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artificial intelligence specialist

<div>
 
 About VML
 
 
 
 VML is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestl&eacute;, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave&trade; Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement &amp; Optimization. In addition, VML&rsquo;s specialist health network, VML Health, is one of the world&rsquo;s largest and most awarded health agencies. VML&rsquo;s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, S&atilde;o Paulo, Shanghai, Singapore, and Sydney.
 
 
 VML is a WPP agency (NYSE: WPP). For more information, please visit  www.vml.com, and follow along on Instagram, LinkedIn, and X.
 
 
 
 Who we&rsquo;re looking for:
 
 We are seeking an experienced AI/ML Engineer with a minimum of 5 years of expertise to join our innovative technology team. In this pivotal role, you will be responsible for designing, training, and optimizing AI models, with a strong focus on Natural Language Processing (NLP) for real-time content summarization, recommendation, and conversational UIs. You will implement cutting-edge techniques like Retrieval-Augmented Generation (RAG) and fine-tune transformer-based models, collaborating closely with backend and data engineering teams to ensure seamless deployment and maintenance of brand tone and content accuracy in all AI outputs.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Design, train, and optimize AI models specifically for real-time content summarization and recommendation.
 </li>
 <li>
 Implement advanced Natural Language Processing (NLP) techniques to enhance conversational UI and predictive interactions.
 </li>
 <li>
 Apply Retrieval-Augmented Generation (RAG) for intelligent response generation from dynamic content sources.
 </li>
 <li>
 Fine-tune transformer-based models (e.g., BERT, T5) using domain-specific datasets to achieve optimal performance.
 </li>
 <li>
 Collaborate closely with backend and data engineering teams to streamline model deployment within a production-grade environment.
 </li>
 <li>
 Ensure that brand tone and content accuracy are meticulously maintained throughout all AI-generated outputs.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
 </li>
 <li>
 5&ndash;7 years of progressive experience in AI/ML engineering, with a strong and proven focus on Natural Language Processing (NLP).
 </li>
 <li>
 Strong practical experience with leading Machine Learning frameworks such as TensorFlow, PyTorch, and Hugging Face.
 </li>
 <li>
 Experience with LangChain and LangGraph.
 </li>
 <li>
 Experience with MLOps pipelines and platforms like AWS SageMaker, Azure AI Search, or similar.
 </li>
 <li>
 Solid understanding of Large Language Models (LLMs), embeddings, and semantic search technologies.
 </li>
 <li>
 Expert proficiency in Python and robust data handling libraries such as Pandas and NumPy.
 </li>
 <li>
 Familiarity with deploying AI models via microservices or APIs.
 </li>
 <li>
 Preferred Qualifications:
 </li>
 <li>
 Understanding of branding, tone, and the user experience (UX) implications in AI-generated content.
 </li>
 <li>
 Experience working with headless CMS (Content Management Systems) and structured content datasets.
 </li>
 <li>
 Knowledge of ethical AI principles and prompt engineering best practices.
 
 
 </li>
 </ul>
 
 Additional Competencies
 
 
 
 <ul>
 <li>
 AI/ML Engineering
 </li>
 <li>
 Natural Language Processing (NLP)
 </li>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 MLOps &amp; Deployment
 </li>
 <li>
 Python &amp; Data Science
 </li>
 <li>
 Transformer Models
 </li>
 <li>
 Content Summarization &amp; Recommendation
 </li>
 <li>
 Brand &amp; Content Integrity
 
 
 </li>
 </ul>
 We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we&rsquo;ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
 
 
 WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
 
 
 When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
</div>

AI/ML Engineer

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 Excited to grow your career?
 
 
 
 At Valeo, we value our talented employees, and whenever possible we strive to help our associates grow professionally before considering external recruitment.
 
 
 If you think this open position is an opportunity for you, we encourage you to apply!
 
 
 
 Mission
 
 
 
 AI4ALL is at the heart of Valeo&rsquo;s digital transformation.
 
 
 As a Product Owner in AI4ALL, you are not just managing a product &mdash; you are leading the transformation of a Valeo department or discipline through the power of generative AI.
 
 
 You will drive your assigned department&rsquo;s AI transformation journey, overseeing its use cases, work packages, and process evolution.
 
 
 You will learn deeply about this department &mdash; its workflows, challenges, and improvement areas &mdash; and act as the owner of its digital change, ensuring that every AI tool you help deliver truly impacts how people work.
 
 
 You will also listen to feedback from the floor, capture user pain points, and continuously enhance the developed tools to make their needs come to life.
 
 
 Your mission is to bridge technology and people, ensuring AI adoption is both meaningful and sustainable.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the AI transformation of a Valeo discipline or department together with the Product Manager.
 </li>
 <li>
 Own and prioritize the product backlog, ensuring that user stories and features align with business priorities.
 </li>
 <li>
 Define clear and detailed user stories, including acceptance criteria, for development teams.
 </li>
 <li>
 Collaborate and contribute to the Vision and Roadmap
 </li>
 <li>
 Collaborate with stakeholders to ensure alignment between business goals and development priorities.
 </li>
 <li>
 Contribute to release planning, coordinating with development teams to deliver product increments.
 </li>
 <li>
 Work closely with quality assurance and teams to ensure that user stories are thoroughly tested.
 </li>
 <li>
 Identify and manage risks related to development and delivery timelines.
 </li>
 <li>
 Collaborate with technical teams to understand and communicate technical requirements effectively.
 </li>
 <li>
 Autonomously supporting the Team in Delivering product of Value
 </li>
 <li>
 Achieve Business/Customer objectives and Product Improvement roadmap
 </li>
 <li>
 Promote a culture of innovation and encourage teams to embrace AI-driven workflows.
 
 
 </li>
 </ul>
 
 
 E
 
 
 
 ducation/Training
 
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 
 
 
 
 Professional Experience
 
 
 
 
 Technical Experience
 
 
 
 <ul>
 <li>
 Several years of hands-on software development experience
 </li>
 <li>
 Knowledge of Artificial Intelligence concepts
 </li>
 <li>
 Proven ability to lead transformation or digitalization projects
 </li>
 <li>
 Familiarity with prompt engineering and generative AI use cases
 </li>
 <li>
 Understanding of agile development methodologies (Scrum, Kanban, etc.)
 </li>
 <li>
 A good understanding of business principles and the ability to align product goals with overall business objectives.
 </li>
 <li>
 A fundamental understanding of software development with experience in coding, debugging, and understanding the software development life cycle.
 </li>
 <li>
 Exposure to create clear and concise requirements documentation, user stories, and acceptance criteria.
 </li>
 <li>
 Ability to analyze data, user feedback, and market trends to inform product decisions.
 </li>
 <li>
 User-Centric Mindset, Focus on understanding and representing user needs in product development.
 </li>
 <li>
 Knowledge or hands-on development experience with cloud platforms (GCP, AWS, or Azure) is a plus
 </li>
 <li>
 Familiarity with UX/UI design principles is a plus
 
 
 </li>
 </ul>
 
 Interpersonal Skills
 
 
 
 <ul>
 <li>
 Strong communication skills to effectively convey product vision, requirements, and updates to development teams and stakeholders.
 </li>
 <li>
 Strong stakeholder management skills &mdash; able to align diverse teams, gather input, resolve conflicts, and ensure clear communication across all levels.
 </li>
 <li>
 Ability to work collaboratively with cross-functional teams, including developers, architects, and Quality Assurance.
 </li>
 <li>
 Flexibility to adapt to changing priorities, requirements, and evolving project dynamics.
 </li>
 <li>
 Understanding how to gather and interpret customer feedback to improve the product.
 </li>
 <li>
 Basic knowledge of prototyping tools and Presentations to visualize and communicate product features.
 </li>
 <li>
 Demonstrating leadership potential and the ability to take ownership of tasks.
 </li>
 <li>
 French language proficiency is a plus
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2024-03-07
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Product Owner, AI4ALL

Bosta

<div>
 About Bosta:
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions.
 
 
 About The Role:
 
 
 Job Code:
 
 
 2026PEOP-176
 
 
 We are seeking a detail-oriented Hub Administration specialist. They will play a vital role in supporting the HR And operation teams by managing part of payroll reporting, tracking employee attendance, and maintaining records of employee adherence. This position is also responsible for onboarding new hires and enhancing employee retention strategies. Additionally, the specialist will oversee vendor performance and coordinate transportation logistics to ensure smooth operational processes.
 
 
 
 What you&rsquo;ll be doing:
 
 
 
 <ul>
 <li>
 Monitor and track employee attendance records, ensuring accuracy and compliance
 </li>
 <li>
 Maintain comprehensive records of employee adherence to company policies and attendance guidelines
 </li>
 <li>
 Coordinate the onboarding process for new employees, ensuring a smooth transition into the company
 </li>
 <li>
 Support employee retention strategies by gathering feedback and assisting in the implementation of engagement programs
 </li>
 <li>
 Manage and coordinate transportation lines for employees, ensuring timely and efficient service
 </li>
 <li>
 Collaborate with the HR operations team to ensure payroll compliance with company policies and regulations
 
 
 
 </li>
 </ul>
 
 Who are you?
 
 
 
 <ul>
 <li>
 1-3 years of experience, preferably in the shipping or e-commerce field
 </li>
 <li>
 Strong communication skills, both written and verbal
 </li>
 <li>
 Excellent organizational skills and attention to detail
 </li>
 <li>
 Decision-making and problem-solving skills
 </li>
 <li>
 Analytical and reporting skills
 
 
 
 </li>
 </ul>
 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>

Supply Acquisition Specialist

Lucidya | لوسيديا

<div>
 
 About Lucidya
 
 
 
 Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.
 
 
 We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.
 
 
 
 Role Overview
 
 
 
 As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.
 
 
 This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.
 
 
 You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value
 
 
 What You'll Do
 
 
 
 AI &amp; Agent Development
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI Agents
 </li>
 <li>
 Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
 </li>
 <li>
 Research and optimise the way we do things
 </li>
 <li>
 Contribute to the development of the Lucidya AI Agent platform
 
 
 </li>
 </ul>
 
 Production &amp; Scalability
 
 
 
 <ul>
 <li>
 Deploy AI models into production environments with a focus on scalability, performance, and reliability
 </li>
 <li>
 Collaborate on MLOps practices to support continuous integration, monitoring, and improvement
 </li>
 <li>
 Ensure AI systems integrate smoothly with existing platforms and workflows
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with software engineers, product managers, and domain experts
 </li>
 <li>
 Translate business problems into effective AI solutions with measurable outcomes
 </li>
 <li>
 Contribute to solution design for enterprise solutions and long-term deployments
 
 
 </li>
 </ul>
 
 Governance &amp; Quality
 
 
 
 <ul>
 <li>
 Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations
 </li>
 <li>
 Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders
 </li>
 <li>
 Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n
 </li>
 <li>
 Strong programming skills in Python (Java is a plus)
 </li>
 <li>
 Hands-on experience with machine learning and deep learning techniques
 </li>
 <li>
 Practical experience using TensorFlow, OpenAISDK or similar frameworks
 </li>
 <li>
 Experience deploying AI models into production or production-like environments
 </li>
 <li>
 Strong understanding of AI evals and guardrails
 
 
 </li>
 </ul>
 
 Problem-Solving &amp; Mindset
 
 
 
 <ul>
 <li>
 Ability to analyze complex problems and design innovative AI-driven solutions
 </li>
 <li>
 Strong systems thinking, understanding how models behave in real-world environments
 </li>
 <li>
 Curiosity and commitment to continuous learning in a fast-evolving AI landscape
 </li>
 <li>
 Proactivity is key - not just a task doer
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Comfortable working in cross-functional, product-driven teams
 </li>
 <li>
 Able to clearly document and explain technical concepts to diverse stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NLP, conversational AI, or agent-based systems
 </li>
 <li>
 Exposure to enterprise AI deployments or SaaS platforms
 </li>
 <li>
 Familiarity with MLOps, monitoring, and model lifecycle management
 </li>
 <li>
 Experience working with multilingual or Arabic language data
 
 
 </li>
 </ul>
 
 Why Join Lucidya's AI Agents Team?
 
 
 
 <ul>
 <li>
 Work on real, enterprise-grade AI agents, not just experiments
 </li>
 <li>
 Shape a new business unit from the ground up
 </li>
 <li>
 Solve meaningful CX and operational challenges across the MENA region
 </li>
 <li>
 Collaborate with a highly skilled AI, data, and product team
 </li>
 <li>
 Build AI that is responsible, scalable, and impactful
 </li>
 </ul>
</div>

AI Engineer (mid-level/senior)

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

Innodata Inc.

<div>
 
 Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
 
 
 By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
 
 
 
 
 
 
 
 
 Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany
 
 
 
 
 
 
 Job Titl
 
 e: AI Trainer
 
 
 
 Role Typ
 
 e: Freelance
 
 
 
 Work Mod
 
 e: Remote
 
 
 
 Payment Structur
 
 e: Hourly-based (paid upon successful task completion on monthly basi
 
 
 
 Project Duratio
 
 n: Short term project
 
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 
 We are seeking a detail-oriented and analyt
 
 ical AI Tr
 
 ainer to support the development, training, and improvement of artificial intelligence models. The role involves creating, reviewing, and evaluating data such as text, questions &amp; answers, prompts, and model outputs to ensure accuracy, relevance, and quality aligned with project guidelines.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Create, curate, and annotate high-quality training data for AI/LLM models
 </li>
 <li>
 Develop and va
 
 lidate questions, answers, prompts, and expla
 
 nations based on defined guidelines
 </li>
 <li>
 Review and evaluate AI-generated outputs for accuracy, logic, relevance, and compliance
 </li>
 <li>
 Identify errors, biases, or inconsistencies in model responses and provide corrective feedback
 </li>
 <li>
 Follow project-specific quality standards, formatting rules, and timelines
 </li>
 <li>
 Perform quality checks and revisions based on QA/client feedback
 </li>
 <li>
 Maintain confidentiality and data security throughout the project lifecycle
 </li>
 <li>
 Collaborate with QA teams, reviewers, and project managers as required
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in a relevant field (Education, Engineering, Science, Humanities, or related domains)
 </li>
 <li>
 Strong written communication skills in EnglishExcellent analytical, logical reasoning, and problem-solving abilities.
 </li>
 <li>
 Ability to follow detailed instructions and structured formatsBasic understanding of AI, machine learning, or large language models (preferred, not
 
 
 mandatory)
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 Experience in data annotation, content creation, QA, or training roles
 </li>
 <li>
 Familiarity with AI tools, annotation platforms, or content management systems
 </li>
 <li>
 Subject-matter expertise in one or more domains (e.g., Math, Science, Coding, Language, Finance, etc.)
 </li>
 </ul>
 
 
 
 
 Also you need to go through two assessments,so kindly apply only if you will be available for the assessment and ready to collaborate for the project.
 
</div>

AI Trainer - Arabic

Nextcare

<div>
 The Field Doctor Lead is responsible for conducting on-site hospital visits to medically assess inpatient cases and evaluate the clinical justification for admissions and admission extensions. The role focuses on ensuring medical necessity, optimizing length of stay, supporting timely and safe discharges, and generating measurable cost savings for the TPA and its clients.
 
 
 
 What You Do
 
 
 
 Clinical Review &amp; Case Assessment
 
 
 <ul>
 <li>
 Review inpatient cases extracted from the system according to defined roving and case selection criteria.
 </li>
 <li>
 Conduct on-site hospital visits to assess the medical necessity of admissions and requested extensions of stay.
 </li>
 <li>
 Evaluate diagnosis, treatment plans, investigations, progress notes, and clinical outcomes against medical guidelines and policy coverage.
 </li>
 <li>
 Determine whether continued hospitalization is clinically justified or if alternative care or discharge is appropriate.
 
 
 </li>
 </ul>
 Hospital Coordination &amp; Communication
 
 
 <ul>
 <li>
 Liaise professionally with treating physicians, nursing staff, and hospital administration to discuss case status and recommendations.
 </li>
 <li>
 Provide clear, evidence-based medical opinions while maintaining positive provider relationships.
 </li>
 <li>
 Support alignment between clinical best practice, policy terms, and cost-effective care.
 
 
 </li>
 </ul>
 Reporting &amp; Documentation
 
 
 <ul>
 <li>
 Prepare and submit comprehensive medical roving reports, including findings, recommendations, and outcomes.
 </li>
 <li>
 Clearly document decisions related to admission continuation, discharge, or alternative management plans.
 </li>
 <li>
 Ensure accurate, timely, and complete documentation in line with internal policies and regulatory requirements.
 
 
 </li>
 </ul>
 Discharge Optimization &amp; Cost Containment .
 
 
 <ul>
 <li>
 Actively contribute to early and appropriate discharge planning where clinically safe.
 </li>
 <li>
 Recommend step-down care, outpatient management, or home care when applicable.
 </li>
 <li>
 Track and calculate roving savings according to specific criteria.
 
 
 </li>
 </ul>
 
 AI READINESS
 
 Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.
 
 
 
 What You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s of Medicine (MBBS);
 </li>
 <li>
 3+ years medical practical experience (reputable insurance provider, broker or a TPA experience a plus).
 </li>
 <li>
 Knowledge of overall insurance industry practices is a plus.
 </li>
 <li>
 Legally permitted to work in the country of operations.
 </li>
 <li>
 Physically fit to carry out duties.
 </li>
 <li>
 Fluency in MS Office (Excel, Word, Outlook, PowerPoint) and general internet navigation and research skills.
 
 
 </li>
 </ul>
 
 How We Hire
 
 
 
 
 
 Agency Statement
 
 Allianz Partners does not accept unsolicited CV&rsquo;s or approaches from agencies. We only work with partners on our approved supplier list, under
 
 
 contract. Any unsolicited submission will not be considered
 
 
 
 
 Key Benefits/What We Offer
 
 
 
 Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance. Our products are embedded seamlessly into our partners&rsquo; businesses or sold directly to customers, and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care.
 
 
 At Allianz Partners, Artificial Intelligence (AI) is transforming service delivery and innovation. By leveraging Business Intelligence and Data Analytics, we enhance strategic decision-making and customer experiences. Our commitment to Ethical AI ensures responsible deployment, maintaining data integrity and trust. Conversational AI improves communication, while Emerging Technologies and Generative AI drive industry leadership and new opportunities. With robust Information Security Management, we protect sensitive information, ensuring compliance and security. Embrace the future of AI with Allianz Partners, where possibilities become realities.
 
 
 89859 | Customer Services &amp; Claims | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent
 
 
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 
 Great to have you on board.
 
 Let's care for tomorrow.
 
 
 Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz&lsquo; company culture. One means to achieve this is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
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