1 762 Engineer I jobs in Qatar

We are Qatar Insurance Company (QIC), the leading insurance provider in 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 become the first Digital Ecosystem in the region by combining insurance and non-insurance services in one 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 DevOps Engineer to join our expanding team to support our infrastructure, including CRM and cluster systems.

• CI/CD: Designing and implementing CI/CD pipelines for automated deployment of applications and updates on GCP (GKE)
• Collaboration with Development Teams: Working with developers to improve the deployment and monitoring processes of applications in the cloud
• Process Automation: Creating and implementing automated processes for deployment and management of infrastructure using tools like Terraform and Ansible
• Configuration Management: Setting up and maintaining configuration management processes to ensure infrastructure stability and security, including automatic application of changes and versioning of infrastructure
• Infrastructure Development and Support: Designing, deploying, and maintaining cloud infrastructure in GCP, including resource management and configuration
• Release Engineering: Managing build and release processes, including creating and optimizing workflows for releases, managing dependencies, and ensuring release stability at all stage

• Experience with GCP: Hands-on experience with core Google Cloud services, including Compute Engine, GKE, IAM, Cloud Storage, VPC, Cloud Functions, and others
• Containerization Knowledge: Experience with Docker and Kubernetes
• Automation Tools: Experience with infrastructure management tools such as Terraform and Ansible
• CI/CD Experience: Experience in setting up and maintaining CI/CD processes using tools like Jenkins, GitLab CI, CircleCI, or others
• Monitoring and Logging Knowledge: Experience with monitoring and logging tools such as Prometheus, Grafana, Kibana
• Programming: Experience in programming with one or more languages such as Python, Go, Bash, or others
• Good Communication Skills: Ability to effectively collaborate in interdisciplinary teams and communicate with developers, project managers, and other stakeholders

• Long-term service agreement contract with QIC
• We are diverse – our digital nomads work remotely from 25 different countries
• Payment in US dollars monthly to your bank account using SWIFT
• Full-time remote, work schedule: 5 days per week, Sunday to Thursday
• Vacation policy: Qatar Holiday Calendar, 20 workdays of vacation, and 10 sick days
• Performance reviews are conducted twice a year, with the possibility of a raise in March and September
• Potential opportunity to apply for a Qatar ID and relocation to Doha, Qatar

Master communication. Learn English, Arabic—or any second language of your choice.

Wellbeing isn’t optional. Get access to services like Yasno—with 70% covered—and recharge with 3 extra Mental Health Days each year.

We’ll guide you through the complexity of local and international tax rules.

Your growth is our shared goal. We’ll support it with $600/year for additional courses, plus internal workshops.

Join our Strava club for weekly motivation, coaching, and marathon support.

Get paid in USD, EUR, or AED—whichever fits your setup best.

Enjoy generous vacation time, paid sick leave, and bonus days for years of service.

We are open to working with new stacks and technologies that can help us build the best solutions on the market

Chemical Engineer

We are a leading chemical company based in Ar-Ruwais and we are searching for a skilled Chemical Engineer to join our team. As a Chemical Engineer, you will be responsible for designing, developing, and implementing chemical processes to improve our products and operations.

Key responsibilities include:

- Conducting research and analysis to develop new chemical processes or improve existing ones
- Collaborating with other departments to identify areas for process improvement
- Designing experiments and conducting tests to evaluate the effectiveness of new processes
- Monitoring production processes and making adjustments as needed
- Ensuring compliance with safety and environmental regulations
- Troubleshooting any issues that arise during production
- Providing technical support to production teams
- Developing cost-effective solutions to increase efficiency and reduce waste
- Keeping up-to-date with advancements in chemical engineering technology

Requirements:

- Bachelor's degree in Chemical Engineering or related field
- Minimum of 2 years of experience in a similar role
- Strong analytical and problem-solving skills
- Knowledge of chemical processes and equipment
- Familiarity with safety regulations and procedures in the chemical industry
- Ability to work independently as well as in a team environment
- Excellent communication skills, both written and verbal

This is a full-time position with a salary of 1800$ per month. The job is open to Indian nationals who are proficient in English. This role does not require prior experience, making it suitable for recent graduates or those looking for a career change. We provide accommodation for employees who need it. This position is suitable for both men and women interested in the field of chemical engineering. Join our dynamic team today!

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Portugal (Porto)

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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.

time left to apply End Date: August 29, 2025 (3 days left to apply)

job requisition id 2023617

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.

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.

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 .

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.

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

Job Function

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

Job Function

Position Type

Full Time/Part 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.

• Click here to view a listing of employee benefits

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .

• Statement of Assurance

Electrical Engineer in Doha, Qatar


Electrical Engineer

We are looking for a highly motivated and experienced Electrical Engineer to join our team in Doha. The successful candidate will be responsible for the design, development and installation of electrical systems and networks. They will also be responsible for providing technical support to customers, researching new technologies and conducting tests.

The ideal candidate should have a degree in Electrical Engineering or related field, with at least 5 years of experience in the same field. They should have excellent problem solving skills, good knowledge of engineering principles and practices, as well as outstanding communication skills.

Responsibilities:
• Designing electrical systems and networks
• Installing electrical components according to specifications
• Carrying out tests to ensure systems are working properly
• Providing technical support to customers
• Researching new technologies to improve existing solutions
• Writing reports about the progress of projects
• Monitoring maintenance activities for optimal performance

Requirements:
• Degree in Electrical Engineering or related field
• At least 5 years of experience in the same field
• Excellent problem solving skills
• Good knowledge of engineering principles and practices
• Outstanding communication skills

We offer a competitive salary of 1300, as well as the opportunity to work with an innovative team that is passionate about its work. We are also open to considering immigrants for this role.

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