building architect

DGC- Saudi Branch

We are seeking an experienced FLS Architect to join our team. The ideal candidate will be responsible for Fire &amp; Life Safety design coordination, code compliance, and ensuring all architectural designs meet local and international fire safety standards.Key Responsibilities:<ul><li>Develop and review Fire &amp; Life Safety (FLS) architectural designs and drawings.</li><li>Ensure compliance with Qatar Civil Defence (QCD), QCS, NFPA, and international codes and standards.</li><li>Coordinate with architects, MEP engineers, consultants, and project teams.</li><li>Review evacuation plans, compartmentation layouts, and fire escape routes.</li><li>Participate in design reviews, risk assessments, and site inspections.</li><li>Identify and resolve FLS-related design issues during project execution.</li><li>Prepare technical reports and support authority submissions and approvals.</li></ul>Requirements:<ul><li>Bachelor's Degree in Architecture or a related field.</li><li>Minimum 10 years of experience in Fire &amp; Life Safety design and architectural projects.</li><li>Strong knowledge of QCD, QCS, NFPA, and international fire safety regulations.</li><li>Proficiency in AutoCAD, Revit, and other relevant design software.</li><li>Excellent communication and coordination skills.</li></ul>Pay: QAR10,000.00 - QAR12,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>work: 10 years (Required)</li></ul>License/Certification:<ul><li>UPDA - FLS (Required)</li></ul>Work Location: In person

FLS Architect

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

<div>
 
 Multiverse Computing
 
 
 
 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.
 
 
 Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.
 
 
 
 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;
 
 
 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.
 
 
 
 Key requirements:
 
 
 
 
 <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>
 
 Preferred Qualifications:
 
 
 
 
 <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
 
 
 
 
 Perks &amp; Benefits:
 
 
 
 
 <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>
 
 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.
 
 
 
 Come and join our multicultural team!
 
 
 5 locations
 
 
 +27 languages
</div>

Advanced Business Computing

<div>
 
 
 Job Scope
 
 
 
 
 
 
 The
 
 AppDev Consultant
 
 is accountable for managing the post-sales activities by proactively assessing solution specifications in light of changing customer requirements. S/He designs, plans and implements on-premises or cloud solutions for migration, analyzes current on-premises and provides solutions to customers.
 
 
 
 
 
 
 Main Duties and Responsibilities
 
 
 <ul>
 <li>
 Run, manage and drive proof of concepts (
 
 POC
 
 ) and request for proposals (
 
 RFP
 
 ) and close opportunities from a presales and implementation perspective
 </li>
 <li>
 Help customers architect scalable, highly available application solutions that leverage Microsoft services
 </li>
 <li>
 Work as a technical consultant alongside customer business, development and infrastructure teams
 </li>
 <li>
 Work as both an infrastructure and application development specialist
 </li>
 <li>
 Implement DevOps practices such as infrastructure, continuous integration and automated deployment
 </li>
 <li>
 Participate in design, development, review and test efforts for App &amp; Data Modernization
 </li>
 <li>
 Ensure efficient functioning of data storage and process functions in accordance with the company security policies and best practices in cloud security
 </li>
 <li>
 Provide deep software architecture knowledge with respect to cloud architecture and design patterns
 </li>
 <li>
 Identify, analyze and resolve infrastructure vulnerabilities and application deployment issues
 </li>
 <li>
 Collaborate with engineering and development teams to evaluate and identify optimal cloud solutions
 </li>
 <li>
 Create and execute a roadmap to modernize applications and move them to Azure
 </li>
 <li>
 Use ARM, Azure Policy, Blueprints and other technologies as part of integrated deployment pipelines for new solutions in Azure
 </li>
 <li>
 Contribute to internal R&amp;D projects and play an active role in the broader community
 </li>
 <li>
 Adhere to New Signature and Client Information Security policies and ensure compliance at all times
 </li>
 <li>
 Maintain and update technical qualifications to provide intensive technical consulting to prospective customers
 </li>
 <li>
 Lead technical sales calls
 </li>
 </ul>
 
 
 
 
 
 Position Requirements
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science or any other related field
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 At least 3 to 4 years of relevant experience in Google Cloud database migration and pre-sales / post-sales / Cloud / DB Specialist
 </li>
 <li>
 Database experience (Oracle, SQL Server, MySQL) along with hands-on cloud migration exposure and relevant Google Cloud certifications.
 </li>
 <li>
 Certifications preferred: Google Cloud Professional Cloud Database Engineer / Architect
 </li>
 </ul>
 
 
</div>

Applications & DevOps Consultant

Starlink Qatar

<div>
 
 Job Purpose
 
 
 
 
 
 The Cloud Architect is responsible for designing, implementing, and managing secure, scalable, and highly available cloud and hybrid-cloud architectures across Azure, Google Cloud (GCP), and on-premises HCI platforms (VMware &amp; Nutanix NCM). The role ensures robust cloud governance, automation, security compliance, and alignment with business and technology objectives.
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 <ol>
 <li>
 Cloud &amp; Hybrid Architecture Delivery
 </li>
 </ol>
 <ul>
 <li>
 Design and implement multi-cloud solutions across Azure and GCP aligned with performance, cost, and scalability requirements.
 </li>
 <li>
 Architect and maintain hybrid-cloud environments integrating on-premises data centers with cloud platforms.
 </li>
 <li>
 Design and operate HCI platforms (VMware vSphere, vSAN, NSX-T, and Nutanix NCM/AHV).
 </li>
 <li>
 Lead cloud modernization, migration, and transformation initiatives.
 </li>
 <li>
 Implement and manage Infrastructure as Code (IaC) using Terraform, Bicep, ARM, and GCP Deployment Manager.
 </li>
 <li>
 Develop cloud landing zones, networking architectures, and identity/security integration.
 </li>
 <li>
 Support multi-cloud workload deployment, containerization, and VM-based compute models.
 </li>
 <li>
 Ensure resilient architectures with HA/DR, backup, and failover strategies.
 </li>
 <li>
 Manage daily cloud operations, monitoring, and incident response.
 </li>
 <li>
 Troubleshoot complex hybrid/multi-cloud issues across compute, network, and storage.
 </li>
 <li>
 Review architectural documents, diagrams, and solution designs.
 </li>
 <li>
 Deliver technical design documents, governance frameworks, and presentations.
 </li>
 <li>
 Provide guidance for migrations, including AVS (Azure VMware Solution) and GCVE (Google Cloud VMware Engine).
 </li>
 </ul>
 <ol>
 <li>
 Communication / Documentation
 </li>
 </ol>
 <ul>
 <li>
 Collaborate with cross-functional teams to ensure alignment on cloud and hybrid architecture requirements.
 </li>
 <li>
 Create detailed architecture blueprints, cloud standards, and operating procedures.
 </li>
 <li>
 Maintain documentation for cloud deployments, changes, governance, and audit requirements.
 </li>
 <li>
 Participate in design reviews, technical workshops, and knowledge transfer sessions.
 </li>
 </ul>
 <ol>
 <li>
 Problem Solving &amp; Optimization
 </li>
 </ol>
 <ul>
 <li>
 Collaborate with cross-functional teams to ensure alignment on cloud and hybrid architecture requirements.
 </li>
 <li>
 Create detailed architecture blueprints, cloud standards, and operating procedures.
 </li>
 <li>
 Maintain documentation for cloud deployments, changes, governance, and audit requirements.
 </li>
 <li>
 Participate in design reviews, technical workshops, and knowledge transfer sessions.
 </li>
 </ul>
 
 Knowledge, Experience &amp; Requirements
 
 <ul>
 <li>
 5 years' experience in Azure Cloud management
 </li>
 <li>
 3 years' experience in Google Cloud management
 </li>
 <li>
 3 years' experience in Cloud Virtualization management and High Availability management
 </li>
 </ul>
 
 Job Specific Technical Skills
 
 <ul>
 <li>
 Deep knowledge of networking: VNET/VPC design, routing, subnetting, VPN, ExpressRoute, Interconnect, load balancers, firewalls.
 </li>
 <li>
 Multi-cloud and hybrid-cloud architecture expertise.
 </li>
 <li>
 In-depth experience with HCI platforms: VMware &amp; Nutanix NCM.
 </li>
 <li>
 Strong proficiency in automation &amp; IaC (Terraform, ARM, Bicep, Deployment Manager).
 </li>
 <li>
 Expertise with cloud security, identity, governance, Zero Trust, and compliance frameworks.
 </li>
 <li>
 Hands-on experience in monitoring tools, observability, and cloud operations (Azure Monitor, GCP Operations Suite, vRealize, Nutanix Prism).
 </li>
 <li>
 Strong documentation, design, and communication skills.
 </li>
 </ul>
</div>

Cloud Architect

QatarEnergy

<div>Primary Purpose of the Job:

The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.<h1 class="jobSectionHeader">
Principle Accountabilities:</h1><ul><li>
Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.</li><li>
Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.</li><li>
Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.</li><li>
Define technical standards for model deployment, monitoring, and maintenance.</li><li>
Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.</li><li>
Partner with business stakeholders to understand requirements and translate them into technical solutions</li><li>
Establish governance frameworks for AI model lifecycle management</li><li>
Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions</li><li>
Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.</li><li>
Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.</li><li>
Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.</li></ul>
Required Experience and Skills:

AI/ML Expertise<ul><li>
8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.</li><li>
Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.</li><li>
5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.</li><li>
Proficient in large language models and generative AI implementations.</li><li>
Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.</li><li>
Experienced with real-time ML systems and edge computing.</li></ul> 
MLOps and DataOps<ul><li>
Strong knowledge of MLOps practices and tools.</li><li>
Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.</li><li>
Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).</li></ul> 
Cloud and Architecture<ul><li>
Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.</li><li>
Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.</li><li>
Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.</li></ul> 
Governance and Compliance<ul><li>
In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.</li><li>
Knowledgeable in AI/ML regulatory compliance.</li></ul> 
Communication and Collaboration
Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
Educational Qualifications:
<ul><li>A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.</li><li>
Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable</li></ul></div>

SR. DIGITAL ARCHITECT

Scale AI

<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

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Mid/Senior Solution Architect - Qatar

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SR. DIGITAL ARCHITECT

Machine Learning Engineer, Global Public Sector