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Sadat Consulting

Sen your CV across mohammed.sadatgac@gmail.com with below details1. Notice period 2. Current salary 3. Expected salary 4. Do you have Transferable IQAMARole Purpose Develop AI-enabled automation aligned with roadmap including automation workflows, AIassisted reporting, anomaly detection, and enterprise AI integration patterns.Key Responsibilities<ul><li>Develop automation pipelines and workflow automations</li><li>Integrate enterprise AI services (LLM APIs, automation endpoints)</li><li>Develop anomaly detection logic and operational intelligence rules</li><li>Build AI-assisted reporting components aligned with dashboards</li><li>Maintain AI/automation documentation and reproducibility</li><li>Ensure governance-aligned AI implementation (approval where required)</li><li>Support integration of AI outputs into enterprise apps (Frappe, dashboards)</li></ul>Mandatory Technical Requirements<ul><li>Python (ML/automation stack)</li><li>Experience integrating enterprise AI APIs</li><li>Familiarity with RAG architecture concepts</li><li>Automation frameworks and scripting (job scheduling, pipelines)</li><li>Strong integration skills (API-based orchestration)</li></ul>Minimum Experience<ul><li>8+ years experience</li><li>Proven delivery of AI/automation in enterprise environments</li></ul>Job Types: Full-time, PermanentWork Location: In person

AI Automation (LLMs, RAG) Engineer

Talent 360

<div>We are looking for Saudi graduates to join our team as an AI &amp; Automation Intern (Tamheer Program) in Riyadh. This role focuses on artificial intelligence, workflow automation, and digital transformation, supporting the development of smart systems that improve business operations across departments such as operations, sales, marketing, and administration.
The intern will gain hands-on experience in AI-driven workflows, computer vision, and data-driven automation. This is a great opportunity to work on practical AI projects, explore model development, and contribute to business process improvement.
Key Responsibilities:<ul><li>
Assist in building AI models and workflows for business use cases
</li><li>Support tasks in computer vision such as image analysis, preprocessing, and basic object detection using OpenCV
</li><li>Help prepare and validate datasets for AI model training
</li><li>Support fine-tuning of pre-trained AI models (CNNs, RNNs) under guidance
</li><li>Assist in data extraction and cleaning for AI workflows
</li><li>Contribute to reusable AI and automation solutions
</li>Collaborate with teams to integrate AI tools into business processes and improve workflows 
<li>
</li></ul> 
 
Requirements 
Eligibility Requirements (Tamheer Program)<ul><li>
Saudi national
</li><li>Diploma (minimum one academic year) or Bachelor&rsquo;s degree or higher
</li><li>Unemployed for at least 6 months
</li><li>Not currently registered with GOSI (General Organization for Social Insurance)
</li><li>Not previously enrolled in the Tamheer program
</li><li>Age not exceeding 30 years
</li></ul>Preferred Qualifications<ul><li>
Strong interest in AI, computer vision, and automation
</li><li>Basic familiarity with OpenCV, CNNs, or RNNs is a plus
</li><li>0&ndash;1 year of experience (fresh graduates encouraged)
</li><li>Strong communication, analytical, and problem-solving skills
</li><li>Eagerness to learn AI systems, model fine-tuning, and workflow automation concepts
</li><li>Preferably based in Riyadh</li></ul> 

Benefits 
<ul><li>
Tamheer Internship Program (structured training opportunity)
</li></ul><ul><li>Hands-on experience in AI, computer vision, and automation
</li><li>Exposure to real business use cases across multiple departments
</li><li>Opportunity to work with modern AI tools and automation concepts
</li><li>Full-time training experience in Riyadh
</li><li>Professional development in a fast-growing technology domain</li></ul></div>

AI & Automation Intern - Tamheer Program | Riyadh, KSA

SARJ

<div>Sarj.ai is hiring an AI/ML Engineer to train and deploy speech models that power our voice communications platform. We work in Python and PyTorch on GCP. Strong deep learning fundamentals highly appreciated.<h3 class="jobSectionHeader">
What you'll do</h3><ul><li>
Train large-scale speech models (STT/TTS)</li><li>
Work with modern speech architectures and push them to production</li><li>
Build and maintain ML training pipelines for real-time voice processing</li><li>
Develop evaluation frameworks and improve model performance</li><li>
Collaborate with product and engineering to ship AI-powered features</li></ul><h3 class="jobSectionHeader">
What we're looking for</h3><ul><li>
2+ years working with ML in production</li><li>
Strong Python + PyTorch/PyTorch Lightning</li><li>
Understanding of deep learning fundamentals</li><li>
Experience with speech/audio ML is a strong plus</li><li>
Experience with large-scale or distributed training</li><li>
Familiarity with GCP (Vertex AI, Cloud Run, BigQuery)</li></ul></div>

AI Research Engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About the role
Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region . As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
Qualcomm is seeking a Senior Staff / Principal Software Architect to define, evolve, and technically lead rack management software platforms for AI accelerator deployments in hyperscale and sovereign data center environments. This role is responsible for end-to-end architectural ownership across provisioning, monitoring, orchestration, security, and lifecycle management for rack-scale AI systems spanning heterogeneous hardware and software stacks.
The architect will operate at the intersection of hardware, firmware, infrastructure software, and operations , setting long-term technical direction while remaining hands-on where critical. This role partners closely with platform architects, hardware teams, ODMs, ISVs, and customer engineering teams to deliver scalable, secure, and operable rack management systems in production data centers.
Key Responsibilities
Architecture &amp; Technical Leadership
<ul><li>Own the end-to-end architecture for rack management software covering provisioning, monitoring, orchestration, and lifecycle management for AI accelerator racks.
</li><li>Define reference architectures, design patterns, and technical standards for rack-scale management software across Qualcomm data center platforms.
</li><li>Drive architectural decisions across control plane, telemetry, security, and lifecycle workflows while balancing scale, reliability, and operability.
</li><li>Review and approve designs across teams; provide architectural mentorship to Senior and Staff engineers.
</li></ul>Rack &amp; Hardware Integration
<ul><li>Architect integrations with rack-level hardware components including BMCs, PDUs, CDUs, PCIe switches , and accelerators using Redfish, SNMP, IPMI , and vendor-specific extensions.
</li><li>Establish scalable approaches for firmware lifecycle management, crash dump collection, remote diagnostics, and failure isolation .
</li><li>Define system behavior across power, thermal, networking, and PCIe fabrics at rack scale.
</li></ul>Platform &amp; Orchestration Integration
<ul><li>Architect integration between rack management software and cluster orchestration and provisioning frameworks (e.g., Kubernetes, Terraform, Foreman).
</li><li>Partner with AI platform teams to align rack-level controls with AI workload orchestration, scheduling, and capacity management .
</li><li>Enable multi-rack / multi-cluster federation patterns where required for large deployments.
</li></ul>Observability, Reliability &amp; Operations
<ul><li>Define telemetry, observability, and diagnostics architectures using systems such as Prometheus, Grafana, and log aggregation pipelines.
</li><li>Establish architectural frameworks for reliability, fault isolation, MTTR reduction, and Day-2 operations .
</li><li>Ensure operational readiness with clear runbooks, dashboards, and escalation paths aligned to real-world datacenter operations.
</li></ul>Security &amp; Multi-Tenancy
<ul><li>Architect secure rack management systems with secure boot, role-based access control, VLAN separation, QoS enforcement , and tenant isolation.
</li><li>Partner with security and compliance teams to ensure designs meet enterprise and sovereign datacenter requirements .
</li><li>Establish guidelines for credential handling, secrets management, and auditability across rack management workflows.
</li></ul>Cross-Functional &amp; External Collaboration
<ul><li>Serve as the technical point of contact with ODMs, ISVs, and component vendors (e.g., Pegatron) for rack software interfaces and protocols.
</li><li>Drive software EBOM strategy , interface specifications, and protocol documentation.
</li><li>Influence roadmaps across hardware, firmware, software, and operations teams through technical leadership rather than direct authority.
</li></ul><div></div>Required Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related field.
</li><li>10+ years of experience in infrastructure or systems software development, with architect-level ownership in at least part of that career.
</li><li>Deep proficiency in Python, C++, and system-level scripting .
</li><li>Proven experience designing systems that interact closely with server hardware, networking, and storage .
</li><li>Strong experience with Redfish APIs, DCIM tools , and rack or datacenter management platforms.
</li><li>Demonstrated ability to lead architecture across multiple teams and influence without direct reporting lines.
</li><li>Exceptional debugging skills across hardware/software boundaries in production systems.
</li></ul><div></div>Preferred Qualifications
<ul><li>Experience architecting or operating rack-scale or cluster-scale AI infrastructure .
</li><li>Familiarity with OpenBMC ecosystems and tools (e.g., Gigabyte Pod Manager).
</li><li>Experience designing large-scale telemetry, logging, and observability systems .
</li><li>Exposure to AI workload orchestration platforms (e.g., Kubernetes, Kubeflow).
</li><li>Prior experience working directly with ODMs or silicon/platform vendors .
</li><li>Background in datacenter reliability engineering, capacity planning, or SRE models .
</li></ul><div></div>Role Expectations at This Level
<ul><li>Acts as technical authority for rack management software
</li><li>Drives long-term architectural consistency , not just project delivery
</li><li>Raises the technical bar across the organization through mentorship and design leadership
</li><li>Remains hands-on where it matters , but optimizes for scale and leverage
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Senior Staff / Principal Software Architect – System Level Datacenter AI Platforms - Riyadh, KSA

Noon Academy

<div>About Noon Academy:
We&rsquo;re on a mission to radically change the way students learn. We started with a simple idea&mdash;access to the best teachers shouldn&rsquo;t be a luxury, and learning should energize, not drain you. We believe in solving hard problems, and we play to win&mdash;we measure progress by revenues, students, and learning gains. Our approach? Build high-performing teams, giving them the freedom to dream big and execute boldly.
Today, we&rsquo;re building the next generation of schools in Saudi Arabia. We believe every student deserves world-class teachers. And to make it happen, we&rsquo;re reimagining everything about education: from cutting-edge tech to peer learning and physical spaces that spark curiosity. The verdict is clear: students don't just tolerate hybrid, they love it.
We&rsquo;re aiming for an IPO, and the product you&rsquo;ll build is core to getting us there. The scale is real. We expanded to 28 schools in our second year of operations, and we're expanding to 100+ schools around the Kingdom in the near future.
Hear about our vision directly from our CEO here.
Learn more about us: here
Why This Role Matters?
Running great schools at scale is an unsolved problem. Timetables, staffing, student success, operational workflows, quality loops. It's a web of complexity that no off-the-shelf software can handle. So we're building our own.
We call it the Ops OS &mdash; an intelligent, event-driven system that makes schools work and scale. Think of it as the nervous system of a school network: routing the right information to the right person at the right time. We're looking for AI Systems Engineers who want to build things that matter
Role Summary
This isn't a typical AI/ML role. You won't be training models in isolation or writing research papers. You'll be embedded in the real world. Talking to students, school staff and internal leaders. You&rsquo;ll be understanding messy operational problems, and shipping working systems that people rely on every single day.
You'll use AI as a power tool alongside strong product engineering skills to build internal apps, data pipelines, dashboards, and intelligent workflows.
What You'll Do<ul><li>
Investigate real problems &mdash; sit with ops teams and school leads to deeply understand what's broken before writing a line of code.</li><li>
Build fast &mdash; go from messy problem spec working prototype in days, not months. We use Claude Code, Cursor, Replit, and every AI tool that makes us faster.</li><li>
Ship products, not scripts &mdash; build real, production-quality tools with great UX (React/TypeScript, Supabase, APIs). Our users are internal Nooners, students, teachers, and school staff. Each user deserves thoughtful designs!</li><li>
Design systems that compound &mdash; think in loops, not features. Data insight action feedback better data.</li><li>
Own your domain end-to-end &mdash; from problem discovery to adoption. If nobody uses it, we haven't succeeded.</li></ul>
What We're Looking For<ul><li>
You think before you build. You can explain a problem to a non-technical person in 30 seconds.</li><li>
You're fast. Ruthlessly good at scoping: 80% of the impact with 20% of the effort.</li><li>
You're strong in data &amp; SQL, AI/LLMs, and product engineering.</li><li>
You&rsquo;re eager to learn and adopt new tools and ways of working.</li><li>
You build things that work, not things that look impressive on a slide.</li><li>
You communicate clearly &mdash; in writing, in demos, in Slack. No jargon.</li><li>
You don't wait to be told. You find the problem, propose the solution, and drive it.</li><li>
Fluent in Arabic and English</li><li>
Based in Riyadh (or able to relocate by an agreed date)</li></ul>
Bonus Points<ul><li>
Experience with event-driven architectures or operational systems.</li><li>
You've built internal tools or ops platforms before.</li><li>
You've used AI coding tools (Cursor, Copilot, Claude) to move 5x faster and ship real products.</li></ul>
Why Noon?<ul><li>
Real impact &mdash; your work directly affects how thousands of students learn every day.</li><li>
Speed and autonomy &mdash; small team, big problems, zero bureaucracy.</li><li>
AI-native culture &mdash; we don't just talk about AI, we build with it daily.</li><li>
Well-funded &mdash; Series B closed, substantial recurring revenue, and accelerating.</li><li>
Mission that matters &mdash; every student deserves world-class teachers. We're making it happen.</li></ul>
Benefits
In addition to a competitive base salary, we offer:<ul><li>
Employee Stock Ownership Plan (ESOP)</li><li>
Performance-based bonus</li><li>
21 days of annual leave</li><li>
Full premium Medical coverage, including Family Dependent</li></ul>
If you're a builder who wants to solve hard problems in education and create something students talk about for years to come, we would love to talk to you.</div>

AI Systems Engineer

Prime Gate

<div>Job Overview:
The QA Engineer is responsible for ensuring the quality, reliability, and performance of enterprise applications through a combination of manual and automated testing. The ideal candidate will have strong experience in test planning, test automation, CI/CD integration, and performance testing. This role involves working closely with developers, product managers, and DevOps teams to identify and resolve defects before release.
Key Responsibilities:<ul><li>Develop and execute comprehensive test plans, test cases, and test scripts.</li><li>Perform functional, regression, integration, and performance testing for enterprise applications.</li><li>Design and implement automated test scripts using Katalon (much important), Selenium, Appium, or similar frameworks.</li><li>Collaborate with developers to ensure testability of new features and improve code quality.</li><li>Work with CI/CD pipelines to integrate automated testing in deployment workflows.</li><li>Monitor application performance and conduct load/stress testing using JMeter.</li><li>Track and manage defects using issue tracking tools such as Azure, TestRail.</li><li>Ensure security best practices by performing vulnerability and API security testing.</li><li>Review requirements and specifications to provide early feedback on usability and design.</li><li>Stay updated with the latest testing methodologies, tools, and industry trends.</li></ul>
Required Skills and Qualifications:<ul><li>4+ years of experience in software testing (manual and automation) for enterprise applications.</li><li>Strong knowledge of test automation frameworks (Katalon, Selenium, Appium).</li><li>Experience with API testing tools (Postman, REST Assured).</li></ul>
&bull; Proficiency in scripting languages (Python, JavaScript, Java, Grovy) for test automation.&bull; Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD).<ul><li>Strong understanding of testing methodologies (Agile, DevOps).</li><li>Experience with mobile testing tools (Appium).</li><li>Knowledge of performance testing tools (JMeter , LoadRunner ).</li><li>Familiarity with security testing principles.</li><li>Excellent problem-solving and analytical skills.</li></ul>
Preferred Qualifications:<ul><li>Experience with cloud testing platforms (BrowserStack).</li><li>Knowledge of SQL and database testing for data integrity validation.</li><li>Experience with test case management tools (TestRail).</li></ul>
Experience Level:
Mid to Senior (4+ Years)
Employment Type:
Full-time</div>

QA Engineer

CodeNinja

<div>About CodeNinja
CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.
With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge &mdash; ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.
For the Client's Test Management Enablement &amp; Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing &mdash; all governed under a structured 20-week program delivery framework.
About the Role
The Senior Automation Engineer (Onsite) is responsible for developing and maintaining UI and API test scripts with direct access to the Client's SIT/UAT environments. As the automation execution anchor on the ground, this role coordinates closely with the Client's QA teams for environment access, test data, and defect triage during active SIT/UAT cycles.
Key Responsibilities<ul><li>Develop automated test scripts for UI (Playwright/Selenium) and API (REST Assured) layers with direct the Client's environment access.</li><li>Build and maintain reusable Page Object Model libraries and data-driven test components.</li><li>Execute regression, smoke, and risk-based selective test suites onsite across SIT and UAT environments.</li><li>Coordinate directly with the Client's QA teams for environment access, test data conditioning, and defect triage.</li><li>Integrate automation scripts into Jenkins/GitLab CI/CD pipelines with quality gate enforcement.</li><li>Lead onsite execution of complex end-to-end and cross-system automated scenarios requiring direct the Client's network access.</li><li>Participate in peer code reviews, enforce automation coding standards, and mentor the Client's team members on automation best practices.</li><li>Debug test failures onsite with access to application logs, monitoring tools, and the Client's infrastructure.</li></ul> 
Requirements<ul><li> 
7+ years of hands-on automation engineering experience.</li><li>Expert in Playwright and/or Selenium WebDriver (Java or JavaScript).</li><li>Strong API automation skills with REST Assured or equivalent.</li><li>Experience with Page Object Model, data-driven testing, and centralised configuration patterns.</li><li>Proficiency with Jenkins or GitLab CI/CD integration for automated test execution.</li><li>Familiarity with Allure or similar reporting frameworks.</li><li>Experience automating banking or financial services applications is a strong advantage.</li><li>Onsite presence in Riyadh required (Sun&ndash;Thu, KSA business hours).</li><li>Preferred Certifications: ISTQB Advanced Test Analyst, Playwright Certified, Selenium Certified.</li></ul>
Why Join CodeNinja?<ul><li>Work on high-impact, flagship banking transformation programs with a Tier-1 Saudi financial institution.</li><li>Be part of a team that's shaping the future of AI-enabled test automation in the MENA region.</li><li>Collaborate with world-class QA professionals across onsite and offsite delivery models.</li><li>Access to continuous upskilling &mdash; certifications, AI/ML tooling, and emerging QA methodologies.</li><li>Competitive compensation with performance-linked incentives and career progression pathways.</li><li>A culture that values technical excellence, ownership, and innovation without bureaucracy.</li></ul>
Disclaimer
This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.
All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.</div>

Senior Automation Engineer - UI & API | Playwright | Selenium

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