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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

IntelliSense.io

<div>
 
 Mining Technology Engineer (Metallurgist)
 
 
 
 
 Join IntelliSense.io as a Mining Technology Engineer!
 
 
 
 Shape the Future of Mining with IntelliSense.io
 
 
 Are you a plant-based metallurgist who thrives on improving recovery, stabilising circuits, and turning data into operational performance?
 
 
 IntelliSense.io is seeking a talented and motivated
 
 Mining Technology Engineer (Metallurgist)
 
 to support our expansion into the Kingdom of Saudi Arabia as one of our first technical hires in the region.
 
 
 We are pioneers in Objective AI (ODAI), integrating fundamental physics with AI to characterise the physical world and deliver
 
 high-value decision recommendations
 
 acting as the brains of the operation. Our technology delivers recommendations to humans as their role-specific
 
 co-pilots
 
 augment human intelligence or direct to the execution systems (machines) making operations
 
 autonomous
 
 .
 
 
 With a global, remote-first workforce and regional hubs in the UK, Australia, Chile, and Ireland, we are now expanding our presence in the Middle East, particularly in Saudi Arabia, a global leader in mining development under
 
 Vision 2030
 
 .
 
 
 Your Responsibilities
 
 
 <ul>
 <li>
 Lead the implementation of AI-driven optimisation solutions within mineral processing plants across Saudi Arabia.
 </li>
 <li>
 Work closely with site metallurgists, plant managers, and operations teams to identify performance improvement opportunities.
 </li>
 <li>
 Analyse plant data to diagnose variability, recovery losses, bottlenecks, and constraint limitations.
 </li>
 <li>
 Support optimisation of crushing, grinding, flotation, leaching, thickening, and other processing circuits (commodity dependent).
 </li>
 <li>
 Translate metallurgical testwork and operational insights into digital models and performance improvement strategies.
 </li>
 <li>
 Help configure and calibrate AI models to reflect real plant behaviour and metallurgical constraints.
 </li>
 <li>
 Monitor and validate performance improvements in throughput, recovery, reagent consumption, and stability.
 </li>
 <li>
 Provide training and ongoing technical support to site teams to ensure adoption and sustained value.
 </li>
 <li>
 Act as the technical bridge between plant operations and IntelliSense.io&rsquo;s engineering and product teams.
 </li>
 <li>
 Support business growth through client engagement, technical credibility, and solution expansion.
 
 
 
 </li>
 </ul>
 What You Bring
 
 
 <li>
 A degree in Metallurgy, Mineral Processing, Chemical Engineering, or a related discipline.
 </li>
 <li>
 3+ years of hands-on plant metallurgical experience in a mining operation.
 </li>
 <li>
 Strong understanding of:
 </li>
 <ul>
 <li>
 Plant mass balancing and reconciliation
 </li>
 <li>
 Recovery optimisation and circuit stability
 </li>
 <li>
 Metallurgical accounting
 </li>
 <li>
 Process control fundamentals
 </li>
 <li>
 Sources of variability in mineral processing operations
 </li>
 <li>
 Experience working with plant engineers, control systems, or operational data platforms.
 </li>
 <li>
 Practical knowledge of flotation, leaching, or other plant circuits.
 </li>
 <li>
 Ability to interpret operational data and translate it into actionable improvements.
 </li>
 <li>
 Strong analytical and problem-solving capabilities.
 </li>
 <li>
 Excellent communication skills and the ability to engage cross-functional teams.
 </li>
 <li>
 Fluency in English and Arabic is essential.
 </li>
 <li>
 Willingness to travel regularly to mining sites across Saudi Arabia and internationally. A valid driving licence is required.
 </li>
 <li>
 Openness to travel to the United Kingdom for onboarding and training.
 
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Competitive salary and benefits package in line with local market standards
 </li>
 <li>
 Remote-first and flexible working model
 </li>
 <li>
 Generous paid time off (annual leave and public holidays per Saudi Labour Law)
 </li>
 <li>
 Paid parental and sick leave
 </li>
 <li>
 A chance to be part of Saudi Arabia&rsquo;s mining transformation and contribute to Vision 2030
 </li>
 <li>
 A fast-paced, supportive international environment with significant career growth opportunities
 </li>
 <li>
 A chance to be one of the first employees in the Middle East region, supporting and helping to shape a fast growing industrial AI business
 
 
 
 </li>
 </ul>
 Be Part of the Future
 
 
 If you're excited about the intersection of AI, mining, and industrial innovation, we&rsquo;d love to hear from you.
 
 
 
 Note:
 
 This role is open to Saudi nationals and expatriates with the legal right to work in the Kingdom. IntelliSense.io is an equal opportunity employer and values diversity in our teams.
</div>

Metallurgist (KSA)

Perle

<div>
 
 About Perle
 
 
 
 Perle powers the most ambitious AI initiatives in the world with human intelligence at scale. We work with the world&rsquo;s leading model builders and enterprises to deliver expert-in-the-loop data, model evaluation, and trust systems that make AI safe, responsible, efficient and exceptionally high-performing.
 
 
 Our clients don&rsquo;t buy software, they buy outcomes: accuracy, reliability, and defensibility.
 
 
 We&rsquo;re an early-stage, founder-led company operating in the highest-stakes markets of AI. Every hire defines how we win.
 
 
 
 
 The Opportunity
 
 
 
 
 <ul>
 <li>
 Seeking a PMC Process Engineer with strong detailed process engineering and execution-phase experience for Oil &amp; Gas facilities. Candidate must have either US, UK or Australian citizenship. Relocation can be accommodated.
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review PFDs, P&amp;IDs, process calculations, and design bases.
 </li>
 <li>
 Ensure compliance with API, ASME, ISO, and client standards.
 </li>
 <li>
 Support commissioning, start-up, and operational readiness.
 </li>
 <li>
 Participate in HAZOP, HAZID, and safety reviews.
 </li>
 <li>
 Guide contractor process engineers and manage technical queries.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 10+ years process engineering experience.
 </li>
 <li>
 Strong background in upstream/downstream Oil &amp; Gas projects.
 </li>
 <li>
 Minimum 5 years Oil &amp; Gas experience in GCC.
 </li>
 </ul>
</div>

PMC Process Engineer (Detailed Engineering & Execution)

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)

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