planning engineer

civil engineer

civil project engineer

mechanical engineer

project engineer

field services engineer

Commercial Bank

<div>
 
 About Commercial Bank Of Qatar
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services.
 
 
 We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 Join us in shaping the future of banking!
 
 
 
 Job Summary
 
 
 
 <ul>
 <li>
 The Senior AI Engineer is responsible for leading the design, development, and deployment of complex Agentic AI solutions and enterprise AI platforms within the Data &amp; AI Lab. This senior role requires deep expertise in AI engineering, cloud architecture, and integration patterns, combined with financial services industry experience.
 </li>
 <li>
 The position serves as a technical leader for AI initiatives, providing guidance on architecture decisions, best practices, and technology selection. The Senior AI Engineer will drive the adoption of AI orchestration frameworks (MCP), cloud-native AI services, and modern AI tooling across the organization.
 </li>
 <li>
 The role requires a balance of hands-on technical delivery and technical leadership, ensuring that AI solutions are production-grade, scalable, and aligned with banking regulatory requirements.
 
 
 </li>
 </ul>
 
 
 Key Accountabilities
 
 
 
 
 <ul>
 <li>
 Agentic AI Architecture &amp; Development
 </li>
 <li>
 Lead the design and implementation of complex Agentic AI solutions including autonomous workflows, multi-agent systems, and enterprise AI orchestration.
 </li>
 <li>
 Define architecture patterns and best practices for AI agent development and Model Context Protocol (MCP) integrations.
 </li>
 <li>
 Drive innovation in AI capabilities, evaluating emerging technologies and recommending adoption strategies.
 </li>
 <li>
 AI Platform Leadership
 </li>
 <li>
 Architect and oversee development of AI platform components including vector stores, embedding pipelines, and retrieval systems.
 </li>
 <li>
 Design scalable document parsing, processing, and metadata extraction frameworks for enterprise knowledge management.
 </li>
 <li>
 Define API standards and integration patterns for AI services consumption across the bank.
 </li>
 <li>
 Cloud Architecture &amp; Infrastructure
 </li>
 <li>
 Lead cloud architecture for AI solutions on Azure and GCP, ensuring scalability, security, and cost optimization.
 </li>
 <li>
 Design event-driven architectures using Kafka for real-time AI applications and streaming use cases.
 </li>
 <li>
 Establish infrastructure standards for model serving on OpenShift/Kubernetes, monitoring, and MLOps practices.
 </li>
 <li>
 Technical Leadership
 </li>
 <li>
 Provide technical mentorship to AI Engineers and contribute to team capability building.
 </li>
 <li>
 Lead technical design reviews, code reviews, and architecture discussions.
 </li>
 <li>
 Ensure adherence to best practices: CI/CD, code management, testing, knowledge management, and documentation.
 </li>
 <li>
 Collaborate with enterprise architecture and IT teams to ensure AI solutions align with bank-wide technology strategy and target data architecture.
 </li>
 <li>
 Stakeholder Engagement
 </li>
 <li>
 Partner with AI Product Owners and business stakeholders to translate requirements into technical solutions.
 </li>
 <li>
 Communicate technical concepts and trade-offs to senior management and steering committees.
 </li>
 <li>
 Contribute to AI governance, ensuring solutions comply with data policies, ethical standards, and regulatory requirements.
 </li>
 <li>
 Define and maintain SLAs for AI solutions, implementing necessary monitoring and alerting.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 AI &amp; ML Engineering
 </li>
 <li>
 Deep expertise in LLMs, embedding models, and generative AI architectures.
 </li>
 <li>
 Advanced experience with AI orchestration frameworks, complex agent development, and multi-agent systems.
 </li>
 <li>
 Expert knowledge of vector databases, RAG architectures, and knowledge retrieval patterns.
 </li>
 <li>
 Strong background in deep learning frameworks (TensorFlow, PyTorch) and model deployment tools (MLflow, TFX).
 </li>
 <li>
 End-to-end ML lifecycle management and model monitoring.
 </li>
 <li>
 Software Engineering
 </li>
 <li>
 Expert proficiency in Python (Advanced level) and AI/ML frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar).
 </li>
 <li>
 Strong experience with API design, microservices architecture, and event-driven architecture.
 </li>
 <li>
 SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries).
 </li>
 <li>
 Git (GitHub/GitLab), CI/CD pipelines, and code management best practices.
 </li>
 <li>
 Cloud &amp; Data Engineering
 </li>
 <li>
 Expert-level experience with cloud platforms (Azure and/or GCP) and object storage (S3, GCS, ABS).
 </li>
 <li>
 Advanced knowledge of Kafka, Spark, and workflow orchestration (Airflow, Apache NiFi).
 </li>
 <li>
 Expert in containerization and orchestration: Docker, K8s (OpenShift).
 </li>
 <li>
 MLOps practices including model monitoring, versioning, and management.
 </li>
 <li>
 Leadership &amp; Communication
 </li>
 <li>
 Proven ability to lead technical initiatives and mentor junior engineers.
 </li>
 <li>
 Strong stakeholder management and communication skills.
 </li>
 <li>
 Data visualization and reporting for executive communication.
 </li>
 <li>
 Experience collaborating across organizational boundaries with IT, security, and compliance teams.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field.
 </li>
 <li>
 7+ years of experience in software engineering with at least 4 years focused on AI/ML applications.
 </li>
 <li>
 Demonstrated experience leading technical delivery of AI solutions in production environments.
 </li>
 <li>
 Expert-level experience with cloud platforms (Azure or GCP), OpenShift/Kubernetes, and enterprise integration patterns.
 </li>
 <li>
 Banking or financial services industry experience is mandatory.
 </li>
 <li>
 Experience with regulatory compliance, data governance, and security in financial services preferred.
 </li>
 <li>
 Relevant certifications (Azure AI Engineer, GCP ML Engineer, or equivalent) strongly preferred.
 
 
 </li>
 </ul>
 
 
 Why Commercial Bank?
 
 
 
 
 <ul>
 <li>
 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective.
 
 
 </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector, blending
 
 digital-first
 
 approach to redefine banking through
 
 innovative
 
 solutions.
 
 
 
 Disclaimer
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>

Senior AI Engineer

EPAM Systems

<div>We're looking for a Senior AI Cloud Architect to join our team in Doha, Qatar in a hybrid working mode. In this role, you will design and govern cloud architecture for an enterprise AI-driven solution that enables well test monitoring, anomaly detection, diagnostics, optimization recommendations and knowledge management.
The position focuses on Microsoft Azure cloud services for a secure, scalable and resilient architecture that aligns with enterprise data platform integration and Azure OpenAI adoption. You will work closely with AI, data, security and infrastructure teams to ensure compliance with cybersecurity, data governance and regulatory requirements.
Responsibilities<ul><li>
Own cloud and solution architecture design across application, data, integration, security and AI layers
</li><li>Define Azure-based architecture covering compute, storage, networking, databases and AI services
</li><li>Establish secure integration with enterprise data platforms and Azure OpenAI services
</li><li>Ensure compliance with cybersecurity, data governance, residency and AI governance standards
</li><li>Define principles, patterns, non-functional requirements and deployment standards for cloud solutions
</li><li>Collaborate with cross-functional teams including AI, DevOps, infrastructure and application engineering
</li><li>Review technical designs to maintain alignment with target architecture
</li><li>Address non-functional aspects such as scalability, performance, resilience, observability and cost optimization
</li><li>Support presales, architecture presentations, technical estimates and solution workshops
</li><li>Identify risks, dependencies and technical constraints related to quotas, connectivity and AI service usage
</li></ul>Requirements<ul><li>
Extensive experience architecting enterprise-scale solutions on Microsoft Azure
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems or a related field
</li><li>Deep understanding of Azure networking, IAM, security, governance and monitoring capabilities
</li><li>Proven experience in designing cloud-native applications and enterprise integration architectures
</li><li>Familiarity with Azure OpenAI, Azure AI services or AI Foundry
</li><li>Strong expertise in relational databases, data platforms, APIs and integration design
</li><li>Knowledge of architecture best practices for scalability, high availability and cost efficiency
</li><li>Experience defining and enforcing architecture governance and non-functional requirements
</li><li>Excellent communication skills with ability to engage technical and business stakeholders
</li><li>Experience providing delivery support, technical estimates and presales input</li></ul>
Nice to have<ul><li>
Experience implementing enterprise Agentic AI or RAG-based solutions
</li><li>Background in highly regulated or security-focused environments
</li><li>Knowledge of Microsoft Fabric as a future migration option
</li><li>Azure Solutions Architect Expert or Azure AI Engineer certifications
</li><li>Familiarity with human-in-the-loop AI solutions or enterprise knowledge bases
</li><li>Industry experience in oil &amp; gas, energy or industrial sectors
</li><li>Arabic language proficiency</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 Cloud Architect

Render

Smart Solutions EngineerLocation: Doha, QatarEmployment Type: Full-TimeAbout UsWe are a fast-growing technology startup focused on delivering innovative Smart Home, Smart Building, and IoT solutions across Qatar. Our portfolio includes automation systems, energy management, security, lighting control, HVAC integration, and AI-enabled smart technologies. We are looking for a passionate engineer who enjoys working with both hardware and software to build the next generation of intelligent buildings.Key Responsibilities<ul><li>Design, install, configure, and commission smart home and smart building systems.</li><li>Integrate lighting, HVAC, security, CCTV, access control, intercom, and IoT devices into a unified platform.</li><li>Configure Tuya, Matter, Zigbee, Z-Wave, Wi-Fi, and other smart automation ecosystems.</li><li>Perform system testing, troubleshooting, and on-site commissioning.</li><li>Prepare technical proposals, system layouts, wiring diagrams, and documentation.</li><li>Provide technical support and training to clients.</li><li>Coordinate with suppliers, contractors, and project teams during implementation.</li><li>Stay up to date with the latest smart technologies and recommend innovative solutions.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree or Diploma in Electrical Engineering, Electronics, Mechatronics, Computer Engineering, or a related field.</li><li>Minimum 2 years of experience in Smart Home, Building Automation, ELV, or IoT systems.</li><li>Strong knowledge of networking, including TCP/IP, Wi-Fi, VLANs, routers, and switches.</li><li>Hands-on experience with one or more platforms such as Tuya, KNX, Control4, Crestron, Loxone, Home Assistant, Matter, Zigbee, or similar.</li><li>Ability to read electrical drawings and technical documentation.</li><li>Strong troubleshooting, communication, and problem-solving skills.</li><li>Valid Qatari driving license is an advantage.</li></ul>Preferred Skills<ul><li>Experience with energy monitoring and automation systems.</li><li>Basic programming or scripting knowledge.</li><li>Understanding of APIs and cloud-based integrations.</li><li>Experience in customer demonstrations and solution design.</li><li>Knowledge of CCTV, access control, and other IP-based systems.</li></ul>If you are passionate about creating intelligent living and working environments and want to be part of a growing technology startup, we would love to hear from you.Pay: From QAR4,000.00 per monthWork Location: In person

Smart solutions engineer

KEO Group

<div>
 
 
 Overview
 
 
 
 KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration &ndash; through conceptualization &ndash; to realization of planning, design or project delivery in the built and natural environments. For over 60 years we&rsquo;ve led with vision, contributing to many of the world&rsquo;s most ambitious projects, iconic places, remarkable experiences and prosperous communities.
 
 
 
 
 
 As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51st largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey.
 
 
 
 
 
 We invite you to join us. Why?
 
 
 
 
 
 When you join KEO, you&rsquo;ll discover more than just a job &ndash; you&rsquo;ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 Our newest opportunity is for a talented
 
 GIS Engineer
 
 , seconded to our Client from government sector in
 
 Doha, Qatar.
 
 
 
 
 
 
 You will be supporting the delivery of asset management and infrastructure projects by developing, maintaining, and analysing GIS data, applications, and spatial information to enable informed operational planning and decision-making.
 
 
 
 
 
 We envisage success in this role to include;
 
 <ul>
 <li>
 Managing and maintaining GIS databases, spatial data, and online GIS applications to support operational and project requirements.
 </li>
 <li>
 Developing GIS tools, spatial databases, and SQL-based solutions to improve data management, reporting, and business processes.
 </li>
 <li>
 Collecting, validating, analysing, and maintaining spatial data from multiple sources, ensuring accuracy, integrity, and quality.
 </li>
 <li>
 Producing maps, geo-spatial reports, and analytical outputs to support asset management, operational planning, and decision-making.
 </li>
 <li>
 Reviewing and interpreting as-built drawings, aerial imagery, maps, and technical documentation, identifying and resolving data discrepancies.
 </li>
 <li>
 Conducting site visits and field inspections to verify spatial information and support data collection activities.
 </li>
 <li>
 Collaborating with internal stakeholders to provide GIS expertise and spatial information that supports business objectives.
 </li>
 <li>
 Preparing technical documentation, maintaining GIS records, and adhering to Health, Safety, and Environmental (HSE) policies and workplace procedures.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 To be successful in this dynamic opportunity, we envision that your career journey to date will include
 
 10+ years of relevant experience
 
 , partnered with a
 
 Bachelor's degree in Engineering or a related discipline
 
 .
 
 Demonstrated expertise in GIS database management, spatial analysis, SQL development, and ESRI-based GIS platforms is essential
 
 .
 
 
 
 
 
 Furthermore, we would expect the following:
 
 <ul>
 <li>
 A minimum of 10 years' experience in a similar GIS or Geospatial Engineering role.
 </li>
 <li>
 Proven experience developing SQL scripts and managing spatial databases.
 </li>
 <li>
 Strong working knowledge of
 
 ESRI ArcGIS, ArcGIS Server, and web-based GIS solutions, with experience in Microsoft C#.NET, Python, or VBA
 
 considered advantageous.
 </li>
 <li>
 Experience interpreting engineering drawings, managing asset information, and producing spatial analysis and GIS reporting.
 </li>
 <li>
 Professional accreditation from a recognised GIS institute or relevant professional body would be advantageous.
 </li>
 <li>
 A qualification or certification obtained in North America, Western Europe, or Australia would be preferred.
 </li>
 <li>
 A valid Qatar driving licence would be advantageous.
 </li>
 <li>
 Proficiency in Microsoft Office applications, particularly Microsoft Excel.
 </li>
 </ul>
 
 
 
 
 KEO&rsquo;s performance is founded upon integrity, results, innovation, safety and our people. We embrace diversity and recognise its&rsquo; contribution to client success wherever we work.
 
 
 
 
 
 We are excited to hear how you can partner with our award-winning team and treat all expressions of interest confidentially.
 
</div>

Geographic Information Systems Engineer

Acciona- Qatar

The Lead Process Improvement Engineer – Facility Management is responsible for driving continuous improvement, operational excellence, quality assurance and cost optimisation across Facility Management operations.The role works closely with operational, technical and commercial teams to assess actual service delivery, identify performance and cost gaps, improve processes and ensure consistent compliance with contractual requirements, internal standards and industry best practices.This is a highly field-driven and analytical role, requiring regular engagement with operational sites, clients and internal stakeholders across both Hard and Soft FM Services.<h2>Key Responsibilities</h2><h3>Operational Excellence &amp; Site Performance</h3><ul><li>Conduct regular site visits and operational assessments to evaluate actual service delivery and performance.</li><li>Identify gaps between reported performance and actual site conditions.</li><li>Review Hard and Soft FM service delivery and recommend practical improvements.</li><li>Identify operational risks and support site teams in implementing effective corrective measures.</li><li>Challenge existing working practices where required and promote greater consistency across FM contracts.</li><li>Support the standardisation of processes, procedures and operational best practices across sites.</li></ul><h3>Process Improvement &amp; Continuous Improvement</h3><ul><li>Lead continuous improvement and process optimisation initiatives across FM operations.</li><li>Analyse existing workflows and identify opportunities to improve efficiency, productivity, quality and cost.</li><li>Develop and implement improved processes in coordination with operational and functional teams.</li><li>Lead Root Cause Analysis (RCA) for recurring operational failures and service issues.</li><li>Ensure corrective and preventive actions are implemented and monitored through to closure.</li><li>Apply Lean, Six Sigma, TQM and other recognised process improvement methodologies where appropriate.</li></ul><h3>Quality Assurance, Audits &amp; Compliance</h3><ul><li>Conduct structured operational, quality and performance audits across FM contracts.</li><li>Identify non-conformances and areas for improvement.</li><li>Develop, monitor and close corrective action plans.</li><li>Ensure operational activities comply with contractual requirements, internal procedures and relevant industry standards.</li><li>Support implementation and maintenance of applicable ISO management systems and FM best practices.</li></ul><h3>SLA, KPI &amp; Performance Management</h3><ul><li>Review and optimise SLA and KPI frameworks in line with contractual requirements.</li><li>Analyse operational performance and identify trends, recurring issues and areas requiring management intervention.</li><li>Develop dashboards, reports and performance presentations.</li><li>Translate operational data into clear and actionable recommendations for management and site teams.</li><li>Support continuous improvement of service quality and client satisfaction.</li></ul><h3>Commercial &amp; Cost Optimisation</h3><ul><li>Support budgeting, estimation and pricing activities from an operational and technical perspective.</li><li>Review existing cost structures, resource assumptions and estimation methodologies.</li><li>Identify inefficiencies, cost leakage, overestimation and opportunities for optimisation.</li><li>Recommend cost-effective operational solutions without compromising service quality or contractual compliance.</li><li>Support alignment between commercial assumptions and actual operational requirements.</li><li>Contribute to cost reduction and efficiency initiatives across both live contracts and new bids/tenders.</li></ul><h3>Client &amp; Stakeholder Engagement</h3><ul><li>Engage with clients and key stakeholders to understand operational concerns and service expectations.</li><li>Support proactive resolution of service delivery issues.</li><li>Work closely with Operations, Technical, Commercial, Estimation, QHSE and other functional teams.</li><li>Promote a culture of continuous improvement, accountability and operational excellence across FM operations.</li></ul><h3>ESG &amp; Sustainability</h3><ul><li>Support sustainability and ESG initiatives across FM contracts.</li><li>Identify opportunities for improved energy efficiency, waste management and environmental performance.</li><li>Support compliance with environmental and sustainability requirements.</li><li>Contribute to relevant ESG, energy and sustainability reporting.</li></ul><h2>Qualifications &amp; Experience</h2><h3>Education</h3>Bachelor’s Degree in one of the following or a related discipline:<ul><li>Mechanical Engineering</li><li>Electrical Engineering</li><li>Industrial Engineering</li><li>Environmental Engineering</li><li>Building Services Engineering</li><li>Facilities/Asset Management Engineering</li></ul><h3>Experience</h3><ul><li>Minimum 8–10 years of relevant experience within Facility Management.</li><li>Strong experience in process improvement, operational excellence and/or Total Quality Management (TQM).</li><li>Demonstrable experience working directly with FM site operations.</li><li>Strong understanding of both Hard and Soft FM Services.</li><li>Experience conducting operational audits, quality assessments and performance reviews.</li><li>Experience managing SLA/KPI frameworks and corrective action processes.</li><li>Exposure to estimation, budgeting, resource optimisation and operational cost analysis is highly desirable.</li></ul><h2>Certifications</h2><ul><li>Lean Six Sigma Black Belt – highly preferred/required</li><li>Strong Lean Six Sigma Green Belt candidates with demonstrable process improvement experience may be considered.</li><li>ISO 9001 Internal Auditor certification preferred.</li><li>Recognised Facility Management certification is advantageous.</li></ul><h2>Technical Knowledge</h2>Candidates should demonstrate good working knowledge of:<ul><li>Hard Services / MEP maintenance</li><li>Soft Services operations</li><li>Asset and maintenance management</li><li>Cleaning standards and best practices</li><li>Waste management and environmental practices</li><li>Quality Management Systems</li><li>Root Cause Analysis</li><li>SLA and KPI development</li><li>Process mapping and optimisation</li><li>Cost and resource optimisation</li><li>CAFM/CMMS environments</li></ul>Knowledge of relevant international standards is advantageous, including:<ul><li>ISO 9001 – Quality Management</li><li>ISO 14001 – Environmental Management</li><li>ISO 41001 – Facility Management</li><li>ISO 45001 – Occupational Health &amp; Safety</li><li>ISO 50001 – Energy Management</li></ul><h2>Systems &amp; Tools</h2>Strong proficiency in:<ul><li>Microsoft Excel</li><li>Microsoft PowerPoint</li><li>Microsoft Word</li></ul>Experience with some of the following is advantageous:<ul><li>Power BI or similar data visualisation tools</li><li>Microsoft Visio or equivalent process mapping tools</li><li>CAFM/CMMS platforms</li><li>MS Project</li><li>Primavera P6</li><li>Monday.com</li><li>Asana</li><li>Jira</li><li>Trello</li><li>Root Cause Analysis tools including 5 Whys and Fishbone Analysis</li></ul><h2>Key Competencies</h2>The successful candidate should be:<ul><li>Highly proactive and comfortable working independently</li><li>Field-driven with a strong understanding of actual site operations</li><li>Analytical and data-driven</li><li>Commercially aware and cost-conscious</li><li>Confident challenging existing processes and operational practices</li><li>Strong in problem-solving and Root Cause Analysis</li><li>Capable of influencing operational teams and stakeholders</li><li>Focused on measurable and sustainable improvement</li><li>Able to manage multiple contracts, priorities and improvement initiatives simultaneously</li><li>Strong in reporting, presentation and stakeholder communication</li></ul>The role requires an individual who can combine technical FM knowledge, process improvement expertise and commercial awareness to deliver measurable improvements in service quality, efficiency, compliance and cost performance.

Lead Process Improvement Engineer – Facility Management

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>
 
 For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted.
 
 
 Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.
 
 
 
 
 
 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

Confidential

<h2>Job Summary</h2>The Facility Management Engineer – Civil will support the delivery of civil maintenance and FM services, ensuring works are completed safely, efficiently, and in accordance with contractual requirements and applicable Qatar standards.<h2>Key Responsibilities</h2><ul><li>Manage and monitor preventive and corrective civil maintenance activities.</li><li>Conduct inspections and identify building and civil defects.</li><li>Coordinate technicians, contractors, and maintenance activities.</li><li>Prepare technical reports, work plans, and corrective action recommendations.</li><li>Monitor work quality and compliance with SLAs and KPIs.</li><li>Ensure compliance with Qatar codes, HSE, quality, and environmental requirements.</li><li>Support project and FM management activities.</li></ul><h2>Requirements</h2><ul><li>Bachelor's degree in Civil Engineering or equivalent.</li><li>Minimum 3 years' experience in Facility Management and/or Project Management within the GCC.</li><li>UPDA/MMUP Grade B or C – mandatory.</li><li>Strong knowledge of civil maintenance works.</li><li>Good understanding of Qatar standards and codes.</li><li>Fluent in Arabic and English – mandatory.</li><li>Strong analytical, communication, planning, and problem-solving skills.</li></ul>

Facility Management Engineer – Civil

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