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ai applications ops lead gps

Scale AI

<div>
 Role Overview
 
 
 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>
 As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling 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 founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
 </li>
 <li>
 Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
 </li>
 <li>
 Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
 </li>
 <li>
 Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
 </li>
 <li>
 Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
 </li>
 <li>
 Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
 </li>
 <li>
 Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.
 
 
 </li>
 </ul>
 
 Ideally, you have:
 
 
 
 <ul>
 <li>
 Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
 </li>
 <li>
 Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
 </li>
 <li>
 System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
 </li>
 <li>
 Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
 </li>
 <li>
 Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
 </li>
 <li>
 Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
 </li>
 <li>
 Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.
 
 
 </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>

AI Applications Ops Lead, GPS

<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

Goldman Sachs

<div>
 
 Job Description
 
 
 
 
 Role Overview
 
 
 
 The Lead Product Security Engineer position within the Asset and Wealth Management division and will be responsible for defining and evaluating solutions by closely working with the engineering teams to improve overall cybersecurity risk posture of the firm. This role is pivotal in balancing commercial objectives with robust security controls, ensuring the division's resilience against an evolving threat landscape, and protecting client assets and data.
 
 
 The objective is to foster a unified and proactive approach to risk management through early design review and penetration testing engagements with the engineering BU teams and enabling secure technological innovation across all Asset and Wealth Management initiatives.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 This position is hands-on and requires close collaboration with Product Management, Engineering, Program Management, and Dev Ops teams.
 </li>
 <li>
 Responsible for security of applications (Cloud/Web/API/Mobile) managed by Asset and Wealth Management (AWM) in conjunction with centralized security teams
 </li>
 <li>
 Act as a security advisor to architects, developers, analysts and others to ensure we design confidentiality, integrity, resiliency, and privacy into the platform
 </li>
 <li>
 Partner with business units to understand requirements, design proposals and evaluate architectural flaws for various on-prem/cloud architectures
 </li>
 <li>
 Evaluate the effectiveness of existing key controls, identify gaps, and recommend improvements to mitigate risks and enhance firm&rsquo;s security posture
 </li>
 <li>
 Supervise, coach, and develop a small team of application security specialists
 </li>
 <li>
 Drive adoption of embedded application security controls as part of the Software Development Life Cycle (SDLC) in Agile methodology, including automated tools.
 </li>
 <li>
 Perform secure code reviews and facilitating or conducting penetration testing
 </li>
 <li>
 Assist in implementation of security related product features such authentication, cryptography, authorization, service integration, etc.
 </li>
 <li>
 Develop, maintain, and improve Technology Risk Program reflecting new emerging risks
 </li>
 <li>
 Enable the business to meet security requirements by design
 
 
 </li>
 </ul>
 
 Skills And Experience Required
 
 
 
 <ul>
 <li>
 6 plus years' experience in secure architecture design, application security, and risk analysis techniques or related fields.
 </li>
 <li>
 Energetic, self-directed and self-motivated, able to build and sustain long-term relationships with colleagues.
 </li>
 <li>
 Must have experience managing multiple tasks and using sound judgment when managing risks, prioritizing and escalating.
 </li>
 <li>
 Must be able to work with deeply technical engineers, identify gaps that need addressing, and hold them to account.
 </li>
 <li>
 Security testing methodologies, tools and techniques - understanding of common application security vulnerabilities and controls to remediate.
 </li>
 <li>
 Expert knowledge of application security best practices including OWASP and CWE and cloud related concepts
 </li>
 <li>
 Hands-on software development and/or application Penetration Testing experience in complex environments an advantage
 </li>
 <li>
 The successful candidate will be able to balance project management trade-offs, own decisions and communicate effectively with senior stakeholders across business, partners, vendors, internal technology stakeholders and technology peers, with an eye towards influencing and driving positive business outcomes.
 </li>
 <li>
 Strong desire to learn and contribute solutions and ideas to a broad team.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experienced in Financial Services/Fintech
 </li>
 <li>
 BS or MS degree in Computer Science, Cyber Security, Information Security, or a related technical field.
 </li>
 <li>
 Experience with leveraging AI/ML to solve security problems and scale operations.
 </li>
 <li>
 Knowledge of secure coding languages (e.g., Python, Java, Go).
 </li>
 <li>
 Cloud related experiences
 </li>
 <li>
 CSSLP / CISSP / CCSP / OSCP is a plus
 
 
 </li>
 </ul>
 
 About Goldman Sachs
 
 
 
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
 
 
 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
 
 
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 
 
 &copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
 
 
 Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
</div>

Asset & Wealth Management - Doha - Vice President - Security Engineering

<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>
 Building custom AI applications that will impact millions of citizens and government employees
 </li>
 <li>
 Generating high-quality training data for custom LLMs
 </li>
 <li>
 Upskilling and AI advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As Product Delivery &amp; Operations Lead in Doha, you will be the operational cornerstone for a key strategic region, designing, building, and running the critical systems that enable the team's hyper-growth and delivery success. You will help translate vision into execution, streamline how our technical team builds and ships products, and ensure clarity, alignment and operational excellence across a growing global team.
 
 
 This is a role for someone who thrives at the intersection of product, people, and process - someone who can take ownership like a founder, operate like a systems designer, and execute like a product manager.
 
 
 What you'll do
 
 
 <ul>
 <li>
 Be the connective tissue across the Engineering, Product and Design teams - driving alignment, clarity, and prioritization across all initiatives and projects
 </li>
 <li>
 Own knowledge management and internal tooling, ensuring the team operates efficiently at scale. Deep expertise in Notion is critical - you&rsquo;ll design, manage, and evolve the team&rsquo;s central knowledge base, project trackers, decision logs etc
 </li>
 <li>
 Build and maintain systems for project tracking, staffing and performance reporting
 </li>
 <li>
 Partner with Finance and Legal to streamline procurement, budgeting, and contract processes to positively impact delivery timelines. You&rsquo;ll also support the team on revenue recognition tracking and spend monitoring for projects.
 </li>
 <li>
 Design and operationalize new processes that make product development and data delivery faster, higher quality and more predictable
 </li>
 <li>
 Serve as a force multiplier for technical leadership - helping anticipate needs, prepare materials and communicate priorities internally and externally
 </li>
 <li>
 Lead internal enablement and upskilling initiatives, ensuring the team continuously improves its product development muscle.
 
 
 </li>
 </ul>
 Ideally, you'd have
 
 
 <ul>
 <li>
 5+ years of experience in product, strategy or business operations roles, preferably within a high-growth technology company or top-tier consulting/finance firm.
 </li>
 <li>
 Proven ability to design and scale systems that help technical teams operate with clarity and velocity.
 </li>
 <li>
 Exceptional analytical skills with a penchant for digging deep into the data, thinking from first principles, and iterating quickly to deliver results.
 </li>
 <li>
 Strong familiarity with Notion, plus adjacent productivity tools (e.g., Asana, Airtable, Coda, Slack integrations).
 </li>
 <li>
 Experience working in or with the Middle East, with an understanding of the regional business and regulatory environment, is a plus.
 </li>
 <li>
 Fluency in English is required; proficiency in Arabic is a strong advantage.
 
 
 </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>

Product Delivery & Operations Lead

Iberdrola

<div>Iberdrola Innovation Middle East, we are building a suite of highly scalable, cloud-native SaaS products and need a hands-on Senior Software Developer to lead the technical change within one of our core development squads. We are looking for a true builder, someone who loves to write clean, efficient code, understands how to scale applications to handle multi-tenant workloads, and has engineering best practices (CI/CD, automated testing) coded into his/her DNA. You will not only be the technical anchor for your small team of developers, guiding them by example, but you will also collaborate closely with senior developers from other squads to ensure our entire platform shares a cohesive, modern technology stack.
<ul><li>Primary mission : Lead the hands-on development of scalable, cloud-native SaaS features while setting the standard for code quality, automation, and technical alignment within your squad.
</li><li>Key stakeholders : Squad Software Developers, Product Manager, Data/AI Engineers, and Senior Developers from other squads.
</li><li>Employment type : Full-time
</li></ul>Jobs To Be Done
<ul><li>Hands-on Backend Development: Write robust, scalable, and maintainable backend code (primarily Java) for our core SaaS features, ensuring the underlying services can seamlessly handle high-traffic, multi-tenant growth.</li>
<li>Engineering Excellence &amp; Automation: Champion and implement automated testing, continuous integration, and continuous deployment (CI/CD) pipelines within the squad. Ensure that quality, security, and deployment automation are treated as foundational requirements, not afterthoughts.</li>
<li>Cross-Squad Technical Alignment: Collaborate frequently with senior developers from the other squads. Share knowledge, align on common technical patterns, and ensure your squad's deliverables integrate perfectly into the broader cloud platform.</li>
<li>System Design &amp; Implementation: Make pragmatic decisions about the right tools for the job. Design efficient APIs (REST and/or GraphQL), build containerized microservices (Docker), and select the most appropriate data storage solutions (SQL vs. NoSQL) based on specific use cases.</li>
<li>Cross-functional Integration: Work closely with Data Engineers and Data Scientists, leveraging your foundational understanding of Python, to seamlessly integrate AI models and data pipelines into the core SaaS application.</li>
<li>Technical Mentorship: Act as the technical anchor for a small team of developers. Guide them through complex coding challenges, conduct rigorous code reviews, and foster a culture of continuous learning and high-quality software craftsmanship.</li>
</ul>Education Requirements
<ul><li>Minimum: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or equivalent deep, verifiable hands-on software engineering experience.</li>
<li>Preferred: Master&rsquo;s degree or relevant technical certification in Software Engineering or cloud platforms.</li>
<li>Licenses/Accreditations (nice to have): Professional Google Cloud Developer (highly preferred). Other respected technical certifications (e.g., Professional Google Cloud Architect) are a plus.</li>
</ul>Experience
<ul><li>Years of experience: 6&ndash;8+ years of hands-on software engineering, with a strong focus on backend development for scalable web or SaaS applications.</li>
<li>Domain exposure: Cloud environments (Google Cloud preferred, but AWS/Azure is acceptable), microservices, containerization (Docker), API design, and a solid understanding of modern database ecosystems.</li>
<li>Leadership/ownership: Proven experience technically guiding small development teams, owning complex feature deliveries from code to production, and actively driving engineering best practices within a team.</li>
</ul>Skills and Competencies
<ul><li>Technical:</li>
<li>Backend Development (Expert in Java or Node.js; strong preference for Java) &mdash; Must-have</li>
<li>Cloud-Native &amp; Containerization (Docker, Microservices) &mdash; Must-have</li>
<li>Database selection and data modeling (SQL and NoSQL) &mdash; Must-have</li>
<li>API Design &amp; Implementation (REST, GraphQL) &mdash; Must-have</li>
<li>CI/CD, Automated Testing, and Code Quality practices &mdash; Must-have</li>
<li>Foundational Python (enough to understand and collaborate with Data/AI engineers) &mdash; Must-have</li>
<li>Cloud Platforms (Google Cloud / GCP) &mdash; Nice-to-have (highly preferred)</li>
<li>Behavioural: Lead by Example (highly hands-on), Pragmatic Problem-Solving, Team Collaboration, Quality-First Mindset, and excellent communication skills to coordinate with other squads..</li>
<li>Tools/Systems: Git, CI/CD platforms (GitHub Actions, Google Cloud Build, etc.), Docker, Relational and Non-Relational DB engines.</li>
</ul>Why Us
<ul><li>Career growth: Be a technical pillar in a rapidly growing SaaS platform. You will define the engineering culture of your squad, work closely with cutting-edge AI/Data teams, and have the autonomy to build things the right way.</li>
<li>Culture: We have an engineering-first, builder mindset. We value working software and hands-on validation over endless theoretical debates. You will be a key technical leader in an international, highly skilled environment.</li>
<li>Rewards: Competitive tax-free salary in Qatar, comprehensive health benefits, relocation assistance, and modern workplace perks, among others.</li> 
</ul> 
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. 
 
Job Posting End Date: 
 
 
julio-31-2026</div>

Senior Software Developer

<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:
 
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Applied AI Engineer, Global Public Sector

Al Khuwair Construction

About UsAl Khuwair Construction is a leading construction and infrastructure development company specializing in residential, commercial, industrial, and civil engineering projects. We are committed to delivering high-quality construction solutions through innovation, safety, operational excellence, and sustainable growth.As part of our digital transformation strategy, we are seeking a visionary and experienced AI Technology Director to lead the adoption and implementation of artificial intelligence technologies that will enhance project delivery, operational efficiency, safety performance, and business intelligence across the organization.Position OverviewThe AI Technology Director will be responsible for developing and executing the company's AI strategy, identifying opportunities for innovation, and leading the deployment of advanced technologies across construction operations, project management, engineering, procurement, and corporate functions. This executive leadership role will work closely with senior management to drive technology-enabled growth and competitive advantage.Key Responsibilities<ul><li>Develop and implement the company's artificial intelligence and digital innovation strategy</li><li>Identify opportunities to leverage AI, machine learning, predictive analytics, automation, and data science across construction and engineering operations</li><li>Lead enterprise-wide AI initiatives that improve project planning, scheduling, resource allocation, cost management, and risk assessment</li><li>Oversee the design, development, deployment, and management of AI-powered solutions and intelligent business systems</li><li>Implement predictive analytics for project forecasting, equipment maintenance, workforce planning, and operational performance</li><li>Utilize AI technologies to enhance safety monitoring, quality assurance, and compliance management</li><li>Establish AI governance frameworks, cybersecurity standards, data privacy controls, and ethical AI practices</li><li>Collaborate with executive leadership to align technology investments with business objectives</li><li>Lead multidisciplinary teams of AI engineers, data scientists, software developers, analysts, and technology professionals</li><li>Evaluate emerging technologies, strategic partnerships, and vendor solutions</li><li>Develop advanced business intelligence platforms and reporting capabilities</li><li>Manage AI project portfolios, budgets, timelines, resources, and performance metrics</li></ul>Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field</li><li>Master's degree, MBA, or PhD preferred</li><li>Minimum 8+ years of progressive technology leadership experience</li><li>Proven experience implementing AI, machine learning, automation, and advanced analytics solutions within enterprise environments</li><li>Strong knowledge of cloud computing, data engineering, AI platforms, enterprise systems, and cybersecurity frameworks</li><li>Experience leading digital transformation and innovation initiatives</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Strong strategic thinking, analytical, and problem-solving capabilities</li></ul>Preferred Qualifications<ul><li>Experience within construction, engineering, infrastructure, industrial services, or project-based industries</li><li>Knowledge of Building Information Modeling (BIM), construction management software, digital twins, IoT technologies, and smart construction solutions</li><li>Experience with predictive maintenance, computer vision, intelligent automation, and AI-driven project controls</li><li>Professional certifications in AI, cloud technologies, project management, cybersecurity, or data science are highly desirable</li><li>Familiarity with construction regulations, safety standards, and large-scale infrastructure projects</li></ul>What We Offer<ul><li>Competitive executive-level compensation package</li><li>Performance-based bonus opportunities</li><li>Comprehensive health and benefits program</li><li>Professional development and executive leadership growth opportunities</li><li>Innovative and technology-focused work environment</li><li>Opportunity to lead transformative AI initiatives within a growing construction organization</li><li>Direct involvement in strategic planning, digital transformation, and business innovation</li><li>Long-term career growth and leadership opportunities</li></ul>Pay: QAR45,000.00 - QAR50,000.00 per monthWork Location: In person

AI Technology Director

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