mechanical engineer

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electrical engineer

ai speech engineer

SilkyNet

We are looking for an AI engineer to work on an innovative AI voice conversion project.Project Description: Developing a system that converts one reciter's voice to another's voice while preserving the original recitation style using AI techniques.Tasks: - Training voice cloning and voice conversion models - Working with voice conversion models such as RVC or So-VITS - Improving audio quality and reducing latency - Building a prototype of the systemJob Type: Full-timePay: From ﷼6,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Ai: 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Location:<ul><li>Jeddah (Required)</li></ul>Work Location: Hybrid remote in Jeddah

AI speech engineer

Cisco

Meet the Team
 As a Solutions Engineer at Cisco, you will work closely with the Service Provider Sales team to identify the needs one of Cisco’s most strategic Service Provider accounts in Saudi Arabia, demonstrate Cisco solutions, and design tailored products that drive digital transformation. You will provide expert technical guidance focused on customer success and aligned outcomes, while enjoying the flexibility to handle your work in a way that delivers the best results for both the customer and your team. This role requires a senior technical leader who combines Data Center architecture expertise, Enterprise networking and cybersecurity solutions with strong AI, automation capable of guiding customers toward fully autonomous, AI-driven networks.
 
Your Impact
 As a Solution Engineer, you will play a pivotal role in accelerating Cisco's leadership by acting as a trusted technical advisor and solution architect. Your expertise will be crucial in translating service provider objectives into comprehensive, impactful architecture and solution strategies across Cisco’s diverse portfolio. Serve as the technical lead within the account team, building trusted advisor relationships with senior IT and business leaders.
 
<ul>
<li>Own the end-to-end technology vision and architecture, spanning Service Provider networks, Data Center, Cloud, Automation, Cybersecurity and AI driven operations.</li>
<li>Lead the design of large-scale, highly scalable Data Center, Enterprise Networking and cybersecurity architectures, aligned with future autonomous networking models.</li>
<li>Lead AI-driven network transformation initiatives, including:</li>
<li>Applying AI/ML and LLM models to network operations, assurance, planning, and optimization</li>
<li>Positioning Agentic AI for closed-loop decision making, intent execution, and self-healing networks</li>
<li>Integrating AI capabilities across transport, Data Center, cloud and cybersecurity domains</li>
<li>Articulate and demonstrate the business impact of AI on network efficiency, cost optimization, resilience, and customer experience.</li>
<li>Lead network automation and orchestration strategy, with deep expertise in DNA Center, Nexus Dashboard, Cisco Intersight and Cisco Crosswork Automation portfolio</li>
<li>Collaborate with account teams, product leaders, and executives to influence roadmaps, investment decisions, and long-term transformation strategy.</li>
<li>Develop and present high-impact technical proposals, architectures, and demonstrations.</li>
<li>Support proof of concepts (POCs), pilots, and solution validation to accelerate decision-making and adoption.</li>
</ul>
Minimum Qualifications
 
<ul>
<li>Extensive experience (5 years minimum in presales, consultative, or solution architect roles), demonstrating a proven presales track record in designing and deploying complex solutions, particularly in routing, switching, data center, cloud and cybersecurity.</li>
<li>Deep technical expertise in:</li>
<li>Scalable, AI-ready Data Center architecture including compute solutions, data center networking, ACI, cloud-native technologies (K8s, Docker), CI/CD, automation, DevOps practices</li>
<li>Enterprise network architectures using Cisco routing, switching and wireless solutions, SD-WAN, SASE, modern AI Ops/ML Ops, and programming/scripting capabilities.</li>
<li>Cybersecurity architecture including Cisco Secure Access (or competitor solutions), Security Service Edge, Zero Trust Network Access (ZTNA) and Firewall as a Service</li>
<li>Strong AI and automation expertise, including:</li>
<li>Applied understanding of AI/ML models for networking use cases such as assurance, optimization, planning, and predictive operations</li>
<li>Architectural or hands-on knowledge of LLM-based systems for operational insights, automation, and decision support</li>
<li>Experience designing or positioning Agentic AI frameworks to enable closed-loop, intent-based, and autonomous network operations</li>
<li>Strong understanding of Cisco technologies and architecture, with proven cross-architecture experience to translate client objectives into comprehensive solutions across Cisco’s full portfolio.</li>
<li>Ability to simplify complex technical concepts for both technical and non-technical audiences, coupled with strong executive-level communication skills.</li>
<li>Solid experience engaging directly with customers, applying consultative selling techniques, understanding financial pain points, and aligning solutions with customer business models to drive value realization and adoption.</li>
<li>Demonstrated ability to collaborate effectively with internal product and engineering teams, CX, and partners.</li>
<li>An outcome-driven narrative and a strong focus on delivering impactful architecture and solution strategies.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Bachelor’s degree in electrical engineering, Computer Science, or a related field.</li>
<li>Cisco certifications (e.g., CCNP, CCIE) or equivalent vendor credentials.</li>
<li>Service Provider Routing and Transport, including SR-MPLS and SRv6</li>
<li>Mobility and 5G Core network design and evolution</li>
<li>Advanced network assurance architectures, including telemetry-driven assurance, AI-based fault detection, performance analytics, and service visibility</li>
<li>Ability to work effectively, add value as a team member, and assume a proactive approach to your career, demonstrating a growth mindset and adaptability.</li>
<li>Excellent written and verbal communication, listening, and strong presentation skills.</li>
<li>Experience in Saudi Arabia market is highly desirable, with Arabic language proficiency considered a significant plus.</li>
<li>Exceptional presentation and storytelling skills, including:</li>
<li>CxO-level presentations</li>
<li>Translating AI and technical complexity into clear business outcomes</li>
<li>Leading executive briefings, vision workshops, and strategy sessions</li>
<li>Proven ability to build trusted relationships with C-level executives and senior stakeholders.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.

Solutions Engineer - Service Provider

ARMADA

<div><div>About the Company
<div>
Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world's most remote places. Named one of Fast Company's Most Innovative Companies, Armada's solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.</div>
<div></div>
<div>With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us.</div>
<div></div>
<div>Working at Armada means taking ownership, driving autonomy, and delivering impact. You'll tackle challenges that haven't been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada's mission to bridge the digital divide for customers around the world.</div></div><h3 class="jobSectionHeader"> 
About Armada</h3>

Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada's AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.

Saudi Arabia is Armada's operational anchor for the ME region. As we scale, we are intentionally building a team of senior, versatile operators who can both get systems live and own customers long-term. This role is designed for engineers who want full lifecycle ownership, not narrow scope. 

<h3 class="jobSectionHeader">
Role Overview</h3>

The Senior Forward Deploy Engineer is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership for Armada customers across ME. This role combines the intensity and depth of a Forward Deploy Engineer with the long-term customer ownership of a Technical Account Manager.

In the early phases of customer engagement, this role leads deployments, platform bring-up, and initial workload execution. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, and expansion.

This role reports into the Sr. Director of Customer Success &amp; Delivery, EMEA &amp; ANZ and is intentionally designed to avoid split ownership between deployment and post-sale success. Success is measured by speed to production, customer confidence, platform adoption, retention, and expansion. 

<h3 class="jobSectionHeader">
Key Responsibilities</h3>

Deployment execution and platform bring-up
<ul>
<li>Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service</li>
<li>Own on-site and in-country deployments across Saudi Arabia and the broader ME region</li>
<li>Own infrastructure bring-up, platform configuration, and production readiness validation</li>
<li>Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers</li>
</ul>
Technical account ownership and customer success
<ul>
<li>Serve as the primary technical point of contact for assigned customers post go-live</li>
<li>Own the technical success plan, adoption milestones, and operational maturity roadmap</li>
<li>Build trusted, long-term relationships with customer engineering, IT, OT, and security team</li>
<li>Lead technical governance discussions, roadmap planning, and platform optimization conversations</li>
</ul>
Joint Success Plan ownership
<ul>
<li>Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer</li>
<li>Align deployment milestones, platform adoption, and operational maturity to customer business objectives</li>
<li>Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking</li>
<li>Regularly review progress against success plans with customer stakeholders and Armada leadership</li>
<li>Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning</li>
<li>Surface risks, dependencies, and blockers early and drive resolution with clear ownership</li>
</ul>
Time-to-value acceleration and adoption
<ul>
<li>Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases</li>
<li>Drive adoption across new workloads, business units, and countries</li>
<li>Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS</li>
</ul>
Operational excellence and reliability
<ul>
<li>Ensure customer environments remain stable, secure, and production-ready</li>
<li>Proactively identify scaling risks, architectural gaps, and technical debt</li>
<li>Coordinate with Product, Engineering, and Support teams to resolve issues efficiently</li>
</ul>
Sovereign data, security, and compliance execution
<ul>
<li>Operate confidently within Saudi and regional sovereign data and security requirements</li>
<li>Support security validation, audits, and governance processes as required by customers</li>
<li>Maintain disciplined access control, documentation, and operational hygiene</li>
</ul>
Field leadership and mentorship
<ul>
<li>Act as a senior technical presence for ND8 customers, setting the bar for execution and professionalism</li>
<li>Mentor junior FDEs, TAMs, and delivery engineers as the region scales</li>
<li>Contribute to deployment standards, runbooks, and repeatable best practices</li>
</ul>
Cross-functional collaboration
<ul>
<li>Partner closely with the Sr. Director of Customer Success &amp; Delivery, EMEA &amp; ANZ on customer priorities and escalations</li>
<li>Work with Sales on expansion planning while maintaining a trusted post-sale posture</li>
<li>Provide structured feedback to Product and Engineering based on real customer usage</li></ul> 

<h3 class="jobSectionHeader">
Qualifications and Experience</h3>
<ul><li>8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles</li>
<li>Proven ability to own both hands-on delivery and long-term customer technical relationships</li>
<li>Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute</li>
<li>Strong troubleshooting skills in live, production environments</li>
<li>Experience working directly with customers in regulated, high-stakes settings</li>
<li>Willingness to travel across Saudi Arabia and the broader ME region</li>
<li>Clear, confident communication style suitable for executive and engineering audiences</li></ul> 

<h3 class="jobSectionHeader">
Preferred Experience</h3>
<ul><li>Experience with edge compute, modular data centers, or distributed infrastructure</li>
<li>Familiarity with AI workloads, GPU clusters, and high-performance computing environments</li>
<li>Exposure to sovereign or national-scale customer environments</li>
<li>Experience operating in Saudi Arabia, UAE or across ME</li>
<li>Comfort operating with ambiguity and owning outcomes end to end</li></ul> 

<h3 class="jobSectionHeader">
What Success Looks Like</h3>
<ul><li>Customer environments reach production quickly and operate reliably</li>
<li>The same engineer who deploys the platform remains the trusted technical owner</li>
<li>Adoption expands across sites, workloads, and teams without handoff friction</li>
<li>Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership</li></ul><div> 

You're a Great Fit if You're
<ul>
<li>A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge</li>
<li>A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a &quot;get-it-done&quot; attitude</li>
<li>Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company</li>
<li>A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda</li>
<li>Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you</li></ul> 


Equal Opportunity Statement

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. 


Unsolicited Resumes and Candidates

Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.</div></div>

Senior Forward Deploy Engineer

Artificial Intelligence Global Company

<div>
 
 The Role
 
 
 We are seeking a
 
 
 Customer Success Engineer / Manager
 
 
 to lead secure deployment,
 
 
 operational adoption, and value expansion of our AI systems across industrial customers in Saudi Arabia and the Gulf region.
 
 
 You will serve as the technical face of the company in the region, guiding customers from Proof of Concept through production rollout. You will ensure compliance with regional standards, drive measurable operational impact, and build trusted relationships from field engineers to leadership.
 
 
 
 
 
 This role requires strong
 
 on-site presence, technical depth, operational credibility, and the ability to operate eƯectively in complex, high-stakes industrial environments
 
 .
 
 
 
 Key Responsibilities
 
 
 
 Secure Deployment &amp; Integration: Lead deployment of Industrial AI systems within
 
 
 complex Oil &amp; Gas and process industry environments. Integrate with systems such as PI Historian, SAP (PM/MM/ERP), EDMS, SCADA/DCS, CMMS, and APM platforms. Ensure
 
 
 compliance with industrial cybersecurity and regional regulatory standards.
 
 
 Operational Value: Develop and deliver customer success plans tied to measurable KPIs (e.g., uptime improvement, productivity gains, maintenance cost reduction).
 
 <ul>
 <li>
 Translate plant data and AI outputs into actionable engineering insights.
 </li>
 <li>
 Lead scenario investigations and support data-driven operational decision-making.
 </li>
 <li>
 Customer Adoption &amp; Relationship Ownership: Manage expectations across stakeholder groups. Guide plant teams through onboarding, change-management, and continuous improvement. Build trusted relationships across operations, engineering, IT, and leadership.
 </li>
 <li>
 Drive user adoption and sustained platform utilization.
 </li>
 <li>
 Voice of the Customer &amp; Growth Enablement: Act as the Voice of the Customer to internal product and engineering teams. Relay customer priorities and feedback to inform roadmap and product improvements. Identify expansion opportunities and support executive business reviews. Represent technical expertise in strategic customer discussions.
 </li>
 <li>
 Startup Mindset: Operate with urgency, accountability, and initiative. Take ownership beyond defined boundaries when needed. Thrive in fast-moving, high-impact startup environments.
 </li>
 </ul>
 
 
 Required Experience
 
 
 <ul>
 <li>
 
 4&ndash;10+ years of experience in Customer Success, Technical Account Management, Solution
 
 </li>
 <li>
 Architecture, or similar client-facing roles supporting enterprise customers in asset-heavy industrial sectors
 </li>
 <li>
 Proven track record of delivering measurable ROI and long-term value &mdash; not just
 </li>
 </ul>
 
 successful technical deployments
 
 <ul>
 <li>
 Demonstrated ability to manage complex stakeholder environments and earn trust in high￾stakes production settings
 </li>
 <li>
 Experience in plant environments, industrial information systems, and operational workflows
 </li>
 <li>
 Experience in integrating into systems such as PI, SAP, EDMS, SCADA/DCS, CMMS, or APM
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Engineering, Computer Science, Business Administration, or equivalent practical experience.
 
 </li>
 <li>
 Proficient in operational and enterprise systems, including: PI Historian,
 </li>
 <li>
 DCS / SCADA environments, SAP (PM, MM, ERP modules), Engineering Data &amp; Document
 </li>
 <li>
 Management Systems (EDMS), CMMS / APM platforms
 </li>
 <li>
 Working knowledge of AI/ML-based platforms and SaaS in industrial settings
 </li>
 <li>
 Familiarity with knowledge graphs, Large Language Models (LLMs), multimodal AI, and multi-agent systems
 </li>
 <li>
 Ability to translate AI capabilities into tangible operational and financial value
 </li>
 <li>
 Familiarity with industrial and regional cybersecurity requirements
 </li>
 </ul>
</div>

Customer Success Manager

KAUST (King Abdullah University of Science and Technology)

<div>
 
 
 About the Role
 
 
 
 
 
 
 The AI/ML Support Automation Analyst will be a key member of the KSL AI Support Team, focusing on MLOps infrastructure, container orchestration, and workflow automation at a supercomputing scale.
 
 
 This role is responsible for developing and maintaining secure, OCI-compliant container images, robust CI/CD pipelines, and cloud-native MLOps workflows that enable researchers to efficiently deploy and manage AI/ML workloads. The Analyst will bridge the gap between cutting-edge Kubernetes-based infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 MLOps and Container Development
 
 
 <ul>
 <li>
 Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries.
 </li>
 <li>
 Maintain high customer service standards in dealing with and responding to user issues and questions.
 </li>
 <li>
 Develop and maintain secure, OCI-compliant, and HPC-ready AI/ML and data science software container images.
 </li>
 <li>
 Design and implement robust MLOps workflows and pipelines at supercomputing scale.
 </li>
 <li>
 Develop and maintain CI/CD pipelines for reproducible infrastructure and workflow deployment.
 </li>
 <li>
 Design and deploy APIs for AI/ML services and inference endpoints.
 </li>
 <li>
 Implement and manage Kubernetes-based orchestration, including CNI, CSI, and service mesh configurations and optimization.
 </li>
 <li>
 Deploy and maintain container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry).
 </li>
 </ul>
 
 
 
 
 
 Governance and Compliance Support
 
 
 <ul>
 <li>
 Assist in computational readiness reviews for AI research projects.
 </li>
 <li>
 Assist in AI model and artifact control reviews to ensure compliance with institutional standards.
 </li>
 <li>
 Provide consultation to users on efficient resource usage for AI/ML and MLOps workflows.
 </li>
 <li>
 Ensure container images and workflows comply with security policies and best practices.
 </li>
 <li>
 Support the implementation of usage monitoring and reporting systems.
 </li>
 </ul>
 
 
 
 
 
 Performance and Benchmarking
 
 
 <ul>
 <li>
 Perform performance debugging and tuning of MLOps and cloud-native workflows.
 </li>
 <li>
 Develop and maintain AI/ML and MLOps workload benchmarks for procuring new systems.
 </li>
 <li>
 Create and maintain regression testing workloads for existing clusters.
 </li>
 <li>
 Deploy and maintain observability and resource monitoring stacks using Prometheus, Grafana, NVIDIA DCGM, and Grafana Loki.
 </li>
 <li>
 Contribute to technology evaluation and benchmarking exercises for future infrastructure investments.
 </li>
 </ul>
 
 
 
 
 
 Training and Documentation
 
 
 <ul>
 <li>
 Create comprehensive training content for users on MLOps platforms, Kubernetes, and containerization.
 </li>
 <li>
 Develop and maintain high-quality user documentation for automation tools and workflows.
 </li>
 <li>
 Support the delivery of workshops on CI/CD, container orchestration, and MLOps best practices.
 </li>
 <li>
 Contribute to knowledge transfer initiatives within the KAUST research community.
 </li>
 <li>
 Provide one-on-one consultation to researchers on efficient use of automation infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or master&rsquo;s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), CKS (Certified Kubernetes Security Specialist), or CNPE (Certified Cloud Native Platform Engineer) are highly valued.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Demonstrated experience developing robust and complex MLOps pipelines.
 </li>
 <li>
 Hands-on experience with API design and deployment.
 </li>
 <li>
 Experience developing robust and portable CI/CD pipelines for reproducible infrastructure and workflow deployment.
 </li>
 <li>
 Experience supporting researchers or working in academic/research computing settings preferred.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills - Essential
 
 
 <ul>
 <li>
 Kubernetes: Strong expertise in Kubernetes, Container Network Interface (CNI), Container Storage Interface (CSI), and Service Mesh.
 </li>
 <li>
 MLOps: Experience developing and maintaining MLOps pipelines and workflows.
 </li>
 <li>
 CI/CD: Proficiency in building CI/CD pipelines for infrastructure and application deployment.
 </li>
 <li>
 Containerization: Experience building secure, OCI-compliant container images.
 </li>
 <li>
 API Development: Experience in API design, development, and deployment.
 </li>
 <li>
 Programming: Proficiency in Python; experience with Go, Bash scripting.
 </li>
 <li>
 Linux: Strong Linux/Unix systems administration skills.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills - Desired
 
 
 <ul>
 <li>
 Experience with ArgoCD, Airflow, DASK, Spark for workflow orchestration.
 </li>
 <li>
 Experience with Kubeflow, KServe, and Seldon for ML serving and pipelines.
 </li>
 <li>
 Experience deploying and maintaining observability stacks (Prometheus, Grafana, NVIDIA DCGM, Grafana Loki).
 </li>
 <li>
 Knowledge of Model Context Protocol (MCP) and agentic frameworks.
 </li>
 <li>
 Experience deploying inference services at scale.
 </li>
 <li>
 Experience deploying and maintaining container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry, Artifact Hub).
 </li>
 <li>
 Experience with GitOps practices and Infrastructure as Code (Terraform, Ansible).
 </li>
 <li>
 Experience with HPC schedulers (SLURM) and HPC-cloud integration.
 </li>
 </ul>
 
 
</div>

AI/ML Support Automation Analyst

Fathom

<div>About the role
We are a pioneering AI company, marking our footprint on the global stage with a presence in Saudi Arabia, Poland, and Norway. As a pre-Series A startup, we are proudly backed by one of the world's leading corporations, underscoring our potential and the innovative spirit driving our mission. Our platform is engineered to address complex business challenges through cutting-edge AI solutions, with a particular emphasis on computer vision technologies. Our ambition is to launch a product that will revolutionize the industry by leveraging advanced computer vision capabilities.
We are looking to hire a passionate Quality Assurance Engineer (Manual) to join our team in Dhahran, Saudi Arabia.
What you'll be doing:<ul><li>
Develop and execute test plans and test cases for web applications to ensure full coverage of functional and non-functional requirements.</li><li>
Perform manual testing of web applications from both the GUI and backend perspectives.</li><li>
Identify, document, and track software defects to resolution using bug tracking tools.</li><li>
Collaborate with cross-functional teams including developers, product managers, and other QA team members to ensure timely delivery of high-quality software.</li><li>
Conduct regression testing to verify software fixes and ensure that no new issues are introduced.</li><li>
Participate in requirement reviews, design discussions, and sprint planning meetings to provide QA perspective and input.</li><li>
Contribute to the improvement of QA processes and methodologies.</li><li>
Stay updated on industry best practices and emerging trends in software testing and quality assurance.</li></ul> 
What you'll need:<ul><li>
Bachelor&rsquo;s degree in computer science, engineering, or related field.</li><li>
Experience in manual testing of web applications.</li><li>
Strong understanding of software QA methodologies, tools, and processes.</li><li>
Proficiency in testing web applications from both the GUI and backend perspectives.</li><li>
Experience with bug tracking tools such as JIRA, Bugzilla, or similar.</li><li>
Excellent analytical and problem-solving skills with a keen attention to detail.</li></ul> 
Nice to have:<ul><li>
Strong communication and collaboration skills with the ability to work effectively in a team environment.</li><li>
Ability to multitask and prioritize workload in a fast-paced environment.</li><li>
Experience with Agile/Scrum methodologies is a plus.</li></ul></div>

Quality Assurance Engineer (Manual)

Red Sea Global

<div>
 
 
 Be the change. Join the world&rsquo;s most visionary developer.
 
 
 
 
 
 
 Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 
 
 
 
 
 We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 
 
 
 
 
 
 Join RSG and be part of the positive change for Saudi Arabia and the world.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 <ul>
 <li>
 Supervise the delivery and operation of data engineering pipelines and platforms by coordinating implementation activities, enforcing data quality and compliance requirements, and ensuring reliable, secure, and timely data availability for analytics and AI use cases.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Supervise the development, execution, and maintenance of data pipelines to ensure consistent ingestion, transformation, and delivery of data in line with approved technical designs and operational requirements.
 </li>
 <li>
 Control compliance with data protection, privacy, and governance requirements by ensuring PDPL-aligned data handling, access controls, logging, and documentation across data engineering activities.
 </li>
 <li>
 Review data pipeline performance, stability, and data integrity, coordinating corrective actions for failures, delays, or quality issues with engineering and platform teams.
 </li>
 <li>
 Optimize data processing workflows, scheduling logic, and storage configurations to improve performance, availability, and cost efficiency within approved cloud environments.
 </li>
 <li>
 Coordinate with data science, analytics, and business teams to translate data requirements into executable pipelines and curated datasets aligned with agreed specifications and service expectations.
 </li>
 <li>
 Plan and oversee implementation of data quality checks, validation rules, and monitoring mechanisms to ensure engineered datasets meet usability and consistency standards.
 </li>
 <li>
 Participate in deployment and operational support of cloud-based data platforms, orchestration tools, and automation frameworks in accordance with approved architectures.
 </li>
 <li>
 Review infrastructure-as-code scripts and deployment pipelines to ensure controlled releases, environment consistency, and minimal disruption to data services.
 </li>
 <li>
 Assist in incident response activities by supporting root-cause analysis, remediation planning, and documentation for data pipeline and platform issues.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 
 Academic Qualifications:
 
 Bachelor&rsquo;s degree in computer science, Data Engineering, or Information Systems, or a related field.
 </li>
 <li>
 
 Years of Experience:
 
 6 years of relevant experience.
 </li>
 <li>
 
 Other Requirements:
 
 AWS Certified Data Analytics, Microsoft Azure Data Engineer Associate, or Google Professional Data Engineer is preferred.
 </li>
 </ul>
 
 
 
 
 
 For more information about Red Sea Global, visit:
 
 
 
 🌐 Website: https://www.redseaglobal.com/en
 
 
 🔗 LinkedIn: https://www.linkedin.com/company/red-sea-global/
 
 
 ▶️YouTube: https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 
 
 🐦 Twitter: @TheRedSeaGlobal
 
</div>

Assistant Manager – Data Engineering

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