business analyst

afc data analyst

ai solution manager

business analysis consultant Jobs in Riyadh

business analysis consultant

data analyst

ai advanced analytic specialist

MASTER-WORKS

<div><p>Master Works is looking for an <b>Agentic AI, Engineer </b>to join our growing team and design, build, and deploy agentic AI systems that can plan, reason, and act. The role covers both single-agent and multi-agent systems, as well as orchestration of workflows involving retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This role is ideal for a strong software engineer with hands-on AI/ML development experience and a passion for transforming generative AI models into reliable, goal-driven systems capable of solving complex, real-world business problems.</p><p></p>
Key Responsibilities:<p></p><ul><li>
Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs using established agentic frameworks or custom-built orchestrators.</li><li>
Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines that ground agent decisions in reliable, real-world data and enable persistent, contextual, and adaptive behavior.</li><li>
Design single-agent and multi-agent workflows, including planning, delegation, tool selection, handoffs, inter-agent communication, and human-in-the-loop controls.</li><li>
Optimize orchestration and reasoning performance while balancing autonomy, latency, cost, interpretability, reliability, and maintainability.</li><li>
Collaborate with Generative AI engineers, application engineers, MLOps engineers, and product teams to move agentic AI solutions from prototype to production.</li><li>
Monitor, evaluate, and benchmark agent performance, and help ensure AI systems are safe, accurate, trustworthy, observable, and capable of delivering a high-quality user experience.</li><li>
Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic to ensure clarity and reproducibility.</li><li>
Stay current with advances in agentic AI, multi-agent orchestration, RAG, model-context protocols, cognitive architectures, evaluation methods, and AI safety mechanisms.</li><li>
Collaborate with cross-functional teams to design and deliver complete AI solutions for customers.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.</li><li>
2+ years of hands-on experience developing agentic AI systems, LLM-powered applications, or advanced Generative AI solutions.</li><li>
Preferably 5+ years of overall professional software engineering experience</li><li>
Contributions to open-source agentic AI frameworks, orchestration platforms, evaluation tooling, or agent communication protocols.</li><li>
Experience building microservices and deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>
Experience with AI safety, guardrails, observability, traceability, evaluation, and explainability for agentic AI systems.</li><li>
Experience deploying LLM or agentic workloads in production using containers, Kubernetes, CI/CD pipelines, and modern MLOps or LLMOps practices.</li></ul><p></p><p><b>
Job Location: </b>HQ</p></div>

Agentic AI, Engineer

Mindstream

<p><b>HIRING &ndash; DATA SCIENTIST </b></p><p><b>Location:</b> Dhahran, Saudi Arabia<br/><b>Experience:</b> 6&ndash;14 Years</p><p><b>Mind Stream</b> is seeking a highly skilled and experienced <b>Data Scientist</b> to join our growing team. The successful candidate will play a key role in developing, productionizing, and scaling advanced <b>AI and Machine Learning solutions</b>, ranging from <b>Agentic AI workflows</b> to <b>Time-Series Forecasting and Anomaly Detection models</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Design and deploy <b>Generative AI (GenAI)</b> solutions using <b>LLMs, RAG, and Vector Databases</b>.</li><li>Build multi-agent AI applications using <b>LangGraph, LangChain, CrewAI, and AutoGen</b>.</li><li>Develop and deploy <b>Time-Series Forecasting and Anomaly Detection</b> models.</li><li>Productionize ML models using <b>Python, FastAPI, MLflow, Docker, and Kubernetes</b>.</li><li>Collaborate on cloud infrastructure for AI/ML model deployment, scaling, and performance optimization.</li><li>Implement and maintain <b>MLOps practices</b> for end-to-end machine learning lifecycle management.</li></ul><p><b>Requirements</b></p><ul><li><b>6&ndash;14 years of professional experience</b> in Data Science, Machine Learning, or a related field.</li><li>Strong programming skills in <b>Python</b> with hands-on experience using <b>FastAPI</b>.</li><li>Experience with <b>GenAI technologies, LLMs, prompt engineering, RAG, and embeddings</b>.</li><li>Familiarity with <b>Agentic AI frameworks and multi-agent workflows</b>.</li><li>Hands-on experience with <b>Docker, Kubernetes, and CI/CD pipelines</b>.</li><li>Knowledge of <b>Cloud Platforms</b> and <b>MLOps practices</b>.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul><p>Application Question(s):</p><ul><li>How many years of professional experience do you have in Data Science, Machine Learning, or Artificial Intelligence?</li><li>How many years of hands-on experience do you have with Python?</li><li>Do you have professional experience developing APIs using FastAPI?</li><li>What is your level of experience with GenAI, LLMs, RAG, prompt engineering, and embeddings?</li><li>Do you have hands-on experience developing multi-agent AI applications or agentic workflows?</li><li>Do you have experience developing Time-Series Forecasting or Anomaly Detection models?</li><li>Do you have hands-on experience with MLflow, Docker, and Kubernetes?</li><li>Do you have experience with CI/CD pipelines and MLOps practices?</li><li>Which cloud platforms have you worked with? (AWS / Azure / GCP / Other)</li><li>Have you productionized and deployed Machine Learning or AI models at scale?</li><li>Are you willing to work full-time in Dhahran, Saudi Arabia?</li><li>What is your notice period or earliest joining date?</li><li>What is your current and expected monthly salary in SAR?</li></ul><p>Work Location: In person</p>

DATA SCIENTIST

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00103940
</div></div><div><div>Career area:
</div><div>Supply Chain
</div></div><div><div>Country/Region:
</div><div>Saudi Arabia
</div></div><div><div>City:
</div><div>Riyadh
</div></div><div><div>Date:
</div><div>Tuesday, August 11, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements<br>
</b></h3></div></div><p></p><div><div><div><div><p>Your next career move starts here - with Lenovo!</p><p>
As a Export Control Specialist, you will ensure that all export, re-export, and transfer activities comply with Saudi Arabian regulations as well as applicable international trade control laws (e.g., U.S. ITAR/EAR, UK Export Control Orders, EU Dual-Use Regulations). The role is critical for maintaining legal compliance, protecting sensitive technologies, and supporting secure international trade operations in the Kingdom.</p><p>
You will lead Lenovo&rsquo;s compliance and export controls program including local export regulatory requirements as well as compliance with U.S. EAR regulations. Proficiency on applicable laws and regulations issued by various government agencies and translate them into business compliance best practices. Involves classification, license application, end user certification, restricted party screening, investigations, and internal audits. Monitor changes in government trade regulations to ensure internal processes, procedures, and system compliance. Liaison with local customs and licensing authority. Maintain compliance controls with Lenovo&rsquo;s &ldquo;Internal Compliance Program&rdquo; and polices.</p><p></p><p><b><br>
You Key Responsibilities:</b></p><ul><li>
Ensure all export transactions comply with Saudi and international export control laws and regulations.</li><li>
Prepare, manage, and maintain export licenses, authorizations, and permits for controlled goods and technologies.</li><li>
Classify items and technologies using ECCN/HS codes and keep accurate export control records.</li><li>
Review commercial invoices, shipping documents, and end-use statements for compliance.</li><li>
Maintain export documentation according to record-keeping requirements.</li><li>
Report and investigate suspected export control breaches, escalating as needed.</li><li>
Conduct due diligence and restricted party screening against relevant sanctions lists.</li><li>
Implement and support internal export control policies, audits, and advise on classification to prevent unauthorized exports.</li></ul><p></p><p><b><br>
Requirements:</b></p><ul><li>
Bachelor&rsquo;s degree in Supply Chain, International Business, Business Administration, Computer Science, Engineering, or Law.</li><li>
4&ndash; 7 years of experience in customs and trade compliance.</li><li>
Strong knowledge of Saudi export/import laws, ZATCA procedures, FASAH customs platform, and international control regimes (ITAR/EAR, UK/EU).</li><li>
Expertise in import/export compliance, customs clearance, HS classification, and duty planning.</li><li>
Experience with sanctions/restricted-party screening and Saudi-specific platforms (FASAH, ZATCA, SASO/SABER).</li><li>
Proficiency in ERP systems (especially SAP trade/customs modules) and Microsoft Office.</li><li>
Skilled in regulatory audits, process improvement (Lean/Six Sigma), and stakeholder management.</li><li>
Fluency in English and Arabic; strong analytical and cross-functional coordination abilities.</li></ul><div></div><div><b><br>
What We can offer You:</b></div><div><ul><li>
An international team with a high focus on Gender Diversity.
</li><li>Employee Assistance Program, e.g., for psychological, legal &amp; financial consultancy
</li><li>You are joining a company that prioritizes sustainable solutions like CO2 Offset, Asset Recovery Services, and the Lenovo Certified Refurbished portfolio.
</li><li>Access to training for personal development - Internal E-learning Development Platform Available for Employees
</li><li>Mentorship program</li></ul></div><br>
<p></p>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div><div><ul><li>Saudi Arabia<br>
</li></ul></div><div></div><div><div><div><br>
<br>
<div><b>AI PROCESSING NOTICE</b></div><div></div><div><br>
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.</div></div></div></div></div></div></div></div>

Export Control Compliance Specialist (Saudi Nationals)

KGIS

<ul><li><b>Location:</b> Riyadh, Saudi Arabia (Onsite) &ndash; Candidates should have to relocate to Saudi</li><li><b>Company:</b> KGiS &ndash; KG Invicta Services.</li><li><b>Experience:</b> 5+ Years</li></ul><p><b>About the Role</b></p><p>KGiS is looking for an experienced <b>Data Analyst / Data Scientist</b> to join our team in Riyadh. If you enjoy working with large datasets, building machine learning models, and delivering data-driven business insights, this is an excellent opportunity to work on impactful projects in a global environment.</p><p><b>Key Responsibilities</b></p><ul><li>Analyze large and complex datasets to identify trends and business insights.</li><li>Develop and implement Machine Learning and statistical models.</li><li>Clean, transform, and prepare data for analysis.</li><li>Build interactive dashboards and reports using Power BI or Tableau.</li><li>Perform exploratory data analysis, predictive analytics, and statistical testing.</li><li>Present insights and recommendations to business stakeholders.</li><li>Monitor model performance and collaborate with data engineering teams.</li><li>Ensure data quality, governance, and security standards.</li></ul><p><b>Required Skills</b></p><ul><li>Strong proficiency in <b>SQL</b> and <b>Python</b>.</li><li>Experience with <b>Machine Learning</b> and statistical modeling.</li><li>Hands-on experience with <b>Big Data technologies</b> such as Spark, Hadoop, or Databricks.</li><li>Experience with <b>Power BI</b> or <b>Tableau</b>.</li><li>Knowledge of <b>Azure Data Factory</b> and ETL concepts.</li><li>Understanding of regression, classification, clustering, and time-series analysis.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.</li><li>5+ years of relevant experience in Data Analytics or Data Science.</li><li>Experience with healthcare data is an added advantage.</li></ul><p><b>Why Join Us?</b></p><ul><li>Opportunity to work on enterprise-scale analytics and AI projects.</li><li>International exposure with an onsite role in Riyadh.</li><li>Competitive salary based on experience.</li><li>Collaborative and innovation-driven work environment.</li></ul><p><b>Interested candidates can share their updated resume for further discussionData Science Specialist</b></p><p>Pay: ﷼8,330.64 - ﷼25,020.19 per month</p><p>Work Location: In person</p>

Data Scientist

Qualcomm

<div>
 <strong>
  Company
  <br/>
  <br/>
 </strong>
 Qualcomm Middle East Information Technology Company LLC
 <br/>
 <br/>
 <strong>
  Job Area
  <br/>
  <br/>
 </strong>
 Engineering Group, Engineering Group &gt; Systems Engineering
 <br/>
 <br/>
 <strong>
  General Summary
  <br/>
  <br/>
 </strong>
 <strong>
  About us
  <br/>
  <br/>
 </strong>
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
 <br/>
 <br/>
 <strong>
  <em>
   We are hiring
  </em>
 </strong>
 <strong>
  <em>
   an AI
  </em>
 </strong>
 <strong>
  <em>
   Performance Engineers
  </em>
 </strong>
 <strong>
  <em>
   at multiple levels to join our dynamic, collaborative team.
   <br/>
   <br/>
  </em>
 </strong>
 This role spans the full product lifecycle&mdash;from cutting-edge research and development to commercial deployment&mdash;and demands strategic thinking, strong execution, and excellent communication skills.
 <br/>
 <br/>
 <strong>
  This Role Involves The Following Activities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Convert, optimize and deploy models for efficient inference using PyTorch, ONNX.
  </li>
  <li>
   Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
  </li>
  <li>
   Performance analysis and optimization of LLM, VLM, and diffusion models for inference.  Scale performance for throughput and latency constraints.
  </li>
  <li>
   Mapping the next generation AI workloads on top of current and future hardware designs.
  </li>
  <li>
   Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
  </li>
  <li>
   Analyze complex performance or stability issues to work towards final root cause of underlying problems.
  </li>
  <li>
   Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time.
  </li>
  <li>
   Design and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Will Demonstrate The Following
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments.
  </li>
  <li>
   Deep understanding of transformer architectures, attention mechanisms and performance trade-offs.
  </li>
  <li>
   Experience in workload mapping strategies exhibiting sharding or various parallelisms.
  </li>
  <li>
   Strong Python programming skills.
  </li>
  <li>
   Proactive learning about the latest inference optimization techniques.
  </li>
  <li>
   Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
  </li>
  <li>
   Strong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment.
  </li>
  <li>
   MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Background in neural network operators and mathematical operations, including linear algebra and math libraries.
  </li>
  <li>
   Understanding of machine learning compilers.
  </li>
  <li>
   Experience in converging accuracy and its evaluation methods.
  </li>
  <li>
   Knowledge of torch.compile or torchDynamo.
  </li>
  <li>
   PhD in Computer Science, Computer Engineering or Machine Learning
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What's On Offer
  <br/>
  <br/>
 </strong>
 Apart from working with great people, we offer the below:
 <br/>
 <br/>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 OR
 <br/>
 <br/>
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 <br/>
 <br/>
 OR
 <br/>
 <br/>
 PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
 <br/>
 <br/>
 <ul>
  <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.
   <br/>
   <br/>
   <br/>
  </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).
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : 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.
 <br/>
 <br/>
 If you would like more information about this role, please contact Qualcomm Careers.
</div>


AI Performance Engineer (Competitive & Network Analysis) - Riyadh, KSA

<div>
 <strong>
  <strong>
   Company:
   <br/>
   <br/>
  </strong>
 </strong>
 Qualcomm Middle East Information Technology Company LLC
 <br/>
 <br/>
 <strong>
  <strong>
   Job Area:
   <br/>
   <br/>
  </strong>
 </strong>
 Engineering Group, Engineering Group &gt; Software Engineering
 <br/>
 <br/>
 <strong>
  <strong>
   General Summary:
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  <strong>
   About The Role
   <br/>
   <br/>
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
 <br/>
 <br/>
 <strong>
  <strong>
   Key Responsibilities Will Include:
   <br/>
   <br/>
  </strong>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Minimum Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Preferred Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What's On Offer
   <br/>
   <br/>
  </strong>
 </strong>
 Apart from working with great people, we offer the below:
 <br/>
 <br/>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Minimum Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 OR
 <br/>
 <br/>
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 <br/>
 <br/>
 OR
 <br/>
 <br/>
 PhD in Engineering, Information Systems, Computer Science, or related field.
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
   <br/>
  </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).
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : 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.
 <br/>
 <br/>
 If you would like more information about this role, please contact Qualcomm Careers.
</div>


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

Accenture

<div><div><p><b>About Accenture</b></p></div><p></p><div><p><br>
Accenture helps the world&rsquo;s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.</p><p></p><p><b>
About the role:
</b></p><div><p>You will be responsible for leading major hyperscale and mission-critical Data Centre programmes, acting as a trusted advisor to clients while driving project delivery excellence.</p></div><div><p>
The successful candidate will bring extensive experience from a PMC, construction consultancy, or client-side environment, with a proven track record of managing large, complex Data Centre developments from strategy through execution.</p></div><div><p>
Alongside programme leadership, you will play a key role in client development, market growth, and identifying new business opportunities across the region.</p></div></div><div><ul><li><p>
Lead the delivery of large-scale Data Centre programmes across the region</p></li></ul></div><div><ul><li><p>
Act as the senior client-facing lead and strategic advisor for key accounts.</p></li></ul></div><div><ul><li><p>
Establish and maintain strong executive-level relationships with developers, hyperscalers, investors, and delivery partners.</p></li></ul></div><div><ul><li><p>
Provide leadership across multidisciplinary teams including project management, project controls, commercial management, planning, risk, and reporting functions.</p></li></ul></div><div><ul><li><p>
Oversee programme governance, reporting, risk management, and stakeholder engagement activities.</p></li></ul></div><div><ul><li><p>
Drive programme performance against cost, schedule, quality, and operational readiness objectives.</p></li></ul></div><div><ul><li><p>
Provide strategic guidance during project planning, procurement, design management, and construction phases.</p></li></ul></div><div><ul><li><p>
Lead internal teams and supply chain partners to deliver consistent, high-quality outcomes.</p></li></ul></div><div><ul><li><p>
Support the development and execution of account plans and regional growth strategies.</p></li></ul></div><div><ul><li><p>
Identify and secure new opportunities within existing and prospective client organisations.</p></li></ul></div><div><ul><li><p>
Support bids, proposals, presentations, and business development initiatives.</p></li></ul></div><div><ul><li><p>
Represent Accenture at industry events, conferences, and client engagements throughout the region.</p></li></ul></div><div><ul><li><p>
Mentor and develop future leaders within the business while fostering a culture of excellence and continuous improvement.</p></li></ul></div></div><p></p>
<br>
<div><div><div><ul><li><p>Experience delivering major capital projects.</p></li></ul></div><div><ul><li><p>
Extensive Data Centre experience, ideally delivering hyperscale or mission-critical facilities.</p></li></ul></div><div><ul><li><p>
Strong background within a Project Management Consultancy (PMC), construction consultancy, or client-side delivery organisation.</p></li></ul></div></div><div><div><ul><li><p>
Proven experience leading complex programmes valued in excess of $500m.</p></li></ul></div><div><ul><li><p>
Experience operating at executive stakeholder level with international clients.</p></li></ul></div><div><ul><li><p>
Demonstrable experience in business development, account management, and client growth activities</p></li></ul></div><div><ul><li><p>
Degree qualified in Construction Management, Engineering, Project Management, Quantity Surveying, or a related discipline.</p></li></ul></div><div><ul><li><p>
Professional membership with a recognised institution (APM, RICS, CIOB, PMI, ICE or equivalent) is highly desirable.</p></li></ul></div><div><ul><li><p>
Experience in the Middle East market is desirable.</p></li></ul><p></p><div><p><b>
Why join us?</b></p></div><div><ul><li><p>
We offer a transparent, fast paced career progression, with a focus on your strengths and continuous coaching from senior colleagues</p></li></ul></div><div><ul><li><p>
You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools</p></li></ul></div><div><ul><li><p>
Flexible work arrangements and a range of benefits including competitive rewards</p></li></ul></div><div><ul><li><p>
You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends</p></li></ul></div><div><ul><li><p>
You will also have opportunities to make a difference to the communities in which we work and live</p></li></ul></div></div></div></div>

Programme / Project Director - Data Centres

Explore 31+ Ai advanced analytic specialist in Riyadh this August. Find roles across top companies and apply now to boost your career.