21 Generative AI jobs in Qatar

Direct message the job poster from UMATR

Senior AI Engineer - Fintech Start-Up

We’ve partnered with a fast-growing fintech start-up in Doha, building AI-powered solutions to transform financial services across the region. As they scale, we’re looking for a Senior AI Engineer to join our their tech team and drive the development of intelligent, customer-first products.

What Youu2019ll Get:

• QAR 35k/month
• VISA & Medical for you + your family
• ESOP

What Youu2019ll Do:

• Design, fine-tune, and deploy LLMs and multimodal GenAI models for use cases in personalized financial advice, fraud detection, and customer engagement
• Work closely with data engineers and product teams to integrate AI into cloud-native fintech platforms
• Implement MLOps best practices for model lifecycle management, monitoring, and scalability
• Experiment with prompt engineering, retrieval-augmented generation (RAG) , and domain-specific knowledge integration
• Apply the latest research in transformers, embeddings, and generative pipelines to real-world fintech challenges

What We’re Looking For:

• 5+ years in machine learning, NLP, and deep learning (TensorFlow / PyTorch)
• Experience with Generative AI models (LLMs, diffusion models, or multimodal AI)
• Skilled in Python and familiar with frameworks like LangChain, Hugging Face, or Vertex AI
• Solid understanding of MLOps tools (Airflow, MLflow, Docker, Kubernetes)
• Familiarity with cloud platforms (GCP, AWS, or Azure) - GCP/Vertex AI is a plus
• Ability to work in a fast-paced start-up environment, contributing across research, engineering, and product
• Bonus: Experience in fintech, financial modeling, or regulatory tech (RegTech)

• Mid-Senior level

• Full-time

• Information Technology

• Staffing and Recruiting

• Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
• Commitment to Diversity and Inclusion ; we are an organisation actively committed to diversity and inclusion across our business with employee networks committed to giving all employees a voice
• Global connections : join experts around the world who are at the leading edge of our industry, shaping the standards of our profession

• Research current AI applications in asset integrity (e.g., predictive modeling, anomaly detection).
• Identify inefficiencies in existing workflows and propose AI-based solutions.
• Interview team members to understand data availability and operational challenges.
• Develop 2-3 AI use cases with feasibility assessments.

• A research report or white paper.
• A presentation summarizing findings and recommendations.
• A simple prototype or mock-up (optional).

• Bachelor's degree (or final year student) in Engineering, Computer Science, Data Science, or a related field.
• Strong analytical and research skills.
• Basic understanding of AI/ML concepts and tools.
• Ability to communicate technical findings clearly.

• Familiarity with Python, MATLAB, or other data analysis tools.
• Exposure to asset integrity or reliability engineering concepts.
• Experience with data visualization.

• Research and innovation in AI applications.
• Technical writing and presentation skills.
• Exposure to real-world engineering challenges.

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.

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