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ai specialist

NADEC Foods

<div>
 
 The AI Specialist will be a hands-on technical expert responsible for designing, developing, implementing, and maintaining artificial intelligence and machine learning models to solve complex business problems within NADEC. This role involves working closely with data scientists, data engineers, and business stakeholders to identify opportunities for AI, develop robust solutions, and contribute to the continuous improvement of NADEC's operational efficiency, product innovation, and customer experience through AI.
 
 
 
 
 
 Core Accountabilities:
 
 
 &bull; AI/ML Model Development &amp; Implementation: Design, develop, train, and deploy machine learning models (e.g., for predictive o analytics, natural language processing, computer vision, anomaly detection, o recommendation systems).
 
 
 &cir; Perform data collection, preprocessing, feature engineering, and validation for o AI/ML models. &cir; Write production-quality code for AI/ML solutions and integrate them into o existing systems and workflows. o Optimize models for performance, scalability, and accuracy.
 
 
 &bull; Research &amp; Innovation: o Stay current with the latest advancements, techniques, and tools in AI, machine o learning, and deep learning.
 
 
 o Evaluate and experiment with new AI technologies and methodologies to o assess their potential value for NADEC.
 
 
 Contribute to the development of innovative AI-driven solutions to address o specific business needs in areas like agriculture, manufacturing, supply chain, o and sales &amp; marketing.
 
 
 &bull; Data Analysis &amp; Interpretation:
 
 
 o Collaborate with data analysts and business users to understand data sources o and requirements for AI projects.
 
 
 o Analyze large datasets to identify patterns, insights, and opportunities for AI o application. o Clearly communicate complex AI concepts and model results to both technical o and nontechnical audiences.
 
 
 ● Model Monitoring &amp; Maintenance:
 
 
 &cir; Develop and implement strategies for monitoring the performance of deployed o AI models. o Perform ongoing maintenance, retraining, and fine-tuning of models to ensure o continued accuracy and relevance.
 
 
 o Troubleshoot and resolve issues related to AI model performance or o deployment.
 
 
 o ● Collaboration &amp; Documentation:
 
 
 &bull; Work collaboratively in an agile environment with cross-functional teams o including data engineers, software developers, and business stakeholders. o Document AI models, methodologies, processes, and results thoroughly.
 
 
 o Participate in code reviews and knowledge-sharing sessions Public
 
 
 &bull; Ethical AI:
 
 
 &cir; Ensure that AI solutions are developed and deployed responsibly, considering o fairness, transparency, and ethical implications
 
</div>

AI Specialist

Rwaa al Tamez

We are looking for a highly capable AI, Blockchain &amp; Digital Applications Specialist who understands how modern technologies are actually built, connected, and deployed.This is a hands-on role focused on building real systems, not theory or consulting.Key Responsibilities<ul><li>Design and implement AI-powered applications and workflows</li><li>Build or support development of digital platforms (web/app-based systems)</li><li>Integrate AI tools (LLMs, APIs) into real business use cases</li><li>Work with blockchain technologies (wallets, smart contracts, Web3 tools) when needed</li><li>Connect systems through APIs and manage data flow between platforms</li><li>Collaborate with business teams to translate ideas into working products</li><li>Evaluate and test new technologies before deployment</li></ul>Required Skills<ul><li>Strong understanding of how applications are built (front-end, back-end basics, APIs)</li><li>Hands-on experience with AI tools and integrations (LLMs, automation, APIs)</li><li>Solid understanding of blockchain fundamentals (wallets, transactions, smart contracts)</li><li>Experience working with real projects (not just courses or certifications)</li><li>Ability to build, test, and deliver functional solutions</li></ul>Technical Stack (any of the below)<ul><li>JavaScript / Python</li><li>API integrations</li><li>No-code / low-code tools (optional but useful)</li><li>Web3 tools (MetaMask, smart contracts basics, etc.)</li><li>Cloud or hosting basics</li></ul>Job Types: Full-time, Part-timePay: ﷼3,000.00 - ﷼8,000.00 per monthExpected hours: 20 &ndash; 40 per weekWork Location: In person

AI Systems & Automation Specialist ( Blockchain & Digital Platforms)

KAUST (King Abdullah University of Science and Technology)

<div>
 
 
 The Role
 
 
 
 
 
 
 The Senior AI/ML Support Specialist will provide expert technical support and enablement services for AI research computing at KAUST's world-class supercomputing facility (KSL). Working under the AI/ML Support Team Lead, this role focuses on hands-on technical implementation, user support, and optimization of AI workflows on KSL's infrastructure. The scientist will serve as a technical expert helping researchers effectively utilize thousands of GPUs for distributed AI training, while ensuring compliance with governance and security requirements. A key aspect of this role involves the review and implementation of secure and compliant artifact creation and maintenance for AI, including models, software, datasets, and pipelines. Senior candidates should initiate and autonomously work on operational and/or scientific impact project(s) in collaboration with KAUST faculty members or with teams in the lab or other core labs, in the framework of method development projects impacting a wide range of research groups by proposing new added-value services within the lab.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 Technical Implementation and Support
 
 
 <ul>
 <li>
 Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries.
 </li>
 <li>
 Maintain high customer service standards in dealing with and responding to user issues and questions.
 </li>
 <li>
 Install, configure, and maintain AI/ML software packages on HPC systems, ensuring secure, compliant, and performant deployments.
 </li>
 <li>
 Provide expert technical support for distributed training on GPUs using frameworks like DeepSpeed, PyTorch Lightning, NVIDIA Nemo, and PyTorch FSDP.
 </li>
 <li>
 Debug and optimize performance issues in AI workloads, including communication bottlenecks and I/O optimization.
 </li>
 <li>
 Develop and maintain complex SLURM workflows for multi-node, multi-GPU training jobs.
 </li>
 <li>
 Assist researchers with hyperparameter optimization and distributed data analytics implementations.
 </li>
 <li>
 Support users in building efficient OCI-compliant and HPC-ready containers using Singularity and Podman for AI workloads.
 </li>
 <li>
 Troubleshoot issues with NCCL, MPI, and other communication libraries for GPU clusters.
 </li>
 </ul>
 
 
 
 
 
 Governance and Compliance Support
 
 
 <ul>
 <li>
 Execute AI artifact control reviews for software packages, models, and datasets.
 </li>
 <li>
 Perform computational readiness reviews for AI project proposals.
 </li>
 <li>
 Inspect security vulnerabilities in AI software, models, and datasets using tools like JFrog, Nexus, Trivy, Snyk, or similar.
 </li>
 <li>
 Support the implementation of usage monitoring and reporting systems for audit compliance.
 </li>
 <li>
 Maintain documentation of control processes and security procedures.
 </li>
 <li>
 Ensure user workflows comply with KSL security policies and best practices.
 </li>
 </ul>
 
 
 
 
 
 AI Infrastructure Development
 
 
 <ul>
 <li>
 Develop and maintain AI/ML benchmarks for system performance evaluation and regression testing.
 </li>
 <li>
 Build and maintain automated testing for continuous validation of HPC systems hosting AI workload after maintenance events (regression testing).
 </li>
 <li>
 Create tools and scripts to simplify researcher workflows and improve productivity.
 </li>
 <li>
 Contribute to the development of AI-enabled monitoring tools for anomaly detection in datasets and resource utilization.
 </li>
 <li>
 Implement solutions for efficient data movement and optimization on high performance storage (Lustre, Weka IO, Object stores).
 </li>
 <li>
 Develop CI/CD pipelines for reproducible AI workflows using GitLab, Argo, Tekton, etc.
 </li>
 <li>
 Support MLOps initiatives, including experiment tracking, model versioning, and deployment pipelines.
 </li>
 </ul>
 
 
 
 
 
 User Training and Documentation
 
 
 <ul>
 <li>
 Deliver technical training sessions on distributed AI training, containerization, and HPC best practices.
 </li>
 <li>
 Create and maintain technical documentation, tutorials, and best practice guides.
 </li>
 <li>
 Provide one-on-one consultation to researchers on efficient use of computational and storage resources.
 </li>
 <li>
 Develop training materials for new AI frameworks and tools as they are deployed.
 </li>
 <li>
 Support the Team Lead in workshop preparation and delivery.
 </li>
 <li>
 Contribute to knowledge base articles and FAQ documentation.
 </li>
 </ul>
 
 
 
 
 
 Technology Evaluation and Testing
 
 
 <ul>
 <li>
 Test and evaluate new AI frameworks, libraries, and tools for potential deployment.
 </li>
 <li>
 Conduct feasibility studies for emerging technologies relevant to AI workloads.
 </li>
 <li>
 Perform benchmarking of new hardware and software configurations.
 </li>
 <li>
 Support acceptance testing for new systems and upgrades.
 </li>
 <li>
 Provide technical input for procurement decisions based on user needs.
 </li>
 <li>
 Participate in proof-of-concept projects for innovative AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Strong academic foundation in machine learning, deep learning, and AI fundamentals.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 8 years of experience in HPC environments, AI/ML support, or related technical field.
 </li>
 <li>
 Proven experience with large-scale multi-GPU and multi-node distributed training.
 </li>
 <li>
 Hands-on experience with AI/ML frameworks in production HPC environments.
 </li>
 <li>
 Experience supporting researchers or working in academic/research computing settings.
 </li>
 <li>
 Programming: Proficiency in Python; experience with R, Julia, or C++ is a plus.
 </li>
 <li>
 AI/ML Frameworks: Strong expertise in PyTorch and/or TensorFlow, JAX.
 </li>
 <li>
 Distributed Training: Experience with DeepSpeed, Ray, PyTorch Lightning, NVIDIA Nemo, PyTorch FSDP, or similar.
 </li>
 <li>
 HPC Systems: Proficiency with SLURM workload manager and job scripting.
 </li>
 <li>
 Communication Libraries: Experience tuning NCCL, MPI for GPU clusters.
 </li>
 <li>
 Containerization: Expertise in Singularity and Podman for HPC environments.
 </li>
 <li>
 Software Management: Experience with Conda, Pip, Spack, EasyBuild, or Environment Modules.
 </li>
 <li>
 Linux: Strong Linux/Unix skills and bash scripting capabilities.
 </li>
 </ul>
 
 
</div>

Senior HPC AI/ML Support Specialist

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div> 
What you&rsquo;ll build: 
This specialist role sits at the intersection of enterprise SAP delivery and applied AI. You will identify, design, and support the implementation of AI use cases across customer SAP landscapes, from discovery through early deployments, operational adoption, and consumption. 
What you bring:<ul><li> 
3&ndash;5 years in enterprise applications, analytics, software engineering, or AI delivery. You have delivered solutions that reached real users, not just prototypes.</li><li>
Experience contributing to the implementation or activation of AI solutions within enterprise environments.</li><li>
Comfortable working with business and technical stakeholders in a consulting environment.</li><li>
Working understanding of AI and ML concepts and how they are applied in enterprise solutions. Familiarity with agent-based AI concepts is a plus.</li><li>
Experience working with enterprise platforms such as SAP BTP or similar cloud platforms. Exposure to SAP Business AI capabilities is beneficial and will be developed on the job. /
Deep SAP platform knowledge is valuable but not the gating factor.</li><li>
Able to produce clear documentation and contribute to technical discussions.</li></ul>
What Success Looks Like<ul><li><div><ul><li>
AI use cases move beyond experimentation and are adopted in real business workflows.</li><li>
AI capabilities are consumed consistently across relevant business processes.</li><li>
Customer stakeholders re-engage you across subsequent phases of work.</li></ul></div></li></ul> 
Where you belong: 
<ul><li>
Lead and document AI use case discovery workshops, identifying and prioritizing impactful opportunities for AI within business processes.</li><li>
Prepare clear documentation&mdash;problem statements, value hypotheses, KPIs&mdash;to guide engineering teams and make informed automation decisions.</li><li>
Drive the activation and deployment of AI use cases, collaborating with technical teams to translate concepts into operational solutions, while identifying and resolving adoption barriers.</li><li>
Support the scaling, operational adoption, and ongoing usage of AI capabilities, producing deployment and operations documentation.</li><li>
Contribute to AI solution architecture, creating diagrams, documentation, and ensuring alignment with best practices and responsible AI governance.</li><li>
Advise customers by translating business needs into technical solutions, building trusted relationships, and articulating AI adoption strategies and roadmaps in line with SAP capabilities.</li><li>
Clearly communicate technical concepts to non-technical stakeholders.</li></ul> 
You will be part of a growing internal AI practice team, collaborating closely with senior architects, AI developers, and data engineers. Senior architects guide complex architecture decisions. Your role is to operate independently within structured delivery contexts and build trusted relationships with customer stakeholders over time.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 448414 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 90% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</div>

AI Solution Architect (One-Year Fixed Term contract)

YO IT CONSULTING

<div>Work Mode: Remote 
Engagement Type: Independent Contractor
Type: Full-time or Part-time Contract Work
Fluent Language Skills Required: English &amp; Chinese (Mandarin)
Why This Role Exists
We believe the safest AI is the one that&rsquo;s already been attacked &mdash; by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.
This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.
What You&rsquo;ll Do
<ul><li>Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
</li><li>Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
</li><li>Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
</li><li>Document reproducibly: produce reports, datasets, and attack cases customers can act on
</li></ul>Who You Are
<ul><li>You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
</li><li>You&rsquo;re curious and adversarial: you instinctively push systems to breaking points
</li><li>You&rsquo;re structured: you use frameworks or benchmarks, not just random hacks
</li><li>You&rsquo;re communicative: you explain risks clearly to technical and non-technical stakeholders
</li><li>You&rsquo;re adaptable: thrive on moving across projects and customers
</li></ul>Nice-to-Have Specialties
<ul><li>Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
</li><li>Cybersecurity: penetration testing, exploit development, reverse engineering
</li><li>Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
</li><li>Creative probing: psychology, acting, writing for unconventional adversarial thinking
</li></ul>What Success Looks Like
<ul><li>You uncover vulnerabilities automated tests miss
</li><li>You deliver reproducible artifacts that strengthen customer AI systems
</li><li>Evaluation coverage expands: more scenarios tested, fewer surprises in production
</li></ul><h2 class="jobSectionHeader">Contract and Payment Terms</h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div>

Chinese Mandarin & English Trainer - Remote

atmaal

<div>
 
 Job Title: Data Scientist
 
 
 
 
 
 We are seeking a skilled Data Scientist to join our team in Riyadh. The selected candidate will be responsible for transforming business objectives into data-driven solutions by leveraging advanced analytics, machine learning, and artificial intelligence. This role requires strong analytical thinking, technical expertise, and the ability to translate complex data into actionable insights that support business decisions.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and practical use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to identify patterns and anticipate future trends.
 
 
 &bull; Utilize prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply Natural Language Processing (NLP) techniques for use cases such as sentiment analysis, text classification, and entity extraction from unstructured data.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, detect anomalies, and uncover hidden patterns.
 
 
 &bull; Utilize Generative AI capabilities for tasks such as content summarization, automated insight extraction, and code generation.
 
 
 &bull; Develop and deploy analytical solutions using platforms such as Vertex AI for model development and Power BI for data visualization, ensuring alignment with business workflows.
 
 
 &bull; Communicate complex analytical findings through clear visualizations and data storytelling techniques for both technical and non-technical stakeholders.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to ensure transparency and reproducibility across the data science lifecycle.
 
 
 
 
 
 Education:
 
 
 &bull; Bachelor&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
 
 
 
 
 
 Experience:
 
 
 &bull; 3&ndash;5 years of experience in Data Science, Advanced Analytics, or a related field.
 
 
 
 
 
 Technical Expertise:
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Vertex AI
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Python
 
</div>

Data Scientist

Elite Events

Social Media Content Specialist (Creative Production &amp; Marketing AI Tools)Position OverviewExceptional Projects Management is seeking a highly creative, innovative, and detail-oriented Social Media Content Specialist to support the company&rsquo;s growing digital presence through high-quality visual storytelling and engaging multimedia content.The successful candidate will be responsible for creating, editing, and publishing compelling social media content, ensuring consistent brand presentation across all platforms. This role focuses on creative production, platform management, and audience engagement, while leveraging modern Marketing AI tools to enhance efficiency, creativity, and content quality.The ideal candidate is passionate about visual storytelling, emerging technologies, and social media trends, with the ability to transform ideas into impactful digital content that captures audience attention and strengthens brand visibility.Key Responsibilities:1. Social Media Platform Management- Manage and maintain the company&rsquo;s official social media presence across platforms including Instagram, Facebook, TikTok, LinkedIn, YouTube, Snapchat, X, Pinterest.- Schedule and publish content based on a structured content calendar and publishing plan.- Ensure consistent brand identity, messaging, and visual standards across all platforms.- Organize and maintain a library of social media assets and content materials.2. Creative Content Production- Develop and produce high-quality multimedia content including:Social media postsReels and short-form videosStories and interactive contentBranded graphics and visuals- Capture, edit, and enhance photos and videos to create visually compelling content.- Write engaging captions and social media copy aligned with the company&rsquo;s brand voice and communication style.- Adapt content to suit platform-specific formats and audience behavior.3. Visual Storytelling &amp; Brand Consistency- Translate company messages into clear, creative, and visually engaging social media stories.- Ensure all visual and written content follows brand guidelines and communication standards.- Maintain a consistent tone, aesthetic, and storytelling style across platforms.4. Marketing AI Tools Integration- Utilize Marketing AI tools to enhance creative production and workflow efficiency, including:AI-powered caption and content generationAI-assisted video editing and enhancementAI image improvement and visual design supportCreative ideation and content brainstorming- Apply AI tools to improve content quality, speed of production, and creative experimentation.- Stay updated on emerging AI technologies used in marketing and content creation.5. Creative Collaboration- Contribute innovative ideas and creative concepts for social media content.- Ensure alignment between content visuals, messaging, and brand identity.6. Community Engagement- Monitor comments, mentions, and direct messages across all social media platforms.- Maintain professional and timely communication with followers and audience members.- Support the development of an active and positive online community.7. Content Performance Monitoring- Track key content indicators including:Audience engagementContent reachInteraction levels- Provide observations and recommendations to improve future content production.Required Qualifications:* Proven experience in social media content creation or social media management.* Demonstrated experience using Marketing AI tools for creative content production.* Strong understanding of major social media platforms and modern content formats.* Proficiency in creative software such as:Adobe PhotoshopAdobe IllustratorAdobe Premiere ProCanva* Excellent visual creativity and storytelling ability.* Strong writing and communication skills.* Ability to manage multiple creative projects simultaneously and meet deadlines.Core Competencies* Creative Content Development* Social Media Platform Management* Visual Storytelling &amp; Brand Consistency* Marketing AI Tools &amp; AI-Assisted Creative Workflow* Collaboration &amp; Creative Communication* Organization &amp; Project Coordination* Attention to Detail &amp; Content QualityProfessional AttributesThe ideal candidate demonstrates:* A strong passion for creative media and digital storytelling* Curiosity toward new technologies and AI tools* A proactive and innovative mindset* High standards of professionalism, creativity, and qualityWWW.EXCEPTIONAL-PM.COMJob Type: Full-time

Social Media Specialist

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