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artificial intelligence intern Jobs in Doha

artificial intelligence intern

machine learning engineer

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 )

Scale AI

<div>
 Scale&rsquo;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:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 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&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 You will:
 
 
 <ul>
 <li>
 Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
 </li>
 <li>
 Manage a team of ML Engineers
 </li>
 <li>
 Work with product and research teams to identify opportunities for ongoing and upcoming services.
 </li>
 <li>
 Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
 </li>
 <li>
 Create state of the art techniques to integrate tool-calling into production-serving LLMs.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 Ideally you&rsquo;d have:
 
 
 <ul>
 <li>
 At least 5 years of model training, deployment and maintenance experience in a production environment
 </li>
 <li>
 At least 5+ years of management or tech leadership experience
 </li>
 <li>
 Strong skills in NLP, LLMs and deep learning
 </li>
 <li>
 Solid background in algorithms, data structures, and object-oriented programming
 </li>
 <li>
 Experience working with a cloud technology stack (eg. AWS, GCP, or Azure) and developing machine learning models in a cloud environment
 </li>
 <li>
 Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross functional team environment
 
 
 </li>
 </ul>
 Nice to haves:
 
 
 <ul>
 <li>
 Experience in dealing with large scale AI problems, ideally in the generative-AI field
 </li>
 <li>
 Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
 </li>
 <li>
 Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
 </li>
 <li>
 Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
 </li>
 <li>
 Fluent in Arabic
 
 
 </li>
 </ul>
 
 
 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, DLP 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 accommodations@scale.com. 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&rsquo; 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.
 
</div>

Machine Learning Engineering Manager, International Public Sector

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>

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 Our Purpose - Bridging the World Through Travel
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 Get to Know Our TeamThe Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 The Opportunity
 
 
 Please note -The role will be based in Bangkok.
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 In This Role, You&rsquo;ll Get to
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 What You&rsquo;ll Need to Succeed
 
 
 <ul>
 <li>
 4+ years hands-on data science experience
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment
 
 
 </li>
 </ul>
 It&rsquo;s Great if You Have
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
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 Equal Opportunity Employer
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 Disclaimer
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

JBK controls W.L.L

Company DescriptionJBK Controls is part of the JBK Group, a leading Systems Integrator headquartered in Doha, Qatar. We have proven expertise in centrally controlled and integrated Security, Safety, Automation &amp; IT Systems for a range of projects in commercial, industrial, and Oil &amp; Gas sectors. With over 48 years of experience, JBK Controls offers timely and cost-effective solutions with manpower and technical expertise.Role Description This is a full-time on-site role for a Mechanical Engineer at JBK Controls in Doha, Qatar. The Mechanical Engineer will be responsible for tasks related to mechanical engineering, machine design, computer-aided design (CAD), project management, and research and development (R&amp;D).Qualifications include<ul><li>Mechanical Engineering and Machine Design skills</li><li>Proficiency in Computer-Aided Design (CAD)</li><li>Experience in Project Management and Research and Development (R&amp;D)</li><li>Strong problem-solving and analytical skills</li><li>Excellent communication and teamwork abilities</li><li>Bachelor's degree in mechanical engineering or related field</li><li>Experience in the industrial or Oil &amp; Gas sector is a plus</li></ul>We prefer candidates with 1 to 5 years of relevant experience with NOC available.Local hire onlyInterested candidates can share their updated CV to recruitment@jbkcontrols.comJob Types: Full-time, PermanentEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>ELV: 1 year (Required)</li></ul>

Mechanical Engineer

Explore 697+ Machine learning engineer in Doha this September. Find roles across top companies and apply now to boost your career.

697 machine learning engineer jobs IN Doha

AI Engineer (Software & Hardware )

Machine Learning Engineering Manager, International Public Sector

Artificial Intelligence Intern

Artificial Intelligence Intern

Senior Data Scientist (Bangkok based, relocation provided)

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Mechanical Engineer