cfo&ev new associate (ksa coop internship)

2027 global corporate banking - large-cap - off-cycle internship program - saudi arabia

2026 financial analyst intern Jobs in Riyadh

2026 financial analyst intern

cfo&ev new associate (ksa coop internship) Jobs in Riyadh

legal intern

2026 account manager intern Jobs in Riyadh

2026 account manager intern

2027 global corporate banking - large-cap - off-cycle internship program - saudi arabia Jobs in Riyadh

ai intern

Tabby

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company.</div><div>
<br>
This internship is not educational by default. It is an engineering-adjacent role with real production impact.<br>
</div><div>The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling.</div><div>
<br>
The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks.</div><div></div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><div><br>
This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools.<br>
</div><ul><li>Build AI agents and automations using internal no-code and low-code tooling</li>
<li>Configure agent workflows, tools, and orchestration logic</li>
<li>Integrate agents with internal systems via APIs and tools</li>
<li>Participate in designing agent architectures and workflows</li>
<li>Help test, evaluate, and iterate on agent behavior and quality</li>
<li>Work with datasets and evaluation results to improve agent performance</li>
<li>Document agent logic, workflows, and best practices</li>
<li>Work closely with platform engineers, product managers, and internal users</li>
</ul><ul><li>Strong logical and systems thinking</li>
<li>Ability to break down human workflows into structured steps</li>
<li>Understanding of how web services, APIs, and tools interact</li>
<li>Experience with no-code or low-code platforms</li>
<li>Basic understanding of data formats (JSON), APIs, and webhooks</li>
<li>Ability to reason about edge cases, failure modes, and correctness</li>
<li>High level of ownership and responsibility</li>
<li>Comfort with fast iteration and experimental environments</li>
<li>English sufficient for documentation and team communication</li>
</ul><ul><li>Experience with LLMs, AI agents, or automation</li>
<li>Experience building internal tools or automations</li>
<li>Experience with Python</li>
<li>Education in data science, machine learning field</li>
<li>Understanding of prompt design or agent orchestration concepts</li>
<li>Familiarity with evaluation, testing, or quality metrics</li>
<li>Curiosity about AI system behavior and limitations</li>
</ul><ul><li>Expert-level knowledge of LLMs, agent frameworks, or prompt engineering</li>
<li>Prior professional AI, automation, or platform engineering experience</li>
<li>Mastery of all listed no-code platforms or LLM tooling</li>
<li>Deep knowledge of ML internals, model training, or RAG architectures</li></ul><br>
<h3 class="jobSectionHeader"><b>
Skills, Knowledge &amp; Expertise</b></h3><br>
<ul>
<li>
Saudi nationals only</li>
<li>Self-funded internship by Tabby</li>
<li>We welcome both current students and fresh grads</li>
<li>We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Format</b></h3><br>
<ul>
<li>
Paid internship</li>
<li>Full integration into the automations building team</li>
<li>Distributed engineering team across multiple countries</li>
<li>Open to Saudi nationals (Saudi passport required); location flexible &mdash; candidates may be based outside KSA</li>
<li>Office-first in Riyadh where possible</li>
<li>Clear path to a junior AI automation, no-code engineer, or platform role based on performance</li>
</ul><div>This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.</div><div></div><h3 class="jobSectionHeader"><b><br>
About Tabby</b></h3><div>
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.<br>
<br>
The company&rsquo;s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.<br>
<br>
Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.<br>
<br>
Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.</div></div>

AI Intern

Cognition AI

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>Riyadh; Doha; Dubai</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Remote</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>SalesApplied AI</p></div></div>
<br><div><div><h2 class="jobSectionHeader"><b>We are an applied AI lab building end-to-end software agents.</b></h2>
<p>We're the makers of Devin, the first AI software engineer.</p>
<p>Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.</p>
<p>Building Devin is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.</p>
<h2 class="jobSectionHeader"><b>About the Role</b></h2>
<p>Applied AI Transformation Managers are technically oriented strategic advisors and operators who ensure value alignment to our customer's most strategic projects and drive program delivery across several strategic accounts. You&rsquo;ll be responsible for identifying strategic opportunities for our customers to realize value from Cognition&rsquo;s platform and ensuring strong value capture and reporting. You will support delivery of enterprise wide programs to implement agentic AI, specifically by designing and building the operating model and delivery model for agentic AI.</p>
<p>You&rsquo;ll act as a trusted advisor to senior and functional leaders, designing value realization targets and delivering transformation programs. This role embeds with a select set of Cognition&rsquo;s strategic accounts for upfront strategy work through in-depth program management and delivery. You will be on the frontlines of supporting customers turning productivity gains and quantifiable financial impact. You will pioneer the playbook for how the world&rsquo;s largest enterprises get value from AI Agents.</p>
<p></p><p><b>In this role, you will:</b></p>
<ul><li><p>Work with customer leadership to identify, quantify and report value targets for productivity gains and financial impact</p>
</li><li><p>Ensure seamless operations and delivery for the overall customer program, in close partnership with the Cognition account team</p>
</li><li><p>Ensure everyone at customer and Cog has visibility on playbook implementation, consumption metrics and value metrics</p>
</li><li><p>Maintain great relationships and customer trust via delivery</p>
</li><li><p>Oversee onboarding and rollout to thousands of engineers, ensuring successful deployment</p>
</li><li><p>Apply world class analytical and technical program management skills to support customer executives and teams, particularly with value realization and tracking</p>
</li><li><p>Build centers of excellence within accounts and empower them through tailored enablement programs</p>
</li></ul><p></p><p><b>Requirements for the role:</b></p>
<ul><li><p>Computer science or EE undergrad</p>
</li><li><p>SWE intern or full time work experience</p>
</li><li><p>3-5 years at a big 3 strategy consulting firm with a strong background in value targeting and realization and technology strategy as well as a proven track record building and expanding client relationships</p>
</li><li><p>Ideally 2+ years experience at a startup in a customer facing role preferred</p>
</li><li><p>Thrive in ambiguous, fast-changing environments&mdash;you move quickly and grow quickly</p>
</li><li><p>Demonstrated ability to learn exceptionally fast</p>
</li></ul><p></p><p><b>You might excel if you&hellip;</b></p>
<ul><li><p>have successfully been a part of complex enterprise teams, especially sourcing and managing account growth</p>
</li><li><p>have worked as a software engineer, SE, technical account manager or other technical role</p>
</li><li><p>previously founded a startup or were early stage at a high growth startup</p>
</li><li><p>are a competitive, highly ambitious person who loves working in high-intensity environments<br>
<br>
</p></li></ul><h2 class="jobSectionHeader"><b>Equal Opportunity</b></h2>
<p>Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</p></div></div><p></p>

Applied AI Transformation Manager - MENA

FlyAkeed

<div>About FlyAkeed<p>
FlyAkeed is an online platform that helps people book flights and hotels with ease. Founded in 2017 and headquartered in Riyadh, Saudi Arabia, FlyAkeed simplifies business travel through smart technology and exceptional customer service.</p><p><b>
Highlights:</b></p><ul><li>
Current funding stage: Series A</li><li>
Backed by Sanabil Investments (a PIF company), Elm, Artal Capital, and Alrajhi Partners.</li></ul><p><br>
About the Role</p><p>
As a <b>Copywriter Intern</b>, you will support the Marketing team in creating compelling, customer-focused content that reflects FlyAkeed's brand voice. You will contribute to campaigns that promote our travel solutions, engage our audience, and enhance the overall customer experience across digital channels.</p>
Key Responsibilities<ul><li>
Write clear, engaging, and persuasive copy for digital marketing campaigns.</li><li>
Create content for social media, email campaigns, website pages, blog articles, and in-app communications.</li><li>
Assist in developing marketing copy for flight and hotel booking promotions, product launches, and seasonal campaigns.</li><li>
Collaborate with the Marketing, Design, and Product teams to produce consistent and impactful content.</li><li>
Proofread and edit content to ensure accuracy, clarity, and consistency with FlyAkeed's tone of voice.</li><li>
Conduct research on travel trends, customer behavior, and competitors to support content creation.</li><li>
Help maintain and update website and marketing content as needed.</li><li>
Support brainstorming sessions and contribute creative ideas for campaigns and brand initiatives.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li>
Currently pursuing or recently completed a Bachelor's degree in Marketing, Communications, English, Journalism, or a related field.</li><li>
Excellent writing and editing skills in both Arabic and English.</li><li>
Strong attention to detail and ability to adapt writing style for different audiences and platforms.</li><li>
Creative mindset with a passion for storytelling and digital content.</li><li>
Familiarity with social media platforms and content marketing principles.</li><li>
Ability to work collaboratively, manage multiple tasks, and meet deadlines.</li><li>
Knowledge of the travel industry is a plus.</li><li>
A portfolio or writing samples are preferred.</li></ul></div>

Copywriter Intern

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description: AI Tools &amp; Enablement Specialist</b></h1><p><b>
Job Title:</b> AI Tools &amp; Enablement Specialist<br>
<b>Experience:</b> 3&ndash;11+ Years<br>
<b>Location:</b> <b>Riyadh - Onsite</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are seeking an experienced <b>AI Tools &amp; Enablement Specialist</b> with <b>3&ndash;11+ years of experience</b> to drive the adoption, enablement, and operationalization of AI tools across business and technology teams. The ideal candidate will have hands-on experience with enterprise AI platforms, productivity AI tools, low-code automation platforms, data science environments, and API-based AI integrations. This role focuses on enabling teams to effectively leverage AI capabilities, build AI-powered solutions, and accelerate business transformation initiatives.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Enable enterprise adoption of AI tools and platforms across business functions.</li><li>
Evaluate, configure, and implement AI solutions aligned with organizational needs.</li><li>
Support AI experimentation, prototyping, and rapid solution development.</li><li>
Develop AI-enabled workflows, automation solutions, and productivity enhancements.</li><li>
Create enablement materials, best practices, and usage guidelines for AI platforms.</li><li>
Collaborate with business stakeholders, data teams, and engineering teams to identify AI opportunities.</li><li>
Configure and support enterprise AI assistants, AI copilots, and generative AI solutions.</li><li>
Integrate AI capabilities with enterprise applications using APIs and automation frameworks.</li><li>
Support governance, security, and responsible AI adoption practices.</li><li>
Monitor AI tool usage, adoption metrics, and business impact.</li><li>
Provide training and guidance to users on effective AI utilization.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
AI &amp; Data Science Platforms</b></h3><ul><li>
Hands-on experience with <b>Dataiku or Databricks or Vertex AI Workbench</b> for AI experimentation, analytics, and machine learning workflows.</li><li>
Experience supporting AI/ML development environments and collaborative data science platforms.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI &amp; AI Assistants</b></h3><ul><li>
Experience with <b>Claude or ChatGPT Enterprise or Gemini</b> for enterprise AI enablement and productivity use cases.</li><li>
Understanding of prompt engineering, AI assistants, and Generative AI adoption practices.</li><li>
Experience evaluating AI capabilities for business workflows.</li></ul><h3 class="jobSectionHeader"><b>
Low-Code &amp; Automation Platforms</b></h3><ul><li>
Experience with <b>Microsoft Power Platform or Appian</b> for workflow automation, application development, and business process enablement.</li><li>
Ability to design AI-powered automation solutions using low-code platforms.</li></ul><h3 class="jobSectionHeader"><b>
AI Integration &amp; APIs</b></h3><ul><li>
Experience integrating AI services using <b>APIs</b>.</li><li>
Understanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applications.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field.</li><li><b>
3&ndash;11+ years</b> of experience in AI enablement, automation, analytics, digital transformation, software development, or technology consulting.</li><li>
Strong understanding of AI concepts, Generative AI capabilities, and enterprise AI adoption.</li><li>
Excellent communication, training, and stakeholder management skills.</li><li>
Ability to translate business requirements into AI-driven solutions.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience implementing enterprise AI adoption programs.</li><li>
Knowledge of AI governance, security, and responsible AI practices.</li><li>
Experience working with cloud AI platforms such as AWS, Azure, or Google Cloud.</li><li>
Familiarity with automation workflows, process optimization, and digital transformation initiatives.</li><li>
Experience creating AI training programs and user enablement content.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
AI &amp; Data Platforms:</b> <b>Dataiku or Databricks or Vertex AI Workbench</b></li><li><b>
Generative AI Tools:</b> <b>Claude or ChatGPT Enterprise or Gemini</b></li><li><b>
Automation Platforms:</b> <b>Microsoft Power Platform or Appian</b></li><li><b>
Integration:</b> APIs <b>and</b> REST-based AI service integrations</li><li><b>
AI Enablement:</b> AI Adoption <b>and</b> User Training <b>and</b> AI Workflow Optimization</li><li><b>
Enterprise AI Practices:</b> Responsible AI <b>and</b> Governance <b>and</b> Business Process Transformation</li></ul><p>
</p><p>CdGObnJzLD</p></div>

AI Tools & Enablement Specialist

<div><h1 class="jobSectionHeader"><b>Job Description: AI / ML Engineer</b></h1><p><b>
Job Title:</b> AI / ML Engineer<br>
<b>Experience:</b> 3&ndash;11 Years<br>
<b>Location:</b> <b>Riyadh (Onsite)</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are seeking a skilled <b>AI / ML Engineer</b> with <b>3&ndash;11 years of experience</b> to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Cloud AI Platforms</b></h3><ul><li>
Hands-on experience with <b>GCP Vertex AI or Azure Machine Learning or AWS SageMaker</b>.</li><li>
Experience with <b>Azure OpenAI or AWS Bedrock</b> for Generative AI solutions.</li><li>
Experience with <b>BigQuery ML and Dataflow</b> for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader"><b>
Programming &amp; Machine Learning</b></h3><ul><li>
Strong proficiency in <b>Python</b>.</li><li>
Experience developing machine learning solutions using <b>TensorFlow or PyTorch</b>.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI &amp; LLM Frameworks</b></h3><ul><li>
Experience with <b>Hugging Face and LangChain</b> for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Analytics</b></h3><ul><li>
Experience with <b>Databricks</b> for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader"><b>
MLOps &amp; Deployment</b></h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Cloud AI:</b> <b>GCP Vertex AI or Azure Machine Learning or AWS SageMaker</b></li><li><b>
Generative AI:</b> <b>Azure OpenAI or AWS Bedrock</b> <b>and</b> Large Language Models (LLMs)</li><li><b>
Data Processing:</b> <b>BigQuery ML and Dataflow</b> <b>and</b> Databricks</li><li><b>
Programming:</b> Python</li><li><b>
Machine Learning Frameworks:</b> <b>TensorFlow or PyTorch</b></li><li><b>
LLM Frameworks:</b> <b>Hugging Face or LangChain</b></li><li><b>
MLOps:</b> Docker <b>and</b> Kubernetes <b>and</b> CI/CD (Preferred)</li></ul><p>
</p><p>kmeseaCmpf</p></div>

AI / ML Engineer

MOZN

<div>
 <strong>
  <strong>
   About Mozn
   <br/>
   <br/>
  </strong>
 </strong>
 <p>
  MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
  <br/>
  <br/>
  We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
  <br/>
  <br/>
  If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 </p>
 <strong>
  <strong>
   About the role
   <br/>
   <br/>
  </strong>
 </strong>
 <p>
  We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 </p>
 <strong>
  What you'll do
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Designing, building, and scaling machine learning models and infrastructure
  </li>
  <li>
   Deploying deep learning and generative models into production for public and private sector projects
  </li>
  <li>
   Optimizing ML training and inference for performance, latency, and scalability
  </li>
  <li>
   Monitoring, retraining, and improving deployed ML models
  </li>
  <li>
   Driving consultation efforts, providing expert guidance to client stakeholders
  </li>
  <li>
   Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
  </li>
  <li>
   Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
  </li>
  <li>
   Develop backend services and APIs to expose AI capabilities securely and reliably
  </li>
  <li>
   Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
  </li>
  <li>
   Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or master's degree in computer science or related field
  </li>
  <li>
   3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI
  </li>
  <li>
   Strong track record of projects across public and private sectors
  </li>
  <li>
   Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
  </li>
  <li>
   Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
  </li>
  <li>
   Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
  </li>
  <li>
   Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
  </li>
  <li>
   Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
  </li>
  <li>
   Familiarity with MLOps practices and automation pipelines
  </li>
  <li>
   Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
  </li>
  <li>
   Experience building data ingestion, transformation, and processing pipelines
  </li>
  <li>
   Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
  </li>
  <li>
   Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
  </li>
  <li>
   Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
  </li>
  <li>
   Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
  </li>
  <li>
   Ability to independently build functional AI applications from prototype through production
  </li>
  <li>
   Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
  </li>
 </ul>
 <ul>
  <li>
   You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
  </li>
 </ul>
 <ul>
  <li>
   The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
  </li>
 </ul>
 <ul>
  <li>
   You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
  </li>
 </ul>
 <ul>
  <li>
   We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
  </li>
 </ul>
</div>


AI Engineer

Scale AI

<div>
 Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale&rsquo;s work with governments and government-backed entities outside of the United States.
 <br/>
 <br/>
 We develop bespoke solutions that leverage our customers&rsquo; proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.
 <br/>
 <br/>
 <ul>
  <li>
   Developing custom AI applications
  </li>
  <li>
   Building custom LLMs
  </li>
  <li>
   Providing high-quality training data for research and government institutions building LLMs
  </li>
  <li>
   Developing partnerships to foster regional talent growth and AI adoption
   <br/>
   <br/>
  </li>
 </ul>
 We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.
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 You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well.
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  Responsibilities:
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   Lead design workshops with the client to define custom AI solutions
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   Scope out new AI application use cases across various government entities
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   Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
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   Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
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   Stay up to date with latest research in applied AI and training custom LLMs
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   Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
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   Give regular progress updates to the client and Global Public Sector leadership
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 <strong>
  Minimum Qualifications:
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  <li>
   4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
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   Strong technical background (STEM degree) and/or experience building technical software products
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   Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
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   Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
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   Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
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  Nice to haves:
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 </strong>
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  <li>
   Coding experience (Python)
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   Proficiency in Arabic, both written and spoken
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  </li>
 </ul>
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  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  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.
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 </em>
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  About Us:
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  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,
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 <em>
  Ernst
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  &amp;
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  Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
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  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.
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  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
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
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  <br/>
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  We comply with the United States Department of Labor's
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 <em>
  Pay Transparency provision
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  .
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 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  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.
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Product Manager of AI Applications, Global Public Sector

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