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ai engineer

Carnegie Mellon University

<div>
 We are hiring AI Engineer in our Qatar campus.
 <br/>
 <br/>
 The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus&rsquo; academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  AI Development, Support &amp; Deployment (50%)
  <br/>
  <br/>
 </strong>
 Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.
 <br/>
 <br/>
 Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.
 <br/>
 <br/>
 Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.
 <br/>
 <br/>
 Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.
 <br/>
 <br/>
 Leverage experience with AI/ML solutions in
 <strong>
  Azure, AWS, or Google Cloud environments
 </strong>
 to support scalable deployments.
 <br/>
 <br/>
 Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines
 <br/>
 <br/>
 <strong>
  Training, Stakeholder Engagement &amp; Documentation (30%)
  <br/>
  <br/>
 </strong>
 Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.
 <br/>
 <br/>
 Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.
 <br/>
 <br/>
 Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.
 <br/>
 <br/>
 <strong>
  Research, Innovation &amp; Technology Evaluation (10%)
  <br/>
  <br/>
 </strong>
 Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.
 <br/>
 <br/>
 Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.
 <br/>
 <br/>
 Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.
 <br/>
 <br/>
 <strong>
  Collaboration (10%)
  <br/>
  <br/>
 </strong>
 Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.
 <br/>
 <br/>
 Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university&rsquo;s main campus.
 <br/>
 <br/>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Education:
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field is required.
 <br/>
 <br/>
 Master&rsquo;s degree preferred.
 <br/>
 <br/>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 3&ndash;5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.
 <br/>
 <br/>
 Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.
 <br/>
 <br/>
 Experience deploying AI/ML solutions in
 <strong>
  Azure, AWS, or Google Cloud environments
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Skills &amp; Competencies:
  <br/>
  <br/>
 </strong>
 Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.
 <br/>
 <br/>
 Excellent presentation, documentation, and training facilitation skills.
 <br/>
 <br/>
 <strong>
  Joining the CMU team opens the door to an array of exceptional benefits.
  <br/>
  <br/>
 </strong>
 <strong>
  Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
  <br/>
  <br/>
 </strong>
 <strong>
  Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
  <br/>
  <br/>
 </strong>
 <strong>
  For a comprehensive overview of the benefits available, explore our Benefits page.
  <br/>
  <br/>
 </strong>
 <strong>
  At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it&rsquo;s about finding the perfect fit for your professional growth and personal aspirations.
  <br/>
  <br/>
 </strong>
 <strong>
  Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
  <br/>
  <br/>
 </strong>
 <strong>
  Location
  <br/>
  <br/>
 </strong>
 Doha, Qatar
 <br/>
 <br/>
 <strong>
  Job Function
  <br/>
  <br/>
 </strong>
 Software/Applications Development/Engineering
 <br/>
 <br/>
 <strong>
  Position Type
  <br/>
  <br/>
 </strong>
 Staff &ndash; Fixed Term (Fixed Term)
 <br/>
 <br/>
 <strong>
  Full Time/Part time
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Pay Basis
  <br/>
  <br/>
 </strong>
 <strong>
  More Information:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Please visit &ldquo;Why Carnegie Mellon&rdquo; to learn more about becoming part of an institution inspiring innovations that change the world.
  </li>
  <li>
   Click here to view a listing of employee benefits
  </li>
  <li>
   Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  </li>
  <li>
   Statement of Assurance
  </li>
 </ul>
</div>


AI Engineer

<div></div><div><div>We are hiring AI Engineer in our Qatar campus.</div><div>
The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus&rsquo; academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.</div><div></div><div>
 Key Responsibilities</div><div></div><div>
 AI Development, Support &amp; Deployment (50%)</div><div>
Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.</div><div>
Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.</div><div>
Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.</div><div>
Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.</div><div>
Leverage experience with AI/ML solutions in Azure, AWS, or Google Cloud environments to support scalable deployments.</div><div>
Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines</div><div></div><div>
 Training, Stakeholder Engagement &amp; Documentation (30%)</div><div>
Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.</div><div>
Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.</div><div>
Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.</div><div></div><div>
 Research, Innovation &amp; Technology Evaluation (10%)</div><div>
Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.</div><div>
Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.</div><div>
Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.</div><div>
Collaboration (10%)</div><div>
Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.</div><div>
Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university&rsquo;s main campus.</div><div></div><div>
Minimum Qualifications</div><div>
Education:</div><div>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field is required.</div><div>
Master&rsquo;s degree preferred.</div><div>
Experience:</div><div>
3&ndash;5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.</div><div>
Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.</div><div>
Experience deploying AI/ML solutions in Azure, AWS, or Google Cloud environments.</div><div>
Skills &amp; Competencies:</div><div>
Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.</div><div>
Excellent presentation, documentation, and training facilitation skills.</div><div></div><div>
Joining the CMU team opens the door to an array of exceptional benefits.</div><div></div><div><div>
Benefits eligible</div> employees enjoy a wide array of benefits including <div>comprehensive medical, prescription, dental, and vision insurance</div> as well as a generous <div>retirement savings program</div> with employer contributions. Unlock your potential with <div>tuition benefits</div>, take well-deserved breaks with ample <div>paid time off</div> and observed <div>holidays</div>, and rest easy with life and accidental death and disability insurance.</div><div></div><div>
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our <div>Family Concierge Team</div> to help navigate childcare needs, <div>fitness center access</div>, and much more!</div><div></div><div>
For a comprehensive overview of the benefits available, explore our <div>Benefits page</div>.</div><div></div><div>
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it&rsquo;s about finding the perfect fit for your professional growth and personal aspirations.</div><div></div><div>
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!</div><div></div><div>
Location</div>
Doha, Qatar<div>
Job Function</div>
Software/Applications Development/Engineering<div>
Position Type</div>
Staff &ndash; Fixed Term (Fixed Term)<div>
Full Time/Part time</div>
Full time<div>
Pay Basis</div><div>
More Information:</div><div><div><div><div><ul><li><div>
Please visit &ldquo;<div>Why Carnegie Mellon</div>&rdquo; to learn more about becoming part of an institution inspiring innovations that change the world.</div></li><div></div><li><div><br>
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.</div></li></ul></div></div></div></div></div><div></div>

Swan Global WLL

<p>Hiring <b>Machine Learning Engineer/Sr. Data Scientist</b></p><p>Contract type:- Long term</p><p>Salary:- TBD</p><p>Duty hrs:- 8 hrs/ 5 days</p><p><b>Skills - Required:</b></p><p>&#9679; Knowledge of statistical modelling and popular machine learning models.</p><p>&#9679; Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.</p><p>&#9679; Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.</p><p>&#9679; Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.</p><p>&#9679; NLP: Vector Space modeling in NLP, LSTMS, Sequence modeling, Attention modeling, BERT, Transformers. Using the above-mentioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis</p><p>&#9679; Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.</p><p>&#9679; Feature engineering, Feature selection/Feature importance, Dimensionality</p><p>&#9679; Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking</p><p>Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.</p><p>&#9679; Critical eye for the quality of data and strong desire to get it right.</p><p>&#9679; A pleasantly forceful personality and charismatic communication style.</p><p>Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.</p><p>&#9679; Experience in GCP based ML solutions and services like Contact Center AI, Vertex AI, Document AI, Speech-to-Text, Text-to-Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.</p><p>Job Type: Contract<br/>Contract length: 6 months</p><p>Application Question(s):</p><ul><li>Are you under freelance visa?</li></ul><p>Language:</p><ul><li>Arabic (Required)</li></ul>

Machine Learning Engineer/ Sr. Data Scientist

Scale AI

<div>
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 <br/>
 <br/>
 <ul>
  <li>
   Creating custom AI applications that will impact millions of citizens
  </li>
  <li>
   Generating high-quality training data for national LLMs
  </li>
  <li>
   Upskilling and advisory services to spread the impact of AI
   <br/>
   <br/>
  </li>
 </ul>
 We are hiring a Machine Learning Engineer Manager who will manage a team of high-calibre MLEs who design, train, deploy, and evaluate computer vision and/or LLMs to power custom applications we build for our public sector clients. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products.
 <br/>
 <br/>
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 You will:
 <br/>
 <br/>
 <ul>
  <li>
   Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
  </li>
  <li>
   Manage a team of ML Engineers
  </li>
  <li>
   Work with product and research teams to identify opportunities for ongoing and upcoming services.
  </li>
  <li>
   Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
  </li>
  <li>
   Create state of the art techniques to integrate tool-calling into production-serving LLMs.
  </li>
  <li>
   Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally you&rsquo;d have:
 <br/>
 <br/>
 <ul>
  <li>
   At least 5 years of model training, deployment and maintenance experience in a production environment
  </li>
  <li>
   At least 5+ years of management or tech leadership experience
  </li>
  <li>
   Strong skills in NLP, LLMs and deep learning
  </li>
  <li>
   Solid background in algorithms, data structures, and object-oriented programming
  </li>
  <li>
   Experience working with a cloud technology stack (eg. AWS, GCP, or Azure) and developing machine learning models in a cloud environment
  </li>
  <li>
   Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
  </li>
  <li>
   Strong written and verbal communication skills to operate in a cross functional team environment
   <br/>
   <br/>
  </li>
 </ul>
 Nice to haves:
 <br/>
 <br/>
 <ul>
  <li>
   Experience in dealing with large scale AI problems, ideally in the generative-AI field
  </li>
  <li>
   Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
  </li>
  <li>
   Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
  </li>
  <li>
   Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
  </li>
  <li>
   Fluent in Arabic
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
  <br/>
  <br/>
 </em>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 <em>
  At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
  <br/>
  <br/>
 </em>
 <em>
  We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  <br/>
  <br/>
 </em>
 <em>
  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
  <br/>
  <br/>
 </em>
 <em>
  We comply with the United States Department of Labor's
 </em>
 <em>
  Pay Transparency provision
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 </em>
</div>


Machine Learning Engineering Manager, International Public Sector

Nutanix

<div><p><b>Hungry, Humble, Honest, with Heart.</b></p><p><b>
The Opportunity</b></p><p>
Are you a seasoned systems engineer with a strong background in virtualization and cloud technology, exceptional pre-sales experience, and the ability to build lasting relationships with customers? If so, you&rsquo;ll thrive in our dynamic and collaborative team at Nutanix, where you can leverage your expertise to drive customer success and be part of innovative projects that shape the future of technology in Qatar.</p><p></p><p><b><br>
About the Team</b></p><p>
The Systems Engineer will join the Systems Engineering (SE) team at Nutanix. The team is characterized by a collaborative culture. The mission of the team is to deliver exceptional technical expertise and customer service while enhancing the capabilities of Nutanix&rsquo;s innovative solutions, particularly in the areas of Enterprise Cloud, Virtualization, Storage, Kubernetes, and AI technology. The SE team prides itself on building strong relationships with customers and aligning its technical strategies with the overall business objectives of Nutanix.</p><p>
You will report to the System Engineering Manager, who values strong technical backgrounds and prioritizes team collaboration. His leadership style focuses on fostering an inclusive environment where team members are empowered to contribute their expertise while continuously improving their technical skills.</p><p></p><p><b><br>
Your Role</b></p><ul><li>
Demonstrate features and articulate benefits of Nutanix solutions to influence customers&rsquo; purchases to drive business transformation</li><li>
Size and configure Nutanix solutions
</li><li>Navigate &amp; build long-term relationships with customers &amp; be seen and treated as their trusted/valued resource.
</li><li>Communicate customer feedback into the Nutanix ecosystem
</li><li>Partner with sales counterparts in developing account plans, customer persona coverage models, and proposal creation to recommend and design solutions based on Nutanix offerings.</li><li>
Collaborate with the wider presales team and obtain technical wins in the shortest and most professional manner</li><li>
Manage complex accounts and larger sales transactions</li><li>
Be a subject-matter expert in one or more Nutanix products.</li></ul><p></p><p><b><br>
What You Will Bring</b></p><ul><li>
6 to 9 years of experience in a customer-facing technical role with 5+ years&rsquo; experience as a Pre-sales Engineer.</li><li>
Hands-on technical aptitude, and the agility to adapt according to market demands.</li><li>
Strong background in virtualization, storage, and cloud technology.</li><li>
Proficiency in DevOps practices, including scripting and cloud-native applications.</li><li>
Solid Pre-Sales background with the ability to present solutions and conduct demonstrations.</li><li>
Analytical approach to solving complex problems, with the ability to clearly describe the situation and suggest a solution strategy.</li><li>
Excellent communication and presentation skills in English and Arabic is a plus.</li><li>
Technical advisory skills with a focus on customer engagement and relationship building.</li><li>
Ability to collaborate effectively with internal teams and account managers.</li><li>
Highest level of personal and professional ethics and integrity.</li><li>
A desire to learn and be challenged, and continuously strive for excellence.</li></ul><p></p><p><b><br>
Work Arrangement</b></p><p>
On Site: This role is based on-site, offering the opportunity to collaborate face-to-face with team members in a dynamic and engaging work environment. Being physically present allows for seamless teamwork and direct access to resources that support your success. Additional team-specific guidance and norms will be provided by your manager.</p></div><p></p>

Presales Systems Engineer - Strategic Accounts, Qatar

Google

<div>Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship.<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Dubai - United Arab Emirates; Doha, Qatar; Tel Aviv, Israel; Riyadh Saudi Arabia</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, a related field, or equivalent practical experience.</li>
<li>5 years of experience as a technical Solution Architect in a cloud computing environment or a customer-facing role.</li>
<li>Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.</li>
<li>Experience with AI products, technologies, and infrastructure.</li>
<li>Ability to communicate in Arabic and English fluently, to support client relationship management in this region.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in Computer Science or a related technical field.</li>
<li>Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).</li>
<li>Experience in architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.</li>
<li>Experience in building scalable software architectures that use agentic or GenAI driven capabilities.</li>
<li>Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.</li>
<li>Understanding of responsible AI practice.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
The Google Cloud Platform Generative AI Black Belt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using Artificial Intelligence (AI) and Machine Learning (ML).</p><p>
As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Business teams as an Generative AI subject matter expert to bring Google Cloud AI products to customers and partners.</p><div><div><p>
In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud&rsquo;s Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.</p></div></div>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.</li>
<li>Provide Artificial Intelligence (AI) expertise to support the technical relationship with Google&rsquo;s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.</li>
<li>Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.</li>
<li>Support developers, creators, and enterprises to leverage Google&rsquo;s Generative Language APIs so they can build their own AI products in the future.</li>
<li>Travel to customer sites, conferences, and other related events as needed.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Generative AI Specialist, Blackbelt, Google Cloud (Arabic, English)

Microsoft

<div><div>The mission of the Customer Success Unit (CSU) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft&rsquo;s products and services, ignited by our people and culture. Come join the CSU and help us build a future where customers achieve their business outcomes faster with technology that does more.</div><div>
As a<b> Cloud Solution Architect (CSA)</b> in <b>Cloud and AI Apps</b>, you will be at the forefront of transforming how Qatar's leading enterprises build intelligent applications. You will guide customers through their AI adoption journey, helping them design, build, and scale solutions using Azure, GitHub, and Microsoft&rsquo;s AI stack. You will influence senior stakeholders, drive strategic technical engagements, and help shape the future of AI-powered innovation in Qatar.</div><div>
This opportunity will allow you to:</div><ul><li>
Accelerate your career by working on high-impact AI and app innovation projects.</li><li>
Deepen your expertise in AI agents, cloud-native development, and enterprise architecture.</li><li>
Influence market leaders and drive AI adoption across industries.</li></ul><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li><b>
Lead Strategic AI Engagements</b>: Architect and deliver intelligent applications and AI agent solutions using Azure OpenAI, GitHub Copilot, and Azure Kubernetes Service.</li><li><b>
Influence Senior Stakeholders</b>: Engage with C-level executives, enterprise architects, and business leaders to align technical solutions with strategic business outcomes.</li><li><b>
Accelerate App Innovation</b>: Drive the design and implementation of cloud-native applications, leveraging modern development practices, DevOps, and platform engineering.</li><li><b>
Remove Technical Barriers</b>: Lead architectural reviews, proof-of-concepts, and MVPs to resolve blockers and accelerate solution deployment.</li><li><b>
Drive Consumption Growth</b>: Identify opportunities to increase Azure and GitHub usage through technical enablement, skilling, and solution optimization.</li><li><b>
Evangelize AI &amp; App Innovation</b>: Represent Microsoft in technical communities, conferences, and customer workshops, sharing insights and best practices.</li><li><b>
Collaborate Across Teams</b>: Work closely with engineering, product, and partner teams to bring the latest innovations to customers and contribute to reusable IP.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><h3 class="jobSectionHeader"><b>
Required Qualifications</b></h3><ul><li><b>
Bachelor's Degree</b> in Computer Science, Engineering, Business, or related field AND a few years of experience in cloud/infrastructure technologies, software development, or IT consulting<br>
OR equivalent experience.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Several years of experience in customer-facing technical roles, including architecture, consulting, or solution delivery.</li><li>
Proven experience with <b>AI/ML technologies</b>, especially in deploying <b>AI agents</b>, <b>LLMs or </b>Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications) would be a plus.</li><li>
Strong development background in <b>.NET, Python, Java, or JavaScript/Node.js</b>, with experience in cloud-native and microservices architectures.</li><li>
Deep understanding of <b>enterprise IT environments</b>, including security, compliance, and governance in regulated industries.</li><li>
Excellent communication and stakeholder management skills, with the ability to influence at all levels of an organization.</li><li>
Certifications in <b>Azure</b>, <b>AI</b>, or <b>DevOps</b> are a plus.</li></ul><div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

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