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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)

KAUST (King Abdullah University of Science and Technology)

<div>
 
 
 About the Role
 
 
 
 
 
 
 The AI/ML Support Automation Analyst will be a key member of the KSL AI Support Team, focusing on MLOps infrastructure, container orchestration, and workflow automation at a supercomputing scale.
 
 
 This role is responsible for developing and maintaining secure, OCI-compliant container images, robust CI/CD pipelines, and cloud-native MLOps workflows that enable researchers to efficiently deploy and manage AI/ML workloads. The Analyst will bridge the gap between cutting-edge Kubernetes-based infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 MLOps and Container Development
 
 
 <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>
 Develop and maintain secure, OCI-compliant, and HPC-ready AI/ML and data science software container images.
 </li>
 <li>
 Design and implement robust MLOps workflows and pipelines at supercomputing scale.
 </li>
 <li>
 Develop and maintain CI/CD pipelines for reproducible infrastructure and workflow deployment.
 </li>
 <li>
 Design and deploy APIs for AI/ML services and inference endpoints.
 </li>
 <li>
 Implement and manage Kubernetes-based orchestration, including CNI, CSI, and service mesh configurations and optimization.
 </li>
 <li>
 Deploy and maintain container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry).
 </li>
 </ul>
 
 
 
 
 
 Governance and Compliance Support
 
 
 <ul>
 <li>
 Assist in computational readiness reviews for AI research projects.
 </li>
 <li>
 Assist in AI model and artifact control reviews to ensure compliance with institutional standards.
 </li>
 <li>
 Provide consultation to users on efficient resource usage for AI/ML and MLOps workflows.
 </li>
 <li>
 Ensure container images and workflows comply with security policies and best practices.
 </li>
 <li>
 Support the implementation of usage monitoring and reporting systems.
 </li>
 </ul>
 
 
 
 
 
 Performance and Benchmarking
 
 
 <ul>
 <li>
 Perform performance debugging and tuning of MLOps and cloud-native workflows.
 </li>
 <li>
 Develop and maintain AI/ML and MLOps workload benchmarks for procuring new systems.
 </li>
 <li>
 Create and maintain regression testing workloads for existing clusters.
 </li>
 <li>
 Deploy and maintain observability and resource monitoring stacks using Prometheus, Grafana, NVIDIA DCGM, and Grafana Loki.
 </li>
 <li>
 Contribute to technology evaluation and benchmarking exercises for future infrastructure investments.
 </li>
 </ul>
 
 
 
 
 
 Training and Documentation
 
 
 <ul>
 <li>
 Create comprehensive training content for users on MLOps platforms, Kubernetes, and containerization.
 </li>
 <li>
 Develop and maintain high-quality user documentation for automation tools and workflows.
 </li>
 <li>
 Support the delivery of workshops on CI/CD, container orchestration, and MLOps best practices.
 </li>
 <li>
 Contribute to knowledge transfer initiatives within the KAUST research community.
 </li>
 <li>
 Provide one-on-one consultation to researchers on efficient use of automation infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or master&rsquo;s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), CKS (Certified Kubernetes Security Specialist), or CNPE (Certified Cloud Native Platform Engineer) are highly valued.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Demonstrated experience developing robust and complex MLOps pipelines.
 </li>
 <li>
 Hands-on experience with API design and deployment.
 </li>
 <li>
 Experience developing robust and portable CI/CD pipelines for reproducible infrastructure and workflow deployment.
 </li>
 <li>
 Experience supporting researchers or working in academic/research computing settings preferred.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills - Essential
 
 
 <ul>
 <li>
 Kubernetes: Strong expertise in Kubernetes, Container Network Interface (CNI), Container Storage Interface (CSI), and Service Mesh.
 </li>
 <li>
 MLOps: Experience developing and maintaining MLOps pipelines and workflows.
 </li>
 <li>
 CI/CD: Proficiency in building CI/CD pipelines for infrastructure and application deployment.
 </li>
 <li>
 Containerization: Experience building secure, OCI-compliant container images.
 </li>
 <li>
 API Development: Experience in API design, development, and deployment.
 </li>
 <li>
 Programming: Proficiency in Python; experience with Go, Bash scripting.
 </li>
 <li>
 Linux: Strong Linux/Unix systems administration skills.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills - Desired
 
 
 <ul>
 <li>
 Experience with ArgoCD, Airflow, DASK, Spark for workflow orchestration.
 </li>
 <li>
 Experience with Kubeflow, KServe, and Seldon for ML serving and pipelines.
 </li>
 <li>
 Experience deploying and maintaining observability stacks (Prometheus, Grafana, NVIDIA DCGM, Grafana Loki).
 </li>
 <li>
 Knowledge of Model Context Protocol (MCP) and agentic frameworks.
 </li>
 <li>
 Experience deploying inference services at scale.
 </li>
 <li>
 Experience deploying and maintaining container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry, Artifact Hub).
 </li>
 <li>
 Experience with GitOps practices and Infrastructure as Code (Terraform, Ansible).
 </li>
 <li>
 Experience with HPC schedulers (SLURM) and HPC-cloud integration.
 </li>
 </ul>
 
 
</div>

AI/ML Support Automation Analyst

<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><div></div> 
What you&rsquo;ll build: 
This role is for a developer who builds AI solutions that reach production and operate reliably in enterprise environments. You will work with AI architects and data engineers within a growing AI practice. You will design and implement AI applications, agent-based workflows, and integrations across SAP landscapes, working from solution design through to deployment. 
What you bring: 
<ul><li>
3&ndash;5 years in software engineering, AI development, or equivalent experience delivering AI or data-driven solutions used in real environments.</li><li>
Experience building AI applications such as LLM-based solutions, RAG pipelines, or intelligent automation workflows. Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar tools.</li><li>
Experience developing applications using languages commonly used in AI development. Python experience is strongly recommended. Experience with APIs, microservices, and containerisation is beneficial.</li><li>
Exposure to SAP BTP or similar enterprise cloud platforms is beneficial and will be developed on the job. /
Deep SAP platform knowledge is valuable but not the gating factor.</li></ul> 
What Success Looks Like<ul><li><div><ul><li>
AI applications operate reliably in production environments.</li><li>
Agent-based workflows support real business processes.</li><li>
Code and components are reusable across projects.</li><li>
Architecture transitions smoothly into implementation.</li><li>
Customers actively use the AI capabilities delivered.</li></ul></div></li></ul> 
Where you belong: 
AI Application Development (core focus):<ul><li><div><ul><li>
Build and deploy production-grade AI applications.</li><li>
Activate SAP Business AI capabilities and extend them with custom AI solutions where needed.</li><li>
Implement ML, GenAI, and RAG workflows for enterprise use cases.</li><li>
Containerise and deploy AI services using Docker or similar technologies.</li><li>
Build reusable AI components and accelerators.</li></ul></div></li></ul>
Agent-Based AI Development:<ul><li><div><ul><li>
Design and implement agent-based AI workflows.</li><li>
Implement orchestration patterns for multi-step or multi-agent scenarios, including MCP where relevant.</li><li>
Apply prompt engineering techniques to improve reliability and performance of LLM-based solutions.</li><li>
Evaluate and integrate open-source and proprietary LLMs.</li></ul></div></li></ul>
SAP Platform Integration:<ul><li><div><ul><li>
Integrate AI services with SAP BTP and SAP applications.</li><li>
Connect AI solutions with enterprise data platforms and cloud environments where required.</li></ul></div></li></ul>
Engineering and Model Lifecycle:<ul><li><div><ul><li>
Implement pipelines supporting testing, deployment, and operation of AI services.</li><li>
Contribute to monitoring, versioning, and lifecycle management of AI solutions.</li><li>
Maintain clean, maintainable code and documentation.</li></ul></div></li></ul><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: 448415 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 90% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</div>

AI Developer (One-Year Fixed Term contract)

SkillersZone LLC

<div>
 We are seeking aAdministrative Customer Virtual Entry-Level Admin Assistant to support our customers and internal teams across the
 
 (MENA)
 
 region. This role combines front-line customer support with strong administrative coordination to ensure smooth day-to-day operations, accurate documentation, and timely resolution of customer inquiries. The ideal candidate is service-minded, detail-oriented, organized, and comfortable working in a multicultural, multilingual environment.
 
 
 You will serve as a key point of contact for customers via phone, email, chat, and messaging platforms, while also handling administrative tasks such as data entry, filing, appointment scheduling, reporting, and coordination with logistics, finance, sales, and technical teams. This role requires excellent communication skills, professionalism, discretion with sensitive information, and the ability to manage multiple priorities with a calm, solutions-focused approach.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Customer Service (Primary)
 </li>
 <li>
 Respond promptly and professionally to customer inquiries through multiple channels (phone, email, chat, WhatsApp/other messaging tools where applicable)
 </li>
 <li>
 Provide accurate information on products/services, pricing, availability, delivery timelines, warranties, return policies, and general support procedures
 </li>
 <li>
 Resolve complaints and service issues with empathy, patience, and clear follow-through, escalating complex cases to the appropriate department when needed
 </li>
 <li>
 Track and manage customer requests from first contact to closure, ensuring timely updates and adherence to service-level expectations
 </li>
 <li>
 Maintain a positive customer experience by demonstrating cultural awareness, courteous language, and appropriate communication etiquette across MENA markets
 </li>
 <li>
 Collect customer feedback and share insights with supervisors to improve service quality, processes, and recurring issue resolution
 </li>
 <li>
 Administrative Support (Core)
 </li>
 <li>
 Maintain accurate customer records, case notes, and service history in CRM/ERP systems, ensuring data quality and compliance
 </li>
 <li>
 Prepare and update documentation such as order forms, service tickets, delivery notes, customer correspondence, and internal reports
 </li>
 <li>
 Coordinate appointments, service visits, call-backs, and follow-ups; manage calendars and scheduling across teams
 </li>
 <li>
 Support internal workflows including filing, scanning, archiving, and organizing digital documents in shared drives/systems
 </li>
 <li>
 Assist with invoice queries and basic finance coordination (e.g., payment status checks, forwarding documents, confirming billing details) in collaboration with the finance team
 </li>
 <li>
 Generate weekly/monthly customer service summaries (e.g., volume of requests, resolution time, common issues, customer satisfaction inputs)
 </li>
 <li>
 Cross-Functional Coordination
 </li>
 <li>
 Liaise with operations, logistics, and warehouse teams to track deliveries, handle delays, and communicate updates to customers clearly
 </li>
 <li>
 Work closely with sales teams to support customer onboarding, account updates, and post-sales coordination
 </li>
 <li>
 Collaborate with technical support (if applicable) to ensure accurate troubleshooting, scheduling, and customer guidance
 </li>
 <li>
 </li>
 <li>
 </li>
 <li>
 Communicate consistently across different countries/time zones within MENA, ensuring handovers and continuity for ongoing cases
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 High school diploma required; Bachelor&rsquo;s degree or diploma
 </li>
 <li>
 Basic of experience in customer service, administrative support, call center operations, hospitality, retail support, or a similar customer-facing role (MENA experience is a strong advantage)
 </li>
 <li>
 Proficiency with common office tools (Microsoft Office/Google Workspace), especially Excel/Sheets, email management, and document formatting
 </li>
 <li>
 Experience using CRM systems
 
 
 
 
 </li>
 </ul>
 
 Language Requirements (MENA-Focused)
 
 
 
 <ul>
 <li>
 Basic Arabic (spoken and written) is preferred for most MENA markets
 </li>
 <li>
 Basic English (spoken and written)
 
 
 
 
 </li>
 </ul>
 
 Skills And Competencies
 
 
 
 <ul>
 <li>
 Strong customer-first mindset with the ability to remain calm and professional under pressure
 </li>
 <li>
 Excellent verbal and written communication with clear, polite, and solution-oriented messaging
 </li>
 <li>
 Strong attention to detail and accuracy in documentation, data entry, and record-keeping
 </li>
 <li>
 Ability to prioritize tasks, manage multiple tickets, and meet deadlines in a fast-paced environment
 </li>
 <li>
 Problem-solving capability: identify root causes, propose solutions, and escalate effectively when needed
 </li>
 <li>
 High integrity and discretion when handling confidential customer and company information
 </li>
 <li>
 Cultural sensitivity and awareness of customer expectations across different MENA countries
 
 
 
 
 </li>
 </ul>
 
 Working Conditions and Schedule
 
 
 
 
 <ul>
 <li>
 Role may be office-based, hybrid, or remote depending on business needs and country regulations
 </li>
 <li>
 Typical working weeks in parts of MENA may follow , with flexibility required during peak periods.
 </li>
 <li>
 </li>
 <li>
 </li>
 <li>
 Some roles may require occasional coordination outside standard hours to support customers in different time zones or manage urgent cases
 
 
 
 
 </li>
 </ul>
 
 Performance Indicators (KPIs)
 
 
 
 Success in this role is commonly measured by:
 
 
 First response time and overall resolution time
 
 
 Quality and accuracy of case documentation
 
 
 Customer satisfaction feedback (CSAT) and complaint handling quality
 
 
 Ticket backlog management and follow-up consistency
 
 
 Adherence to policies, scripts/processes, and service standards
 
 
 Administrative accuracy (data quality, report timeliness, document compliance)
 
 
 
 Career Growth Opportunities
 
 
 
 This role offers clear development pathways, depending on performance and interest, including:
 
 
 Senior Customer Service Representative / Team Lead
 
 
 Customer Experience (CX) Specialist
 
 
 Office Administrator / Operations Coordinator
 
 
 Sales Support / Account Coordinator
 
 
 Quality Assurance (QA) or Training Specialist
 
 
 
 Equal Opportunity Statement
 
 
 
 We are committed to creating an inclusive workplace that respects diversity across the MENA region. All qualified applicants will be considered without discrimination based on nationality, gender, age, disability, or any other protected status in line with applicable local laws.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Administrative Customer Virtual Entry-Level Admin Assistant (copy)

Globant

<div>At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation. 
 
 
We are seeking a Senior AI Engineer who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized, intelligent digital experiences. 
 
 
<h3 class="jobSectionHeader">You will get the chance to:
</h3><ul><li>Design, develop, and enhance an AI-powered chatbot for a national tourism platform
</li><li>Integrate and deploy open-source LLMs within secure private cloud environments
</li><li>Build and maintain scalable Python backend services powering AI-driven interactions
</li><li>Design and implement agentic workflows, including tool integration, context retrieval, database querying, and external API communication
</li><li>Optimize model performance, latency, and scalability across GPU environments
</li><li>Integrate AI solutions with Azure AI services and existing platform infrastructure
</li>Monitor and continuously improve system performance using LLM evaluation techniques and other optimization methods 
<li>
 
 
</li></ul><h3 class="jobSectionHeader">What will help you succeed:
</h3><ul><li>Strong experience in AI engineering, particularly with Large Language Models (LLMs)
</li><li>Hands-on experience with open-source frameworks (e.g., Hugging Face Transformers)
</li><li>Proven experience deploying AI models on GPU infrastructure
</li><li>Solid Python backend development experience for AI services and APIs
</li><li>Familiarity with LLM engineering patterns such as tool calling, structured outputs, retrieval systems, and streaming responses
</li><li>Experience building real-time chat systems using HTTP streaming (SSE or similar)
</li><li>Experience integrating AI systems with databases, APIs, and external services to enable agentic behavior and decision-making
</li><li>Familiarity with Azure cloud services, particularly Azure AI or related infrastructure
</li>Understanding of model optimization techniques (e.g., quantization, inference performance, scaling) 
<li>
 
 
</li></ul><h3 class="jobSectionHeader">Nice to have:
</h3><ul><li>Familiarity with frontend technologies such as React or Next.js
</li>Experience developing chat interfaces 
<li>
 
 
</li></ul><h3 class="jobSectionHeader">Soft skills:
</h3><ul><li>Strong problem-solving and system design mindset
</li><li>Collaborative approach with the ability to work across teams while also delivering independently
</li><li>Clear communication with both technical and non-technical stakeholders
</li><li>High level of ownership and accountability
</li>Focus on building reliable, production-grade AI systems 
<li>
 
 
</li></ul>Location: Remote 
 
 
Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively. 
 
 
 
We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package.</div>

AI Engineer, Sr

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