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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)

<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

<div>Work Mode: Remote 
Engagement Type: Independent Contractor 
Schedule: Full-Time or Part-Time Contract
Language Requirement: Fluent English
Role :
Partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.
In engineering-related contexts, conversational AI systems must demonstrate accurate applied reasoning, quantitative precision, and practical problem-solving aligned with real-world systems. This project focuses on evaluating and improving how models reason about and explain engineering concepts across multiple disciplines.
What You&rsquo;ll Do
<ul><li>Write and refine prompts to guide model behavior in engineering scenarios
</li><li>Evaluate LLM-generated responses to engineering-related queries for technical accuracy, applied reasoning, and completeness
</li><li>Conduct fact-checking and verify any technical claims using authoritative public sources and domain knowledge
</li><li>Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies
</li><li>Assess clarity, structure, and appropriateness of explanations for different audiences
</li><li>Ensure model responses align with expected conversational behavior and system guidelines
</li><li>Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines
</li></ul>Who You Are
<ul><li>You hold a PhD in Engineering or a closely related field
</li><li>You have deep expertise in one or more of the following sub-domains:
<ul><li>Mechanical &amp; Physical Systems Engineering
</li><li>Electrical, Electronic &amp; Computer Engineering
</li><li>Chemical, Materials &amp; Process Engineering
</li><li>Civil, Environmental &amp; Infrastructure Engineering
</li></ul></li><li>You have significant experience using large language models (LLMs) and understand how and why people use them
</li><li>You have excellent writing skills and can clearly explain complex engineering concepts
</li><li>You have strong attention to detail and consistently notice subtle issues others may overlook
</li><li>Experience reviewing or editing technical or academic writing
</li></ul>Nice-to-Have Specialties
<ul><li>Experience with applied research, industry engineering workflows, or systems design
</li><li>Prior experience with RLHF, model evaluation, or data annotation work
</li><li>Experience teaching, mentoring, or explaining engineering concepts to non-expert audiences
</li><li>Familiarity with evaluation rubrics, benchmarks, or structured review frameworks
</li></ul>What Success Looks Like
<ul><li>You identify technical inaccuracies, flawed assumptions, or incomplete reasoning in engineering-related model outputs
</li><li>Your feedback improves the rigor, clarity, and correctness of AI explanations
</li><li>You deliver consistent, reproducible evaluation artifacts that strengthen model performance</li></ul></div>

Computer Science Engineer (PhD) - Remote

Chemical Materials & Process Engineer (PhD) - Remote

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