61 AI Engineer jobs in Qatar

We are Qatar Insurance Company (QIC), the leading insurance provider in the GCC. With a history dating back to 1964, we have established ourselves as a pioneer in the insurance industry, offering innovative solutions to meet the diverse needs of individuals and businesses.

Our vision is to make QIC group the first Digital Ecosystem in the region by combining insurance and non-insurance services on a single platform. Through our digital platforms, such as qic.online and the QIC app, we empower customers to manage their needs anytime and anywhere.

Our employees have been featured in Forbes 30 under 30, teach at online universities, serve on program committees of major IT conferences, and have previously worked at Yandex, Tinkoff, Avito, Ozon, and other leading tech companies.

We are looking for an experienced AI/ML Engineer to join our team and help design, build, and scale intelligent systems that power real business solutions. You will work across LLMs, Computer Vision, Speech AI, and AI Infrastructure, embedding advanced AI into core business processes and client-facing products.

• Build chatbots, RAG systems, and automated document processing pipelines involving LLM development.
• Implement OCR for insurance documents, damage assessment from photos, and identity verification using Computer Vision techniques.
• Develop transcription, voice analytics, and multilingual support solutions in Speech AI.
• Deploy and monitor AI models, and integrate them with cloud AI services as part of AI Infrastructure.
• Embed AI into business workflows, create AI APIs, and design user-friendly AI-powered experiences for products.

• At least 3 years of experience in AI/ML engineering with a focus on production systems.
• Strong Python skills (advanced) and experience with FastAPI/Flask for API development.
• Hands-on experience with LLM tools such as OpenAI API, LangChain, Hugging Face Transformers.
• Proficiency in deep learning frameworks like PyTorch or TensorFlow for fine-tuning models.
• Experience with Docker & Kubernetes for containerization and orchestration of AI applications.

Core AI/ML Competencies

• Prompt Engineering: designing effective prompts for LLMs.
• Fine-tuning: adapting pre-trained models to specific business tasks.
• Retrieval-Augmented Generation (RAG): working with vector databases and embeddings.
• Computer Vision Pipelines: from preprocessing to inference.
• Multimodal AI: building solutions that combine text and images.

• Long-term service agreement with QIC.
• A diverse remote team working from 25 different countries.
• Monthly salary paid in US dollars via SWIFT bank transfer.
• Full-time remote work, Sunday to Thursday, 5 days per week.
• Vacation policy aligned with Qatar holidays, including 20 workdays of vacation and 10 sick days.
• Biannual performance reviews with potential raises in March and September.
• Potential opportunity for Qatar ID and relocation to Doha, Qatar.

Quality healthcare with up to $1,500 dental coverage, regardless of your location.

• Language classes to improve communication skills in English, Arabic, or other languages.
• Mental health support services, including Yasno, with 70% coverage, plus 3 mental health days annually.
• Guidance on local and international tax regulations.
• $600/year support for further courses and internal workshops.
• Join our QIC running club for motivation, coaching, and marathon support.
• Salary payouts in USD, EUR, or AED, based on your preference.
• Extra paid leave, including vacation days, sick leave, and bonus days for longevity.

We are open to adopting new stacks and technologies to build market-leading solutions.

We are hiring AI Engineer in our Qatar campus.

The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus' academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.

Key Responsibilities

AI Development, Support & Deployment (50%)

Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.

Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.

Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.

Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.

Leverage experience with AI/ML solutions in Azure, AWS, or Google Cloud environments to support scalable deployments.

Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines

Training, Stakeholder Engagement & Documentation (30%)

Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.

Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.

Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.

Research, Innovation & Technology Evaluation (10%)

Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.

Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.

Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.

Collaboration (10%)

Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.

Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university's main campus.

Minimum Qualifications

Education:

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field is required.

Master's degree preferred.

Experience:

3–5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.

Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.

Experience deploying AI/ML solutions in Azure, AWS, or Google Cloud environments.

Skills & Competencies:

Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.

Excellent presentation, documentation, and training facilitation skills.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible

employees enjoy a wide array of benefits including

comprehensive medical, prescription, dental, and vision insurance

as well as a generous

retirement savings program

with employer contributions. Unlock your potential with

tuition benefits

, take well-deserved breaks with ample

paid time off

and observed

holidays

, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our

Family Concierge Team

to help navigate childcare needs,

fitness center access

, and much more

For a comprehensive overview of the benefits available, explore our

Benefits page

.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization? Apply today

Location

Doha, Qatar

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Fixed Term (Fixed Term)

Full Time/Part time

Full time

Pay Basis

More Information:

• Please visit "

Why Carnegie Mellon

" to learn more about becoming part of an institution inspiring innovations that change the world.
- Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

We are seeking a highly skilled and motivated AI Engineer (Software &hardware ) to join our growing engineering team. As an AI Engineer, you will be responsible for designing, developing, and deploying intelligent systems and machine learning models to solve complex problems across various domains. You will collaborate closely with software engineers, data scientists, and product teams to integrate AI capabilities into scalable software solutions.

Key Responsibilities:

• Design, build, and deploy machine learning models and AI algorithms.

• Develop scalable and production-ready AI solutions for real-world applications.

• Collaborate with cross-functional teams (data engineering, product, software development) to define technical requirements.

• Integrate AI models into software products and services using appropriate APIs and frameworks.

• Optimize model performance, reliability, and accuracy through testing and iteration.

• Stay up-to-date with the latest trends and advancements in AI, ML, NLP, and computer vision.

• Work with large-scale datasets: data cleaning, feature engineering, and preprocessing.

• Monitor and maintain AI systems in production, ensuring robustness and performance.

⸻

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Strong programming skills in Python (preferred), Java, or C++.

• Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Experience with model deployment tools (e.g., Docker, Kubernetes, Flask, FastAPI).

• Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML workflows.

• Understanding of software engineering best practices (Git, CI/CD, unit testing).

• Strong problem-solving and analytical thinking abilities.

⸻

Preferred Qualifications:

• Experience in deep learning, computer vision, NLP, or reinforcement learning.

• Experience with MLOps tools and practices (MLflow, Kubeflow, etc.).

• Prior experience deploying AI models in production environments.

• Knowledge of data warehousing, big data technologies (Spark, Hadoop).

• Contributions to open-source AI/ML projects.

Benefits:

• Competitive salary and performance bonuses

• Health, dental, and vision insurance

• Generous paid time off and holidays

• Remote work options and flexible hours

• Professional development and training opportunities

Department: Engineering / AI & Machine Learning

Job Type: Full-Time

Salary depends on qualifications & experience (Range 3500 to 5000)

Location: DOHA

Job Type: Full-time

Pay: QAR3, QAR5,000.00 per month

Join to apply for the Sr. AI Engineer role at Vistas Global

The Sr. AI Engineer will play a lead role in developing and deploying artificial intelligence and machine learning solutions across enterprise systems. This position focuses on building smart algorithms that solve real business challenges from automation and optimization to predictive modelling. The engineer will collaborate with data scientists, developers, and business teams to integrate AI into practical, scalable tools that support innovation and efficiency.

• Model Design: Build and deploy AI and machine learning models for use in automation, classification, and predictive analytics
• Data Preparation: Clean, preprocess, and manage large datasets for training and testing models
• Collaboration: Work with cross-functional teams to understand business needs and deliver AI-powered solutions
• Research & Innovation: Stay updated on the latest developments in AI and apply new techniques when relevant
• Deployment & Monitoring: Support the rollout of models into production and monitor performance for improvement
• Documentation: Maintain clear documentation of AI workflows, tools, and model behaviour

• Strong background in machine learning, deep learning, and neural networks
• Proficient in Python, TensorFlow, Keras, PyTorch, and related frameworks
• Experience with data science libraries (e.g., NumPy, Pandas, Scikit-learn)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker/Kubernetes)
• Strong analytical thinking and the ability to present technical concepts to non-technical teams
• Experience with data pipelines, model evaluation, and A/B testing

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• At least 5 years of experience in AI engineering, machine learning, or applied data science
• Experience deploying production-ready AI models is highly preferred
• Applicants currently based in Qatar with a valid QID are encouraged to apply

Job ID: -114VG

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

Join to apply for the Sr. AI Engineer role at Vistas Global

The Sr. AI Engineer will play a lead role in developing and deploying artificial intelligence and machine learning solutions across enterprise systems. This position focuses on building smart algorithms that solve real business challenges from automation and optimization to predictive modelling. The engineer will collaborate with data scientists, developers, and business teams to integrate AI into practical, scalable tools that support innovation and efficiency.

• Model Design: Build and deploy AI and machine learning models for use in automation, classification, and predictive analytics
• Data Preparation: Clean, preprocess, and manage large datasets for training and testing models
• Collaboration: Work with cross-functional teams to understand business needs and deliver AI-powered solutions
• Research & Innovation: Stay updated on the latest developments in AI and apply new techniques when relevant
• Deployment & Monitoring: Support the rollout of models into production and monitor performance for improvement
• Documentation: Maintain clear documentation of AI workflows, tools, and model behaviour

• Strong background in machine learning, deep learning, and neural networks
• Proficient in Python, TensorFlow, Keras, PyTorch, and related frameworks
• Experience with data science libraries (e.g., NumPy, Pandas, Scikit-learn)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker/Kubernetes)
• Strong analytical thinking and the ability to present technical concepts to non-technical teams
• Experience with data pipelines, model evaluation, and A/B testing

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• At least 5 years of experience in AI engineering, machine learning, or applied data science
• Experience deploying production-ready AI models is highly preferred
• Applicants currently based in Qatar with a valid QID are encouraged to apply

Job ID: VG

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

Nair Systems is currently looking for Azure AI Engineer for Qatar

Skill Set:

Should have experience in Databricks, AI foundry, machine learning, AI speech, Cosmos DB, API management, OpenAI integration, Azure Kubernetes service.

Should have experience in Infrastructure Security and the candidate should have past experience on Infrastructure Support

should be Azure AI Certified

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest

Nair Systems is currently looking Azure AI Engineer for our Qatar operations with the following terms & conditions.

Certification Requirement:

· Must be Microsoft Certified: Azure AI Engineer Associate

Experience Requirement:

· Prior experience in Infrastructure Support with a strong focus on Infrastructure Security

· Hands-on experience working with infrastructure channels

Required Skills & Expertise:

· Azure AI Engineering

· Databricks

· Azure AI Foundry

· Machine Learning

· AI Speech Services

· Cosmos DB

· API Management

· OpenAI Integration

· Azure Kubernetes Service (AKS)

Joining time frame: Maximum 30 days

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest