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assistant director ai security architect

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ai strategic projects lead, international public sector

air traffic operations intelligence manager Jobs in Doha

air traffic operations intelligence manager

artificial intelligence intern

GE Aerospace

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  Job Description Summary
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  Job Description
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  Company Overview
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 Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
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  Site Overview
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 We serve regional customers with our "Two sites, one team" approach, operating from OWS Doha and Dubai. We have exciting growth plans for the upcoming years and are committed to excellence in everything we do. Our team is diverse, with more than 20 different nationalities, and we celebrate different perspectives and backgrounds, which contribute to innovative solutions and a dynamic workplace. Join us and be part of a team that is dedicated to making a difference in the aerospace industry.
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  Role Overview
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 Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
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 At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
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 What You will Do
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   Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
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   Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
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   Build and present product architectures, write technical code, and demo applications to stakeholders.
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   Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
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   Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
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   Use your strengths to support team members and build cross-functional relationships across the company.
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   Work to ship solutions to production that meet business needs and drive impact.
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 Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
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  Required Qualifications
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   Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
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   Minimum 3.7 cumulative GPA off a 4.0 scale without rounding
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   Strong academic performance in Computer Science or other STEM disciplines
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   Experience designing AI solutions and architecting distributed data systems
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   Proficiency in programming and debugging with Python, C#, C++, and SQL
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   Customer-centric mindset with ability to lead design thinking workshops
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   Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision
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   Experience building solutions using public cloud platforms such as AWS or Azure
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   Preferred but not required: AWS and/or Azure certification
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   No prior work experience required
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  About The Internship
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   Winter Full-time (5 weeks) + Spring Part-time (12 weeks)
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   Location: Remote
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   Paid Internship
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   Travel Opportunities
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   Real-world project ownership
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   Mentorship from experienced engineers
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   Opportunity for return offers
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 At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
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    Additional Information
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  Relocation Assistance Provided:
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Artificial Intelligence Intern

Wood

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  Job Description
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  Remarkable people, trusted by clients to design and advance the world
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 Wood is currently hiring for a AI Research Intern to support future growth in our expanding business
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 This is a 3 month Internship based in Qatar.
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  Responsibilities
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 AI Research Intern will Join Wood PLC&rsquo;s Asset Life Optimisation consulting team to dive into the intersection of artificial intelligence and asset integrity. This internship focuses on exploring how AI and machine learning can enhance service delivery in corrosion, vibration, and integrity management.
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  Designing the future. Transforming the world
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 Reflecting The Market Focus For The Office In Both Brownfield And Green Field Opportunities, Multi-skilled Personnel Are Sought, In Particular Those With Experience In
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 Onshore Oil and Gas
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 Offshore Oil and Gas
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  What We Can Offer
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   Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
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   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
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   Global connections: join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
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  Key Responsibilities
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   Research current AI applications in asset integrity (e.g., predictive modeling, anomaly detection).
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   Identify inefficiencies in existing workflows and propose AI-based solutions.
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   Interview team members to understand data availability and operational challenges.
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   Develop 2&ndash;3 AI use cases with feasibility assessments.
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  Deliverables
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   A research report or white paper.
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   A presentation summarizing findings and recommendations.
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   A simple prototype or mock-up (optional).
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  Qualifications
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  What makes you remarkable?
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 At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world&rsquo;s most critical challenges.
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  Experience
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   Bachelor&rsquo;s degree (or final year student) in Engineering, Computer Science, Data Science, or a related field.
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   Strong analytical and research skills.
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   Basic understanding of AI/ML concepts and tools.
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   Ability to communicate technical findings clearly.
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  Preferred Qualifications
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   Familiarity with Python, MATLAB, or other data analysis tools.
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   Exposure to asset integrity or reliability engineering concepts.
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   Experience with data visualization.
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  </li>
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  Learning Opportunities
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   Research and innovation in AI applications.
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   Technical writing and presentation skills.
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   Exposure to real-world engineering challenges.
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  About Us
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 Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com
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  Diversity Statement
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 We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
</div>


AI Research Intern

Carnegie Mellon University

<div><div><div><div><div>Carnegie Mellon University: Qatar: Q-Information Systems
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Doha, QA
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Oct 01, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Carnegie Mellon University (CMU) in Qatar seeks applicants for multiple faculty positions in our top-ranked Information Systems program beginning in the Fall 2026 semester. We seek educators who can contribute to excellence in teaching, research, and service. Our needs are for candidates who can teach core information systems and concentrations courses and bring expertise in one or more of the following areas: emerging technologies and smart systems development, artificial intelligence, digital innovation, IS project consulting, and business process intelligence.</p>
<p>
Our faculty members are recognized internationally for their expertise, dedication to education, curricular development, research impact, and close involvement with students, faculty and the local community. These positions, based at CMU&rsquo;s branch campus in Doha, Qatar, offer competitive salaries, research startup funds, annual discretionary funds, attractive professional development support, excellent international health care coverage, and allowances for housing, travel, and schooling (if eligible), among other benefits. There are multiple internal and external research grant opportunities.</p>
<p>
The Information Systems Program at Carnegie Mellon University in Qatar offers an undergraduate major which aims to educate local and international students to meet the increasing demand for information systems skills in Qatar, the Gulf region, and globally. For more information on our Information Systems program, visit (1) IS program at CMU&ndash;Qatar and (2) IS program at CMU-Pittsburgh.</p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><p>Candidates must have a Ph.D. in Information Systems or a closely related field. ABDs that graduate by March 2026 will also be considered. A prior record of teaching effectiveness, research impact, and/or relevant industry experience is welcomed.</p>
<p>
Appointments for these positions will be at the assistant and associate teaching professor rank with multi-year contracts and promotion opportunities. The positions emphasize teaching excellence, curricular development, and student advising and mentoring. Faculty are expected to develop excellence in research, international scholarly contributions, and university service.</p>
<p><b>
About CMU in Qatar</b></p>
<p>
Carnegie Mellon University in Qatar (qatar.cmu.edu) is a branch campus that operates in concert with several other American and European branch campuses under the umbrella of the Qatar Foundation&rsquo;s Education City. The branch campus closely follows the admissions requirements and English language curriculum of the home campus, which awards all degrees. The several thousand students in Education City are a broad mix of nationalities, but primarily from the Middle East, North Africa, and South Asia. CMUQ&rsquo;s faculty is a mix of academics hired specifically to the campus and seconded faculty from the main campus. CMUQ&rsquo;s primary focus is undergraduate education in Artificial Intelligence, Business Administration, Biological Sciences, Computer Science and Information Systems. More Information about the State of Qatar is available at: qatartourism.com .</p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p>To apply, candidates should submit:</p>
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<ul><li>A cover letter specifying the desired position and how the candidate&rsquo;s qualifications match the job description.</li></ul>
<ul><li>A two-minute video introducing themself, teaching areas, research interests and any specific interest in applying for this position.</li></ul>
<ul><li>Detailed curriculum vitae, including a list of publications.</li></ul>
<ul><li>Teaching statement outlining the candidate&rsquo;s teaching philosophy and experience.</li></ul>
<ul><li>Research statement outlining the candidate&rsquo;s research and how it could engage undergraduate IS students.</li></ul>
<ul><li>Contact information of at least three referees.</li></ul>
<ul><li>Any additional supporting documentation that may include representative professional or scholarly publications.</li></ul>
</div>
<p>Additional materials would be requested from shortlisted candidates. All materials must be submitted online through Interfolio: https://apply.interfolio.com/174843</p>
<p>
Review of complete applications will commence on <b>November 1, 2025</b>. The deadline for applying is <b>January 15, 2026</b> or until the positions are filled.</p>
<p>
All inquiries should be directed to the Chair of the Search Committee, Dr. Savanid (Nui) Vatanasakdakul, at savanid@cmu.edu</p></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div><p></p>

FACULTY POSITIONS IN INFORMATION SYSTEMS - CARNEGIE MELLON UNIVERSITY IN QATAR

Roots Energy and Engineering Services

<p>Hiring -- Permanent Employment</p><p>Sales Engineer /Sales InCharge - TRP Sports Flooring Division</p><p>* Identify and develop new business opportunities in the sports flooring market (indoor &amp; outdoor).</p><p>* Promote TRP&rsquo;s range of sports flooring products (PU flooring, Acrylic, Vinyl, Rubber, Artificial Turf, etc.).</p><p>* Meet with architects, contractors, builders, consultants, schools, sports clubs, and government bodies to present solutions</p><p>* Understand client requirements and provide tailored technical and commercial proposals.</p><p>* Coordinate with the technical and installation team for site surveys and project execution.</p><p>Candidates can send CVs &amp; Certificates thru whatsapp - 30869324</p><p>Job Types: Full-time, Permanent</p><p>Pay: QAR5,000.00 - QAR8,000.00 per month</p>

Sales Engineer /Sales Incharge-Sports Flooring

Swan Global WLL

<p><b>Job Summary</b></p><p>We are seeking a motivated and enthusiastic Reception Intern to join our team. This role is ideal for fresh graduates or candidates with up to one year of experience who are eager to gain hands-on experience in front-office operations and customer service. The intern will serve as the first point of contact for visitors and assist in day-to-day administrative and reception duties.</p><p><b>Key Responsibilities</b></p><ul><li>Greet and welcome visitors in a professional and friendly manner.</li><li>Answer, screen, and forward incoming calls to the appropriate departments.</li><li>Manage front desk activities, including receiving and distributing mail/packages.</li><li>Assist in scheduling appointments and maintaining meeting room bookings.</li><li>Provide basic administrative support such as data entry, filing, and documentation.</li><li>Maintain cleanliness and organization of the reception area.</li><li>Support HR/Admin teams with tasks as required.</li></ul><p><b>Requirements</b></p><ul><li>0&ndash;1 years of relevant experience (fresh graduates are encouraged to apply).</li><li>Bachelor&rsquo;s degree/diploma in Business Administration, HR, or related field (preferred).</li><li>Excellent verbal and written communication skills.</li><li>Strong interpersonal skills with a customer-focused attitude.</li><li>Basic knowledge of MS Office (Word, Excel, Outlook).</li><li>Professional appearance and a positive attitude.</li><li>Ability to multitask and work under minimal supervision.</li></ul><p><b>Benefits</b></p><ul><li>Opportunity to gain practical experience in front office and administrative functions.</li><li>Exposure to corporate environment and networking opportunities.</li><li>Internship certificate upon successful completion.</li></ul><p>Job Type: Internship<br/>Contract length: 3 months</p><p>Pay: QAR1,000.00 - QAR1,500.00 per month</p><p>Language:</p><ul><li>English (Preferred)</li></ul>

Receptionist - Intern

Codvo.ai

<div><div><div><div>At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.</div><div><b>
About the Role</b></div><div>
We are seeking a highly skilled and experienced Senior AI Engineer a deep understanding of asset-heavy industries such as oil &amp; gas, manufacturing, or utilities to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions.<br>
You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems.</div><div><b>
Responsibilities</b></div><div><b>
Generative AI Pipeline Development</b></div><ul><li><ul><li>Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads.</li><li>Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs.</li><li>Build CI/CD pipelines with integrated prompt regression testing and version control.</li><li>Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows.</li><li>Monitor system performance using tools like Langfuse or Prometheus.</li></ul></li></ul><div><b>
Data and Document Ingestion</b></div><ul><li><ul><li>Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data.</li><li>Apply preprocessing pipelines for text, images, and code.</li><li>Ensure data integrity, format consistency, and security across sources.</li></ul></li></ul><div><b>
AI Service Integration</b></div><ul><li><ul><li>Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.).</li><li>Build internal APIs for smooth backend-AI communication.</li><li>Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets.</li><li>Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy.</li></ul></li></ul><div><b>
Retrieval-Augmented Generation (RAG) Pipelines</b></div><ul><li><ul><li>Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API).</li><li>Design custom retrieval strategies for multi-modal or multi-source documents.</li><li>Apply post-retrieval ranking using DPO or feedback-based techniques.</li><li>Improve contextual relevance through re-ranking, chunk merging, and scoring logic.</li></ul></li></ul><div><b>
LLM Integration and Optimization</b></div><ul><li><ul><li>Manage prompt engineering, model interaction, and tuning workflows.</li><li>Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design.</li><li>Optimize generation using temperature tuning, token limits, and speculative decoding.</li><li>Integrate observability and cost-monitoring into LLM workflows.</li></ul></li></ul><div><b>
Backend Services Ownership</b></div><ul><li><ul><li>Design and maintain scalable backend services supporting GenAI applications.</li><li>Implement monitoring, logging, and performance tracing.</li><li>Build RBAC (Role-Based Access Control) and multi-tenant personalization.</li><li>Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production.</li></ul></li></ul><div><b>
Required Skills and Qualifications</b></div><div><b>
Education</b></div><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, or related field.</li></ul><div><b>
Experience</b></div><ul><li><ul><li>5+ years of experience in AI/ML engineering with end-to-end pipeline development.</li><li>Hands-on experience building and deploying LLM/RAG systems in production.</li><li>Strong experience with public cloud platforms (AWS, Azure, or GCP).</li></ul></li><li>
2+ years of experience in asset-heavy industries (e.g., oil &amp; gas, utilities, manufacturing).</li></ul><div><b>
Technical Skills</b></div><ul><li><ul><li>Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch.</li><li>Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph.</li><li>Experience with RESTful API development and version control using Git.</li><li>Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval.</li><li>Familiarity with Docker, Kubernetes, and scalable microservice design.</li><li>Experience with observability tools like Prometheus, Grafana, or Langfuse.</li></ul></li></ul><div><b>
Generative AI Specific Skills</b></div><ul><li><ul><li>Knowledge of LLMs, VAEs, Diffusion Models, GANs.</li><li>Experience building structured + unstructured RAG pipelines.</li><li>Prompt engineering with safety controls, schema enforcement, and hallucination mitigation.</li><li>Experience with prompt testing, caching strategies, output filtering, and fallback logic.</li><li>Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods.</li></ul></li></ul><div><b>
Soft Skills</b></div><ul><li><ul><li>Strong analytical, problem-solving, and debugging skills.</li><li>Excellent collaboration with cross-functional teams: product, QA, and DevOps.</li><li>Ability to work in fast-paced, agile environments and deliver production-grade solutions.</li><li>Clear communication and strong documentation practices.</li></ul></li></ul><div><b>
Preferred Qualifications</b></div><ul><li><ul><li>Experience with OCR, document parsing, and layout-aware chunking.</li><li>Hands-on with MLOps and LLMOps tools for Generative AI.</li><li>Contributions to open-source GenAI or AI infrastructure projects.</li><li>Knowledge of GenAI governance, ethical deployment, and usage controls.</li><li>Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI.</li></ul></li></ul></div></div></div><p></p>

AI Lead (Doha , Qatar)

shine systems

<div><p><b>Foundry Experience Preferred</b></p><p><b>
Summary: </b>SHINE Systems is seeking experienced operations and intelligence professionals skilled in using and training others on software (e.g. Gotham, Gaia, Foundry, etc.) to join our team. As a Field Service Analyst, you will be on the front lines strengthening user relationships. Your responsibilities will include troubleshooting technical issues, developing new use cases, and working alongside analysts to solve unique and complex problems. This role may involve collaborating closely with users worldwide and providing direct feedback regarding software feature enhancements. Additionally, you will play a vital role in promoting collaboration across a global enterprise, ensuring continued success for our customers.<br>
<br>
<b>Job Requirements:</b></p><ul><li>
Hands-on experience with the software product, Gotham. You will be responsible for training and guiding users in its application and functionality.</li><li>
Training experience (Classroom or Deskside)</li><li>
Proficiency in troubleshooting technical issues</li><li>
Strong understanding of DoD, Intelligence, or Law Enforcement missions</li><li>
TS/SCI clearance is REQUIRED</li></ul><p><b>
Desired Qualifications:</b></p><ul><li>
Real world experience supporting intelligence or operations</li><li>
Familiarity with Gaia or Foundry</li><li>
Experience training other intelligence or operations software</li><li>
Excellent communication skills</li><li>
Travel independently, both CONUS and OCONUS, as required</li><li>
Technical knowledge, including working familiarity with languages such as Python, Java or HTML.</li></ul><p>
SHINE Systems is an Equal Employment/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.</p></div>

Field Service Analyst

Explore 65+ Artificial intelligence intern in Doha this October. Find roles across top companies and apply now to boost your career.