34 Machine Learning jobs in Doha

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.

Overview

Postdoctoral Research Position – Applied Machine Learning in Systems at Carnegie Mellon University in Qatar. The Networking Systems Lab at CMU Qatar invites applications for a full-time postdoctoral research position in the area of applied machine learning in systems. This position is supported by a research grant awarded by the Qatar National Research Fund (QNRF) and will be jointly supervised by Prof. Khaled Harras and Prof. Moustafa Youssef. The successful candidate will be expected to relocate to CMU’s Qatar campus in Doha prior to January 1st.

Standard US-based postdocs are matched in addition to allowances related to transportation, housing, and schooling.

For more information or to apply, please visit the following URL:

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