ai-first full stack dev

full stack software engineer (forward deployed) Jobs in Doha

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senior full stack javascript developer (tech lead) Jobs in Doha

senior web developer

ai first full stack dev

Starise

<div>
 
 
 Company Description
 
 
 
 Starise is an AI-powered reputation platform helping businesses strengthen their online presence by making it effortless for satisfied customers to leave authentic reviews in under 30 seconds. By closing the gap between real customer experiences and what is reflected online, Starise enables businesses to build stronger visibility and credibility across platforms such as Google and TripAdvisor.
 
 
 
 
 
 Built for hospitality and other customer-facing brands, Starise combines customizable feedback flows, multi-location management, and intelligent automation to help businesses consistently capture and amplify positive customer sentiment. At our core, we are an AI-first company committed not only to building AI-powered products, but also to operating with an AI-native mindset across product development, workflows, and execution.
 
 
 
 
 
 
 Role Description
 
 
 
 We are seeking an AI-First Full Stack Developer for a full-time, on-site role based in Doha, Qatar.
 
 
 
 
 
 This is not a traditional software development role. We are looking for someone who is deeply comfortable working in an AI-powered development environment and sees tools like Codex, Claude, Cursor, Copilot, and other AI coding collaborators as a natural extension of how great software should be built.
 
 
 
 
 
 As a Full Stack Developer at Starise, you will build and maintain features across both frontend and backend systems while using AI-assisted workflows to move faster, think bigger, and execute better. You will work closely with product and design to turn ideas into elegant, scalable solutions, take ownership of features from concept to deployment, and help embed AI into both our product and our engineering culture.
 
 
 
 
 
 The ideal candidate is not just technically strong, but also AI-friendly, AI-curious, and AI-native in the way they approach coding, debugging, documentation, testing, and product thinking. We want someone who actively leverages AI tools to improve development speed, code quality, system design, and problem-solving effectiveness.
 
 
 
 
 
 You will contribute to architecture decisions, build reliable APIs and backend services, create intuitive frontend experiences, optimize application performance, and continuously improve how we ship software using modern AI-enabled development practices.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain full stack product features across frontend and backend systems
 </li>
 <li>
 Use AI-powered development tools such as Codex, Claude, Cursor, Copilot, and similar platforms to accelerate coding, prototyping, debugging, refactoring, and documentation
 </li>
 <li>
 Work closely with product and design teams to translate ideas into simple, scalable, and user-friendly product experiences
 </li>
 <li>
 Take ownership of features end-to-end, from architecture and implementation to testing, deployment, and iteration
 </li>
 <li>
 Design and integrate APIs, databases, and backend services that are reliable, secure, and scalable
 </li>
 <li>
 Help build AI-powered product capabilities and contribute to the integration of automation and intelligence into core workflows
 </li>
 <li>
 Improve engineering productivity by identifying opportunities to incorporate AI into development processes and team workflows
 </li>
 <li>
 Write clean, maintainable, and efficient code while using modern tools and best practices to maximize output and quality
 </li>
 <li>
 Troubleshoot technical issues, optimize performance, and continuously improve platform reliability
 </li>
 <li>
 Contribute to a fast-moving startup culture that values initiative, speed, experimentation, and practical innovation
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong full stack software development experience across frontend and backend technologies
 </li>
 <li>
 Experience building scalable web applications, APIs, and database-backed systems
 </li>
 <li>
 Strong familiarity with modern web stacks such as TypeScript, React, Node.js, or similar technologies
 </li>
 <li>
 Demonstrated comfort using AI-powered coding tools and assistants as part of day-to-day software development
 </li>
 <li>
 AI-first mindset: someone who naturally thinks about how AI can improve code quality, development speed, testing, product design, and execution
 </li>
 <li>
 Experience or strong interest in building AI-powered features, workflow automation, or intelligent product experiences
 </li>
 <li>
 Strong problem-solving and analytical skills, with the ability to independently break down complex technical challenges
 </li>
 <li>
 Ability to move quickly, take ownership, and thrive in a startup environment with high autonomy
 </li>
 <li>
 Effective communication and collaboration skills across technical and non-technical teams
 </li>
 <li>
 Experience with cloud infrastructure, deployment pipelines, and modern engineering practices is highly desirable
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
 </li>
 </ul>
 
 
 
 
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 AI-native in how they build software
 </li>
 <li>
 Comfortable collaborating with AI tools rather than resisting them
 </li>
 <li>
 Excited by the idea of using AI to become a faster, sharper, more effective developer
 </li>
 <li>
 Able to combine engineering fundamentals with modern AI-assisted execution
 </li>
 <li>
 Curious, adaptive, and eager to help shape an engineering culture that is truly AI-first
 </li>
 </ul>
</div>

AI-First Full Stack Dev

Arab Solutions

<div>
 
 Job Title: Full Stack Software Engineer (Forward Deployed) &ndash; L6+
 
 
 
 
 Department:
 
 International Public Sector
 
 
 
 Experience:
 
 10+ Years
 
 
 
 Location:
 
 International / Client-Facing
 
 
 
 Role Overview
 
 
 
 We are seeking a highly experienced
 
 Full Stack Software Engineer (Forward Deployed)
 
 to help build and deploy advanced AI-powered solutions for public sector organizations globally. The role focuses on designing scalable AI applications, developing high-quality data systems for LLMs, and collaborating directly with government partners to solve complex challenges impacting millions of citizens.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead technical strategy for public sector engagements and translate complex mission requirements into scalable architectural solutions.
 </li>
 <li>
 Design and build full-stack AI applications integrating interactive user interfaces, backend systems, and AI models.
 </li>
 <li>
 Develop and maintain secure, scalable cloud infrastructure supporting global deployments.
 </li>
 <li>
 Build and evolve core platforms and shared services to support multiple client use cases.
 </li>
 <li>
 Work closely with cross-functional teams to shape the technical roadmap and ensure system scalability and reliability.
 </li>
 <li>
 Mentor engineering teams and promote best practices in documentation, architecture, and development workflows.
 </li>
 <li>
 Convert real-world client challenges into reusable engineering solutions and scalable platform capabilities.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science or equivalent industry experience.
 </li>
 <li>
 10+ years of full-stack development experience.
 </li>
 <li>
 Strong expertise in Python, Node.js, and React.
 </li>
 <li>
 Experience designing large-scale architectures using Kubernetes and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Proven ability to build secure, production-grade distributed systems.
 </li>
 <li>
 Experience deploying solutions in complex, high-security environments.
 </li>
 <li>
 Strong leadership skills with the ability to guide teams and manage ambiguous technical challenges.
 </li>
 <li>
 Ability to drive documentation-first and asynchronous engineering practices.
 </li>
 <li>
 Arabic language proficiency.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience as a CTO, founding engineer, or forward deployed engineer in a startup environment.
 </li>
 <li>
 Experience collaborating with operations and cross-functional teams.
 </li>
 <li>
 Hands-on experience building LLM-based or AI-driven applications.
 </li>
 <li>
 Strong understanding of emerging AI landscapes and future-proof system design.
 
 
 </li>
 </ul>
 Skills: forward deployed,llm-based,cto,forward deployed engineer,ai-driven applications,founding engineer,cloud infrastructure,ai models
</div>

Full Stack Software Engineer (Forward Deployed)

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

Quesst Technologies

<div>In Brief 
Urgent Hiring &bull; Re-location Required 
Company Founded 2018 &bull; 1-5 employees 
Internet and Technology Startup &bull; Bootstrapped
About us 
Based out of Egypt and with presence in the GCC, Quesst Technologies is an early Internet and Tech Startup committed to helping thousands of nationals, residents and travelers in the MENA region, saving them time and effort in seeking reliable and credible knowledge within their communities and localities. 
Quesst, the company's flagship platform, is a hyper-local Q&amp;A and knowledge sharing platform that offers the necessary infrastructure for users seeking information to meet, share, engage and interact with one another and with verified subject matter experts.

Who we're looking for 
Ideally the successful candidate will have experience in the start-up world and is in a position for a new challenge to take this company to the next level. Someone who is passionate about delivering a scalable and highly performant state-of-the-art cloud-based platforms built with technologies utilizing the JavaScript ecosystem, AI/ML and the latest web technologies to help solve exciting real world problems. 
We are looking for an agile and entrepreneurial leader with strong people leadership and technical capability who has a problem-solving and analytical aptitude, excellent communication and presentation skills, is familiar with statistics, has a business acumen, independent, positive can-do attitude, and passion for excellence to the workplace.

Your role and our tech stack 
Reporting to the founder, you will be expected to develop, deploy and oversee the execution of the tech strategy, product road-map and operations to ensure alignment with our businesses goals as we grow and scale. You will play a key part in the organisation's success, taking the current MVP and developing it further to move the company through to early stage funding and into profit.

Quesst's is built using React.js [Frontend], Node.js [Backend], PostgreSQL [DB], Amazon EC2 [Application Hosting], Amazon S3 [Media Storage Service], and Amazon SES [Email Sending Service]. You will be responsible for implementing full-stack features and collaborate with other team members to plan each sprint. You&rsquo;ll be working across the entire system architecture and be responsible for designing, implementing and maintaining restful APIs, micro-services and databases.

Your key responsibilities
<ul><li>
Develop, improve and optimize the structure, quality, and extensibility of current software technologies, codebases and databases</li><li>
Prototype ideas to quickly access viability and iterate based on feedback from the team</li><li>
Build robust, web-based applications interacting with databases, file-systems and APIs</li><li>
Write custom code or integrate open source technologies as needed to find solutions to problems</li><li>
Design and build effective APIs; Create servers and databases for functionality</li><li>
Design client-side and server-side architecture; Design the data model ensuring scalability</li><li>
Accurately translate screen designs into functional front-end code; Develop features and with a mobile responsive design</li><li>
Write high-quality, extensible, testable and reusable code and libraries; Conduct code reviews and establishment of best practices</li><li>
Participate in planning activities; Estimate accurate stores for new features and design product features</li><li>
Help define processes and build tools as needed to scale the solution and the team</li><li>
Create and lead the product road-map; Proactively breakdown work, manage development sprints, identify risks and explore solutions</li><li>
Test software to ensure responsiveness and efficiency; Troubleshoot, debug and upgrade software; Aggressive problem diagnosis and creative problem solving</li><li>
Steer the business on timescales, prioritization and costs on competing development requirements</li><li>
Drive rigorous, and weekly product releases and lead required integration efforts with partners and/or third-party software services</li><li>
Guide the development in design, architecture and platform choices with strong focus on quality, speed, stability and scalability</li><li>
Identify and establish best practices and frameworks keeping in mind parameters of performance, responsiveness, security, maintainability, extensibility, and reuse; Work collaboratively in a lean and agile environment; Write technical documentation</li><li>
Recommend and implement new technologies, improvement of existing tech and set-up and future-proofing our technology that can help the company optimize efficiency and productivity and lead edge thinking and knowledge of innovative technologies i.e. AI, ML, blockchain, etc..</li></ul>

Your qualifications
<ul><li>
Minimum of BSc in Computer Science/IT/Electronics/Software Engineering or a comparable degree program</li><li>
Proven experience of 2-5 years of full-stack development of web applications; 2+ years building front-end interfaces with React.js &amp; Redux workflows and 2+ years building back-end and maintaining server applications on Node.js, PostgreSQL and designing APIs</li><li>
Expert in traditional web-dev stack (HTML5, CSS3, JS); Strong in core JavaScript (ES5, ES6, ESNext, TypeORM and Typescript) and JS object model</li><li>
Experience with Linux environments and using the shell and command line terminals (preferred)</li><li>
Professional coding experience in object-oriented and scripting languages; Extensive experience building client-side web applications using React</li><li>
Proficient with:<ul><li>
JavaScript Frameworks (ReactJS/NextJS/Redux) and Node.js Frameworks (Express.js)</li><li>
Client-side MVC frameworks such as NodeJS, React JS, NextJS, Redux, and AngularJS; Knowledge of isomorphic React</li><li>
Configuration of various servers to run web application servers, databases, etc.; Web server technologies like Nginx, NodeJS, Apache, etc.</li><li>
Frontend CSS frameworks like Bootstrap, Material UI and preprocessors like SASS and SCSS/LESS</li><li>
Writing and integrating middleware; Experience with Redux Saga and Thunk</li><li>
Architecture, design, queries of Relational databases (PostgreSQL, MySQL and other RDBMS)</li><li>
Modern JS tooling (NPM, Webpack, Babel, ESLint and Prettier)</li><li>
Developer tools, such as Visual Studio Code</li><li>
Code versioning tools and Git version control systems (Github); Containerization systems (Docker)</li><li>
Strong in data structures, XML technologies, JSON parsing
</li><li>Caching frameworks and mechanisms, work-task queues, transactions and messaging queues (Redis, Memcached, RabbitMQ and others)</li><li>
Building real-time applications using Web Sockets (Socket.io)</li><li>
Web and mobile push notifications and cloud message APIs (GCM, APNS, OneSignal, etc.)</li><li>
Setting up cron jobs and schedule task execution</li><li>
Handling Services, RESTful, APIs, third party libraries and APIs (Google APIs, AWS, Zendesk, etc.)</li></ul></li></ul>
<ul><li>Experience with API gateway, distributed infrastructure architectures and applications tuning/profiling; Experience working with microservices</li><li>
User authentication and authorization between multiple systems, servers, and environments; Understanding of &ldquo;session management&rdquo; in a distributed server environment</li><li>
Experience with REST API and web service construction, integration and architecture and working with remote data via REST and JSON</li><li>
Knowledge of modern authorization mechanisms, such as JSON Web Token, Authentication and Security Technologies</li><li>
Familiarity with building secure systems (OWASP secure coding practices or similar)</li><li>
Architect and cloud-deploy applications on AWS and other cloud providers</li><li>
Deep understanding of Test-Driven Development (TDD)</li><li>
Build and manage end-to-end and UI tests; Experience writing tests (unit, integration, functional, etc.), and using testing frameworks</li><li>
Build third-party integrations like Slack, Stripe, Google and supporting their workflow</li><li>
Provision DevOps tooling with continuous integration; Build modern Front-end build pipelines and tools</li><li>
Contribute to API documentation including API description languages like Swagger; Document and diagram functional flows and architectures</li><li>
Experience in building rich PWA applications; Experience in responsive design, cross browser compatibility and website performance</li><li>
Understanding of how browsers and DOM work; Understanding and experience with asynchronous processing, partial page refresh, DOM traversal and manipulation</li><li>
Expert level using Web Analytics tools (Google Analytics and others); Experience with open source software development</li><li>
Experience with localization and internationalization of applications (working with multi-site setups, multi-language, i18n, etc.)</li></ul>

Some desired extras and good to have skills
<ul><li>
Knowledge of cyber-security, malware analysis, threat detection and/or sandboxing technology</li><li>
Preferably has knowledge of working in big data (Spark, Kafka, Hadoop) and machine learning ecosystems</li><li>
Strong background in security and data analytics and on-premise data experience</li><li>
Experience and familiarity with:<ul><li>
Architecture, design, queries and aggregation of NoSQL databases (MongoDB, Cassandra and others)</li><li>
Elasticsearch and ELK stack</li><li>
Developing integrations for global OTAs</li><li>
OpenAPI</li></ul></li><li>
Knowledge of multiple backend languages and framework
</li></ul>
We offer you
<ul><li>
A unique entrepreneurial opportunity to build something from the ground up and scale it up to a major regionally recognizable brand</li><li>
A great learning curve in a collaborative environment with no barriers for initiatives
</li><li>Leading compensation package including salary free of local taxes, accommodation allowance for local hire or shared accommodation for international hire, free medical care from company physician, free government healthcare membership, transport allowance, paid airfare to the country of origin, paid leave and end of service according to local labor law.</li></ul>

Your professional career growth opportunities 
As you help us grow Quesst, we will help you grow and professionally develop. Joining us at this stage, you will have the opportunity to be part of the core team if you prove you have what it takes and will be given the opportunity to:
<ul><li>
Lead and develop a technical strategy for the company, which involves goal setting, discussing options, and analyzing risks with the management team, CEO and board members</li><li>
An opportunity to build and manage a business unit from scratch and scale it up to success at a regional level</li><li>
Attract and retain top tech talent, mentor and manage the team as it grows</li><li>
Develop and manage KPIs for the tech team and create a challenging work environment</li></ul>

Have we caught your attention? 
Send us your application including your resume, salary expectations and earliest starting date. 
We&rsquo;re looking forward to your application!</div>

Senior Full Stack JavaScript Developer (Tech Lead)

Al Adyat consultancy

Job Profile: AI Expert for Plant Data Model (PDM Project)Job SummaryWe are seeking a highly skilled AI Expert to design, build, and operationalize AI/ML solutions that deliver measurable business outcomes. The ideal candidate combines deep machine learning expertise with strong software engineering practices, MLOps proficiency, and stakeholder collaboration. This role will lead end-to-end projects&mdash;from problem framing and data acquisition to model development, deployment, monitoring, and continuous improvement&mdash;while ensuring compliance with security, privacy, and governance policies.Key Responsibilities&middot; Partner with business stakeholders to translate strategic objectives into AI use cases with clear KPIs and ROI.&middot; Own the full ML lifecycle: data sourcing, feature engineering, model selection, training, evaluation, and production deployment.&middot; Implement robust MLOps: CI/CD for ML, model registry, automated testing, reproducible pipelines, and monitoring (drift, performance, fairness).&middot; Design scalable data/feature pipelines using best practices for data quality, lineage, and governance.&middot; Develop models across domains (e.g., predictive analytics, time series, NLP, computer vision, recommender systems).&middot; Optimize models for efficiency and cost across CPU/GPU, leveraging quantization, distillation, or serving optimizations.&middot; Deploy and maintain models on cloud and on-prem platforms; orchestrate with containers and microservices (Docker/Kubernetes).&middot; Establish and enforce responsible AI practices: privacy-preserving methods, bias detection/mitigation, explainability, and secure handling of data.&middot; Produce high-quality documentation: design docs, runbooks, experiment logs, and user guides; present results to technical and non-technical audiences.&middot; Mentor engineers and analysts; contribute to standards, templates, and reusable components within the AI platform.Minimum Qualifications&middot; Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, or related field (or equivalent experience).&middot; 5+ years building and deploying ML models in production environments.&middot; Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Hands-on experience with data processing frameworks (e.g., Pandas, Spark), SQL/NoSQL databases, and feature stores.&middot; Proficiency in MLOps tooling (e.g., MLflow, DVC, Kubeflow, Airflow) and CI/CD for ML.&middot; Experience deploying to cloud platforms (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI) and container orchestration (Docker/Kubernetes).&middot; Solid understanding of statistics, experiment design (A/B testing), and model validation techniques.&middot; Excellent communication and stakeholder management skills; ability to articulate complex concepts clearly.Preferred Qualifications&middot; Master&rsquo;s or PhD in a quantitative field.&middot; Experience with NLP (transformers, LLMs, RAG) and computer vision (CNNs, detection/segmentation).&middot; Exposure to time-series forecasting, optimization, and reinforcement learning for industrial use cases.&middot; Experience with Azure ecosystem (Azure ML, Databricks, Data Factory, Synapse) and enterprise integration patterns.&middot; Familiarity with privacy-preserving techniques (differential privacy, federated learning) and model interpretability (SHAP, LIME).&middot; Track record of delivering AI solutions in manufacturing, energy, or operations (e.g., predictive maintenance, process optimization).Technical Stack &amp; Tools&middot; Languages: Python (preferred), SQL; familiarity with C++/Java is a plus.&middot; ML/AI: scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face; experiment tracking (MLflow).&middot; Data: Pandas, Spark, Delta/Parquet; data versioning (DVC); feature stores.&middot; Pipelines &amp; Orchestration: Airflow, Prefect, Kubeflow; Docker/Kubernetes for serving.&middot; Monitoring &amp; Observability: Prometheus/Grafana; model drift/performance monitoring tools.&middot; DevOps: Git, GitHub/GitLab, CI/CD, testing frameworks (pytest).&middot; Cloud: Azure (preferred), AWS, GCP; serverless and managed ML services.Core Competencies &amp; Soft Skills&middot; Business acumen with the ability to prioritize use cases based on value and feasibility.&middot; Structured problem solving and hypothesis-driven experimentation.&middot; Clear written and verbal communication, storytelling with data, and visualization skills.&middot; Collaboration and mentorship across cross-functional teams (engineering, operations, compliance).&middot; Ownership mindset with a focus on reliability, safety, and continuous improvement.AI Governance, Security &amp; Compliance&middot; Adhere to corporate data governance policies, security standards, and regulatory requirements (e.g., GDPR where applicable).&middot; Implement role-based access controls, encryption, secure secrets management, and audit trails across the ML stack.&middot; Ensure models meet fairness, transparency, and explainability guidelines; conduct regular risk assessments and reviews.Success Criteria &amp; KPIs&middot; Cycle time from ideation to production (weeks).&middot; Model performance against business KPIs (e.g., accuracy, precision/recall, uplift, cost savings).&middot; Operational reliability (SLA adherence, downtime, incident rate).&middot; Adoption and user satisfaction for AI-enabled products and workflows.Compliance metrics (governance checks passed, audits completed).Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Expert for Plant Data Model (PDM Project) : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Data Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

AI Expert for Plant Data Model (PDM Project)

QNB Group

<div>
 
 About QNB
 
 
 
 Established in 1964 as the country&rsquo;s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.
 
 
 QNB Group&rsquo;s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.
 
 
 QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard &amp; Poor&rsquo;s (A), Moody&rsquo;s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.
 
 
 Based on the Group&rsquo;s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.
 
 
 QNB Group has an active community support program and sponsors various social, educational and sporting events.
 
 
 
 Job Summary
 
 
 
 The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, GenAI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.
 
 
 Main Responsibilities
 
 
 <ul>
 <li>
 Shareholder &amp; Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data &amp; AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group&rsquo;s exposure to Data &amp; AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data &amp; Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data &amp; Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics &amp; AI solutions to user requirements keeping in mind the Group&rsquo;s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent.
 </li>
 <li>
 Customer (Internal &amp; External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank&rsquo;s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group&rsquo;s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank&rsquo;s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group&rsquo;s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.
 </li>
 <li>
 Internal (Processes, Products, Regulatory):
 </li>
 <li>
 Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling.
 </li>
 <li>
 Learning &amp; Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects.
 </li>
 <li>
 Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) &amp; Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI.
 </li>
 <li>
 Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time
 
 
 </li>
 </ul>
 
 Education And Experience Requirements
 
 
 
 <ul>
 <li>
 University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field.
 </li>
 <li>
 At least 10 years of relevant experience, preferably within a Data Scientist or related role.
 </li>
 <li>
 A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable.
 </li>
 <li>
 Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques.
 </li>
 <li>
 Sound knowledge and implementation experience on LLM based solutions.
 </li>
 <li>
 Prior experience in banking is desirable
 </li>
 <li>
 Sound knowledge in cloud technologies ,Python and full stack engineering is must.
 
 
 </li>
 </ul>
 Note: you will be required to attach the following:
 
 
 <ul>
 <li>
 Resume/CV
 </li>
 <li>
 Copy of Passport or QID
 </li>
 <li>
 Copy of Education Certificate
 </li>
 </ul>
</div>

QNB3619 - Assistant Vice President, Data Science

<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>
 As a DevOps Engineer, you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity &amp; access management, security tools, and underlying cloud infrastructure.
 
 
 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>
 Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.
 </li>
 <li>
 Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.
 </li>
 <li>
 Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.
 </li>
 <li>
 Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.
 </li>
 <li>
 Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.
 
 
 </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>
 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++
 </li>
 <li>
 Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred)
 </li>
 <li>
 Track record of independent ownership of successful engineering projects
 </li>
 <li>
 Experience working fluently with standard containerization &amp; deployment technologies like Kubernetes, Terraform, Docker, etc.
 </li>
 <li>
 Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions)
 </li>
 <li>
 Solid foundation and real-world experience in network engineering
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 </li>
 <li>
 Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)
 </li>
 <li>
 Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
 </li>
 <li>
 Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
 </li>
 <li>
 Experience with hybrid or on-prem systems
 </li>
 <li>
 Experience with orchestration platforms, such as Temporal and AWS Step Functions
 
 
 </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>

DevOps Engineer, GPS

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