7 Image Analysis jobs in Qatar

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

Artifical Intelligence & Machine Learning Engineer

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.
  

Requirements Required Qualifications:

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.

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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:

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.

Requirements Required Qualifications:

• 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).

Desirable Skills:

• 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.

#J-18808-Ljbffr

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:

Model Development & Deployment

Design, train, evaluate, and deploy machine learning and deep learning models. Build and maintain scalable AI solutions for real-time or batch processing systems. Optimize model performance, including accuracy, latency, and resource consumption.

Data Engineering & Processing

Collaborate with data engineers and analysts to source, clean, and transform data. Apply advanced statistical and data mining techniques to extract meaningful patterns.

Research & Innovation

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.

Collaboration & Communication

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.

Requirements

Required Qualifications:

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). Desirable Skills:

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.

#J-18808-Ljbffr

Oryx Universal College in partnership with Liverpool John Moores University | Full time Artifical Intelligence & Machine Learning Engineer

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.

Requirements

Required Qualifications: 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.

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BAE Systems Strategic Aerospace Services WLL | Full time

• Business Area Name: PRIMARY HEALTH CARE CORPORATION (PHCC)
• Job Type: Full time
• Province: Ad Dawhah
• Country: Qatar
• Postal Code:

Job Description

• Managing the established directorate learning and development dashboard, metadata presented, quality and integrity of data to ensure timely reports are presented for the management team.
• Working with experts and teams across the organization to ensure quality data is collected, recorded, and reported in a timely and informative way for managers.
• Managing initiatives that support learning and development data quality, including skills development, communications, and guidelines for educators, facilitators, experts, and coordinators.
• Present performance reports, audits, and presentations to management team, with recommendations for quality improvement and efficient knowledge management processes.
• Establish statistical models that provide richer knowledge and insights to performance, gaps, and patterns for workforce development plans and annual learning and development planning cycle.
• Develop data visualization models to support managers in their decision-making and the strategy planning cycle.
• Perform data modeling and reporting for the management team from education and health sectors.
• Analyze large and diverse datasets from across the organization for L&D and those supported externally through external partner stakeholder groups.
• Analyze existing tools and databases and provide software solution recommendations.
• Write comprehensive reports for directorate management team.
• Developing Learning Management System tracking, management, and reporting module, with advanced programming skills to include development of data management processes supported by (but not limited to) programming languages, such as SQL, Oracle, and Python.
• Collecting and interpreting workforce learning and development data from data management tools and systems across PHCC.
• Analyzing results with statistical evidence to support KPIs, L&D performance, and quality.
• Producing data reports and data models for SMT to support decisions, strategy updates, and performance, with data visualization, development of report programs, presentation, maintenance of data integrity processes.
• Identifying patterns and trends in datasets through the use of program models, making recommendations for the management team on quality improvement or efficiency measures required.
• Working alongside teams to establish directorate needs for data management, and developing teams in data management, presentation, and reporting.
• Developing data management and knowledge management skills for team members and those supporting the learning and development cycle.
• Defining enhanced data collection and analysis processes, including management of data management system, directorate dashboard, balanced scorecard, and reporting cycle.
• Benchmarking effective knowledge management models, practice, and tools for health care workforce development.
• Supporting enhanced PHCC Learning Management System development and performance reporting updates for PHCC balanced scorecard.
• Providing technical expertise in data storage structures, data mining, and data cleansing.
• Development of knowledge management standards and models for directorate plans, PHCC Corporate Strategic Plan, delivery, and outcomes.
• Assessment and evaluation of newly introduced initiatives for quality improvement cycle and further development of knowledge – data management processes and models.
• The incumbent will undertake any such appropriate duties or responsibilities as directed.
• Ensure high standards of confidentiality to safeguard any sensitive information.

Requirements

• Bachelor’s degree in information technology, computer science, statistics, and/or mathematics, economics, or information management. Post Graduate Degree is preferred.
• Professional certification to include IT, programming or coding, statistical software, knowledge management, data management and analytics, education management, healthcare management or general management.
• 5 years’ experience in a specialist data analyst role working in the education or health sector.
• Other professional experience being considered for this role as an essential requisite includes:
• Management of health care data or business intelligence experience.
• IT professional certification, programming and statistical software, and data management.
• Developing data management, analysis, and reporting skills for team members.
• Performance reporting for strategy implementation, audit progress, standards compliance and governance, and decision-making processes supporting middle management teams.
• Strong verbal, presentation, and written communication skills.
• An analytical mind for problem-solving, making recommendations for performance and quality improvements.
• Attention to detail; interpreting data for meaningful action plans supporting directorate KPIs, with accuracy and attention to detail.
• Methodical and logical approach to problem solving and recommendations within context of business plan implementation and improvement to knowledge management practice.
• Strong interpersonal skills and teamwork across immediate team and stakeholders across PHCC.
• Risk and change management with impact assessment, including adoption of new innovative solutions to data management and knowledge.
• Bilingual in Arabic and English language (preference as data sets and management will include interpreting data in both languages, as well as business communications).

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BAE Systems Strategic Aerospace Services WLL | Full time Business Area Name: PRIMARY HEALTH CARE CORPORATION (PHCC) Job Type: Full time Province: Ad Dawhah Country: Qatar Postal Code: Job Description

Managing the established directorate learning and development dashboard, metadata presented, quality and integrity of data to ensure timely reports are presented for the management team. Working with experts and teams across the organization to ensure quality data is collected, recorded, and reported in a timely and informative way for managers. Managing initiatives that support learning and development data quality, including skills development, communications, and guidelines for educators, facilitators, experts, and coordinators. Present performance reports, audits, and presentations to management team, with recommendations for quality improvement and efficient knowledge management processes. Establish statistical models that provide richer knowledge and insights to performance, gaps, and patterns for workforce development plans and annual learning and development planning cycle. Develop data visualization models to support managers in their decision-making and the strategy planning cycle. Perform data modeling and reporting for the management team from education and health sectors. Analyze large and diverse datasets from across the organization for L&D and those supported externally through external partner stakeholder groups. Analyze existing tools and databases and provide software solution recommendations. Write comprehensive reports for directorate management team. Developing Learning Management System tracking, management, and reporting module, with advanced programming skills to include development of data management processes supported by (but not limited to) programming languages, such as SQL, Oracle, and Python. Collecting and interpreting workforce learning and development data from data management tools and systems across PHCC. Analyzing results with statistical evidence to support KPIs, L&D performance, and quality. Producing data reports and data models for SMT to support decisions, strategy updates, and performance, with data visualization, development of report programs, presentation, maintenance of data integrity processes. Identifying patterns and trends in datasets through the use of program models, making recommendations for the management team on quality improvement or efficiency measures required. Working alongside teams to establish directorate needs for data management, and developing teams in data management, presentation, and reporting. Developing data management and knowledge management skills for team members and those supporting the learning and development cycle. Defining enhanced data collection and analysis processes, including management of data management system, directorate dashboard, balanced scorecard, and reporting cycle. Benchmarking effective knowledge management models, practice, and tools for health care workforce development. Supporting enhanced PHCC Learning Management System development and performance reporting updates for PHCC balanced scorecard. Providing technical expertise in data storage structures, data mining, and data cleansing. Development of knowledge management standards and models for directorate plans, PHCC Corporate Strategic Plan, delivery, and outcomes. Assessment and evaluation of newly introduced initiatives for quality improvement cycle and further development of knowledge – data management processes and models. The incumbent will undertake any such appropriate duties or responsibilities as directed. Ensure high standards of confidentiality to safeguard any sensitive information. Requirements

Bachelor’s degree in information technology, computer science, statistics, and/or mathematics, economics, or information management. Post Graduate Degree is preferred. Professional certification to include IT, programming or coding, statistical software, knowledge management, data management and analytics, education management, healthcare management or general management. 5 years’ experience in a specialist data analyst role working in the education or health sector. Other professional experience being considered for this role as an essential requisite includes: Management of health care data or business intelligence experience. IT professional certification, programming and statistical software, and data management. Developing data management, analysis, and reporting skills for team members. Performance reporting for strategy implementation, audit progress, standards compliance and governance, and decision-making processes supporting middle management teams. Strong verbal, presentation, and written communication skills. An analytical mind for problem-solving, making recommendations for performance and quality improvements. Attention to detail; interpreting data for meaningful action plans supporting directorate KPIs, with accuracy and attention to detail. Methodical and logical approach to problem solving and recommendations within context of business plan implementation and improvement to knowledge management practice. Strong interpersonal skills and teamwork across immediate team and stakeholders across PHCC. Risk and change management with impact assessment, including adoption of new innovative solutions to data management and knowledge. Bilingual in Arabic and English language (preference as data sets and management will include interpreting data in both languages, as well as business communications).

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