Explore the exciting realm of artificial intelligence (AI) jobs. These roles involve developing intelligent systems, machine learning models, and neural networks. Professionals in this field work on cutting-edge technologies, driving innovation across various sectors. Consider opportunities in AI research, data science, and AI engineering to shape the future of technology.43 Artificial Intelligence jobs in Qatar
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Data Science and Artificial Intelligence
Posted today
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Job Description
With more than 600 staff and over 6,000 students, UDST is the destination for top-notch 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 with incorporation of innovative technological interventions, to further enhance students’ skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar’s National Vision 2030 a reality.
**Your Commitment**
The primary role of the faculty members at the College of Computing and IT is to promote high-quality innovative teaching, applied research, and services. Besides, he/she should collaborate with the Head of Department, Dean, and the colleagues to achieve the college's mission, mentor junior colleagues, and teaching assistants, and support the department and the college with several administrative and academic services.
**Academic Rank**
Faculty members will be placed in the appropriate rank based on their education and experience. The broad criteria is provided below.
**Qualifications**:
**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**
- 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.
- A distinguished research record and international reputation evidenced by high quality publications in top tier journals.
- Excellent record of supervising high caliber research students.
- Demonstrated leadership in building engagement and partnerships 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 or Vocational Education) is preferred.
- 6+ 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.
**For Associate Professor**
**Experience**
- 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.
- A distinguished research record and international reputation evidenced by high quality publications in top tier journals.
- Excellent record of supervising high caliber research students.
- Demonstrated leadership in building engagement and partnerships 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 or 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**:
- Commitment to applied and experiential learning as a pedagogy and a key feature of UDST’s 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, sp
Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
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).
Artificial Intelligence Engineer
Posted 19 days ago
Job Viewed
Job Description
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).
Artificial Intelligence Engineer
Posted 22 days ago
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Job Description
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Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.
Responsibilities:
- Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
- Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
- Oversee the design and implementation of innovative data science projects that drive value for the organization
- Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
- Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
- Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
- Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
- Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
- Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
- Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
- Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
- Excellent project management skills and ability to prioritize tasks in a fast-paced environment
- Strong analytical and problem-solving skills with attention to detail
- Exceptional communication skills, both verbal and written, in English and Arabic
- Proven capability to drive collaboration across teams and influence senior stakeholders
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
Data Science Manager
Posted 18 days ago
Job Viewed
Job Description
SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.
Responsibilities:
- Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
- Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
- Oversee the design and implementation of innovative data science projects that drive value for the organization
- Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
- Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
- Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
- Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
- Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
- Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
- Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
- Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
- Excellent project management skills and ability to prioritize tasks in a fast-paced environment
- Strong analytical and problem-solving skills with attention to detail
- Exceptional communication skills, both verbal and written, in English and Arabic
- Proven capability to drive collaboration across teams and influence senior stakeholders
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
Data Science Manager
Posted 17 days ago
Job Viewed
Job Description
Responsibilities:
Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes Oversee the design and implementation of innovative data science projects that drive value for the organization Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively Excellent project management skills and ability to prioritize tasks in a fast-paced environment Strong analytical and problem-solving skills with attention to detail Exceptional communication skills, both verbal and written, in English and Arabic Proven capability to drive collaboration across teams and influence senior stakeholders
Preferable Certificates:
Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer
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Senior Data Science Manager
Posted 2 days ago
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Job Description
SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.
Responsibilities:
- Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.
- Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.
- Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.
- Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
- Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
- Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies.
- Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
- Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.
Senior Data Science Manager
Posted 18 days ago
Job Viewed
Job Description
SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.
Responsibilities:
- Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.
- Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.
- Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.
- Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
- Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
- Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team’s methodologies.
- Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
- Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.
Senior Data Science Manager
Posted 17 days ago
Job Viewed
Job Description
Responsibilities: Develop and implement the overall data science vision, strategy, and framework to align with organizational goals. Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning. Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights. Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency. Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges. Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team’s methodologies. Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth. Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.
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