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ai applications ops lead, gps Jobs in Qatar

ai applications ops lead, gps

applied ai engineer global public sector

Scale AI

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
 </li>
 <li>
 Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
 </li>
 <li>
 Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
 </li>
 <li>
 Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
 </li>
 <li>
 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
 </li>
 <li>
 Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
 </li>
 <li>
 Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
 </li>
 <li>
 Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup, particularly as founding engineer
 </li>
 <li>
 Experience building and deploying large-scale AI solutions
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Applied AI Engineer, Global Public Sector

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don&rsquo;t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.
 
 
 Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.
 
 
 
 The Mission
 
 
 
 <ul>
 <li>
 Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.
 </li>
 <li>
 Systemic Evaluation &amp; Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments.
 </li>
 <li>
 Model Optimisation &amp; Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows.
 </li>
 <li>
 Drive Reliability &amp; Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments.
 </li>
 <li>
 Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights.
 </li>
 <li>
 Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments
 </li>
 <li>
 Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty.
 </li>
 <li>
 Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.
 
 
 </li>
 </ul>
 
 Ideally, You Have
 
 
 
 <ul>
 <li>
 Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable.
 </li>
 <li>
 Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system.
 </li>
 <li>
 Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets.
 </li>
 <li>
 Advanced Degree: A Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.
 
 
 </li>
 </ul>
 
 Nice to Haves
 
 
 
 <ul>
 <li>
 Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability.
 </li>
 <li>
 Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases.
 </li>
 <li>
 Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements.
 </li>
 <li>
 Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Machine Learning Engineer, Global Public Sector

EPAM Systems

<div>We're looking for a Senior AI Engineer (Python) to join our team in Doha, Qatar, in an onsite working mode.
This role offers the opportunity to work at the forefront of AI-driven software engineering, building scalable, production-ready AI solutions and transforming development processes to an AI spec-driven model. You will design and implement architectures for high-performance AI systems, optimize operational efficiency, and contribute to building and hardening agentic workflows. You will collaborate with global engineering teams to enhance standards, security, and reliability while driving innovation across AI-enabled development workflows.
Responsibilities<ul><li>
Design and deploy token-efficient AI search and retrieval architectures optimized for relevance and latency
</li><li>Define, evolve and operationalize AI specifications and templates for feature, architecture, code, test and deployment automation
</li><li>Develop metrics and tools to measure AI-driven development efficiency, quality and accuracy
</li><li>Build and productionize end-to-end pipelines including embeddings, vector stores, retrieval frameworks, prompt engineering and LLM integrations
</li><li>Create and strengthen agentic systems to orchestrate multi-step agent behaviors for engineering workflows
</li><li>Implement operational reliability and observability frameworks including monitoring, CI/CD pipelines, version management and reproducible deployments
</li><li>Coach and mentor engineering and product teams, review designs and elevate AI engineering practices
</li><li>Establish security guardrails, input/output validation and safety mechanisms for robust AI solutions
</li></ul>Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering or related field
</li><li>4+ years of experience building production-grade AI systems or 2+ years focusing on LLM/RAG solutions
</li><li>Proven experience with Retrieval-Augmented Generation (RAG) patterns, embeddings and vector databases
</li><li>Experience integrating with commercial and self-hosted LLM models
</li><li>Hands-on experience with AI agent frameworks such as LangChain or equivalent
</li><li>Strong backend engineering skills with Python as primary language and intermediate Java proficiency
</li><li>Experience with REST/gRPC APIs, containerized deployments and Kubernetes orchestration
</li><li>Familiarity with cloud services and infrastructure automation tools such as Ansible
</li><li>Strong knowledge of CI/CD processes applied to models, prompts and testing for AI-driven workflows
</li><li>Understanding of embeddings, semantic search and large-scale vector indexing
</li><li>Awareness of AI productivity tools such as GitHub Copilot, GitLab Duo or similar</li></ul>
We offer<ul><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel tickets for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul></div>

Senior AI Engineer (Python)

Hamad Bin Khalifa University

<div>
 
 Job Title*
 
 (In English): Full Professor
 
 
 
 Job Title*
 
 (In Arabic):أستاذ بروفيسور
 
 
 
 Entity:
 
 College of Public Policy
 
 
 
 Entity
 
 (Other) (In English): College of Public Policy
 
 
 
 Entity
 
 (Other) :(In Arabic):كلية السياسات العامة
 
 
 
 Department/Center (Optional) (In English)
 
 
 
 
 Department/Center
 
 (Optional) (In Arabic):
 
 
 
 About HBKU
 
 
 
 Hamad Bin Khalifa University (HBKU) is a member of Qatar Foundation for Education, Science, and Community Development (QF). The university was founded in 2010 to continue fulfilling QF&rsquo;s vision of unlocking human potential. HBKU is a homegrown research-intensive University offering undergraduate and graduate degrees that acts as a catalyst for positive transformation in Qatar and the region while having a global impact.
 
 
 Doha is the home of Education City (https://www.qf.org.qa/education/higher-education), a dedicated campus devoted to research and education. In addition to HBKU, Education City hosts other academic institutions, including Weill Cornell Medicine-Qatar, Carnegie Mellon University in Qatar, VCUarts Qatar, Northwestern University in Qatar, and Georgetown University in Qatar. Education City has significantly contributed to the development of post-secondary education and cultural growth in Qatar.
 
 
 
 About Entity
 
 
 
 Hamad Bin Khalifa University (HBKU) established the College of Public Policy in 2019. The College has three degrees (Master of Public Policy, Master of Social Policy and Program Evaluation, Master of Global Health Policy) and Executive Programs (in collaboration with Graduate Institute of International and Development Studies in Geneva). The College works to empower the next generation of ethically grounded public leaders in Qatar and beyond. Students are given an inclusive and diverse learning environment that promotes a culture of excellence, integrity, respect, and fairness. All faculty members are active in research with broad agenda addressing national and global challenges and policy priorities.
 
 
 he Master of Global Health Policy (MGHP) program prepares graduates to address complex health challenges through policy analysis, interdisciplinary evidence, stakeholder engagement, ethical leadership, and public-service-oriented decision-making. The program combines a strong foundation in global health systems, health economics, advocacy, crises and emergency settings, and research methods, while offering both a Capstone track and a Master&rsquo;s Thesis track to support diverse professional and academic aspirations. Positioned at the intersection of public policy and global health, the MGHP program is designed to equip students with the knowledge, analytical tools, and practical skills needed to contribute to health policy development, implementation, and evaluation in Qatar, the region, and globally.
 
 
 
 Position:
 
 Full Professor
 
 
 To conduct teaching, research and service to contribute to HBKU becoming a world-class research university and collaborate with faculty members and students to create a vibrant university community that will positively impact and contribute to the development of Qatar and the region by advancing knowledge in their field and developing human capacity through their teaching
 
 
 
 Job Description (In Bullet Points Only)
 
 
 
 <ul>
 <li>
 Provide academic, strategic, and administrative leadership for the Master of Global Health Policy (MGHP) program in advancing evidence-based, policy-relevant, and globally engaged education and research, aligned with Qatar National Vision 2030 and relevant international accreditation standards.
 </li>
 <li>
 Lead the continued development, review, and enhancement of the MGHP curriculum, including oversight of program quality assurance, accreditation-related processes, and continuous improvement.
 </li>
 <li>
 Strengthen and expand partnerships with government entities, international organizations, health institutions, and other relevant stakeholders to support teaching, research, and policy engagement.
 </li>
 <li>
 Teach graduate-level courses aligned with the MGHP Program Learning Outcomes (PLOs), including areas such as global health policy analysis, health systems, health economics, policy processes, culturally responsive communication, and ethical public-service-oriented leadership.
 </li>
 <li>
 Supervise graduate student capstone projects, master&rsquo;s theses, and independent research in areas relevant to global health policy.
 </li>
 <li>
 Maintain an internationally recognized research profile in global health policy, health systems, health governance, health economics, or related fields.
 </li>
 <li>
 Lead and secure externally funded research projects, including national and international grants.
 </li>
 <li>
 Publish in high-impact journals and contribute to regional and global debates in global health policy and public policy.
 </li>
 <li>
 Promote applied, policy-relevant research that informs decision-making and contributes to addressing health challenges in Qatar, the region, and globally.
 </li>
 <li>
 Mentor junior faculty and contribute to faculty development, research capacity building, and academic leadership within the College.
 </li>
 <li>
 Disseminate research findings through publications, policy reports, conferences, public engagement, and scholarly presentations to enhance the visibility and reputation of HBKU and the College.
 </li>
 <li>
 Perform other reasonable duties as assigned by the Dean or the University.
 
 
 </li>
 </ul>
 
 Minimum Knowledge, Skills &amp; Experience (In Bullet Points Only)
 
 
 
 <ul>
 <li>
 PhD in Global Health Policy, Public Policy, Public Health, Health Economics, or a closely related field.
 </li>
 <li>
 Academic qualifications, scholarly standing, and professional experience commensurate with appointment at the rank of Full Professor.
 </li>
 <li>
 Distinguished record of high-impact publications, externally funded research, graduate teaching excellence, and the ability to bridge research, teaching, and policy practice.
 </li>
 <li>
 Recognized expertise in global health systems, health policy, health governance, health economics, and/or applied policy analysis.
 </li>
 <li>
 12+ years of relevant full-time university teaching, research, and academic leadership experience, with evidence of sustained professional maturity, productivity, and impact.
 </li>
 <li>
 Demonstrated excellence in teaching, student supervision, curriculum development, and program leadership at the graduate level.
 </li>
 <li>
 Evidence of active participation in the scholarly and academic affairs of a university and/or relevant professional associations.
 </li>
 <li>
 Sustained portfolio of scholarly achievement, including funded research grants, peer-reviewed publications, and other scholarly contributions, comparable to peers at leading research universities.
 </li>
 <li>
 Evidence of a strong regional and international reputation within the discipline.
 </li>
 <li>
 Demonstrated ability to work effectively with diverse groups, cultures, and communities.
 </li>
 <li>
 Proven ability to develop networks, collaborations, and partnerships within HBKU and with national and international partner institutions in teaching, research, and policy engagement.
 </li>
 <li>
 Strong track record of engaging and collaborating with policy stakeholders, government entities, international organizations, and health-sector institutions at national, regional, and international levels.
 </li>
 <li>
 Knowledge of Arabic is an advantage.
 
 
 </li>
 </ul>
 
 Additional Requirements/Skills
 
 (In Bullet Points Only) |
 
 (Optional)
 
 
 
 
 How To Apply
 
 
 
 To apply, please follow this link
 
 [Wufoo form link to be inserted by Webmaster]
 
 
 
 
 The Application Packet Must Include
 
 
 
 <ul>
 <li>
 A letter of interest (no more than two pages) describing the applicant&rsquo;s professional experience in relation to the stated qualifications.
 </li>
 <li>
 Current curriculum vitae.
 </li>
 <li>
 Minimum of one recent full-course teaching evaluation.
 </li>
 <li>
 Three professional references with email and telephone numbers (references will not be contacted without prior authorization from the applicant)
 
 
 </li>
 </ul>
 Incomplete applications will not be considered. Applications must be submitted in English. Additional information may be requested upon receipt of the application. Applications will be accepted until the position is filled.
 
 
 Additional documents may be solicited from short-listed candidates.
 
 
 
 Deadline
 
 
 
 Application Deadline: September 6th, 2026.
 
 
 Applications will be reviewed on a rolling basis until the position is filled. The successful candidate must be ready to start in the [Spring 2027] semester
 
 
 
 Other
 
 
 
 
 Remuneration
 
 
 
 HBKU offers an attractive compensation package that includes a tax-free salary and additional benefits such as accommodation allowance, annual paid leave, and medical insurance.
 
 
 
 Hamad Bin Khalifa University is an equal opportunity educator and employer. We are committed to maintaining culturally and academically diverse staff of the highest caliber.
 
</div>

Full Professor, College of Public Policy

QatarEnergy

<div>Primary Purpose of the Job:
<ul><li>Governance and execution of the Information Security Management System (ISMS) including developing policies,standards and procedures required for the corporate information security in both an Information technology (IT) and Operational Technology (OT) capacity.</li><li>Define required information security policies, standards and procedures related to their areas of operation as well as raising awareness of those polices, standards and procedures.</li></ul>
-Ensure adequate an effective IT controls exist to meet applicable current and future security compliance requirements. -Conduct compliance and operational maturity assessments to ensure optimal operation of the information and operational technology environments under the guidelines of the ISMS. 
<ul><li>Develop reporting Metrics, dashboards and evidences of compliance activities.</li><li>Coordinate with IT stakeholders, project managers, and business owners to facilitate vendor risk assessments, due diligence review and security requirements definition. Maintain third-party assessment documentation.</li></ul>
Stay updated on the latest security trends, emerging threats and best practices to continuously improve the overall security posture. 
<ul><li>Collaborate with cross-functional teams, including AI and digital functions, to ensure alignment of security governance with emerging technologies and applied intelligence initiatives.</li><li>Carry out other Security related activities as assigned by team Lead.</li></ul>
Required Experience and Skills:
<ul><li>Bachelor degree in information security, computer science, or engineering.</li><li>Professional certifications in information security management and standards compliance (e.g., CISSP, CISM, CRISC, GIAC, ISO27001, etc.) and experience with control frameworks (e.g., NIST Cybersecurity Control Framework)</li></ul>
Educational Qualifications:
<ul><li>10+ years of relevant professional experience.</li><li>Experience with large ICS &amp; ICT environments in the Energy sector, preferably in Oil &amp; Gas.</li><li>Experience with and understanding of customized information security management systems.</li><li>Experience in defining Governance, Risk, and Compliance (GRC) processes and leveraging industry-standard GRC tools and products.</li><li>Knowledge of information security capabilities and requirements analysis.</li><li>Knowledge of relevant state laws, industry regulations, and security standards.</li><li>Excellent written, verbal and presentation communication skills</li></ul></div>

SR. INFORMATION SECURITY ANALYST

Multiverse Computing

<div>Multiverse Computing<div>
Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.</div><div>
Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</div><div>
Why join us?
 
 
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide &mdash; compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50&ndash;80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible &mdash; and being part of a company often described as a &ldquo;quantum-AI unicorn in the making.&rdquo;</div><div>
This opportunity is to work from Qatar. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers&rsquo; needs, crafting innovative, scalable, and robust AI- powered solutions.</div><div>
Key requirements:</div><ul><li>
Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)</li><li>
Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.</li><li>
Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.</li><li>
Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.</li><li>
Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</li><li>
Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</li><li>
Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</li><li>
Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>
Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</li><li>
Must be available to travel as needed for meetings, conferences, and project requirements.</li><li>
Languages: Arabic and English</li></ul><div> 
Preferred Qualifications:</div><ul><li>
Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</li><li>
Experience with AI model optimization, quantization, or deployment to edge devices.</li><li>
Hands-on experience designing RAG pipelines and/or multi-agent systems..</li><li>
Experience designing data architectures (batch &amp; streaming) and working with big data technologies.</li><li>
Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.</li></ul>
Location: Applicants must have legal authorization to work in the country where the position is based<div> 
Perks &amp; Benefits:</div><ul><li>
Equal pay guaranteed.</li><li>
Signing bonus.</li><li>
Relocation package (if applicable).</li><li>
Eligibility for educational budget according to internal policy.</li><li>
Hybrid opportunity.</li><li>
Flexible working hours.</li><li>
Language classes and discounted lunch options</li><li>
Working in a high paced environment, working on cutting edge technologies.</li><li>
Career plan. Opportunity to learn and teach.</li></ul><div>
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.</div></div>

Mid/Senior Solution Architect - Qatar

Euro Systems

Sales Engineer &ndash; Fit-Out Euro Systems | Doha, Qatar | Full-TimeAbout Euro SystemsEuro Systems is a leading provider of architectural systems, aluminium glazing, and interior and outdoor shading solutions, operating across the UAE, Qatar, and Saudi Arabia. With a strong portfolio of residential, commercial, and hospitality projects delivered across the GCC, we combine European design precision with deep regional expertise. We are expanding our Qatar operations and looking for a commercially driven Sales Engineer to grow our fit-out business in Doha.Job SummaryWe are looking for an energetic and technically capable Sales Engineer with 2&ndash;4 years of experience to develop new business and manage existing client relationships within the fit-out sector in Doha. You will work across a broad client base &mdash; from main contractors and developers to interior design consultants &mdash; presenting Euro Systems' product portfolio, preparing technical proposals, and closing deals. This is a field-facing role for someone who is hungry to grow, builds relationships naturally, and understands the technical side of fit-out and architectural systems.Key Responsibilities<ul><li>Identify and pursue new business opportunities across fit-out contractors, main contractors, developers, and interior design firms in Qatar.</li><li>Manage and develop an existing portfolio of clients in Doha, acting as their primary point of contact for technical and commercial matters.</li><li>Conduct client meetings, site visits, and product presentations to understand project requirements and recommend the most suitable Euro Systems solutions.</li><li>Prepare accurate technical submittals, quotations, and proposals for aluminium systems, glazing, shading, and related fit-out products.</li><li>Collaborate with the estimation and design teams to develop competitive, specification-compliant bids.</li><li>Follow up on leads, tenders, and submitted proposals throughout the full sales cycle through to order closure.</li><li>Track active and upcoming fit-out and interior projects in the Qatar market and position Euro Systems at the specification stage wherever possible.</li><li>Stay informed on competitor activity, market trends, and new project opportunities across Doha.</li><li>Coordinate with the project delivery and logistics teams post-sale to ensure smooth execution and client satisfaction.</li><li>Consistently meet and exceed monthly and quarterly sales targets.</li><li>Maintain accurate records of client interactions, pipeline status, and forecasts.</li></ul>Requirements<ul><li>2&ndash;4 years of sales experience in the fit-out, aluminium, glazing, interior solutions, or construction sector &mdash; Qatar or GCC experience is strongly preferred.</li><li>Familiarity with architectural systems, aluminium and glazing products, shading solutions, or related fit-out materials is a strong advantage.</li><li>Proven ability to develop new client relationships and manage existing accounts simultaneously.</li><li>Comfortable engaging with both technical stakeholders and design-focused clients.</li><li>Strong ability to read and interpret architectural drawings and fit-out specifications.</li><li>Excellent communication and presentation skills in English &mdash; Arabic is a strong advantage for the Qatar market.</li><li>Self-motivated with strong pipeline management discipline and the ability to work independently.</li><li>Proficiency in Microsoft Office; CRM experience is an advantage.</li><li>Valid Qatar driving license or ability to obtain one upon joining is required.</li></ul>What We Offer<ul><li>A growth-focused role in an expanding market with a well-established GCC brand behind you.</li><li>Access to a strong and diverse product portfolio that resonates across the Qatar fit-out sector.</li><li>Competitive base salary with a performance-linked commission structure.</li><li>The support and backing of the Euro Systems Group network across the region.</li><li>Real career development opportunities as our Qatar operations continue to grow.</li></ul>How to ApplySubmit your CV via Indeed. Only shortlisted candidates will be contacted.Euro Systems is an equal opportunity employer.Pay: QAR5,000.00 - QAR8,000.00 per monthWork Location: In person

Sales Engineer – Fit-Out

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