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Wood

<div>
 
 Job Description
 
 
 
 
 Remarkable people, trusted by clients to design and advance the world
 
 
 
 Wood is currently hiring for a AI Research Intern to support future growth in our expanding business
 
 
 This is a 3 month Internship based in Qatar.
 
 
 
 Responsibilities
 
 
 
 AI Research Intern will Join Wood PLC&rsquo;s Asset Life Optimisation consulting team to dive into the intersection of artificial intelligence and asset integrity. This internship focuses on exploring how AI and machine learning can enhance service delivery in corrosion, vibration, and integrity management.
 
 
 
 Designing the future. Transforming the world
 
 
 
 Reflecting The Market Focus For The Office In Both Brownfield And Green Field Opportunities, Multi-skilled Personnel Are Sought, In Particular Those With Experience In
 
 
 Onshore Oil and Gas
 
 
 Offshore Oil and Gas
 
 
 
 What We Can Offer
 
 
 
 <ul>
 <li>
 Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
 </li>
 <li>
 Commitment to Diversity and Inclusion; we are an organisation actively committed to diversity and inclusion across our business with employee networks committed to giving all employees a voice
 </li>
 <li>
 Global connections: join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Research current AI applications in asset integrity (e.g., predictive modeling, anomaly detection).
 </li>
 <li>
 Identify inefficiencies in existing workflows and propose AI-based solutions.
 </li>
 <li>
 Interview team members to understand data availability and operational challenges.
 </li>
 <li>
 Develop 2&ndash;3 AI use cases with feasibility assessments.
 
 
 </li>
 </ul>
 
 Deliverables
 
 
 
 <ul>
 <li>
 A research report or white paper.
 </li>
 <li>
 A presentation summarizing findings and recommendations.
 </li>
 <li>
 A simple prototype or mock-up (optional).
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 What makes you remarkable?
 
 
 
 At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world&rsquo;s most critical challenges.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (or final year student) in Engineering, Computer Science, Data Science, or a related field.
 </li>
 <li>
 Strong analytical and research skills.
 </li>
 <li>
 Basic understanding of AI/ML concepts and tools.
 </li>
 <li>
 Ability to communicate technical findings clearly.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with Python, MATLAB, or other data analysis tools.
 </li>
 <li>
 Exposure to asset integrity or reliability engineering concepts.
 </li>
 <li>
 Experience with data visualization.
 
 
 </li>
 </ul>
 
 Learning Opportunities
 
 
 
 <ul>
 <li>
 Research and innovation in AI applications.
 </li>
 <li>
 Technical writing and presentation skills.
 </li>
 <li>
 Exposure to real-world engineering challenges.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com
 
 
 
 Diversity Statement
 
 
 
 We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
</div>

AI Research Intern

Wood PLC

<div>Remarkable people, trusted by clients to design and advance the world
Wood is currently hiring for a AI Research Intern to support future growth in our expanding business
This is a 3 month Internship based in Qatar.</div>
 <div>AI Research Intern will Join Wood PLC&rsquo;s Asset Life Optimisation consulting team to dive into the intersection of artificial intelligence and asset integrity. This internship focuses on exploring how AI and machine learning can enhance service delivery in corrosion, vibration, and integrity management.
Designing the future. Transforming the world
Reflecting the market focus for the office in both brownfield and green field opportunities, multi-skilled personnel are sought, in particular those with experience in:
Onshore Oil and Gas
 
Offshore Oil and Gas
What we can offer
<ul><li>Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
</li><li>Commitment to Diversity and Inclusion ; we are an organisation actively committed to diversity and inclusion across our business with employee networks committed to giving all employees a voice
</li><li>Global connections : join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
</li></ul>Key Responsibilities:
<ul><li>Research current AI applications in asset integrity (e.g., predictive modeling, anomaly detection).
</li><li>Identify inefficiencies in existing workflows and propose AI-based solutions.
</li><li>Interview team members to understand data availability and operational challenges.
</li><li>Develop 2&ndash;3 AI use cases with feasibility assessments.
</li></ul>Deliverables:
<ul><li>A research report or white paper.
</li><li>A presentation summarizing findings and recommendations.
</li><li>A simple prototype or mock-up (optional).</li></ul></div>
 <div>What makes you remarkable?
At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world&rsquo;s most critical challenges.
Experience:
<ul><li>Bachelor&rsquo;s degree (or final year student) in Engineering, Computer Science, Data Science, or a related field.
</li><li>Strong analytical and research skills.
</li><li>Basic understanding of AI/ML concepts and tools.
</li><li>Ability to communicate technical findings clearly.
</li></ul>Preferred Qualifications:
<ul><li>Familiarity with Python, MATLAB, or other data analysis tools.
</li><li>Exposure to asset integrity or reliability engineering concepts.
</li><li>Experience with data visualization.
</li></ul>Learning Opportunities:
<ul><li>Research and innovation in AI applications.
</li><li>Technical writing and presentation skills.
</li><li>Exposure to real-world engineering challenges.</li></ul></div>
 <div><div>Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com 
</div><div></div> 
<div>Diversity Statement
</div><div>We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.</div></div>

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:
 
 
 <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
 
 
 </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.
 
 
 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.
 
 
 You will:
 
 
 <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.
 
 
 </li>
 </ul>
 Ideally you&rsquo;d have:
 
 
 <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
 
 
 </li>
 </ul>
 Nice to haves:
 
 
 <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
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 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.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLP Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 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.
 
 
 
 
 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
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 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.
 
</div>

Machine Learning Engineering Manager, International Public Sector

GE Aerospace

<div><h1 class="jobSectionHeader">Job Description Summary</h1><h1 class="jobSectionHeader">
Job Description</h1><div></div><div>
Company Overview:
Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
Site Overview
We serve regional customers with our &quot;Two sites, one team&quot; approach, operating from OWS Doha and Dubai. We have exciting growth plans for the upcoming years and are committed to excellence in everything we do. Our team is diverse, with more than 20 different nationalities, and we celebrate different perspectives and backgrounds, which contribute to innovative solutions and a dynamic workplace. Join us and be part of a team that is dedicated to making a difference in the aerospace industry.
Role Overview</div>
Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
What You will Do<ul><li>
Develop technical solutions for engineers to evaluate and adopt data and AI solutions.</li><li>
Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems</li><li>
Build and present product architectures, write technical code, and demo applications to stakeholders.</li><li>
Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value</li><li>
Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods</li><li>
Use your strengths to support team members and build cross-functional relationships across the company.</li><li>
Work to ship solutions to production that meet business needs and drive impact.</li></ul>
Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
Required Qualifications<ul><li>
Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.</li><li>
Minimum 3.7 cumulative GPA off a 4.0 scale without rounding</li></ul><ul><li>
Strong academic performance in Computer Science or other STEM disciplines</li><li>
Experience designing AI solutions and architecting distributed data systems</li><li>
 Proficiency in programming and debugging with Python, C#, C++, and SQL</li><li>
Customer-centric mindset with ability to lead design thinking workshops</li><li>
Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision</li><li>
Experience building solutions using public cloud platforms such as AWS or Azure</li><li>
Preferred but not required: AWS and/or Azure certification</li><li>
No prior work experience required</li></ul>
About The Internship<ul><li>
Winter Full-time (5 weeks) + Spring Part-time (12 weeks)</li><li>
Location: Remote</li><li>
Paid Internship</li><li>
Travel Opportunities</li><li>
Real-world project ownership</li><li>
Mentorship from experienced engineers</li><li>
Opportunity for return offers</li></ul>
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
<h1 class="jobSectionHeader">Additional Information</h1><div><div><div><div><div><div><div>
Relocation Assistance Provided: No</div></div></div></div></div></div></div></div>

Artificial Intelligence Intern

<div>
 
 Job Description Summary
 
 
 
 
 Job Description
 
 
 
 
 Company Overview
 
 
 
 Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
 
 
 
 Site Overview
 
 
 
 We serve regional customers with our "Two sites, one team" approach, operating from OWS Doha and Dubai. We have exciting growth plans for the upcoming years and are committed to excellence in everything we do. Our team is diverse, with more than 20 different nationalities, and we celebrate different perspectives and backgrounds, which contribute to innovative solutions and a dynamic workplace. Join us and be part of a team that is dedicated to making a difference in the aerospace industry.
 
 
 
 Role Overview
 
 
 
 Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
 
 
 At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
 
 
 What You will Do
 
 
 <ul>
 <li>
 Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
 </li>
 <li>
 Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
 </li>
 <li>
 Build and present product architectures, write technical code, and demo applications to stakeholders.
 </li>
 <li>
 Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
 </li>
 <li>
 Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
 </li>
 <li>
 Use your strengths to support team members and build cross-functional relationships across the company.
 </li>
 <li>
 Work to ship solutions to production that meet business needs and drive impact.
 
 
 </li>
 </ul>
 Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
 </li>
 <li>
 Minimum 3.7 cumulative GPA off a 4.0 scale without rounding
 </li>
 <li>
 Strong academic performance in Computer Science or other STEM disciplines
 </li>
 <li>
 Experience designing AI solutions and architecting distributed data systems
 </li>
 <li>
 Proficiency in programming and debugging with Python, C#, C++, and SQL
 </li>
 <li>
 Customer-centric mindset with ability to lead design thinking workshops
 </li>
 <li>
 Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision
 </li>
 <li>
 Experience building solutions using public cloud platforms such as AWS or Azure
 </li>
 <li>
 Preferred but not required: AWS and/or Azure certification
 </li>
 <li>
 No prior work experience required
 
 
 </li>
 </ul>
 
 About The Internship
 
 
 
 <ul>
 <li>
 Winter Full-time (5 weeks) + Spring Part-time (12 weeks)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Paid Internship
 </li>
 <li>
 Travel Opportunities
 </li>
 <li>
 Real-world project ownership
 </li>
 <li>
 Mentorship from experienced engineers
 </li>
 <li>
 Opportunity for return offers
 
 
 </li>
 </ul>
 At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 Relocation Assistance Provided:
 
 No
</div>

Al-Tamyeez Security Systems Co.

We are seeking a highly skilled and motivated AI Engineer (Software &amp;hardware ) to join our growing engineering team. As an AI Engineer, you will be responsible for designing, developing, and deploying intelligent systems and machine learning models to solve complex problems across various domains. You will collaborate closely with software engineers, data scientists, and product teams to integrate AI capabilities into scalable software solutions.Key Responsibilities:<ul><li>Design, build, and deploy machine learning models and AI algorithms.</li></ul><ul><li>Develop scalable and production-ready AI solutions for real-world applications.</li></ul><ul><li>Collaborate with cross-functional teams (data engineering, product, software development) to define technical requirements.</li></ul><ul><li>Integrate AI models into software products and services using appropriate APIs and frameworks.</li></ul><ul><li>Optimize model performance, reliability, and accuracy through testing and iteration.</li></ul><ul><li>Stay up-to-date with the latest trends and advancements in AI, ML, NLP, and computer vision.</li></ul><ul><li>Work with large-scale datasets: data cleaning, feature engineering, and preprocessing.</li></ul><ul><li>Monitor and maintain AI systems in production, ensuring robustness and performance.</li></ul>&#11835;Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul><ul><li>Strong programming skills in Python (preferred), Java, or C++.</li></ul><ul><li>Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li></ul><ul><li>Experience with model deployment tools (e.g., Docker, Kubernetes, Flask, FastAPI).</li></ul><ul><li>Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML workflows.</li></ul><ul><li>Understanding of software engineering best practices (Git, CI/CD, unit testing).</li></ul><ul><li>Strong problem-solving and analytical thinking abilities.</li></ul>&#11835;Preferred Qualifications:<ul><li>Experience in deep learning, computer vision, NLP, or reinforcement learning.</li></ul><ul><li>Experience with MLOps tools and practices (MLflow, Kubeflow, etc.).</li></ul><ul><li>Prior experience deploying AI models in production environments.</li></ul><ul><li>Knowledge of data warehousing, big data technologies (Spark, Hadoop).</li></ul><ul><li>Contributions to open-source AI/ML projects.</li></ul>Benefits:<ul><li>Competitive salary and performance bonuses</li></ul><ul><li>Health, dental, and vision insurance</li></ul><ul><li>Generous paid time off and holidays</li></ul><ul><li>Remote work options and flexible hours</li></ul><ul><li>Professional development and training opportunities</li></ul>Department: Engineering / AI &amp; Machine LearningJob Type: Full-TimeSalary depends on qualifications &amp; experience (Range 3500 to 5000)Location: DOHAJob Type: Full-timePay: QAR3,500.00 - QAR5,000.00 per month

AI Engineer (Software & Hardware )

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Riyadh Saudi Arabia; Dubai - United Arab Emirates; Kuwait City, Kuwait; Doha, Qatar
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 10 years of experience with cloud native architecture in a customer-facing or support role.
 </li>
 <li>
 Experience with Machine Learning model development and deployment.
 </li>
 <li>
 Experience with frameworks for deep learning (e.g., PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.
 </li>
 <li>
 Experience engaging with, and presenting to, technical stakeholders and executive leaders.
 </li>
 <li>
 Ability to communicate in Arabic fluently to support client relationship management in this region.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
 </li>
 <li>
 Experience in architecting and developing software or infrastructure for scalable, distributed systems.
 </li>
 <li>
 Experience in data and information management as it relates to big data trends and issues within businesses.
 </li>
 <li>
 Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
 
 
 As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You'll partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole.
 
 
 You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.
 </li>
 <li>
 Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and benchmarking.
 </li>
 <li>
 Build repeatable assets to enable other customers and internal teams.
 </li>
 <li>
 Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
 </li>
 <li>
 Be responsible for business and workload acceleration on AI Infrastructure products and solutions for Google Cloud Platform (GCP).
 
 
 
 </li>
 </ul>
 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>

Customer Engineer, AI/ML, Google Cloud (Arabic)

Explore 340+ Machine learning intern in Doha this September. Find roles across top companies and apply now to boost your career.

340 machine learning intern jobs IN Doha

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Customer Engineer, AI/ML, Google Cloud (Arabic)