impact.
 
 
 </li>
 </ul>
 Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
 </li>
 <li>
 Minimum 3.7 cumulative GPA off a 4.0 scale without rounding
 </li>
 <li>
 Strong academic performance in Computer Science or other STEM disciplines
 </li>
 <li>
 Experience designing AI solutions and architecting distributed data systems
 </li>
 <li>
 Proficiency in programming and debugging with Python, C#, C++, and SQL
 </li>
 <li>
 Customer-centric mindset with ability to lead design thinking workshops
 </li>
 <li>
 Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision
 </li>
 <li>
 Experience building solutions using public cloud platforms such as AWS or Azure
 </li>
 <li>
 Preferred but not required: AWS and/or Azure certification
 </li>
 <li>
 No prior work experience required
 
 
 </li>
 </ul>
 
 About The Internship
 
 
 
 <ul>
 <li>
 Winter Full-time (5 weeks) + Spring Part-time (12 weeks)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Paid Internship
 </li>
 <li>
 Travel Opportunities
 </li>
 <li>
 Real-world project ownership
 </li>
 <li>
 Mentorship from experienced engineers
 </li>
 <li>
 Opportunity for return offers
 
 
 </li>
 </ul>
 At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 Relocation Assistance Provided:
 
 No
</div>

University of Doha for Science & Technology

<div>
 
 
 Overview
 
 
 
 
 University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bachelor's and master's degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the students&rsquo; skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally.
 
 
 With more than 700 staff and over 8,000 students, UDST is the destination of choice for applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences that incorporate innovative learning technologies. Our aim is to enhance students&rsquo; skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 
 
 Our eligible employees enjoy competitive compensation and benefits, in accordance with applicable UDST policies. These benefits include:
 
 
 <ul>
 <li>
 Generous academic annual leave
 </li>
 <li>
 Tax free salary
 </li>
 <li>
 Fully furnished upmarket accommodation (inclusive of utilities: water &amp; electricity)
 </li>
 <li>
 Annual flights for spouse and 3 children (up to 18 years old)
 </li>
 <li>
 Children&rsquo;s education allowance
 </li>
 <li>
 Relocation/Shipping allowance
 </li>
 <li>
 Professional development opportunities
 </li>
 <li>
 International health insurance
 </li>
 <li>
 In-house immigration services (to help you through the residency process)
 </li>
 <li>
 Full access to our recreational facilities
 </li>
 <li>
 Research and professional development support
 
 
 </li>
 </ul>
 The College of Computing and Information Technology (CCIT) invites applications for the position of Assistant/Associate Professor in Data Science and Artificial Intelligence . Exceptional candidates at the rank of Full Professor would also be considered.
 
 
 
 Your Commitment
 
 
 
 The primary role of the faculty members at the College of Computing and IT is to promote high-quality applied learning, innovative research, and service. Besides, he/she should collaborate with the college management and the rest of faculty to achieve the college's mission, deliver academic programs, pursue research, and engage in several administrative and academic services.
 
 
 Reporting to the Department Head, the successful candidate will be responsible for the development, delivery and evaluation of a broad range of courses within Data Science and Artificial Intelligence. Particular areas of interest include Machine Learning, Deep Learning, Visualization and Intelligent Interaction, Industrial and Business Analytics, IoT Software and Systems, and IoT Intelligence and Automation, but candidates with strong expertise in other areas related to Data Science and Artificial Intelligence will also be considered. Other duties include evaluation of student progress and management of resources of the learning environment. The successful candidate will liaise with industry and other educational institutions; participate in industry advisory committees and coordinate, manage and control projects within the specified program area. Faculty members will keep course portfolio documents required for accreditation processes and engage in instructional development/improvement plans. All faculty are expected to contribute to professional and community life within the university and beyond.
 
 
 
 
 Responsibilities
 
 
 
 
 
 Education and Experience Requirements
 
 
 
 Faculty members will be placed in the appropriate rank based on their education and experience (academic and/or industry). The broad criteria are provided below.
 
 
 
 Education
 
 
 
 PhD and a Master's degrees in Data Science and Artificial Intelligence or closely related field from an internationally recognized university with an undergraduate degree from an accredited university.
 
 
 
 For Assistant Professor
 
 
 
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 A minimum of 3 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.
 </li>
 <li>
 An active research agenda evidenced by high-quality publications in top tier journals and conference proceedings.
 </li>
 <li>
 Demonstrated leadership in building engagement and partnership with the profession and industry.
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Professional Certification in Data Science and Artificial Intelligence.
 </li>
 <li>
 Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.
 </li>
 <li>
 6+ years of employment experience as a practitioner/professional within the relevant discipline.
 </li>
 <li>
 Experience in leadership and innovation in technology-based projects.
 
 
 </li>
 </ul>
 
 For Associate Professor
 
 
 
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 A minimum of 8 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.
 </li>
 <li>
 A distinguished research record and international reputation evidenced by high quality publications in mainly top tier journals.
 </li>
 <li>
 Excellent record of supervising research students.
 </li>
 <li>
 Demonstrated leadership in building engagement and partnership with the profession and industry.
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Professional Certification in Data Science and Artificial Intelligence.
 </li>
 <li>
 Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.
 </li>
 <li>
 10+ years of employment experience as a practitioner/professional within the relevant discipline.
 </li>
 <li>
 Teaching experience in post-secondary, adult training, or industry training environment.
 </li>
 <li>
 Experience in leadership and innovation in technology-based projects.
 
 
 </li>
 </ul>
 
 
 Other Required Skills:
 
 
 
 
 <ul>
 <li>
 A thorough knowledge and work experience in Machine Learning, Deep Learning, Natural Language Processing, Statistical Learning and Modeling, and IoT applications. Candidates with strong expertise in other areas of Data Science and Artificial Intelligence will be considered as well.
 </li>
 <li>
 Commitment to applied and experiential learning as a pedagogy and a key feature of UDST&rsquo;s mandate.
 </li>
 <li>
 Ability to design, develop, deliver, and evaluate authentic learning experiences and assessments. These should incorporate contemporary tools and resources to maximize content learning in context, and to develop the knowledge, skills, competences and attitudes identified in program outcomes.
 </li>
 <li>
 Digital literacy and demonstrated fluency in technology systems, and an ability to model and facilitate use of current and emerging digital tools to support research and learning.
 </li>
 <li>
 Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own learning.
 </li>
 <li>
 Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous professional development and life-long learning.
 </li>
 <li>
 Effective oral and written communication skills.
 </li>
 <li>
 Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and members of the community.
 </li>
 <li>
 Ability to initiate applied research projects.
 
 
 </li>
 </ul>
 
 
 How To Apply
 
 
 
 
 Applicants must meet all essential qualifications in order to be shortlisted for the position; other qualifications may be a deciding factor in the selection. Qualifications and experience will be assessed through your application, which may include but not be limited to curricula vitae, mock lectures, motivation letter, references, teaching dossiers and sample publications. It is the applicant&rsquo;s responsibility to provide appropriate examples that illustrate how s/he meets each requirement. Failing to do so could result in the application being rejected. We thank all applicants for applying for the role; only those selected for further consideration will be contacted.
</div>

Assistant/ Associate Professor - Data Science and Artificial Intelligence

Wood PLC

<div>Remarkable people, trusted by clients to design and advance the world
Wood is currently hiring for a AI Research Intern to support future growth in our expanding business
This is a 3 month Internship based in Qatar.</div>
 <div>AI Research Intern will Join Wood PLC&rsquo;s Asset Life Optimisation consulting team to dive into the intersection of artificial intelligence and asset integrity. This internship focuses on exploring how AI and machine learning can enhance service delivery in corrosion, vibration, and integrity management.
Designing the future. Transforming the world
Reflecting the market focus for the office in both brownfield and green field opportunities, multi-skilled personnel are sought, in particular those with experience in:
Onshore Oil and Gas
 
Offshore Oil and Gas
What we can offer
<ul><li>Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
</li><li>Commitment to Diversity and Inclusion ; we are an organisation actively committed to diversity and inclusion across our business with employee networks committed to giving all employees a voice
</li><li>Global connections : join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
</li></ul>Key Responsibilities:
<ul><li>Research current AI applications in asset integrity (e.g., predictive modeling, anomaly detection).
</li><li>Identify inefficiencies in existing workflows and propose AI-based solutions.
</li><li>Interview team members to understand data availability and operational challenges.
</li><li>Develop 2&ndash;3 AI use cases with feasibility assessments.
</li></ul>Deliverables:
<ul><li>A research report or white paper.
</li><li>A presentation summarizing findings and recommendations.
</li><li>A simple prototype or mock-up (optional).</li></ul></div>
 <div>What makes you remarkable?
At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world&rsquo;s most critical challenges.
Experience:
<ul><li>Bachelor&rsquo;s degree (or final year student) in Engineering, Computer Science, Data Science, or a related field.
</li><li>Strong analytical and research skills.
</li><li>Basic understanding of AI/ML concepts and tools.
</li><li>Ability to communicate technical findings clearly.
</li></ul>Preferred Qualifications:
<ul><li>Familiarity with Python, MATLAB, or other data analysis tools.
</li><li>Exposure to asset integrity or reliability engineering concepts.
</li><li>Experience with data visualization.
</li></ul>Learning Opportunities:
<ul><li>Research and innovation in AI applications.
</li><li>Technical writing and presentation skills.
</li><li>Exposure to real-world engineering challenges.</li></ul></div>
 <div><div>Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com 
</div><div></div> 
<div>Diversity Statement
</div><div>We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.</div></div>

AI Research Intern

Al-Tamyeez Security Systems Co.

We are seeking a highly skilled and motivated AI Engineer (Software &amp;hardware ) to join our growing engineering team. As an AI Engineer, you will be responsible for designing, developing, and deploying intelligent systems and machine learning models to solve complex problems across various domains. You will collaborate closely with software engineers, data scientists, and product teams to integrate AI capabilities into scalable software solutions.Key Responsibilities:<ul><li>Design, build, and deploy machine learning models and AI algorithms.</li></ul><ul><li>Develop scalable and production-ready AI solutions for real-world applications.</li></ul><ul><li>Collaborate with cross-functional teams (data engineering, product, software development) to define technical requirements.</li></ul><ul><li>Integrate AI models into software products and services using appropriate APIs and frameworks.</li></ul><ul><li>Optimize model performance, reliability, and accuracy through testing and iteration.</li></ul><ul><li>Stay up-to-date with the latest trends and advancements in AI, ML, NLP, and computer vision.</li></ul><ul><li>Work with large-scale datasets: data cleaning, feature engineering, and preprocessing.</li></ul><ul><li>Monitor and maintain AI systems in production, ensuring robustness and performance.</li></ul>&#11835;Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul><ul><li>Strong programming skills in Python (preferred), Java, or C++.</li></ul><ul><li>Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li></ul><ul><li>Experience with model deployment tools (e.g., Docker, Kubernetes, Flask, FastAPI).</li></ul><ul><li>Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML workflows.</li></ul><ul><li>Understanding of software engineering best practices (Git, CI/CD, unit testing).</li></ul><ul><li>Strong problem-solving and analytical thinking abilities.</li></ul>&#11835;Preferred Qualifications:<ul><li>Experience in deep learning, computer vision, NLP, or reinforcement learning.</li></ul><ul><li>Experience with MLOps tools and practices (MLflow, Kubeflow, etc.).</li></ul><ul><li>Prior experience deploying AI models in production environments.</li></ul><ul><li>Knowledge of data warehousing, big data technologies (Spark, Hadoop).</li></ul><ul><li>Contributions to open-source AI/ML projects.</li></ul>Benefits:<ul><li>Competitive salary and performance bonuses</li></ul><ul><li>Health, dental, and vision insurance</li></ul><ul><li>Generous paid time off and holidays</li></ul><ul><li>Remote work options and flexible hours</li></ul><ul><li>Professional development and training opportunities</li></ul>Department: Engineering / AI &amp; Machine LearningJob Type: Full-TimeSalary depends on qualifications &amp; experience (Range 3500 to 5000)Location: DOHAJob Type: Full-timePay: QAR3,500.00 - QAR5,000.00 per month

AI Engineer (Software & Hardware )

ATLINKS

Company DescriptionAtlinks.ai, part of the NAAAS Group, is a cutting-edge company specializing in artificial intelligence and software development. Our mission is to pioneer the artificial intelligence domain in the Middle East through the development of innovative algorithms, deployment of leading-edge machine learning models, and utilization of intricate data analysis to tackle real-world challenges.Role DescriptionThis is a full-time on-site role for a usiness Development Manager. The role entails day-to-day tasks such as new business development, communication, lead generation, and sales. As a Business Developer, you will play a crucial role in driving our growth and expanding our client base.Key Responsibilities:<ul><li>Develop and execute business development strategies to meet company goals.</li><li>Identify and pursue new business opportunities in the Qatari market.</li><li>Build and maintain strong relationships with potential customers and stakeholders.</li><li>Coordinate and facilitate communication between internal teams to ensure smooth project execution.</li><li>Conduct market research to identify trends, customer needs, and competitive landscape.</li><li>Prepare and deliver presentations, proposals, and reports to prospective clients.</li><li>Collaborate with the marketing team to develop targeted campaigns and outreach efforts.</li><li>Attend industry events, conferences, and networking activities to promote Atlinks.ai.</li></ul>Requirements:<ul><li>Minimum of 5 years of experience in business development or a similar role.</li><li>Fluent in both Arabic and English.</li><li>Strong IT background, with knowledge of AI and software development.</li><li>Excellent communication, negotiation, and interpersonal skills.</li><li>Ability to work independently and as part of a team.</li><li>Strategic thinker with the ability to identify and capitalize on business opportunities.</li><li>Bachelor's degree in Business Administration, Marketing, or a related field (advanced degree preferred).</li></ul>Preferred Qualifications:<ul><li>Experience in the IT/AI industry or related technology sectors.</li><li>Familiarity with the Qatari business landscape and market dynamics.</li><li>Proven ability to manage multiple projects and meet deadlines.</li></ul>How to Apply:Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this role to info@atlinks.aiJob Types: Full-time, PermanentPay: QAR12,000.00 - QAR20,000.00 per month

Business Development Manager - AI & Technology Solutions

Roots Energy and Engineering Services

Hiring -- Permanent EmploymentSales Engineer /Sales InCharge - TRP Sports Flooring Division* Identify and develop new business opportunities in the sports flooring market (indoor &amp; outdoor).* Promote TRP&rsquo;s range of sports flooring products (PU flooring, Acrylic, Vinyl, Rubber, Artificial Turf, etc.).* Meet with architects, contractors, builders, consultants, schools, sports clubs, and government bodies to present solutions* Understand client requirements and provide tailored technical and commercial proposals.* Coordinate with the technical and installation team for site surveys and project execution.Candidates can send CVs &amp; Certificates thru whatsapp - 30869324Job Types: Full-time, PermanentPay: QAR5,000.00 - QAR8,000.00 per month

Sales Engineer /Sales Incharge-Sports Flooring

Explore 15+ Artificial in Doha this September. Find roles across top companies and apply now to boost your career.

15 artificial jobs IN Doha

Artificial Intelligence Intern

Artificial Intelligence Intern

Assistant/ Associate Professor - Data Science and Artificial Intelligence

AI Research Intern

AI Engineer (Software & Hardware )

Business Development Manager - AI & Technology Solutions

Sales Engineer /Sales Incharge-Sports Flooring