sales engineer

data analyst

business analyst

back end developer

devops engineer

data engineer

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Contractor
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Remote
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and manage data pipelines to support complex AI agent training initiatives.
  </li>
  <li>
   Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
  </li>
  <li>
   Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
  </li>
  <li>
   Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
  </li>
  <li>
   Contribute to the optimization of AI models through effective data engineering practices.
  </li>
  <li>
   Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
  </li>
  <li>
   Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
  </li>
  <li>
   Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
  </li>
  <li>
   Strong understanding of AI concepts and experience in training AI agents.
  </li>
  <li>
   Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
  </li>
  <li>
   Experience implementing robust data pipelines and scalable architecture for machine learning projects.
  </li>
  <li>
   Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in a related field.
  </li>
  <li>
   Direct experience with AI agent frameworks and real-world deployment projects.
  </li>
  <li>
   Previous work in fast-paced startup or innovation-driven environments.
  </li>
 </ul>
</div>


Data Engineer - Remote

Envision Employment Solutions

<div><p><b>Envision Employment Solutions</b> is currently looking for a <b>Data Engineer (Saudi National) </b>for one of our partners, a global leader in the IT Services and IT Consulting.</p><p></p><p><b>
Job Summary:</b></p><p>
This is a full-time, on-site role for a Data Engineer located in Riyadh. The Data Engineer will be responsible for designing, building, and managing scalable data pipelines, performing data integration, and developing data models for optimization. The role involves building ETL processes, maintaining data warehouses, and collaborating with cross-functional teams to deliver data-driven solutions that support business operations and analytics.</p><b><br>
Requirements</b><br>
<ul><li>
Bachelor's degree in Computer Science, Data Science, or related fields</li><li>
Proficiency in Data Engineering and Data Modeling</li><li>
Experience with Extract, Transform, Load (ETL) processes and Data Warehousing</li><li>
Strong skills in Data Analytics and working with large-scale datasets</li><li>
Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, or Java)</li><li>
Knowledge of cloud platforms and big data tools (e.g., AWS, Azure, Hadoop) is a plus</li><li>
Strong problem-solving abilities and attention to detail</li></ul></div>

Data Engineer (Saudi National)

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Description: Senior Data Engineer (SSIS / Classic Stack)</b></h2><h3 class="jobSectionHeader"><b>
Location:</b><b> Riyadh, KSA</b></h3><h3 class="jobSectionHeader"><b>
Department:</b><b> Data &amp; Analytics</b></h3><h3 class="jobSectionHeader"><b>
Experience:</b><b> 6+ Years</b><br>
<br>
<b>Note : This position is for the candidates who are based in Saudi Arabia Only.</b></h3><h3 class="jobSectionHeader"><br>
<b>
Job Summary</b></h3><p>
We are seeking a highly skilled <b>Senior Data Engineer</b> with strong expertise in the classic data stack, particularly <b>SQL Server and SSIS</b>. The role involves designing, building, and maintaining scalable data pipelines, robust data models, and data marts.</p><p>
The ideal candidate will play a key role in developing a structured semantic layer, ensuring high-quality, consistent, and accessible data to support analytics and business intelligence initiatives.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
1. Data Modeling</b></h4><ul><li>
Design and maintain scalable and high-performance data models</li><li>
Develop data marts aligned with business requirements</li><li>
Apply best practices in data warehousing (Data Vault knowledge is a plus)</li></ul><h4 class="jobSectionHeader"><b>
2. Semantic Layer Development</b></h4><ul><li>
Build and maintain a semantic layer with clear definitions, hierarchies, and data structures</li><li>
Ensure consistency and usability of data across reporting and analytics platforms</li></ul><h4 class="jobSectionHeader"><b>
3. Data Pipeline Development (ETL)</b></h4><ul><li>
Develop and manage ETL pipelines using <b>SSIS and SQL Server</b></li><li>
Automate data extraction, transformation, and loading processes</li><li>
Ensure reliability and availability of data across systems</li></ul><h4 class="jobSectionHeader"><b>
4. Data Quality &amp; Governance</b></h4><ul><li>
Ensure accuracy, completeness, and consistency of data from source systems</li><li>
Implement validation and monitoring mechanisms</li></ul><h4 class="jobSectionHeader"><b>
5. Stakeholder Collaboration</b></h4><ul><li>
Work closely with business teams, analysts, and data scientists</li><li>
Translate business requirements into scalable data solutions</li></ul><h4 class="jobSectionHeader"><b>
6. Documentation &amp; Standards</b></h4><ul><li>
Maintain comprehensive documentation for data models, ETL processes, and workflows</li><li>
Promote best practices in data engineering and governance</li></ul><h4 class="jobSectionHeader"><b>
7. Mentorship</b></h4><ul><li>
Provide technical guidance and mentorship to junior team members</li><li>
Encourage adoption of best practices in ETL and data modeling</li></ul><h3 class="jobSectionHeader"><br>
<b>
Technical Skills &amp; Requirements</b></h3><ul><li>
Strong experience with <b>Microsoft SQL Server</b></li><li>
Expertise in <b>SSIS (SQL Server Integration Services)</b></li><li>
Proficiency in:<ul><li>
Stored Procedures, Functions, Views, Triggers</li><li>
ETL design and development</li><li>
Data transformation and migration across systems</li></ul></li><li>
Experience in:<ul><li>
Performance tuning (query optimization, staging, parallel processing)</li><li>
Debugging and optimizing ETL workflows</li><li>
Database design, indexing, and security</li></ul></li></ul><h3 class="jobSectionHeader"><br>
<b>
Qualifications</b></h3><ul><li>
Bachelor&rsquo;s degree in Computer Science, IT, or a related field</li></ul><h3 class="jobSectionHeader"><br>
<b>
Experience</b></h3><ul><li>
Minimum 6<b>+ years</b> of experience in:<ul><li>
Data engineering</li><li>
Data warehousing</li><li>
ETL development using SSIS</li></ul></li></ul><h3 class="jobSectionHeader"><br>
<b>
Preferred Skills (Nice to Have)</b></h3><ul><li>
Experience with <b>Data Vault modeling</b></li><li>
Exposure to modern data platforms or cloud environments</li><li>
Understanding of data governance and data quality frameworks</li></ul><p>
</p><p>c7ZS8glfnT</p></div>

Senior Data Engineer (SSIS)

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a detail-oriented and analytical <b>Data Analytics Engineer</b> with <b>3+ years of experience</b> in data analysis, reporting, and dashboard development. The ideal candidate should have strong hands-on experience in <b>Power BI</b>, data modeling, SQL, and transforming raw data into meaningful business insights to support decision-making.</div><div></div><p><b><br>
Key Responsibilities:</b></p><br>
<ul><li>
Develop, maintain, and optimize <b>interactive dashboards and reports in Power BI</b>.<br>
</li><li>
Gather, analyze, and interpret data from multiple sources to provide actionable insights.<br>
</li><li>
Design and implement <b>data models, DAX measures, and calculated fields</b> in Power BI.<br>
</li><li>
Create <b>ETL / data transformation workflows</b> using Power Query and SQL.<br>
</li><li>
Work closely with business stakeholders to understand reporting requirements and translate them into dashboards.<br>
</li><li>
Ensure data accuracy, consistency, and integrity across reports and systems.<br>
</li><li>
Monitor report performance and improve dashboard usability and visualization standards.<br>
</li><li>
Support ad hoc data analysis requests and generate periodic MIS reports.<br>
</li><li>
Collaborate with cross-functional teams including IT, business, and operations teams.</li></ul><p><b><br>
</b><br>
</p><div></div><br>
<br>
<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
3+ years of experience in <b>Data Analytics / BI Engineering / Reporting</b><br>
</li><li>
Strong expertise in <b>Power BI (Dashboards, DAX, Power Query, Data Modeling)</b><br>
</li><li>
Good experience in <b>SQL queries, joins, stored procedures, and data extraction</b><br>
</li><li>
Knowledge of <b>Excel (advanced formulas, pivot tables, data analysis)</b><br>
</li><li>
Understanding of <b>ETL processes and data warehousing concepts</b><br>
</li><li>
Strong analytical and problem-solving skills<br>
</li><li>
Good communication and stakeholder management skills</li></ul><p><b><br>
Preferred Skills:</b></p><br>
<ul><li>
Experience with <b>Python / Excel VBA / Tableau</b> is an added advantage<br>
</li><li>
Exposure to <b>Azure / cloud-based data platforms</b> preferred<br>
</li><li>
Knowledge of KPI reporting and business intelligence best practices</li></ul></div></div></div><p></p>

Data Analytics Engineer

DeepSource Technologies

<div><p>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.</p><p></p><p>
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.</p><p></p><p>
Key Responsibilities</p><ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function.<br>
</li></ul><br>
<br>
<p></p><b>Requirements</b><ul><li><br>
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div><p></p>

Senior Ai Engineer - Riyadh,KSA

MA'ADEN

<div><p><b>Job Purpose
</b></p><p>The Principal Specialist, Engineering and ETL (OT) provides enterprise leadership for OT data engineering, enabling reliable ingestion, transformation, and availability of operational data for analytics, operations, and performance management. The role defines OT pipeline standards and assures that OT data is delivered with quality, lineage, security, and appropriate latency across sites.
</p><p>This position is responsible for defining scalable patterns for integrating historians and industrial systems into enterprise platforms, guiding teams through complex OT constraints, and ensuring operational data products are sustainable and governed.
 </p><p><b>Key Accountabilities
</b></p><div><ul><li>Define OT data engineering and ETL standards, patterns, and reference architectures covering batch, streaming, and near-real-time ingestion needs.
</li></ul><ul><li>Establish ingestion patterns for historians and OT source systems, including normalization, unit standardization, quality flags, and tag mapping processes.
</li></ul><ul><li>Design and assure robust pipeline reliability (idempotency, backfill, late-arriving data handling, reconciliation, alerting) appropriate for OT contexts.
</li></ul><ul><li>Ensure OT pipelines comply with security and segmentation requirements; partner with OT cyber and platform security teams for governance-by-design.
</li></ul><ul><li>Oversee and guide OT data transformation logic to produce curated OT data products aligned to enterprise models and governance requirements.
</li></ul><ul><li>Provide architectural oversight for site onboarding, handling variability across plants and ensuring consistent delivery standards across implementations.
</li></ul><ul><li>Review and assure vendor and internal deliverables; provide technical direction and quality gates for complex OT engineering initiatives.
</li></ul>Drive continuous improvement through performance tuning, cost optimization, observability, and operational resilience improvements for OT workloads.<br>
<ul><li>
</li></ul></div><p></p><p><b>Minimum Qualification, Experience and Competencies
</b></p><p><b>Minimum Qualification
</b></p><ul><li><p>Bachelor&rsquo;s degree in Computer Science/Engineering, Data Engineering, Industrial Engineering, or related field.
</p></li><li><p>Master&rsquo;s degree preferred; OT systems exposure is an advantage.<br>
</p></li></ul><p></p><p><b>Minimum Experience
</b></p><ul><li>10&ndash;15 years of experience in data engineering/ETL with demonstrated exposure to OT/industrial data environments.
</li><li>Experience designing ingestion from historians/OT systems and delivering analytics-ready OT datasets at enterprise scale.
</li></ul><p><b>Skills:
</b></p><ul><li>Strong OT data engineering expertise including ingestion from historians, handling time-series characteristics, and ensuring data quality.
</li><li>Ability to design scalable, secure OT-to-IT data pipelines with governance, lineage, and auditability.
</li><li>Advanced pipeline engineering practices (reliability, observability, orchestration, performance tuning).
</li><li>Stakeholder leadership across plant operations, OT engineering, IT, and analytics consumers.
</li><li>Vendor assurance and technical governance for complex multi-site delivery programs.</li></ul></div>

Principal Specialist, Engineering and ETL (OT)

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><p>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.
</p><p></p><p>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
</p><p>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.
</p><p></p><p><b>About the Role
</b></p><p>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.
</p><p>You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
</p><p></p><p><b>Key Responsibilities will include:
</b></p><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><p></p><p><b>Minimum Qualifications
</b></p><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><p></p><p><b>Preferred Qualifications
</b></p><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><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><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><p></p><p><b>Minimum Qualifications:
</b></p><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
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
<br>
OR
<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></ul><p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

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

Explore 926+ Data engineer in Riyadh this April. Find roles across top companies and apply now to boost your career.