98 Machine Learning Engineer jobs in Qatar

Oryx Universal College in partnership with Liverpool John Moores University | Full time

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

Key Responsibilities:

• Design, train, evaluate, and deploy machine learning and deep learning models
  
• Build and maintain scalable AI solutions for real-time or batch processing systems.
  
• Optimise model performance, including accuracy, latency, and resource consumption.
  
• Collaborate with data engineers and analysts to source, clean, and transform data.
  
• Apply advanced statistical and data mining techniques to extract meaningful patterns.
  
• Stay updated with the latest advancements in AI and ML technologies.
  
• Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.
  
• Systems Integration
  
• Develop APIs and services to integrate AI solutions into existing platforms or applications.
  
• Collaborate with software engineers and DevOps teams to ensure production-level stability.
  
• Work closely with academic and operational teams to understand business needs and translate them into technical solutions.
  
• Prepare documentation, reports, and presentation materials to communicate findings and methodologies.
  

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred).

Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.

Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).

Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.

Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerised environments (Docker, Kubernetes).

Knowledge of MLOps tools and CI/CD pipelines for ML projects.

Familiarity with big data platforms (e.g., Spark, Hadoop).

Experience with academic or educational systems (LMS, AI in education) is a plus.

Demonstrated contributions to open-source projects, research publications, or hackathons.

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

1. Model Development & Deployment
   1. Design, train, evaluate, and deploy machine learning and deep learning models.
   2. Build and maintain scalable AI solutions for real-time or batch processing systems.
   3. Optimize model performance, including accuracy, latency, and resource consumption.
2. Data Engineering & Processing
   1. Collaborate with data engineers and analysts to source, clean, and transform data.
   2. Apply advanced statistical and data mining techniques to extract meaningful patterns.
3. Research & Innovation
   1. Stay updated with the latest advancements in AI and ML technologies.
   2. Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.
4. Systems Integration
   1. Develop APIs and services to integrate AI solutions into existing platforms or applications.
   2. Collaborate with software engineers and DevOps teams to ensure production-level stability.
5. Collaboration & Communication
   1. Work closely with academic and operational teams to understand business needs and translate them into technical solutions.
   2. Prepare documentation, reports, and presentation materials to communicate findings and methodologies.

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred).
• Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.
• Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
• Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.
• Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerized environments (Docker, Kubernetes).

• Knowledge of MLOps tools and CI/CD pipelines for ML projects.
• Familiarity with big data platforms (e.g., Spark, Hadoop).
• Experience with academic or educational systems (LMS, AI in education) is a plus.
• Demonstrated contributions to open-source projects, research publications, or hackathons.

• Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
• Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
• Build and present product architectures, write technical code, and demo applications to stakeholders.
• Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
• Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
• Use your strengths to support team members and build cross-functional relationships across the company.
• Work to ship solutions to production that meet business needs and drive impact.

• Graduate or pursuing a bachelor's degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
• Minimum 3.7 cumulative GPA off a 4.0 scale without rounding

• Strong academic performance in Computer Science or other STEM disciplines
• Experience designing AI solutions and architecting distributed data systems

• Proficiency in programming and debugging with Python, C#, C++, and SQL

• Customer-centric mindset with ability to lead design thinking workshops

• Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision

• Experience building solutions using public cloud platforms such as AWS or Azure

• Preferred but not required: AWS and/or Azure certification

• No prior work experience required

• Winter Full-time (5 weeks) + Spring Part-time (12 weeks)
• Location: Remote
• Paid Internship
• Travel Opportunities
• Real-world project ownership
• Mentorship from experienced engineers
• Opportunity for return offers

About us:

The Group Securities is a well-established investment organization working in the finance industry since 1989, as a company devoted to the stock exchange. It was licensed once Qatar Stock Exchange was founded in 1997 and provides an array of investment services to more than 400,000 investors, with portfolios exceeding QR 100 billion. As brokerage firm, The Group Securities finances margin trading and operates as liquidity provider for the listed shares and ETFs. The company has a paid-up capital worth (QR 1 billion) and has been continuously posting profit since its inception. Besides being licensed by Qatar Financial Market Authority to exercise these activities, The Group Securities is also a member of Qatar Stock Exchange.

Responsibilities:

• Work on research involving big data, and integrated AI algorithms into the financial market.
• Develop systems/services for the firm/consumers that are powered with AI technologies.
• Work along with the team members to improve existing systems, increase the efficiency, or embed AI algorithms to existing processes.

Requirements:

• 2-4 years of experience working in AI, with a bachelor's degree in computer science or related fields.
• Very strong and deep understanding in Mathematics, Statistics, and the innerworkings of AI algorithms.
• Experience in Python, C++ or Java.
• Strong knowledge in handling big data, SQL, frameworks like Apache Spark.
• Experience in deploying AI services/systems onto a live environment.
• Knowledge in OOP, software development methodology and life cycle, and version controlling tools (Git).

About us:

The Group Securities is a well-established investment organization working in the finance industry since 1989, as a company devoted to the stock exchange. It was licensed once Qatar Stock Exchange was founded in 1997 and provides an array of investment services to more than 400,000 investors, with portfolios exceeding QR 100 billion. As brokerage firm, The Group Securities finances margin trading and operates as liquidity provider for the listed shares and ETFs. The company has a paid-up capital worth (QR 1 billion) and has been continuously posting profit since its inception. Besides being licensed by Qatar Financial Market Authority to exercise these activities, The Group Securities is also a member of Qatar Stock Exchange.

Responsibilities:

• Work on research involving big data, and integrated AI algorithms into the financial market.
• Develop systems/services for the firm/consumers that are powered with AI technologies.
• Work along with the team members to improve existing systems, increase the efficiency, or embed AI algorithms to existing processes.

Requirements:

• 2-4 years of experience working in AI, with a bachelor’s degree in computer science or related fields.
• Very strong and deep understanding in Mathematics, Statistics, and the innerworkings of AI algorithms.
• Experience in Python, C++ or Java.
• Strong knowledge in handling big data, SQL, frameworks like Apache Spark.
• Experience in deploying AI services/systems onto a live environment.
• Knowledge in OOP, software development methodology and life cycle, and version controlling tools (Git).

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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 bacheloru2019s and masteru2019s 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 studentsu2019 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 studentsu2019 skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qataru2019s National Vision 2030 a reality.

Our eligible employees enjoy competitive compensation and benefits, in accordance with applicable UDST policies. These benefits include:

• Generous academic annual leave
• Tax free salary
• Fully furnished upmarket accommodation (inclusive of utilities: water & electricity)
• Annual flights for spouse and 3 children (up to 18 years old)
• Relocation/Shipping allowance
• International health insurance
• In-house immigration services (to help you through the residency process)
• Full access to our recreational facilities
• Research and professional development support

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 collegeu2019s 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.

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 Masteru2019s degree in Data Science and Artificial Intelligence or closely related field from an internationally recognized university with an undergraduate degree from an accredited university.

Experience

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.

An active research agenda evidenced by high-quality publications in top tier journals and conference proceedings.

Demonstrated leadership in building engagement and partnership with the profession and industry.

Preferred Qualifications

Professional Certification in Data Science and Artificial Intelligence.

Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.

6+ years of employment experience as a practitioner/professional within the relevant discipline.

Experience in leadership and innovation in technology-based projects.

For Associate Professor

Experience

A minimum of 8 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3years of employment experience as a practitioner/professional within the relevant discipline.

A distinguished research record and international reputation evidenced by high quality publications in mainly top tier journals.

Excellent record of supervising research students.

Demonstrated leadership in building engagement and partnership with the profession and industry.

Preferred Qualifications

Professional Certification in Data Science and Artificial Intelligence.

Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.

10+ years of employment experience as a practitioner/professional within the relevant discipline.

Teaching experience in post-secondary, adult training, or industry training environment.

Experience in leadership and innovation in technology-based projects.

Other Required Skills:

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.

Commitment to applied and experiential learning as a pedagogy and a key feature of UDSTu2019s mandate.

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.

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.

Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own learning.

Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous professional development and life-long learning.

Effective oral and written communication skills.

Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and members of the community.

Ability to initiate applied research projects.

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, motivationletter, references, teaching dossiers and sample publications. It is the applicant’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.

The First National Applied University offering applied Bachelor’s degrees and Master’s degrees in addition to certificates and diplomas in various .