وظائف أخصائى تخاطب في مصر

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>To be added Moderation system monitoring Blocking users who violate the rules of the service Removing inappropriate content (Adult Nudity, Illegal Goods, Bullying, Harassment, Hate Speech, etc.) Keeping track of inappropriate orders in Google Sheets as required Compiling a list of words for censorship Conducting labeling of various datasets Other relevant tasks as required</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Urdu Language: Native</li><li>English: B1 (preferable)</li><li>PC knowledge: confident user</li><li>Strong cultural background</li></ul><p></p></section>

Role Overview<br><br>We are looking for a Mid-Level AI Engineer with hands-on experience in Natural Language Processing, LLM-based applications, RAG, and speech/voice technologies. The engineer will help design, build, evaluate, and deploy AI-powered solutions for education, automation, content operations, and user engagement.<br><br>This role is important for the Fahem roadmap and the wider AI layer across the eyouth learning journey,<br><br>including in-course tutoring, transcription, quiz generation, Arabic AI capabilities, and trainer evaluation.<br><br>Key Responsibilities<br><br> Design and develop AI applications using LLMs, NLP techniques, and production-ready Python services. Build conversational AI systems, chatbots, AI assistants, and education-focused copilots. Develop and optimize voice AI pipelines, including Speech-to-Text, Text-to-Speech, and voice interaction<br><br>flows.<br><br> Implement Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases,<br><br>and approved knowledge sources.<br><br> Fine-tune, evaluate, and monitor language models for production use cases where appropriate. Build REST APIs and scalable backend services for AI-powered features. Integrate Open AI APIs, Hugging Face models, Lang Chain/Llama Index, and other AI services. Work on Arabic NLP use cases, including Arabic content understanding, dialect handling, and learner<br><br>support.<br><br> Collaborate with product, backend, frontend, data, and training teams to deliver AI-driven features. Monitor AI quality, latency, cost, hallucination risk, and reliability in production.<br><br>Requirements And Qualifications<br><br> 2-3 years of hands-on experience in AI, ML, NLP, or LLM application development. Strong Python experience and ability to build clean, maintainable services. Hands-on experience with NLP and LLM frameworks. Knowledge of Arabic NLP and Arabic language use cases. Experience with Open AI APIs, Lang Chain or Llama Index, and Hugging Face Transformers. Good understanding of prompt engineering, RAG systems, embeddings, and retrieval evaluation. Experience with vector databases such as Pinecone, Weaviate, Chroma DB, or similar. Familiarity with REST APIs, backend development, and Git-based collaboration. Practical experience with Voice AI, including STT, TTS, or voice interaction workflows. Experience deploying AI systems on AWS, Azure, or GCP. Experience fine-tuning or evaluating open-source LLMs. Experience with AI observability, model evaluation, guardrails, and cost optimization. Experience in EdTech, learning platforms, tutoring systems, or Arabic content products.<br><br>If you meet the above requirements and are looking for a challenging and rewarding opportunity to join our team, please submit your resume to (careers@eyouthlearning.com) & mention the job title in the subject

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>To be added Moderation system monitoring Blocking users who violate the rules of the service Removing inappropriate content (Adult Nudity, Illegal Goods, Bullying, Harassment, Hate Speech, etc.) Keeping track of inappropriate orders in Google Sheets as required Compiling a list of words for censorship Conducting labeling of various datasets Other relevant tasks as required</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Urdu Language: Native English: B1 (preferable) PC knowledge: confident user Strong cultural background</p><p></p></section>

<p><strong>About the Role</strong></p><p><br></p><p>We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.</p><p><br></p><p><br></p><p><strong>Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.</li><li>Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.</li><li>Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.</li><li>Build clean, scalable, and maintainable backend services and APIs using Python.</li><li>Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).</li><li>Integrate conversational AI solutions with enterprise systems and third-party services.</li><li>Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.</li><li>Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.</li><li>Collaborate within an Agile development environment and mentor junior team members when needed.</li></ul><p><br></p><p><strong>Qualifications:</strong></p><p><br></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.</li><li>Strong hands-on experience with Python and software engineering best practices.</li><li>Proven experience developing conversational AI solutions using RASA.</li><li>Hands-on experience with Google Cloud Platform (GCP) services.</li><li>Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.</li><li>Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.</li><li>Proficiency with Git and collaborative software development workflows.</li><li>Excellent analytical, problem-solving, and communication skills.</li></ul><p><br></p><p><strong>Preferred Skills:</strong></p><p><br></p><ul><li>Experience with Docker and Kubernetes.</li><li>Knowledge of Terraform or other Infrastructure-as-Code tools.</li><li>Experience implementing CI/CD pipelines and MLOps workflows.</li><li>Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.</li></ul><p><br></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Education Mandatory: H Sc. &amp; Graduate in any discipline Desirable: Travel / Hospitality Industry Experience  Min 1 year prior work experience in a Domestic or International process Inbound  Should have prior experience of taking calls  Excellent call management skills  Handle irate customers Outbound  Should ensure that the daily targets assigned are completed on time  Excellent real writing/verbal skills  Ensure adherence to daily activities assigned Sales  Should have prior experience of working in a Sales process  Should be keen on meeting daily targets  Should be self-motivated Language  Arabic Soft Skills:  Excellent communication skills to handle interactions  Be Fluent in speech  Create a WOW exp. for the customer (c-Sat)  Good typing speed  Meet deliver expectations as per defined KRA’s"<br></p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Education Mandatory: H Sc. &amp; Graduate in any discipline Desirable: Travel / Hospitality Industry Experience  Min 1 year prior work experience in a Domestic or International process Inbound  Should have prior experience of taking calls  Excellent call management skills  Handle irate customers Outbound  Should ensure that the daily targets assigned are completed on time  Excellent real writing/verbal skills  Ensure adherence to daily activities assigned Sales  Should have prior experience of working in a Sales process  Should be keen on meeting daily targets  Should be self-motivated Language  Arabic Soft Skills:  Excellent communication skills to handle interactions  Be Fluent in speech  Create a WOW exp. for the customer (c-Sat)  Good typing speed  Meet deliver expectations as per defined KRA’s</p><br><br> </div>

<p><strong>iBrokerage is a Canadian company specializing in online web application development with over 25 years of experience</strong>. Our innovative portals are designed to transform user experiences across various industries. We provide comprehensive tools and features that streamline operations, empower users, and elevate client engagement, making us a leader in delivering cutting-edge digital solutions.</p><p></p><p>We are looking for an <strong>AI &amp; API Integration Developer</strong> to design, develop, and integrate next-generation AI solutions into the iBrokerage platform. This role will focus on building intelligent, automated experiences across <strong>AI agents, AI avatars, voice, video, conversational AI, virtual assistants, document intelligence, and electronic signatures</strong>.</p><p></p><p>The ideal candidate will have strong experience integrating AI technologies through APIs and developing AI agents capable of understanding user requests, making decisions, accessing data, and completing tasks autonomously within a secure platform environment.</p><p></p><p><strong>Please note that ONLY applications with complete and detailed answers to all screening questions will be considered for this position.</strong></p><p></p><p><strong>Key Responsibilities</strong></p><ul><li><p><strong>AI Agents:</strong> Design and develop intelligent AI agents that can understand user intent, access authorized platform data, make decisions, and execute tasks across iBrokerage modules.</p></li><li><p><strong>AI Avatars:</strong> Integrate AI-powered digital avatars for interactive training, support, communication, and user experiences.</p></li><li><p><strong>AI Caller Solutions:</strong> Develop and integrate AI voice agents capable of handling inbound and outbound calls, conversations, inquiries, and automated workflows.</p></li><li><p><strong>Voice Recognition:</strong> Integrate speech-to-text, text-to-speech, voice recognition, and natural voice interaction with AI agents and avatars.</p></li><li><p><strong>AI Video Generation:</strong> Build workflows that allow users to create professional avatar videos from scripts, including automated voice narration and presentation.</p></li><li><p><strong>Advanced Chatbots:</strong> Develop intelligent, context-aware chatbots capable of answering questions, guiding users, and performing platform-related tasks.</p></li><li><p><strong>AI User Assistant:</strong> Build an AI assistant that helps users navigate iBrokerage, access information, complete tasks, and interact with platform features.</p></li><li><p><strong>AI Training &amp; Manuals:</strong> Develop AI-powered avatar and assistant experiences capable of presenting manuals, policies, documentation, and training materials while answering user questions.</p></li><li><p><strong>Online Signatures:</strong> Integrate secure electronic signature solutions and develop AI-assisted workflows for preparing, sending, tracking, and completing documents.</p></li><li><p><strong>API Integration:</strong> Connect third-party AI and SaaS services through REST APIs, webhooks, SDKs, and other integration methods.</p></li><li><p><strong>Platform Integration:</strong> Ensure AI agents and services integrate seamlessly with iBrokerage modules, user accounts, permissions, workflows, and data.</p></li><li><p><strong>Security &amp; Reliability:</strong> Implement secure authentication, authorization, data protection, logging, error handling, and monitoring across all AI integrations.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Strong experience in <strong>AI application development and API integration</strong>.</p></li><li><p>Hands-on experience building <strong>AI agents, AI assistants, chatbots, or agentic workflows</strong>.</p></li><li><p>Strong knowledge of <strong>LLMs, prompt engineering, function calling, tool use, RAG, and AI orchestration</strong>.</p></li><li><p>Experience integrating third-party AI platforms through APIs and SDKs.</p></li><li><p>Strong knowledge of <strong>REST APIs, JSON, webhooks, OAuth, and API authentication</strong>.</p></li><li><p>Experience with <strong>speech-to-text and text-to-speech technologies</strong>.</p></li><li><p>Experience with AI voice, telephony, avatar, or video-generation platforms.</p></li><li><p>Experience developing knowledge-based AI systems using <strong>documents, manuals, embeddings, vector databases, and RAG</strong>.</p></li><li><p>Experience integrating <strong>electronic signature APIs</strong>.</p></li><li><p>Strong backend development and web application architecture skills.</p></li><li><p>Understanding of data security, access control, and privacy requirements.</p></li><li><p>Ability to evaluate emerging AI technologies and integrate them into production systems.</p></li></ul><p></p><p><strong>Preferred Technical Skills</strong></p><p>Experience with one or more of the following is an asset:</p><ul><li><p><strong>Python, Node.js, TypeScript, or similar technologies</strong></p></li><li><p>LLM and AI APIs</p></li><li><p>AI agent frameworks and orchestration platforms</p></li><li><p>Function calling and tool-based AI agents</p></li><li><p>RAG, embeddings, and vector databases</p></li><li><p>Speech recognition and text-to-speech APIs</p></li><li><p>Voice and telephony APIs</p></li><li><p>AI avatar and video-generation APIs</p></li><li><p>Document intelligence and knowledge-base systems</p></li><li><p>OAuth 2.0 and JWT</p></li><li><p>Cloud platforms and serverless architecture</p></li><li><p>Electronic signature APIs</p></li><li><p>Git, CI/CD, automated testing, and monitoring</p></li></ul><p></p>

<p>We are seeking a highly motivated and experienced AI/ML Developer Level II to join our dynamic</p><p>team. In this role, you will be a key contributor to the design, development, and deployment of</p><p>sophisticated conversational AI systems, primarily using the RASA framework. Your deep</p><p>expertise in Python, coupled with hands-on experience in the Google Cloud Platform (GCP)</p><p>ecosystem, will be essential for building, scaling, and maintaining robust, enterprise-grade virtual</p><p>assistants and chatbots. You will move beyond prototyping to take ownership of components,</p><p>optimize model performance, and ensure the reliability of our AI solutions in production.</p><p><br></p><p><strong><u>Key Responsibilities:</u></strong></p><p>(Must-have)</p><ul><li>RASA Framework Development: Design, build, and maintain advanced conversational AI</li></ul><p>agents using the RASA Open Source and/or RASA X/Pro platforms. This includes developing complex dialogue management with stories and rules, configuring the NLU pipeline, and creating custom actions.</p><ul><li>Model Training &amp; Optimization: Train, evaluate, and fine-tune RASA NLU and dialogue</li></ul><p>models. Implement strategies for continuous improvement using conversation analytics</p><p>and user feedback to enhance intent classification, entity recognition, and response quality.</p><ul><li>Python-Centric Solutioning: Write clean, eƯicient, and well-documented Python code for</li></ul><p>custom actions, policies, and integrations. Develop scalable backend services and APIs to connect RASA agents with other business systems.</p><ul><li>Google Cloud Platform (GCP) Integration &amp; Deployment: Architect, deploy, and manage</li></ul><p>RASA bots on GCP (using Google Kubernetes Engine - GKE, Pub/Sub for messaging, Cloud</p><p>Run, or Compute Engine). Utilize GCP services like Vertex AI and Dialogflow CX for complementary use-cases or hybrid architectures, and Cloud Speech-to-Text / Text-to-Speech for voice-enabled bots.</p><p><br></p><p><strong>Nice-to-have:</strong></p><ul><li>CI/CD &amp; MLOps: Implement and maintain CI/CD pipelines for automated testing, building,</li></ul><p>and deployment of RASA models using tools like Git. Champion MLOps best practices for</p><p>versioning, monitoring, and retraining models.</p><ul><li>Data Management: Leverage Google BigQuery for analyzing conversation logs and</li></ul><p>deriving insights. Use Cloud Storage for managing training data and model artifacts.</p><p><br></p><p><strong><u>Required Qualifications:</u></strong></p><ul><li>Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a</li></ul><p>related field, or equivalent practical experience.</p><ul><li>Experience: 3+ years of professional experience in AI/ML development, with at least 2</li></ul><p>years of hands-on, in-depth experience building and deploying production-level chatbots</p><p>with the RASA framework.</p><ul><li>Programming: Strong proficiency in Python, with a solid understanding of software</li></ul><p>engineering principles, design patterns, and API development.</p><ul><li>Google Cloud Platform: Proven, hands-on experience with core GCP services, including:</li><li>Compute: Google Kubernetes Engine (GKE), Cloud Run, or App Engine.</li><li>AI/ML Services: Practical knowledge of Dialogflow and/or Cloud Natural Language API.</li><li>Infrastructure: Cloud Storage, Cloud Build, IAM, and VPC networking.</li><li>Machine Learning Fundamentals: Solid understanding of NLP fundamentals (intent</li></ul><p>detection, entity extraction, context management) and practical experience with machine</p><p>learning libraries (e.g., scikit-learn, spaCy, Transformers).</p><ul><li>Version Control &amp; Collaboration: High proficiency with Git in a collaborative team environment.</li></ul><p><br></p><p><strong><u>Soft Skills &amp; Other Requirements:</u></strong></p><ul><li>Problem-Solving: Excellent analytical and problem-solving skills with the ability to</li></ul><p>troubleshoot complex technical issues in distributed systems.</p><ul><li>Ownership &amp; Initiative: A proactive mindset with the ability to take ownership of projects</li></ul><p>from conception to deployment and beyond, working with minimal supervision.</p><ul><li>Communication: Strong verbal and written communication skills. Ability to clearly</li></ul><p>articulate technical concepts to both technical and non-technical stakeholders.</p><ul><li>Agile Methodology: Experience working in an Agile/Scrum development process.</li><li>Team Player: A collaborative attitude, with a willingness to mentor junior developers and</li></ul><p>share knowledge with the team.</p><ul><li>Continuous Learning: A passion for staying up-to-date with the rapidly evolving fields of</li><li>Conversational AI, MLOps, and cloud technologies.</li></ul><p><br></p><p>Preferred Qualifications (Bonus):</p><ul><li>GCP Professional Machine Learning Engineer or other GCP certifications.</li><li>Experience with containerization technologies (Docker) and orchestration (Kubernetes).</li><li>Knowledge of infrastructure-as-code tools like Terraform.</li></ul>

<p>What if your Arabic language?skills could help improve AI WHAT YOU’LL DO • Record a single 15–20 second video in your native Arabic dialect. • Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby. • Look directly at the camera the whole time. • After recording, answer a few short questions about yourself (e.g., age range, country, dialect) to help us organize the dataset. PROJECT DETAILS Job Title: Project Keid - Egyptian/ Yemeni Arabic Speaker - Video Recording (Egypt) Start Date: ASAP Duration: 1 session Commitment: 1 hour Job Type: Freelance Location: Egypt (Remote) Arabic Dialects: Egyptian, Levantine, Gulf, Iraqi, Yemeni Pay Rate: US$5/ per accepted Video Your Privacy Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.</p><p>Recording specifications (must meet all to be accepted) • Video quality: 1080p or higher • Length: 15–20 seconds • Framing: Head-and-shoulders, face centered and fully visible • Lighting/background: Well-lit face (no harsh shadows), plain/neutral background • Expression: Neutral/relaxed while speaking naturally • Audio: Clear speech, no background noise, music, or echo • Orientation: Portrait or landscape acceptable (hold steady, no shaky footage) • Environment: Quiet indoor setting preferred • Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame YOU ARE A FIT IF YOU’RE • 18 years of age or older. • A native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized.</p>