planning engineer

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ai engineer

Carnegie Mellon University

<div>
 We are hiring AI Engineer in our Qatar campus.
 
 
 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.
 
 
 
 Key Responsibilities
 
 
 
 
 AI Development, Support &amp; Deployment (50%)
 
 
 
 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.
 
 
 Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.
 
 
 Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.
 
 
 Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.
 
 
 Leverage experience with AI/ML solutions in
 
 Azure, AWS, or Google Cloud environments
 
 to support scalable deployments.
 
 
 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
 
 
 
 Training, Stakeholder Engagement &amp; Documentation (30%)
 
 
 
 Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.
 
 
 Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.
 
 
 Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.
 
 
 
 Research, Innovation &amp; Technology Evaluation (10%)
 
 
 
 Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.
 
 
 Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.
 
 
 Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.
 
 
 
 Collaboration (10%)
 
 
 
 Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.
 
 
 Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university&rsquo;s main campus.
 
 
 
 Minimum Qualifications
 
 
 
 
 Education:
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field is required.
 
 
 Master&rsquo;s degree preferred.
 
 
 
 Experience:
 
 
 
 3&ndash;5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.
 
 
 Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.
 
 
 Experience deploying AI/ML solutions in
 
 Azure, AWS, or Google Cloud environments
 
 .
 
 
 
 Skills &amp; Competencies:
 
 
 
 Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.
 
 
 Excellent presentation, documentation, and training facilitation skills.
 
 
 
 Joining the CMU team opens the door to an array of exceptional benefits.
 
 
 
 
 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.
 
 
 
 
 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!
 
 
 
 
 For a comprehensive overview of the benefits available, explore our Benefits page.
 
 
 
 
 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.
 
 
 
 
 Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
 
 
 
 
 Location
 
 
 
 Doha, Qatar
 
 
 
 Job Function
 
 
 
 Software/Applications Development/Engineering
 
 
 
 Position Type
 
 
 
 Staff &ndash; Fixed Term (Fixed Term)
 
 
 
 Full Time/Part time
 
 
 
 Full time
 
 
 
 Pay Basis
 
 
 
 
 More Information:
 
 
 
 <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

Information & Communication Technology - Digital

<div>
 Date: Jul 28, 2025
 
 
 Location:
 
 
 Doha, QA
 
 
 Company: Information and Communication Technology W.L.L
 
 
 Req ID: 2001
 
 
 
 Job Title
 
 
 
 Engineer - AI
 
 
 
 Job Scope
 
 
 
 The Engineer - AI will design and build AI-powered applications using large language models and advanced machine learning techniques. S/he will develop intelligent workflows, integrate APIs, and optimize system performance, with a focus on delivering scalable, efficient, and reliable AI solutions.
 
 
 
 Main Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Design and build applications utilizing LLMs for tasks such as summarization, content creation, classification, Q&amp;A, and conversational agents;
 </li>
 <li>
 Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using domain-specific datasets and vector databases (e.g., FAISS, Pinecone);
 </li>
 <li>
 Build agent-based systems with orchestration logic capable of autonomous planning, reasoning, and multi-step task execution;
 </li>
 <li>
 Integrate open-source and commercial LLMs into end-user applications using tools like LangChain and other orchestration frameworks;
 </li>
 <li>
 Craft prompt templates and implement chaining logic to guide model behavior effectively;
 </li>
 <li>
 Explore fine-tuning, embeddings, and context augmentation techniques to improve performance;
 </li>
 <li>
 Build and maintain APIs to expose AI capabilities securely and efficiently;
 </li>
 <li>
 Orchestrate workflows for real-time and asynchronous use cases;
 </li>
 <li>
 Continuously monitor, evaluate, and optimize GenAI pipelines for latency, cost, throughput, and reliability;
 </li>
 <li>
 Maintain detailed documentation of systems and effectively communicate results and capabilities to technical and non-technical stakeholders.
 
 
 
 </li>
 </ul>
 
 Position Requirements
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s degree in Engineering or any other related field
 
 
 
 Experience
 
 
 
 1 to 3 years of relevant experience
 
 
</div>

Engineer - AI

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 multiple Machine Learning Engineers who will leverage the latest research to design, train, deploy, and evaluate computer vision and/or language models to power the custom applications we build for our public sector clients.
 
 
 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>
 Partner with public sector counterparts to deeply understand their challenges
 </li>
 <li>
 Apply the latest research as you design custom models or chains of models
 </li>
 <li>
 Collaborate closely with our data annotation teams to create high-quality training datasets
 </li>
 <li>
 Train, optimize, and deploy models into challenging production environments
 </li>
 <li>
 Develop and maintain robust evaluation systems
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately one week per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;d have:
 
 
 
 <ul>
 <li>
 5+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment
 </li>
 <li>
 Master&rsquo;s or equivalent work experience
 </li>
 <li>
 Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup
 </li>
 <li>
 Experience dealing with large-scale AI problems
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 </li>
 <li>
 Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
 
 
 </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, 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.
 
 
 
 
 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>
 <div id='job-id'>Job Id: /Dy/V0lcQ2P0YB/PtBqqvMG9NRDRjhjpVbhPNFzXeGhi/zxCSf9idxexjiQzjQ3/9D16Plp7E/xMxg+/u6JTGIBX9SP14DI2MEq4h+Z/fsWjcjimPLHJQpRYOmTHj300spq8rkX6BA==</div>

Machine Learning Engineer, International Public Sector

<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 custom LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications to solve their most pressing challenges and achieve meaningful impact for citizens.
 
 
 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>
 Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
 </li>
 <li>
 Scope and implement comprehensive solutions to ambiguous customer problems
 </li>
 <li>
 Build and maintain end-to-end web applications using modern frameworks and technologies.
 </li>
 <li>
 Leverage database systems to manage and query data efficiently
 </li>
 <li>
 Deploy and manage infrastructure on cloud service environments for scalability and reliability
 </li>
 <li>
 Build customer facing products and integrate with AI models to deliver intelligent and interactive user experiences
 </li>
 <li>
 Work cross-functionally with design, product, and data teams to create robust applications
 </li>
 <li>
 Spend significant time onsite with clients, including traveling up to 1-2 weeks per month as needed
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in Python, Node, React, Next.js, TypeScript/JavaScript, or similar
 </li>
 <li>
 Can-do attitude with a good handle on infrastructure and system design
 </li>
 <li>
 Experience working directly with customers and within customer infrastructure
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Proficient in Arabic
 </li>
 <li>
 Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
 </li>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 
 
 </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, 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.
 
 
 
 
 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>
 <div id='job-id'>Job Id: tFZeHJEW051mkpz+aaw/MKXMH4JSsngpezT9X9Pr7tOUaaoOhC8IT/gdxUfyjHxtxQUop6YcsezV/vmhB/lOSSZwYhM6/24NpaKswVOvwNX/Ckz2E23HYzqBnNf4CiSRysClkFrUvA==</div>

Software Engineer (Forward Deployed), International Public Sector

Swan Global WLL

Hiring Machine Learning Engineer/Sr. Data ScientistContract type:- Long termSalary:- TBDDuty hrs:- 8 hrs/ 5 daysSkills - Required:&#9679; Knowledge of statistical modelling and popular machine learning models.&#9679; Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.&#9679; Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.&#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.&#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&#9679; Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.&#9679; Feature engineering, Feature selection/Feature importance, Dimensionality&#9679; Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, StackingShould possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.&#9679; Critical eye for the quality of data and strong desire to get it right.&#9679; A pleasantly forceful personality and charismatic communication style.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.&#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.Job Type: Contract Contract length: 6 monthsApplication Question(s):<ul><li>Are you under freelance visa?</li></ul>Language:<ul><li>Arabic (Required)</li></ul>

Machine Learning Engineer/ Sr. Data Scientist

<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>
 As a Software Engineer (Product), you&rsquo;ll work to turn prototypes into scalable, generalized AI applications that can serve public sector clients across the world and build the tooling that will enable our operations teams to efficiently create high-quality data for AI models.
 
 
 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>
 Build and maintain full stack web applications using modern frameworks and technologies
 </li>
 <li>
 Leverage database systems to manage and query data efficiently
 </li>
 <li>
 Deploy and manage infrastructure on cloud service environments for scalability and reliability
 </li>
 <li>
 Contribute to horizontal platform features which will be used across different client use cases
 </li>
 <li>
 Work cross-functionally with design, product, and data teams to create robust applications
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), Python, Node, Next.js, TypeScript/JavaScript, MongoDB, or similar
 </li>
 <li>
 Solid background in algorithms, data structures, databases and object-oriented programming
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Previous experience working at a startup or in a forward-deployed role
 </li>
 <li>
 Experience deploying infrastructure on cloud service providers
 </li>
 <li>
 Experience building user interfaces and applications that leverage AI models
 
 
 </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, 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.
 
 
 
 
 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>
 <div id='job-id'>Job Id: uBDa93OGTletG68uPq3al/HCJZ08AEV6FHAfGznX0LbVtDl20FNpFw9Zlz9P9fPFGhjriKAvW4Yboh2MUQFMCvO3RF6GxdVlS0BYczBHdAyiDKNcs2oOWD1h81tlcJDbAHJiuBURWA==</div>

Software Engineer (Product), International Public Sector

<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, 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.
 
 
 
 
 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

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