22 Ml Engineer jobs in Qatar

The Sr. AI/ML Engineer supports the development and implementation of AI/ML models and solutions to drive business innovation and efficiency. This role involves developing and validating machine learning models, deep learning algorithms, and statistical analyses, collaborating with cross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Support the development and implementationof AI/ML projects, including the design and development of models andalgorithms.
• Collaborate with stakeholders to understandbusiness requirements and translate them into AI/ML solutions.
• Develop and validate machine learningmodels, deep learning algorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevanceof AI/ML outputs.
• Stay updated with the latest advancementsin AI/ML technologies and best practices, applying them to enhance solutions.
• Mentor and provide guidance to junior AI/MLengineers and other team members.
• Ensure compliance with data governance,security, and regulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports anddocumentation to senior management and stakeholders.
• Participate in project planning andcontribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job asassigned by the Principal AI/ML Engineer or senior management.
  

• Bachelor’s degree in AI/ML Engineering,Computer Science, or a related field
• Relevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning –Specialty) are preferred
• Minimum of 5 years of experience in AI/MLengineering or related fields
• Experience in developing and implementingAI/ML solutions for AI or technology-focused products
• Strong programming skills in languages suchas Python
• Proficiency in AI/ML tools and frameworks(e.g., TensorFlow, PyTorch)
• Excellent problem-solving and analyticalskills
• Strong communication and interpersonalskills
• Attention to detail and commitment toquality
• In-depth understanding of AI/ML principles,machine learning algorithms, and statistical analysis
• Familiarity with AI/ML model deployment andmonitoring
• Knowledge of data governance, security, andregulatory standards
• Ability to manage multiple tasks andprioritize effectively
• Strong attention to detail and commitmentto delivering high-quality work
• Ability to work independently and as partof a team
• Programming languages (e.g., Python)
• AI/ML tools and frameworks (e.g.,TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau,Power BI)
• Collaboration and communication tools(e.g., Slack, Microsoft Teams)
• Data management systems (e.g., SQL, NoSQLdatabases)

The Principal AI/ML Engineer develops and implements AI/ML models and solutions to drive business innovation and efficiency. This role involves leading AI/ML projects, collaborating with cross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Lead the development and implementation of AI/ML projects,including the design and development of models and algorithms.
• Collaborate with stakeholders to understand businessrequirements and translate them into AI/ML solutions.
• Develop and validate machine learning models, deep learningalgorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevance of AI/MLoutputs.
• Stay updated with the latest advancements in AI/MLtechnologies and best practices, applying them to enhance solutions.
• Mentor and provide guidance to junior AI/ML engineers andother team members.
• Ensure compliance with data governance, security, andregulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports and documentation tosenior management and stakeholders.
• Participate in project planning and contribute to thedevelopment of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by theHead of Data & AI Engineering or senior management.
  

• Bachelor’s degree in AI/ML Engineering, Computer Science, ora related field
• Relevant certifications (e.g., Google Cloud ProfessionalMachine Learning Engineer, AWS Certified Machine Learning – Specialty) arepreferred
• Minimum of 8 years of experience in AI/ML engineering orrelated fields
• Experience in developing and implementing AI/ML solutionsfor AI or technology-focused products
• Strong programming skills in languages such as Python, R, orJava
• Proficiency in AI/ML tools and frameworks (e.g., TensorFlow,PyTorch)
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills
• Attention to detail and commitment to quality
• In-depth understanding of AI/ML principles, machine learningalgorithms, and statistical analysis
• Familiarity with AI/ML model deployment and monitoring
• Knowledge of data governance, security, and regulatorystandards
• Ability to manage multiple tasks and prioritize effectively
• Strong attention to detail and commitment to deliveringhigh-quality work
• Ability to work independently and as part of a team
• Programming languages (e.g., Python, R, Java)
• AI/ML tools and frameworks (e.g., TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau, Power BI)
• Collaboration and communication tools (e.g., Slack,Microsoft Teams)
• Data management systems (e.g., SQL, NoSQL databases)
  
  

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.

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