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ai applications ops lead, gps

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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, Cisco, DLA Piper, 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>
 At Scale, we develop reliable AI systems for the world&rsquo;s most important decisions. As Scale&rsquo;s Field Marketing and Events team continues to grow alongside our expanding Global Public Sector (GPS) business unit, we seek a talented and motivated Field Marketing and Events Associate to support our Marketing and Communications team in their event and field marketing initiatives. These initiatives include, but are not limited to, third-party trade show sponsorships, Scale-hosted executive events, Scale-hosted webinars, and our annual GPS flagship conference, Scale AI Base Camp.
 
 
 You will join a rapidly growing part of the business with the opportunity to support event execution, impact lead generation, and pipeline growth, and contribute to event programming with the largest names in AI. The successful candidate will have a solid understanding of event coordination, strong project management skills, a strategic mindset, and a passion for AI and technology.
 
 
 
 Event Planning &amp; Execution
 
 
 
 <ul>
 <li>
 Support the execution of all planning and logistics for regional (EMEA) conferences and events, including but not limited to: Global Public Sector executive dinners, sponsorship activations, executive speaking engagements, and sponsored conferences.
 </li>
 <li>
 Support event sponsorship programs by tracking assets, deliverables, and engagement opportunities across events.
 </li>
 <li>
 Assist in coordinating Scale&rsquo;s annual GPS conference, Scale AI Base Camp, including venue and supplier relations, logistics, and attendee invites.
 </li>
 <li>
 Coordinate support for GPS participation in Scale&rsquo;s annual AI Leadership Summit, focusing on attendee invites and speaker outreach where required.
 </li>
 <li>
 Maintain organised event plans, trackers, and internal documentation to ensure smooth execution and visibility across the Global Public Sector team and other business units.
 </li>
 <li>
 Partner with Product Marketing and design to help coordinate collateral, signage, digital assets, and other event materials.
 </li>
 <li>
 Assist with core operational tasks, including invoicing, expense tracking, and budget monitoring.
 </li>
 <li>
 Interface with internal executive teams to support their participation in Scale-hosted events.
 
 
 </li>
 </ul>
 
 Marketing Collaboration &amp; Operations
 
 
 
 <ul>
 <li>
 Align with growth marketing on marketing campaigns and event reporting.
 </li>
 <li>
 Collaborate cross-functionally with GTM, Product Marketing, Communications, Growth Marketing, Brand, and EPD teams to consistently articulate Scale AI&rsquo;s vision and value proposition.
 </li>
 <li>
 Track event campaign performance and ROI through Salesforce, providing detailed recaps and metrics.
 
 
 </li>
 </ul>
 
 Travel
 
 
 
 <ul>
 <li>
 Willingness to travel up to 40% in order to execute on in-person events across international locations.
 
 
 </li>
 </ul>
 
 Ideally You'd Have:
 
 
 
 <ul>
 <li>
 3+ years of experience in event management, including previous work experience within GCC countries.
 </li>
 <li>
 Experience supporting events ranging from 30 to 500+ attendees.
 </li>
 <li>
 Strong project management skills with the ability to multi-task while liaising across internal teams and multiple stakeholders.
 </li>
 <li>
 Impeccable attention to detail and a proactive, self-starting approach to troubleshooting.
 </li>
 <li>
 Strong vendor management skills.
 </li>
 <li>
 Must be punctual, professional, reliable, self-motivated, and results-driven.
 </li>
 <li>
 Excellent communication skills for interfacing with the world&rsquo;s leading executives and their teams.
 
 
 </li>
 </ul>
 
 Nice to Haves:
 
 
 
 <ul>
 <li>
 Native or proficient in Arabic.
 </li>
 <li>
 Experience with Hubspot, Salesforce, and project management tools.
 </li>
 <li>
 Collaborative attitude and the ability to work effectively across various timezones.
 
 
 </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, Cisco, DLA Piper, 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>

Field Marketing & Events Manager, GPS

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 We are looking for an AI Security Engineer to help ensure that AI tools and AI-powered solutions used in the company are secure. This role supports the safe adoption of AI technologies across the company. The engineer will review internal AI projects, external AI vendors, AI integrations, and AI-generated solutions to ensure they follow company security requirements and data protection rules
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 
 AI Tool &amp; Vendor Security Review
 
 
 
 <ul>
 <li>
 Review AI tools, AI vendors, and AI-enabled SaaS applications before approval for company use
 </li>
 <li>
 Conduct security and risk assessments for third-party AI solutions
 </li>
 <li>
 Evaluate vendor security posture and data handling practices
 </li>
 <li>
 Ensure AI tools comply with company security policies and data protection standards
 </li>
 <li>
 Maintain and update an inventory of AI tools and AI integrations used across the organization
 
 
 </li>
 </ul>
 
 AI Application Security
 
 
 
 <ul>
 <li>
 Assess AI-powered applications and AI-enabled workflows for security risks
 </li>
 <li>
 Review AI connectors, plugins, APIs, and integrations used by internal applications
 </li>
 <li>
 Evaluate security risks in AI-generated or AI-assisted code
 </li>
 <li>
 Implement Security Controls for AI Solutions
 </li>
 <li>
 Provide guidance to engineering teams on secure AI integration practices
 </li>
 <li>
 Review prompt templates and AI workflows to prevent prompt injection or sensitive data exposure
 </li>
 <li>
 AI Risk Assessment &amp; Threat Modelling
 </li>
 <li>
 Perform threat modelling for AI-enabled applications and automated workflows
 
 
 </li>
 </ul>
 
 Identify risks including
 
 
 
 <ul>
 <li>
 Prompt injection attacks
 </li>
 <li>
 Sensitive data leakage
 </li>
 <li>
 Insecure AI integrations
 </li>
 <li>
 Unauthorized access to AI systems
 </li>
 <li>
 Misuse of AI-generated outputs
 </li>
 <li>
 Recommend appropriate mitigation strategies and security control.
 
 
 </li>
 </ul>
 
 Data Protection &amp; AI Governance
 
 
 
 <ul>
 <li>
 Ensure sensitive data is not exposed to AI tools in violation of company data protection policies
 </li>
 <li>
 Define best practices for safe employee usage of AI tools
 </li>
 <li>
 Support implementation of internal AI usage policies and governance frameworks
 </li>
 <li>
 AI Security Monitoring &amp; Incident Response
 </li>
 <li>
 Monitor AI tool usage patterns to detect abnormal or potentially risky activity
 </li>
 <li>
 Support investigation and response for security incidents involving AI tools or AI integrations
 </li>
 <li>
 Identify threats related to AI technologies and recommend mitigation actions
 
 
 </li>
 </ul>
 
 Security Framework Alignment
 
 
 
 <ul>
 <li>
 Align AI security practices with recognized frameworks such as:
 </li>
 <li>
 NIST AI Risk Management Framework
 </li>
 <li>
 OWASP Top 10 for LLM Applications
 </li>
 <li>
 ISO/IEC 42001 AI Management System
 </li>
 <li>
 Support documentation and evidence preparation for audits or compliance reviews related to AI usage.
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 2&ndash;4 years of experience in Cyber Security, Security Engineering, or Security Operations.
 </li>
 <li>
 Experience reviewing applications, SaaS tools, or vendors from a security perspective.
 
 
 </li>
 </ul>
 
 Basic Understanding Of
 
 
 
 Authentication and access control
 
 
 API security
 
 
 Encryption
 
 
 Logging and monitoring
 
 
 <ul>
 <li>
 Familiarity with cloud platforms such as AWS and GCP.
 </li>
 <li>
 Ability to identify security risks in AI tools or AI-generated applications.
 </li>
 <li>
 Good communication and documentation skills
 </li>
 <li>
 Exposure to AI governance concepts (acceptable use, tool inventories, data classifications) even if informal
 </li>
 <li>
 Experience partnering with Legal/Privacy or Compliance on control mapping/evidence.
 </li>
 <li>
 Understanding of AI and Large Language Model (LLM) architectures
 </li>
 <li>
 Exposure to AI governance concepts including AI acceptable use policies and tool inventories
 </li>
 <li>
 Experience working with Legal, Privacy, or Compliance teams on control reviews
 </li>
 <li>
 Experience supporting secure development practices or reviewing application code
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more &ndash; all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed
 
 : &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 
 🏅Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results
 
 : &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes
 
 &ndash; Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters
 
 &ndash; Learning budgets, access to courses, and tools for your growth.
 
 
 🚒
 
 Builder&rsquo;s Playground
 
 &ndash; Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off
 
 &ndash; We take recharging seriously. Generous leave and wellness policies.
 
 
 🛠️
 
 Agile Everything
 
 &ndash; Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Great Place to Work&reg; Certified
 
 
 
 We&rsquo;re certified as a Great Place to Work&reg;, a recognition that celebrates a culture we&rsquo;ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.
 
 
 
 Certified for Excellence
 
 
 
 Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build apps. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

AI Security Engineer

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 
 Team Leadership
 
 
 
 <ul>
 <li>
 Lead a cross-functional engineering team focused on Python applications, AI/ML services, and data-driven platforms.
 </li>
 <li>
 Mentor Senior, Middle, and Junior Engineers, ensuring alignment with engineering standards and ML project requirements.
 </li>
 <li>
 Set short-, mid-, and long-term goals for the team, continuously supporting skill growth in software engineering and ML system design.
 </li>
 <li>
 Coordinate with Product, Data Science, QA, DevOps, and Platform Leads to ensure the successful delivery of AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Architecture &amp; System Design
 
 
 
 <ul>
 <li>
 Drive end-to-end architecture and design for AI/ML applications, model-serving infrastructure, and Python backend services.
 </li>
 <li>
 Oversee architectural decisions for scalable model deployment (REST APIs, streaming pipelines, batch systems), ensuring performance, reliability, and maintainability.
 </li>
 <li>
 Define standards for feature engineering pipelines, data ingestion flows, and integration with MLOps platforms.
 </li>
 <li>
 Break down complex AI/ML initiatives into actionable engineering tasks and clear technical roadmaps.
 
 
 </li>
 </ul>
 
 AI/ML System Delivery
 
 
 
 <ul>
 <li>
 Collaborate with Data Scientists to productionize ML models, ensuring reproducibility, versioning, and monitoring.
 </li>
 <li>
 Lead implementation of model-serving frameworks, vector databases, data processing jobs, and inference optimization strategies.
 </li>
 <li>
 Ensure adherence to best practices in experiment tracking, model evaluation, and A/B testing for ML features.
 
 
 </li>
 </ul>
 
 Process Improvement &amp; Engineering Excellence
 
 
 
 <ul>
 <li>
 Improve development workflows, CI/CD pipelines, and ML lifecycle automation.
 </li>
 <li>
 Promote coding standards, technical documentation, and reduction of technical debt across AI/ML projects.
 </li>
 <li>
 Introduce new tools and technologies that enhance model performance, data quality, and engineering productivity.
 
 
 </li>
 </ul>
 
 Recruitment, Culture &amp; Knowledge Sharing
 
 
 
 <ul>
 <li>
 Participate in hiring for both backend and ML-focused engineering roles.
 </li>
 <li>
 Facilitate knowledge-sharing sessions around ML system architecture, Python best practices, and cloud-native development.
 </li>
 <li>
 Strengthen team culture through collaboration, mentorship, and proactive communication.
 
 
 </li>
 </ul>
 
 Incident Management &amp; Reliability
 
 
 
 <ul>
 <li>
 Oversee reliability of AI/ML services, including model drift detection, data quality monitoring, and performance metrics.
 </li>
 <li>
 Coordinate incident response, root-cause analysis, and cross-team escalations for production ML systems.
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field.
 </li>
 <li>
 Experience in logistics solutions or related fields.
 </li>
 <li>
 Advanced degrees (MSc/PhD) in AI/ML or Applied Data Science are a plus.
 </li>
 <li>
 Strong communication skills, able to explain complex ML workflows and architectural decisions to technical and business stakeholders.
 </li>
 <li>
 Data-driven decision-making and the ability to justify improvements using metrics.
 </li>
 <li>
 Balanced leadership mindset&mdash;capable both of delegating and of hands-on deep technical work.
 </li>
 <li>
 Comfortable navigating ambiguity and aligning stakeholders in AI-driven product contexts.
 
 
 </li>
 </ul>
 
 Python &amp; Backend Engineering
 
 
 
 <ul>
 <li>
 Expert-level Python developer with strong understanding of backend frameworks (FastAPI, Flask, Django) and microservices patterns.
 </li>
 <li>
 Strong grounding in algorithms, distributed systems, and scalable backend architecture.
 
 
 </li>
 </ul>
 
 AI/ML Engineering
 
 
 
 <ul>
 <li>
 Experience deploying ML models to production (batch, real-time, streaming).
 </li>
 <li>
 Knowledge of ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and model-serving technologies (like TorchServe, MLflow, SageMaker, Vertex AI, etc.).
 </li>
 <li>
 Experience with vector databases, feature stores, and embedding-based search is a strong plus.
 
 
 </li>
 </ul>
 
 MLOps &amp; Cloud
 
 
 
 <ul>
 <li>
 Hands-on experience with CI/CD for ML systems, containerization (Docker), orchestration, and cloud environments (AWS/GCP).
 </li>
 <li>
 Familiarity with monitoring tools for ML pipelines: logging, metrics, tracing, model drift detection.
 
 
 </li>
 </ul>
 
 Data, Storage &amp; Integration
 
 
 
 <ul>
 <li>
 Strong understanding of data pipelines, ETL/ELT workflows, and both relational and NoSQL databases.
 </li>
 <li>
 Ability to design caching, queuing, and event-driven architectures supporting ML workflows.
 
 
 </li>
 </ul>
 
 Quality &amp; Reliability
 
 
 
 <ul>
 <li>
 Establishes testing standards for data validation, model correctness, API reliability, and system performance.
 </li>
 <li>
 Drives observability across AI services and ensures robust monitoring coverage.
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more &ndash; all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed
 
 : &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 
 🏅Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results
 
 : &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes
 
 &ndash; Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters
 
 &ndash; Learning budgets, access to courses, and tools for your growth.
 
 
 🚒
 
 Builder&rsquo;s Playground
 
 &ndash; Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off
 
 &ndash; We take recharging seriously. Generous leave and wellness policies.
 
 
 🛠️
 
 Agile Everything
 
 &ndash; Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Great Place to Work&reg; Certified
 
 
 
 We&rsquo;re certified as a Great Place to Work&reg;, a recognition that celebrates a culture we&rsquo;ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.
 
 
 
 Certified for Excellence
 
 
 
 Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build apps. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

Tech Lead – Logistics Systems

Confidential

<div>
 
 Data &amp; AI Director
 
 
 (available different job levels for the same section)
 
 
 This role directs Authority's data and analytics function, covering data governance and management, AI &amp; data analytics, and data platforms. The position sets data strategy and standards, oversees analytical products and AI models, and manages platforms that ingest, integrate, and serve reliable data. It focuses on improving data quality and protection, enabling evidence-based decisions, and delivering analytical solutions that support policy, compliance, operations, and taxpayer services.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Governance &amp; Management
 
 
 <ul>
 <li>
 Sets the Authority-wide data governance framework, roles, and standards (quality, protection, retention, metadata, lineage).
 </li>
 <li>
 Defines and enforces master/reference data models and business glossaries; drives stewardship in business units.
 </li>
 <li>
 Establishes data quality controls, issue management, and remediation SLAs; monitors critical data elements.
 </li>
 <li>
 Oversees data privacy and access controls with Cybersecurity &amp; Enterprise Risk; ensures compliant sharing and usage.
 </li>
 <li>
 Guides policies for third-party/externally sourced data, licensing, and ethical use.
 </li>
 </ul>
 
 
 AI &amp; Data Analytics
 
 
 <ul>
 <li>
 Directs design and delivery of analytical products (descriptive, diagnostic, predictive) and AI/ML models supporting registration, filing, revenue, compliance risk, and service operations.
 </li>
 <li>
 Sets standards for feature engineering, model training/validation, monitoring, and version control; performs drift/bias checks and documentation.
 </li>
 <li>
 Oversees BI/reporting solutions and self-service dashboards; ensures accuracy, timeliness, and clear definitions.
 </li>
 <li>
 Leads experimentation, PoCs, and model lifecycle reviews; retires/refreshes models based on performance and business value.
 </li>
 <li>
 Coordinates with functional teams to embed analytics into processes (alerts, case scoring, workflows) and measure impact.
 </li>
 </ul>
 
 
 Data Platforms
 
 
 <ul>
 <li>
 Directs architecture and roadmap for data ingestion, integration, storage, and processing (data lake/warehouse, streaming, MDM).
 </li>
 <li>
 Oversees pipelines, ETL/ELT, API integrations, and data virtualization to ensure completeness, scalability, and reliability.
 </li>
 <li>
 Ensures platform security, performance, and cost control; approves capacity and disaster recovery plans.
 </li>
 <li>
 Manages product backlog for data platforms; prioritises enhancements and release management with IT/Application teams.
 </li>
 <li>
 Establishes reusable data products and curated datasets for policy, audit, revenue, and service use cases.
 </li>
 </ul>
 
 
 Governance, Risk &amp; Ethics
 
 
 <ul>
 <li>
 Maintains the data/AI risk register; defines controls for privacy, model risk, explainability, and human-in-the-loop review.
 </li>
 <li>
 Ensures compliance with internal policies and applicable standards; closes internal/external audit findings with sustainable fixes.
 </li>
 <li>
 Sets procedures for consent, minimisation, and sensitive-data handling; reviews requests for new high-risk use cases.
 </li>
 </ul>
 
 
 Operations, Performance &amp; Financials
 
 
 <ul>
 <li>
 Defines KPIs and dashboards for data quality, platform reliability (uptime, latency), model performance, and BI adoption.
 </li>
 <li>
 Oversees demand intake, effort/benefit assessment, and delivery cadence; resolves cross-team dependencies.
 </li>
 <li>
 Manages vendor contracts, tools, and licenses; tracks run-vs-change spend and unit costs; drives optimisation.
 </li>
 </ul>
 
 
 Stakeholder Coordination &amp; Enablement
 
 
 <ul>
 <li>
 Aligns with Information Technology, Applications &amp; Digital Experience, and Infrastructure &amp; Operations on integrations, security, and releases.
 </li>
 <li>
 Partners with Policy &amp; Legislation, Taxpayer Affairs, and Compliance to translate priorities into data/AI initiatives and measurable outcomes.
 </li>
 <li>
 Builds data literacy and self-service capabilities through standards, training, and a governed semantic layer/metrics store.
 </li>
 </ul>
 
 Publishes periodic insights and risk reports to support leadership decisions.
 
 
 
 
 
 
 Preferred Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, Economics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree (e.g., Data/Analytics, Information Systems, Statistics, MBA/MPA) is an advantage.
 </li>
 </ul>
 
 Relevant certifications are an advantage (e.g., DAMA/DMBOK, CDMP, cloud data certifications, ML/AI certifications, ITIL/COBIT).
 
 <ul>
 <li>
 16+ years across data governance/management, analytics/AI, and data platform engineering, including leadership of multi-disciplinary teams.
 </li>
 <li>
 Proven delivery of organisation-wide data standards, high-value analytical products, and resilient data platforms.
 </li>
 <li>
 Experience embedding models into operations (risk scoring, anomaly detection, performance dashboards) and monitoring outcomes.
 </li>
 </ul>
 
 Coordination with cybersecurity, applications, infrastructure, and business departments; vendor and contract management.
 
 <ul>
 <li>
 Data architecture (lake/warehouse, MDM), ETL/ELT, APIs/integration, and metadata/lineage management.
 </li>
 <li>
 Data quality and protection controls; role-based access, tokenisation/segmentation where applicable.
 </li>
 <li>
 Analytics/ML lifecycle (feature stores, model ops, monitoring) and BI product management.
 </li>
 <li>
 KPI design, experiment/impact measurement, and concise executive reporting.
 </li>
 </ul>
 
 Strong stakeholder engagement, prioritisation, and decision-making grounded in evidence.
 
</div>

Data & AI Director

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 We are looking for an experienced
 
 AI Project Manager
 
 to facilitate the successful delivery of AI and ML initiatives. In this role, you will coordinate cross-team integrations and communications, manage timelines, and ensure projects are delivered on schedule, within budget, and in line with defined objectives. You will also monitor key metrics and track the status of integrations to ensure seamless execution.
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 <ul>
 <li>
 Support end-to-end project delivery, ensuring timelines, budgets, and objectives are met.
 </li>
 <li>
 Coordinate cross-functional teams and internal integrations, enabling clear and efficient collaboration.
 </li>
 <li>
 Plan project schedules, track progress, and proactively identify and manage risks.
 </li>
 <li>
 Serve as the initial point of contact for stakeholders, providing clear updates and managing expectations.
 </li>
 <li>
 Ensure smooth integration of AI initiatives with broader organizational projects and processes.
 </li>
 <li>
 Promote best practices in project delivery, documentation, and continuous improvement.
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Project Management.
 </li>
 <li>
 Strong familiarity with core technology concepts, from architecture to delivery workflows.
 </li>
 <li>
 Hands-on experience navigating end-to-end AI/ML project lifecycles, from scoping and data readiness to deployment and iteration.
 </li>
 <li>
 4+ years of project management experience in AI, ML, or tech-driven environments.
 </li>
 <li>
 Proven track record of delivering complex projects on time and within scope.
 </li>
 <li>
 Strong skills in planning, risk management, stakeholder communication, and team coordination.
 </li>
 <li>
 Expertise with monitoring and analytics tools such as Amplitude, Tableau, Looker, or similar.
 </li>
 <li>
 SQL knowledge for basic checks, validation, and tracking.
 </li>
 <li>
 Familiarity with project management tools (Jira, Asana, Trello, etc.).
 </li>
 <li>
 Excellent problem-solving, organizational, and interpersonal skills.
 
 
 </li>
 </ul>
 
 ✨ Bonus Points If You Have
 
 
 
 <ul>
 <li>
 Experience within delivery/logistics industries.
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, ride-hailing, and shopping - all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed:
 
 &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 🏅
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results:
 
 &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes &ndash;
 
 Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters &ndash;
 
 Learning budgets, access to courses, and tools for your growth.
 
 
 
 🚒 Builder&rsquo;s Playground &ndash;
 
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off &ndash;
 
 We take recharging seriously. Generous leave and wellness policies.
 
 
 
 🛠️ Agile Everything &ndash;
 
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build app. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

AI Project Manager

<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 frontier research and real-world impact. While we solve critical challenges for global governments, your role will extend beyond implementation. You will lead the charge in research into Agent design, Deep Research and AI Safety/reliability, developing novel methodologies that not only power public sector applications but set new standards across the entire Scale organisation.
 
 
 Your mission is threefold:
 
 
 <ul>
 <li>
 Frontier Research &amp; Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).
 </li>
 <li>
 Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.
 </li>
 <li>
 Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.
 
 
 </li>
 </ul>
 
 You will:
 
 
 
 <ul>
 <li>
 Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond &ldquo;off-the-shelf&rdquo; solutions to create custom architectures for complex public sector reasoning tasks.
 </li>
 <li>
 Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.
 </li>
 <li>
 Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.
 </li>
 <li>
 Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.
 </li>
 <li>
 Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.
 </li>
 <li>
 Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;d have:
 
 
 
 <ul>
 <li>
 Advanced Degree: PhD or Master&rsquo;s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
 </li>
 <li>
 Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).
 </li>
 <li>
 Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.
 </li>
 <li>
 Safety Expertise: Experience in alignment, robustness, or interpretability research.
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience with large-scale distributed training on massive clusters.
 </li>
 <li>
 Experience in building agentic systems that are reliable.
 </li>
 <li>
 Experience in Sovereign AI or working with highly regulated data environments.
 </li>
 <li>
 A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.
 
 
 </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, Cisco, DLA Piper, 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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