procurement engineer

architect

civil engineer

civil engineer (saudi national) Jobs in Riyadh

civil engineer (saudi national)

cost control engineer

ai engineer

Globant

<div>At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation. 
 
 
We are seeking a Senior AI Engineer who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized, intelligent digital experiences. 
 
 
<h3 class="jobSectionHeader">1. AI &amp; Agent System Engineering
</h3><ul><li><div>Orchestration: Implement intent classification flows, tool routing logic, multi-step reasoning chains, session memory management, and structured output parsing.
</div></li><li><div>Tool Gateway: Build and maintain the deterministic validation layer checking LLM actions against policy rules before calling live banking APIs.
</div></li><li><div>RAG Pipelines: Optimize document ingestion, chunking/embedding workflows, vector retrieval, and context injection.
</div></li><li>Guardrails &amp; Testing: Implement &quot;Trust Dial&quot; enforcement in code to determine autonomous vs. user-confirmed actions. Build automated agent evaluation tests to catch regressions and hallucination risks.
</li></ul><h3 class="jobSectionHeader">2. Cloud-Native Service Development
</h3><ul><li><div>Scalable Architecture: Build containerized, stateless, horizontally scalable workloads designed to degrade gracefully if upstream banking APIs fail.
</div></li><li><div>Observability: Implement distributed tracing across agent calls and API hops, structured logging for audits, and metric instrumentation for latency/error rates.
</div></li><li><div>LLM Integration: Manage token budgets, streaming response handling, model fallback logic, and API error handling.
</div></li><li>Event-Driven Systems: Build idempotent consumers/producers on the Kafka pipeline with sub-second latency targets.
</li></ul><h3 class="jobSectionHeader">3. Banking API Integration &amp; Performance
</h3><ul><li><div>API Adapters: Build request transformation, authentication, rate limiting, and retry logic connecting the system to bank middleware.
</div></li><li><div>Transaction Safety: Implement security controls, token management, duplicate transaction detection, and rollback/compensation logic for agent actions.
</div></li><li>Performance Optimization: Balance LLM cost efficiency against data freshness via strategic caching , and resolve bottlenecks in reasoning chains or DB queries.
</li></ul><h2 class="jobSectionHeader">Experience &amp; Qualifications
</h2><h3 class="jobSectionHeader">Essential Criteria
</h3><ul><li><div>Software Engineering: 4+ years of professional experience shipping and operating production systems at scale (not internal tools or prototypes).
</div></li><li><div>Languages: Strong proficiency in Python and/or TypeScript with an emphasis on clean, testable code.
</div></li><li><div>Distributed Systems: Solid grasp of concurrency, fault tolerance, and API design (REST/GraphQL) in regulated environments.
</div></li><li><div>Agentic AI Experience: Hands-on experience building/shipping LLM-based systems, RAG components, tool calling mechanisms, and AI safety features (hallucination detection, prompt injection defenses).
</div></li><li><div>Testing Rigor: Experience building automated evaluation pipelines to validate non-deterministic AI behavior.
</div></li><li>Cloud Native: Strong experience with containerized workloads, CI/CD pipelines, and cloud environments (AWS, Azure, or GCP).
</li></ul><h3 class="jobSectionHeader">Desirable Criteria
</h3><ul><li><div>Experience with Kubernetes (EKS, AKS) and Infrastructure-as-Code (Terraform, AWS CDK).
</div></li><li><div>Familiarity with canary deployments, feature flags, and production rollback strategies.
</div></li><li><div>Background in banking API integration, payment rails, and financial transaction safety (idempotency, audit logging).
</div></li><li>Awareness of compliance frameworks like PCI-DSS or SOC 2.
</li></ul>Location: Remote 
 
 
Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively. 
 
 
 
We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package.</div>

AI Engineer, Sr

MASTER-WORKS

<div>Our subsidiary (Nabeh) is seeking an AI Solution, Engineer who combines strong technical knowledge in AI and software engineering with excellent customer-facing and presentation skills. The role will work closely with Sales, Product, and Engineering teams to understand customer requirements, define solution scope, build Proofs of Concept, demonstrate AI products, and translate business needs into practical technical solutions.
Key Responsibilities:<ul><li>
Build and deliver AI Proofs of Concept and technical prototypes.</li><li>
Support Sales during customer meetings, workshops, and product demonstrations.</li><li>
Understand customer requirements and translate them into clear technical and product scopes.</li><li>
Evaluate AI models and technologies based on accuracy, performance, and business needs.</li><li>
Prepare high-level solution architectures, workflows, and technical documentation.</li><li>
Support technical proposals, RFPs, and RFIs.</li><li>
Define POC success criteria, assumptions, limitations, and dependencies.</li><li>
Coordinate with Product and Engineering teams to ensure smooth project handover.</li><li>
Collect customer feedback and recommend product enhancements.</li><li>
Communicate technical capabilities and limitations to technical and non-technical stakeholders.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li><li>
+3 years of experience in AI engineering, software engineering, solution engineering, or technical pre-sales.</li><li>
Strong knowledge of AI, machine learning, Generative AI, and software development.</li><li>
Hands-on experience with Python, APIs, databases, and backend development.</li><li>
Familiarity with LLMs, RAG, computer vision, speech AI, or document intelligence.</li><li>
Ability to build prototypes and integrate AI models into applications.</li><li>
Strong communication, presentation, and problem-solving skills.</li><li>
Ability to translate business requirements into practical technical solutions.</li><li>
Native Arabic speaker is mandatory.</li><li>
Strong professional proficiency in English is required.</li></ul>
Preferred Skills<ul><li>
FastAPI, Flask, or Django</li><li>
PostgreSQL and vector databases</li><li>
Docker and Kubernetes</li><li>
Cloud and on-premises AI deployments</li><li>
AI model serving and GPU infrastructure</li><li>
Product demonstrations and technical proposal writing</li></ul>
Job location: HQ</div>

AI Solution, Engineer

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 
 About Us
 
 
 
 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.
 
 
 
 About The Role
 
 
 
 We are seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.
 
 
 
 We are looking for 8+ years Software Engineering or related work experience
 
 
 
 
 Key Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Improve and optimize key Deep Learning models on Qualcomm AI 100
 </li>
 <li>
 Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
 </li>
 <li>
 Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
 </li>
 <li>
 Build software tools and ecosystem around AI SW Stack.
 </li>
 <li>
 Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
 </li>
 <li>
 Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
 </li>
 <li>
 Optimize the entire deep learning pipeline including graph compiler integration
 </li>
 <li>
 Apply knowledge of software engineering best practices.
 
 
 
 </li>
 </ul>
 
 Desirable Skills And Aptitudes
 
 
 
 
 Required Skills and Aptitude
 
 
 
 <ul>
 <li>
 Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
 </li>
 <li>
 Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
 </li>
 <li>
 Very strong hold on Pytorch and JIT.
 </li>
 <li>
 Well versed with open-source development practices.
 </li>
 <li>
 Ability to work independently, define requirements and scope, and lead a development effort.
 </li>
 <li>
 Mentors and guides team members through influence and example, without direct people‑management responsibility
 </li>
 <li>
 Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
 </li>
 <li>
 Strong developer with a research mindset &ndash; strives to innovate.
 
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experiences to run workloads on large scale heterogeneous clusters is a plus
 </li>
 <li>
 Knowledge of compiler is a plus.
 </li>
 <li>
 Hands-on experience with CUDA, CUDNN is a plus.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
 </li>
 <li>
 8+ years Software Engineering or related work experience.
 </li>
 <li>
 2+ years experience with Programming Language such as C++, Python.
 
 
 
 </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 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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).
 
 
 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>

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About Us
 
 
 
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
 
 
 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.
 
 
 
 
 About The Role
 
 
 
 
 We are seeking a Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This role involves designing, delivering, and supporting end-to-end AI services, agentic workflows, and fine-tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large-scale data center environments.
 
 
 You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
 
 
 
 
 Key Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
 </li>
 <li>
 Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
 </li>
 <li>
 Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
 </li>
 <li>
 LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
 </li>
 <li>
 SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
 </li>
 <li>
 Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
 </li>
 <li>
 Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
 </li>
 <li>
 Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
 </li>
 <li>
 Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
 </li>
 <li>
 Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
 </li>
 <li>
 Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 5+ years of software engineering experience; 3+ years in ML or HPC environments.
 </li>
 <li>
 Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
 </li>
 <li>
 Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
 </li>
 <li>
 Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
 </li>
 <li>
 Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 Experience building inference and fine-tuning pipelines, as well as agentic workflows.
 </li>
 <li>
 Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
 </li>
 <li>
 Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
 </li>
 <li>
 Contributions to inference and GenAI model performance optimization.
 
 
 
 </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 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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).
 
 
 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>

Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 About Us
 
 
 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.
 
 
 
 About The Role
 
 
 
 We are seeking an Inference Accuracy senior engineer to design, develop, and validate model accuracy of deep learning models deployed at scale. The role focuses on deep accuracy analysis, debugging, accuracy evaluation, and recovery during inference on large data-center hardware platforms. This position requires strong problem-solving ability, excellent Python programming skills, and hands-on expertise with inference pipelines.
 
 
 
 Key Responsibilities Include
 
 
 
 <ul>
 <li>
 Define and implement accuracy KPIs across precision modes
 </li>
 <li>
 Develop scalable Python-based accuracy evaluation tools and automated pipelines.
 </li>
 <li>
 Implement accuracy-preserving optimizations for inference frameworks (TensorRT, ONNX Runtime, AITemplate, Triton).
 </li>
 <li>
 Build and maintain automated pipelines for accuracy evaluation across multiple frameworks (ONNX, TensorFlow, PyTorch).
 </li>
 <li>
 Develop reusable plugins for preprocessing, post-processing, and metric evaluation.
 </li>
 <li>
 Execute comprehensive accuracy tests for large-scale models (LLMs, vision, diffusion).
 </li>
 <li>
 Validate accuracy under various quantization and precision settings (FP32, FP16, INT8).
 </li>
 <li>
 Perform accuracy analysis with deep understanding of model architecture, including layers, attention mechanisms, and parameter configurations.
 </li>
 <li>
 Identify architecture-driven accuracy degradation trends and propose optimization strategies.
 </li>
 <li>
 Identify issues related to preprocessing drift, tokenization mismatches, operator fallback, and quantization effects.
 </li>
 <li>
 Analyze accuracy differences across hardware targets, firmware versions, and runtime backends.
 </li>
 <li>
 Perform slice-based accuracy analysis (batch size, concurrency, sequence length, domain shifts).
 </li>
 <li>
 Design and run experiments to recover accuracy, including fine-tuning, calibration, and hyperparameter adjustments.
 </li>
 <li>
 Debug accuracy failures by tracing root causes across data preprocessing, model layers, quantization steps, and deployment pipelines.
 </li>
 <li>
 Compare results across different hardware/software stacks and generate actionable insights.
 </li>
 <li>
 Document workflows, maintain dashboards, and publish accuracy results for stakeholders.
 
 
 
 </li>
 </ul>
 
 Required Skillset
 
 
 
 <ul>
 <li>
 Strong background in AI/ML model evaluation and accuracy metrics.
 </li>
 <li>
 Solid understanding of model architectures (transformers, CNNs, RNNs, MoE) and their impact on accuracy.
 </li>
 <li>
 Experience with large language models (LLMs) and generative AI accuracy validation.
 </li>
 <li>
 Expertise with inference runtimes (TensorRT, ONNX Runtime, Triton).
 </li>
 <li>
 Understanding of quantization (INT8/FP8/INT4), calibration, QAT, and accuracy trade-offs.
 </li>
 <li>
 Experience with model graph conversion (PyTorch &rarr; ONNX &rarr; backend engines).
 </li>
 <li>
 Hands-on experience with accuracy pipeline development and automation frameworks.
 </li>
 <li>
 Proficiency in Python and familiarity with ML toolkits (ONNX Runtime, TensorFlow, PyTorch).
 </li>
 <li>
 Expertise in accuracy analysis, including statistical methods and visualization tools
 </li>
 <li>
 Ability to design experiments for accuracy recovery and debug accuracy failures effectively.
 </li>
 <li>
 Knowledge of quantization techniques and mixed-precision workflows.
 </li>
 <li>
 Strong problem-solving and analytical skills with the ability to isolate complex accuracy issues.
 
 
 
 </li>
 </ul>
 
 Preferred Skillset
 
 
 
 <ul>
 <li>
 Understanding of video generation model accuracy and multi-modal evaluation benchmarking
 </li>
 <li>
 Experience with data-center accelerators (NVIDIA A100/H100/B200, AI100 Ultra, Gaudi, TPU).
 </li>
 <li>
 Knowledge of LLM accuracy evaluation tools (lm-eval, HELM, synthetic benchmarks) is an advantage
 </li>
 <li>
 Familiarity with distributed deployment systems (Kubernetes, cloud inference services).
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's / Masters degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
 </li>
 <li>
 4-10 years of Software Engineering or related work experience.
 </li>
 <li>
 4-10 years of experience with Programming Language such as C,C++, Python.
 
 
 
 </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 Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 <ul>
 <li>
 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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).
 
 
 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>

Model Accuracy Development and Test Engineer, Senior (Datacentre AI Engineering) - Riyadh, KSA

Nameless Ventures

<div>
 
 Looks like your next bAIg move!
 
 
 
 
 
 Get it? AI, Big, BAIg? Ok i'll stop now.
 
 
 
 
 
 We&rsquo;ve partnered with a stealth-mode AI delivery company operating at the heart of some of the most strategic initiatives in Saudi Arabia. They work directly with major enterprises and government-backed entities, embedding engineers on-site to build and deploy real AI systems in production - not just talk about them.
 
 
 
 
 
 They are now looking for Forward Deployed Engineers (FDEs) to join their founding team in KSA!
 
 
 
 
 
 🚀
 
 The Role:
 
 
 
 You&rsquo;ll be embedded directly within client environments, working side-by-side with stakeholders to identify real business problems and build AI-driven solutions from scratch.
 
 
 We&rsquo;re talking:
 
 
 &rarr; LLMs, RAG pipelines, agent-based systems
 
 
 &rarr; Integrations with enterprise platforms (SAP, Oracle, etc.)
 
 
 &rarr; Full ownership from problem &rarr; architecture &rarr; build &rarr; deployment
 
 
 
 
 
 In simple terms: You build it. You ship it. You own it.
 
 
 
 
 
 
 ✅ What You&rsquo;ll Already Have:
 
 
 
 -4+ years of experience in backend / data / software engineering
 
 
 -Python wizard
 
 
 -Exposure to AI / LLMs / data pipelines (RAG, agents, etc.)
 
 
 -Strong communication skills - able to work directly with clients
 
 
 -Comfortable working on-site and traveling across the region
 
 
 -Arabic fluency is the cherry on top
 
 
 
 
 
 
 🎁 Package &amp; Benefits:
 
 
 
 -Competitive Salary!
 
 
 -Housing, transport, and schooling support (Nice, eh?)
 
 
 -High-impact work across some of the region&rsquo;s most important organisations
 
 
 -Opportunity to be part of a founding AI engineering team in KSA
 
 
 
 
 
 Hit that apply button or drop me a message and we&rsquo;ll take it from there 👀
 
</div>

Forward Deployed Engineer

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Software Engineer with Tech &amp; AI at McKinsey, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
 
 
 You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
 
 
 You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
 
 
 As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
 
 
 Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
 
 
 You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
 
 
 McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
 
 
 You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
 
 
 While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
 
 
 Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
 
 
 Changing the world requires us to sit with our clients at times, so some travel is expected in this role.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate or master&rsquo;s degree; or equivalent experience
 </li>
 <li>
 5+ years of experience in software development, with significant full-stack web application development experience strongly preferred
 </li>
 <li>
 Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis
 </li>
 <li>
 Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
 </li>
 <li>
 Experience working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness
 </li>
 </ul>
</div>

Software Engineer II - QuantumBlack, AI by McKinsey

Explore 127+ Ai engineer in Riyadh this July. Find roles across top companies and apply now to boost your career.