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technical enablement lead

Hill International, Inc.

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are seeking a dynamic Technical Enablement Lead to provide technical leadership and drive knowledge transfer across water and wastewater infrastructure projects. The role combines strong engineering and project management expertise with leadership responsibilities to guide multidisciplinary teams in delivering complex projects to the highest standards. The successful candidate will develop and implement knowledge management systems, facilitate training and mentoring programs, and strengthen technical capability across the team. They will also oversee quality assurance processes, ensure compliance with engineering standards, and establish technical governance frameworks to support consistent project delivery. In addition, the role involves engaging with internal and external stakeholders to resolve technical challenges, communicate project updates, and promote effective collaboration across all phases of project execution.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Technical Leadership:
 <br/>
 <br/>
 <ul>
  <li>
   Provide technical leadership and guidance to project teams involved in water and wastewater infrastructure projects.
  </li>
  <li>
   Collaborate with engineers, designers, and other technical specialists to develop innovative solutions and address project challenges.
  </li>
  <li>
   Ensure adherence to engineering standards, specifications, and best practices throughout the project lifecycle.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and implement knowledge management strategies to capture, organize, and disseminate technical expertise, lessons learned, and best practices.
  </li>
  <li>
   Establish repositories, databases, and platforms for storing technical documentation, design guidelines, and project deliverables.
  </li>
  <li>
   Facilitate knowledge-sharing sessions, workshops, and training programs to transfer technical knowledge and skills to project team members.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Capacity Building
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify competency gaps and training needs within the project team and develop tailored learning and development plans to enhance technical capabilities.
  </li>
  <li>
   Mentor junior engineers and guide technical aspects of project execution, including design, construction, and commissioning activities.
  </li>
  <li>
   Facilitate cross-training initiatives to promote interdisciplinary collaboration and knowledge exchange among team members.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Quality Assurance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement quality assurance processes and review mechanisms to ensure the accuracy, completeness, and consistency of technical deliverables.
  </li>
  <li>
   Conduct technical reviews, audits, and assessments to validate compliance with project requirements, specifications, and industry standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Governance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Establish technical governance frameworks, standards, and guidelines to govern the execution of water and wastewater projects.
  </li>
  <li>
   Monitor project performance metrics, key performance indicators (KPIs), and technical benchmarks to track progress and identify areas for improvement.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stakeholder Engagement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Liaise with internal and external stakeholders, including clients, regulatory agencies, and technical partners, to address technical issues, resolve conflicts, and foster collaboration.
  </li>
  <li>
   Communicate technical concepts, project updates, and technical risks to non-technical stakeholders clearly and concisely.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum of 8+ years of experience.
  </li>
  <li>
   Bachelor's Degree in IT or Engineering.
  </li>
  <li>
   Expertise in Project management information systems.
  </li>
  <li>
   Strong Knowledge of Technical related to infrastructure and DB's, network back-group.
  </li>
  <li>
   Experienced in change management and technology enablement.
  </li>
  <li>
   Familiarity with Oracle products for Capital Projects, Procurement and Finance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Hill International, with more than 4,300+ professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked Hill as one of the largest program management firms in the world. For more information on Hill, please visit our website at www.hillintl.com .
 <br/>
 <br/>
 Hill is exclusively a program, project, and construction management provider, meaning we have one focus as a company: protecting client interests. Free of any potential conflicts, our entire business is geared towards helping clients achieve their desired outcomes. We are dedicated to exceeding expectations throughout the entire construction project lifecycle and adapt to the needs of each assignment to develop tailored approaches and solutions to meet those needs.
 <br/>
 <br/>
 Hill is a GISI Consulting Group company, part of the Global Infrastructure Solutions, Inc. (GISI) family of companies. Learn more about GISI Consulting Group at www.gisiconsulting.com .
 <br/>
 <br/>
 <strong>
  Hill International is an Equal Opportunity Employer/Veteran/Disabled
  <br/>
  <br/>
 </strong>
 Note:
 <em>
  This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role mentioned in the job title. Various other duties as required.
 </em>
</div>


Technical Enablement Lead

Hill International

<div><p>We are seeking a dynamic Technical Enablement Lead to provide technical leadership and drive knowledge transfer across water and wastewater infrastructure projects. The role combines strong engineering and project management expertise with leadership responsibilities to guide multidisciplinary teams in delivering complex projects to the highest standards. The successful candidate will develop and implement knowledge management systems, facilitate training and mentoring programs, and strengthen technical capability across the team. They will also oversee quality assurance processes, ensure compliance with engineering standards, and establish technical governance frameworks to support consistent project delivery. In addition, the role involves engaging with internal and external stakeholders to resolve technical challenges, communicate project updates, and promote effective collaboration across all phases of project execution.</p></div>
<br><div><p>Technical Leadership:
</p><ul><li><p>Provide technical leadership and guidance to project teams involved in water and wastewater infrastructure projects.
</p></li><li><p>Collaborate with engineers, designers, and other technical specialists to develop innovative solutions and address project challenges.
</p></li><li><p>Ensure adherence to engineering standards, specifications, and best practices throughout the project lifecycle.
</p></li></ul><p>Knowledge Management:
</p><ul><li><p>Develop and implement knowledge management strategies to capture, organize, and disseminate technical expertise, lessons learned, and best practices.
</p></li><li><p>Establish repositories, databases, and platforms for storing technical documentation, design guidelines, and project deliverables.
</p></li><li><p>Facilitate knowledge-sharing sessions, workshops, and training programs to transfer technical knowledge and skills to project team members.
</p></li></ul><p>Capacity Building:
</p><ul><li><p>Identify competency gaps and training needs within the project team and develop tailored learning and development plans to enhance technical capabilities.
</p></li><li><p>Mentor junior engineers and guide technical aspects of project execution, including design, construction, and commissioning activities.
</p></li><li><p>Facilitate cross-training initiatives to promote interdisciplinary collaboration and knowledge exchange among team members.
</p></li></ul><p>Quality Assurance:
</p><ul><li><p>Implement quality assurance processes and review mechanisms to ensure the accuracy, completeness, and consistency of technical deliverables.
</p></li><li><p>Conduct technical reviews, audits, and assessments to validate compliance with project requirements, specifications, and industry standards.
</p></li></ul><p>Technical Governance:
</p><ul><li><p>Establish technical governance frameworks, standards, and guidelines to govern the execution of water and wastewater projects.
</p></li><li><p>Monitor project performance metrics, key performance indicators (KPIs), and technical benchmarks to track progress and identify areas for improvement.
</p></li></ul><p>Stakeholder Engagement:
</p><ul><li><p>Liaise with internal and external stakeholders, including clients, regulatory agencies, and technical partners, to address technical issues, resolve conflicts, and foster collaboration.
</p></li><li><p>Communicate technical concepts, project updates, and technical risks to non-technical stakeholders clearly and concisely.</p></li></ul></div>
<br><div><ul><li>Minimum of 8+ years of experience.
</li><li>Bachelor's Degree in IT or Engineering.
</li><li>Expertise in Project management information systems.
</li><li>Strong Knowledge of Technical related to infrastructure and DB's, network back-group.
</li><li>Experienced in change management and technology enablement.
</li><li>Familiarity with Oracle products for Capital Projects, Procurement and Finance.</li></ul></div>
<br><div><div>Hill International, with more than 4,300+ professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked Hill as one of the largest program management firms in the world. For more information on Hill, please visit our website at www.hillintl.com .<br>
</div><div></div><br>
<div>Hill is exclusively a program, project, and construction management provider, meaning we have one focus as a company: protecting client interests. Free of any potential conflicts, our entire business is geared towards helping clients achieve their desired outcomes. We are dedicated to exceeding expectations throughout the entire construction project lifecycle and adapt to the needs of each assignment to develop tailored approaches and solutions to meet those needs.<br>
</div><div></div><br>
<div>Hill is a GISI Consulting Group company, part of the Global Infrastructure Solutions, Inc. (GISI) family of companies. Learn more about GISI Consulting Group at www.gisiconsulting.com .<br>
</div><div></div><br>
<p><b>Hill International is an Equal Opportunity Employer/Veteran/Disabled
</b><br>
<br>
Note : <i>This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role mentioned in the job title. Various other duties as required.</i></p></div>

Odyssey Consultants

<div><div><div><div><p><b>Job Location</b></p><div>
 Dammam / Riyadh, KSA</div></div><div><p>
</p></div></div></div><div><div><div><h1 class="jobSectionHeader"><b>
CYBERSECURITY CONSULTANT CLEARSKIES&trade;</b></h1></div><div><p><b>
WE ARE ODYSSEY, looking for Cyber Warriors to join our journey!</b></p><div><p>
Are you someone who thrives in the face of challenges?<br>
Do you have a collaborative spirit, passion for innovation and a commitment to making the world a cyber safer place for all?</p>
<p>
If so, join OUR Odyssey and make it your journey as well, because the beauty and reward lie in the journey and not the destination itself.</p>
</div></div><div><p><b>
ROLE DESCRIPTION</b></p><div><p>
As a Cybersecurity Consultant ClearSkies&trade;, you will be the technical face of the platform throughout the customer journey &mdash; from executive discovery sessions and architecture deep-dives to competitive evaluations and product demonstrations. You will work in close alignment with the ClearSkies Business Development team and channel partners to drive growth in the region, serving as the bridge between customer requirements and ClearSkies' AI-powered TDIR capabilities.</p>
</div></div><div><p><b>
MAIN RESPONSIBILITIES</b></p><div><p><b>
Customer Engagement &amp; Technical Presentations</b></p>
<ul>
<li>Deliver high-impact presentations and technical deep-dives to prospective customers and partners.</li>
<li>Adapt messaging and technical content for both technical and executive-level audiences.</li>
<li>Conduct product demonstrations, technical workshops, and webinars showcasing ClearSkies capabilities and competitive differentiation.</li>
</ul>
<p><b>Presales &amp; Proposal Management</b></p>
<ul>
<li>Lead and contribute to RFI/RFP responses, ensuring technical accuracy and alignment with customer requirements.</li>
<li>Support competitive positioning through business case development, proposal documentation, and competitive battle cards.</li>
<li>Maintain sales process discipline and ensure demo readiness throughout the sales cycle.</li>
</ul>
<p><b>Partner Enablement &amp; Collaboration</b></p>
<ul>
<li>Support partner enablement activities, including technical training sessions and joint engagements with VARs and MSSPs.</li>
<li>Collaborate with internal sales and technical teams to support customer and partner success initiatives.</li>
</ul>
<p><b>Post-Sales Support &amp; Product Feedback</b></p>
<ul>
<li>Provide post-sale transition support to ensure a smooth handover from presales engagement to deployment teams.</li>
<li>Collaborate with the product team to relay customer feedback and contribute to platform innovation and continuous improvement.</li>
</ul></div></div><div><p><b>KNOWLEGDE, SKILLS AND EXPERIENCE REQUIRED</b></p><div><ul>
<li>3+ years in a Presales, Solutions Consulting, or Technical Sales role within the cybersecurity sector.</li>
<li>Familiarity with one or more of the following platforms/services: SIEM, MDR, SOC, TDIR.</li>
<li>Working knowledge of the broader cybersecurity product landscape (Firewall, WAF, Identity Threat Protection).</li>
<li>Familiarity with key security frameworks such as MITRE ATT&amp;CK and ISO 27001.</li>
<li>Proven ability to translate complex technical capabilities into clear, outcome-driven business narratives.</li>
<li>Strong written communication skills, including RFI/RFP response writing.</li>
<li>Fluency in English is mandatory.</li>
</ul>
<p><i>The following will be considered as an advantage:</i></p>
<ul>
<li>Prior experience in a vendor presales role.</li>
<li>Experience engaging with channel partners, MSSPs, and VARs in a presales capacity.</li>
<li>Familiarity with regional cybersecurity regulatory frameworks (NIS2, NCA, SAMA).</li>
</ul></div></div><div><p><b>WHAT&rsquo;S IN IT FOR YOU</b></p><div><ul>
<li>Competitive remuneration package (according to experience and qualifications)</li>
<li>Opportunity to work in a highly specialized, progressive and professional setting</li>
<li>Contemporary working environment, &ldquo;Best Place to Work&rdquo; for 4 consecutive years</li>
<li>Medical Insurance</li>
<li>Referral program - You can recommend the best talents to the company and receive a reward</li>
<li>Performance based awards and bonus</li>
<li>Career development and access to the latest technologies</li>
<li>Mentoring, training &amp; development opportunities</li></ul></div></div></div></div></div><div></div>

CYBERSECURITY CONSULTANT CLEARSKIES™

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>The D360 aka Data Cloud specialist team is an innovative group of sellers and GTM specialists at the heart of Salesforce&rsquo;s newest innovation - D360. We are a startup within an extensive organization focused on next-generation of technology at Salesforce. This dedicated team helps Salesforce customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust. This team is at the center of our GTM strategy connecting the dots between the D360 Product team, Product Marketing, Enablement, Customer Success &amp; Support, and Partners Ecosystem to drive growth for D360. It is a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation.
</p><p></p><p><b>Role Description
</b></p><p>The D360 Technical Architect plays a pivotal role in developing innovative solutions for our customers across a variety of industries. You will work closely with Account Executives, Solutions Engineering, Product, and Product Marketing teams to provide deep technical domain expertise during the pre and post-sale process.
</p><p></p><p>Our D360 customers are only as successful as the value they derive from the platform. You will play a key role in ensuring D360 is the right fit, help them prioritize the most valuable D360 use cases, and provide technical architecture best practices to drive product adoption.
</p><p></p><p>You will collaborate with the broader global D360 team to develop use cases, demos, sales plays, and technical thought leadership. You will also have a meaningful role in driving our Product Roadmap forward and serve as a key advisor to the Product organization sharing innovative ideas and feedback from customers
</p><p></p><p>It is important to have a solid technical grasp of the CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI (Generative and Predictive) landscape and the ability to effectively communicate our offerings to potential clients.
</p><p></p><p><b>Key Responsibilities
</b></p><ul><li><p>Solve Business Problems - Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions.
</p></li><li><p>Drive Innovation &amp; Customer Adoption - Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customers prioritize high-value solutions, driving business impact.
</p></li><li><p>Connect the &ldquo;Art of the Possible&rdquo; - Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce D360 &amp; Salesforce CRM.
</p></li><li><p>Cross Platform Collaboration - You will use your understanding of customers&rsquo; use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI) to develop solutions across the Salesforce's technology stack.
</p></li><li><p>Provide Technical Domain Expertise - Answer in-depth D360 questions related to data governance, security, and other technical capabilities. Create architectural diagrams, write technical thought-leadership pieces (blogs, whitepapers, etc.), documentation, enablement materials to help us stay ahead of industry trends and help our customer&rsquo;s implement best practices with D360.
</p></li></ul><p></p><p><b>Key Requirements
</b></p><ul><li><p>Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms
</p></li><li><p>Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization
</p></li><li><p>Understanding &amp; ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360
</p></li><li><p>Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment
</p></li><li><p>Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products
</p></li><li><p>Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc
</p></li><li><p>Fluency in Arabic &amp; English
</p></li></ul><p></p><p><b>Preferred Requirements
</b></p><ul><li><p>Implementation or Sales Experience in Salesforce D360 and Agentforce
</p></li><li><p>Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud, Marketing Cloud or any Industry Clouds
</p></li><li><p>Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science
</p></li><li><p>Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI.
</p></li><li><p>Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform.
</p></li><li><p>Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc
</p></li><li><p>Familiarity with data activation or &quot;reverse ETL&quot; platforms in the context of Composable Data Platforms (CDP) and integrating various marketing technologies and data tools into a cohesive system.
</p></li><li><p>Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Data & AI Architect - KSA

Fresenius Medical Care

<div></div><div><div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
At <b>Fresenius Medical Care,</b> we are the global leader in kidney care, committed to improving the lives of patients with chronic kidney disease. Our mission is to deliver high-quality, innovative products, services, and care across the entire healthcare journey. Guided by our vision&mdash;<i>&ldquo;Creating a future worth living. For patients. Worldwide. Every day.&rdquo;</i>&mdash;we work with purpose and compassion, supported by a global team of over 125,000 employees.</p><p>
Within our <b>Care Enablement</b> segment, we develop and provide life-sustaining medical products, digital health solutions, and therapies that empower clinical teams and improve patient outcomes. Our<b> FME Reignite</b> strategy drives transformation through innovation, efficiency, and sustainable growth.</p><p>
Our values guide how we work:</p><ul><li><p>
We Care for our patients, each other, and our communities</p></li><li><p>
We Connect across teams and borders to deliver excellence together</p></li><li><p>
We Commit to doing things the right way&mdash; growing with purpose and leading kidney care with integrity and innovation</p></li></ul><p></p><p><b>
Manufacturing &amp; Supply Chain (MSC)</b> plays a vital role in delivering life-saving therapies globally within Care Enablement. With over 35 manufacturing sites and 23 distribution centers, MSC ensures the reliable production and distribution of high-quality devices for hemodialysis, peritoneal dialysis, and acute care&mdash;reaching patients in approximately 150 countries.</p><p></p><p>
The team oversees the full supply chain from manufacturing to delivery, focusing on operational excellence, product availability, and continuous improvement to meet the evolving needs of patients and healthcare providers. Join our passionate team and help shape healthcare worldwide!</p></div></div></div></div></div></div></div></div></div><p></p><p><b>
Role Purpose:
</b></p><p>The position owns demand review processes, supports logistics and inventory planning activities, contributes to supply chain financial management, and drives continuous improvement across planning operations both local and Global</p><p></p><p><b>
Your Responsibilities:</b></p><p></p><p><b>
Demand Planning &amp; Forecast Management</b></p><ul><li>
Lead end-to-end demand planning for the KSA market, ensuring scalability to support increasing sales volumes and market expansion.</li><li>
Continuously improve forecast accuracy and planning transparency</li><li>
Collaborate closely with Commercial, Marketing, Customer Service, Finance, Procurement and Supply Chain teams to understand evolving demand drivers in a highly dynamic market.</li><li>
Facilitate and lead monthly Demand Review meetings</li><li>
Support logistics and supply planning activities to ensure service continuity and inventory health</li><li>
Monitor inventory exposure, slow-moving risks, and service level impacts</li></ul><p></p><p><b>
Financial Planning &amp; Budget Support</b></p><ul><li>
Own Supply Chain budget preparation and conduct monthly financial performance analysis, ensuring alignment between growth, cost control, and profitability.</li><li>
Partner with Finance to support cost control and business planning activities</li><li>
Monitor inventory health (service level, exposure, slow-moving risk) and drive cross-functional mitigation plans to sustain service while supporting market growth.</li></ul><p></p><p><b>
Global &amp; Regional Role</b></p><ul><li>
Act as the single point of accountability for demand and planning-related topics in the KSA market and represent KSA planning performance in Global and regional forums.</li><li>
Contribute and represent KSA SC team in Global and Regional SC projects</li></ul><p></p><p><b>
Your Profile:
</b></p><p></p><ul><li>5/8+ years of experience in demand planning, supply chain management, FI knowledge</li><li>
Bachelor&rsquo;s degree (Economics, Statistics, Supply Chain, Business Admin or related field)</li><li>
Forecasting/Demand Planning in a commercial environment</li><li>
Working cross-functionally and independently</li><li>
Project management</li><li>
Stakeholder management</li><li>
Strong quantitative and analytical skills</li><li>
Understanding of statistics / statistical based demand planning</li><li>
Self-directive, proactive and focused on continuous improvement</li><li>
Excellent interpersonal and influencing skills</li><li>
Able to synthesise complex data and viewpoints into clear insight</li><li>
Able to formulate and facilitate decisions with supporting analysis effectively</li><li>
Quick learner with the ability to handle multiple tasks simultaneously, maintain focus, and adapt to a variety of challenges</li><li>
Ability to conduct detailed procedures in a time constrained environment</li><li>
Strong Knowledge of IBP system</li><li>
Knowledge of SAP in relation to Supply Planning/sales</li><li>
Knowledge of data and analytics platforms</li><li>
Advanced proficiency in Microsoft Office</li><li>
Fluent English and Arabic are must</li></ul><p></p><p><b>
Our Offer For You:</b></p><p></p><p>
There is a lot you can discover at <b>Fresenius Medical Care</b>, regardless in which field you are an expert and how much experience you have - all dedicated to your professional journey.</p><p></p><ul><li><p>
Whether in front of or behind the scenes - you are helping to make ever better medicine available to more and more people around the world</p></li><li><p>
Individual opportunities for self-determined career planning and professional development</p></li><li><p>
A corporate culture in which there is enough room for innovative thinking - to find the best solution together, not the quickest one</p></li><li><p>
A large number of committed people with a wide range of skills, talents and experience</p></li><li><p>
The benefits of a successful global corporation with the collegial culture of a medium-sized company</p></li></ul></div></div>

Demand Planner

<div><b>Company Description</b><p><b><br>
Sia </b>is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, <b>Sia </b>has shown double-digit growth every year since inception.</p><p><b>
Sia </b>is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented &amp; Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.</p><p>
With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.</p><p><b>
Sia </b>is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.</p><p>
Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment.</p><p>
In the Middle East, <b>Sia </b>provides expert advisory services on strategy &amp; execution, innovation, operational performance &amp; cost reduction, cyber &amp; data security, efficient organisation, transformation &amp; change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners&rsquo; world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.</p><p><b>
Why join the Sia Village?</b></p><p>
Excellence | Entrepreneurship | Innovation | Teamwork | Care &amp; Support | Employee Wellbeing</p><p>
These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.</p><b><br>
Job Description</b><p><br>
At Sia, we believe AI is the cornerstone of the new generation. Our consultants' business acumen, combined with the expertise of our Data Scientists and AI products, empowers us to address our clients' business challenges across the data universe. As we expand Data &amp; AI practice, we seek professionals who share our vision and can contribute to our growth.</p><p>
We are looking for individuals with the following experience:</p><p><b>
Lead delivery projects with our clients on a wide range of topics:</b></p><ul><li>
Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.</li><li>
Develop Data &amp; AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.</li><li>
Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).</li><li>
Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.</li><li>
Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.</li><li>
Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.</li><li>
Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.</li><li>
Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.</li><li>
Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.</li><li>
Support organizational adoption and business readiness for Data &amp; AI solutions through stakeholder engagement, training, and operating model enablement.</li><li>
Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia&rsquo;s AI and Data offerings, accelerators, and platforms, including SiaGPT.</li></ul><p><b>
In addition, we are seeking technical experience across all or some of the below:</b></p><ul><li>
Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.</li><li>
Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).</li><li>
Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.</li><li>
Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.</li><li>
Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.</li><li>
Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.</li><li>
Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.</li><li>
Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.</li><li>
Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.</li><li>
Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.</li><li>
Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.</li><li>
Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.</li><li>
Familiarity with Agile delivery methodologies and cross-functional product delivery teams.</li><li>
Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.</li></ul><br>
<b>
Qualifications</b><p><br>
To excel in this role, you should possess:</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.</li><li>
Master&rsquo;s degree in a relevant discipline.</li><li>
4&ndash;10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.</li><li>
Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.</li><li>
Experience working with enterprise and government stakeholders in KSA or the GCC.</li><li>
Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.</li><li>
Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.</li><li>
Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).</li><li>
Fluency in English and Arabic is required.</li><li>
Experience in local networks and aiding in business development, proposal, and RFPs</li><li>
It is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions.</li><li>
Strong relationship management skills, with the ability to build networks and influence stakeholders effectively</li><li>
Exceptional analytical, communication, and interpersonal skills</li><li>
An entrepreneurial mindset with a passion for innovation and problem-solving</li></ul><br>
<b>
Additional Information</b><p><br>
Joining <b>Sia </b>means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care &amp; Support, and Employee Wellbeing, ensuring a fulfilling career path.</p><p>
What a career at Sia offer you?</p><ul><li>
Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers.</li><li>
Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future.</li><li>
Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.</li><li>
Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills.</li></ul><p>
Our Commitment to Diversity</p><p>
At <b>Sia</b>, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.</p><p>
We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients&rsquo; unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood.</p><p>
To learn more about our mission, values, and business sectors, please visit our website.</p><div></div><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

[KSA] Data & AI – Senior Consultant / Associate Manager

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><div><div><p><b>About Us
</b></p></div><div><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 intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high ‑ performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power ‑ efficient platforms that power the next generation of intelligent infrastructure.<br>
</p></div><p></p><div><p><b>About the Role
</b></p></div><div><p>Qualcomm is seeking <b>Machine Learning Applications Engineer </b><b>&ndash; AI </b><b>Inference &amp; Model Optimization </b>to support the enablement of rack-scale deep learning workloads on advanced Qualcomm AI inference accelerator s . These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
</p></div><p></p><div><p>This is a <b>customer </b>‑ <b>facing, highly technical role </b>focused on <b>porting, optimizing, and validating </b><b>deep learning </b><b>AI models </b>on production systems, and enabling Qualcomm&rsquo;s partners to develop and deploy advanced machine learning applications - including computer vision, speech, generative AI and state of the art multimodal reasoning models - using popular frameworks such as PyTorch , TensorFlow, and ONNX on Qualcomm Cloud AI accelerators. Key responsibilities include evaluating models for throughput, latency, and accuracy; profiling and optimizing model performance; building robust application pipelines; integrating customer frameworks; and contributing to documentation, training, and demonstrations.
</p></div><p></p><div><p>The role requires strong expertise in AI models, quantization, performance optimization, and deployment, plus the ability to shape architecture, workload sizing, and system design. It also requires experience with deep learning model development across hardware platforms, solid programming skills, collaboration with cross-functional teams, and proficiency in machine learning frameworks, Linux, and container orchestration tools.
</p></div><p></p><div><p>The ideal candidate can effectively <b>bridge AI model requirements hardware capabilities customer expectations </b>, guiding customers from <b>model selection hardware sizing deployment decisions production readiness.
</b></p></div><p></p><div><p><b>What You&rsquo;ll Do
</b></p></div><div><p><b>A) AI Model Porting &amp; Optimization
</b></p></div><div><ul><li><p>Deploy, optimize and scale deep learning AI models onto accelerator ‑ based data center platforms, including:
</p></li></ul></div><div><ul><li><p>Model conversion workflows
</p></li></ul></div><div><ul><li><p>Quantization techniques (INT8 / mixed precision)
</p></li></ul></div><div><ul><li><p>Runtime integration and optimization
</p></li></ul></div><div><ul><li><p>Integrate ML models onto Qualcomm&rsquo;s Cloud AI ML stack from frameworks such as PyTorch , TensorFlow, and ONNX.
</p></li></ul></div><div><ul><li><p>Drive improvements in <b>model </b><b>throughput </b><b>, </b><b>latency </b><b>, and accuracy </b>, with clear trade ‑ off analysis.
</p></li></ul></div><div><ul><li><p>Build, test, and deploy scalable inference pipelines using serving frameworks such as vLLM , TGI, and Triton.
</p></li></ul></div><div><ul><li><p>Optimize workloads for LLM and GenAI models across both multi-SoC and multi-card architectures.
</p></li></ul></div></div><div><div><ul><li><p>Collaborate with engineering teams to analyze and refine training and inference for advanced deep learning applications.
</p></li></ul></div><div><ul><li><p>Identify bottlenecks across compute, memory, and runtime, and guide optimization strategies.
</p></li></ul></div><div><ul><li><p>Contribute to Qualcomm&rsquo;s Cloud AI GitHub repository and developer documentation, sharing technical best practices and solutions.
</p></li></ul></div><div><ul><li><p>Develop and integrate end-to-end ML application pipelines with customer frameworks and libraries.<br>
</p></li></ul></div><p></p><div><p><b>B) Customer </b>‑ <b>Facing Technical Engagement
</b></p></div><div><ul><li><p>Act as a <b>trusted technical advisor </b>for customers deploying AI workloads.
</p></li></ul></div><div><ul><li><p>Engage in <b>hardware sizing and architecture discussions </b>, aligning model requirements with infrastructure capabilities.
</p></li></ul></div><div><ul><li><p>Provide technical guidance on:
</p></li></ul></div><div><ul><li><p>AI model selection
</p></li></ul></div><div><ul><li><p>Deployment feasibility
</p></li></ul></div><div><ul><li><p>System architecture and performance expectations
</p></li></ul></div><div><ul><li><p>Lead discussions on <b>model capabilities and limitations </b>based on real customer use cases.<br>
</p></li></ul></div><p></p><div><p><b>C) Model&ndash;Infrastructure Alignment
</b></p></div><div><ul><li><p>Assess and evaluate AI model requirements and recommend <b>alternative model approaches </b>when necessary.
</p></li></ul></div><div><ul><li><p>Align model characteristics (latency, throughput, accuracy) with <b>accelerator and system capabilities </b>.
</p></li></ul></div><div><ul><li><p>Connect <b>model requirements </b>with:
</p></li></ul></div><div><ul><li><p>Memory constraints
</p></li></ul></div></div><div><div><ul><li><p>Accelerator architecture
</p></li></ul></div><div><ul><li><p>Scaling limitations
</p></li></ul></div><div><ul><li><p>Support customers in defining <b>model selection strategies based on deployment realities </b>.<br>
</p></li></ul></div><p></p><div><p><b>D) Performance &amp; Scalability Engineering
</b></p></div><div><ul><li><p>Evaluate performance characteristics of AI models in production scenarios, including:
</p></li></ul></div><div><ul><li><p>Throughput expectations
</p></li></ul></div><div><ul><li><p>Latency targets
</p></li></ul></div><div><ul><li><p>Concurrency behavior
</p></li></ul></div><div><ul><li><p>Guide architecture decisions around:
</p></li></ul></div><div><ul><li><p>Scaling strategies (horizontal vs vertical)
</p></li></ul></div><div><ul><li><p>Hardware deployment sizing
</p></li></ul></div><div><ul><li><p>Contribute to discussions on:
</p></li></ul></div><div><ul><li><p>Workload scalability limits
</p></li></ul></div><div><ul><li><p>Impact of model selection on system performance and efficiency
</p></li></ul></div><div><ul><li><p>Provide insights into <b>capacity planning and infrastructure optimization </b>.<br>
</p></li></ul></div><p></p><div><p><b>E) End </b>‑ <b>to </b>‑ <b>End AI Pipeline Design
</b></p></div><div><ul><li><p>Drive discussions around <b>end </b>‑ <b>to </b>‑ <b>end AI pipelines </b>, including:
</p></li></ul></div><div><ul><li><p>Multi ‑ model workflows (e.g., detection + tracking + recognition)
</p></li></ul></div></div><div><div><ul><li><p>Data preprocessing and post ‑ processing stages
</p></li></ul></div><div><ul><li><p>Guide decisions on video and data processing stacks, including:
</p></li></ul></div><div><ul><li><p>Video pipeline choices (e.g., FFMPEG vs GStreamer )
</p></li></ul></div><div><ul><li><p>Integration into inference pipelines
</p></li></ul></div><div><ul><li><p>Ensure pipelines are aligned with:
</p></li></ul></div><div><ul><li><p>Performance requirements
</p></li></ul></div><div><ul><li><p>Hardware capabilities
</p></li></ul></div><div><ul><li><p>Real ‑ time constraints<br>
</p></li></ul></div><p></p><div><p><b>F) Model Trade </b>‑ <b>off Analysis &amp; Validation
</b></p></div><div><ul><li><p>Highlight and explain trade ‑ offs between:
</p></li></ul></div><div><ul><li><p>Accuracy vs compatibility
</p></li></ul></div><div><ul><li><p>Model quality vs deployment feasibility
</p></li></ul></div><div><ul><li><p>Support decision ‑ making on:
</p></li></ul></div><div><ul><li><p>Model simplification vs performance gains
</p></li></ul></div><div><ul><li><p>Precision vs efficiency trade ‑ offs
</p></li></ul></div><div><ul><li><p>Lead or support <b>model capability validation </b>in deployment environments.
</p></li></ul></div><div><ul><li><p>Collaborate with customers to define:
</p></li></ul></div><div><ul><li><p>Inference assumptions
</p></li></ul></div><div><ul><li><p>Model sizing strategies for large ‑ scale workloads<br>
</p></li></ul></div></div><p></p><div><div><p><b>Required Qualifications
</b></p></div><div><ul><li><p>Bachelor&rsquo;s degree in Computer Science , Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
</p></li></ul></div><div><ul><li><p>10&ndash;15+ years of experience in:
</p></li></ul></div><div><ul><li><p>D eep learning model development or deployment experience on CPUs/GPUs/ASICs.
</p></li></ul></div><div><ul><li><p>Inference systems and optimization
</p></li></ul></div><div><ul><li><p>Data center or edge AI platforms
</p></li></ul></div><div><ul><li><p>Strong experience with:
</p></li></ul></div><div><ul><li><p>Model quantization and optimization techniques
</p></li></ul></div><div><ul><li><p>AI model frameworks (e.g., PyTorch , TensorFlow)
</p></li></ul></div><div><ul><li><p>Model deployment pipelines
</p></li></ul></div><div><ul><li><p>Excellent C/C++/Python programming and software design skills, including debugging, and performance analysis.
</p></li></ul></div><div><ul><li><p>Hands on expertise with Linux-based systems, low level software, drivers, and system bring up.
</p></li></ul></div><div><ul><li><p>Proven ability to analyze and optimize model performance in production environments.
</p></li></ul></div><div><ul><li><p>Solid understanding of:
</p></li></ul></div><div><ul><li><p>AI inference hardware constraints
</p></li></ul></div><div><ul><li><p>System level performance bottlenecks
</p></li></ul></div><div><ul><li><p>Strong communication skills and experience in customer facing technical roles.
</p></li></ul></div><div><ul><li><p>Willingness to travel for customer engagements and strategic reviews.<br>
</p></li></ul></div></div><p></p><div><div><p><b>Preferred Qualifications
</b></p></div><div><ul><li><p>Skilled in deploying models on platforms that use hardware accelerators for inference.
</p></li></ul></div><div><ul><li><p>Experienced with managing multi-model workflows and building real-time AI systems, including computer vision, video, and analytics projects.
</p></li></ul></div><div><ul><li><p>Knowledgeable about distributed inference methods and handling large-scale model deployments.
</p></li></ul></div><div><ul><li><p>Proficient in developing and maintaining video processing workflows and using relevant software frameworks.
</p></li></ul></div><div><ul><li><p>Deep understanding of how system-level decisions affect performance in actual deployment environments.
</p></li></ul></div><div><ul><li><p>Capable of simplifying complex technical ideas into straightforward, useful advice for clients.
</p></li></ul></div><div><ul><li><p>Hands-on experience running deep learning models on popular ML frameworks such as PyTorch , TensorFlow, ONNX
</p></li></ul></div><div><ul><li><p>Experience developing software solutions that run in Linux environments with containers and orchestration
</p></li></ul></div><div><ul><li><p>Experience with Source code and configuration management tools, Git knowledge is required.
</p></li></ul></div><div><ul><li><p>Customer-facing experience translating customer requirements into technical solutions (discovery, scoping, success criteria, and execution plans).
</p></li></ul></div><div><ul><li><p>Proven ability to build and deliver technical demos, proofs-of-concept, and reference applications for ML/GenAI workloads.
</p></li></ul></div><div><ul><li><p>Strong technical writing skills to produce customer-ready documentation (getting started guides, deployment runbooks, troubleshooting guides) and deliver partner training sessions.
</p></li></ul></div><div><ul><li><p>Experience driving issue triage and technical escalations with customers, coordinating across product , hardware, and software engineering teams to resolution.
</p></li></ul></div><div><ul><li><p>Excellent stakeholder management and communication skills: present complex technical concepts clearly to both engineering and non-engineering audiences.<br>
</p></li></ul></div></div><p></p><div><p><b>Why Join Qualcomm
</b></p></div><div><p>At Qualcomm, you&rsquo;ll work at the intersection of <b>AI silicon, system architecture, and real </b>‑ <b>world deployment </b>. You will engage directly with strategic customers, influence next ‑ generation AI data center platforms, and help define scalable, power ‑ efficient infrastructure for the AI era. This role provides a unique opportunity to shape both <b>technology direction and customer outcomes </b>, while working with world ‑ class engineering and product teams.
</p><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><ul><li><p>Salary including housing &amp; transport allowance
</p></li><li><p>Stock (RSU's) and performance related bonus
</p></li><li><p>16 weeks fully paid Maternity Leave
</p></li><li><p>6 weeks fully paid Paternity Leave
</p></li><li><p>Employee stock purchase scheme
</p></li><li><p>Child Education Allowance
</p></li><li><p>Relocation and immigration support (if needed)
</p></li><li><p>Life and Medical Insurance
</p></li><li><p>Live+ Well Reimbursement for health and recreational membership fees
</p></li></ul></div><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ 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 5+ years of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
<br>
<br>
<ul><li>3+ years of 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>

ML Application Engineer – AI Inference & Model Optimization (Staff/Senior Staff level) - Riyadh, KSA

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