Machine operator Jobs

Are you passionate about football (soccer) and interested in growing a local football community?<br><br>Stranger Soccer is expanding globally and is looking for an Operator & License Owner to launch, manage, and grow our football platform in Cairo.<br><br>This is not a conventional management job—it's an opportunity to build and operate your own local football operation while making football more accessible in your city. It's ideal for entrepreneurial individuals who are passionate about the game and driven to create meaningful, lasting impact.<br><br>⚽ About The Opportunity<br><br>As an Operator & License Owner, you'll lead the growth of Stranger Soccer in Cairo—from building local partnerships and managing operations to growing an active community of players.<br><br>You'll have the freedom to shape the local operation while benefiting from the systems, expertise, and support of our Singapore headquarters.<br><br>???? Key Responsibilities<br><br>Launch and grow Stranger Soccer in Cairo Build partnerships with football venues and secure quality playing locations Recruit, coordinate, and support Official Hosts and local team members Drive marketing initiatives to attract players and grow the community Oversee game operations and deliver an outstanding player experience Identify opportunities to improve and expand the local operation<br><br>You'll receive support from our Singapore headquarters, including:<br><br>A technology platform for app, payments, and operations Proven operating systems and processes Ongoing guidance across operations, marketing, and growth<br><br>???? Who We're Looking For<br><br>Passion for football and a strong understanding of the local football community An entrepreneurial mindset with a strong sense of ownership Experience managing operations and delivering measurable results Background in operations, community management, or customer experience Strong leadership, communication, and relationship-building skills<br><br>???? Why This Opportunity?<br><br>Build and grow Stranger Soccer in your city Make a lasting impact on the local football community Lead a growing network of players and Official Hosts Benefit from the support of an established international brand Enjoy a performance-driven opportunity where your success drives your rewards<br><br>???? About Stranger Soccer<br><br>Stranger Soccer makes playing football simple, flexible, and accessible. Through our mobile app, players can discover nearby games, book a spot, and simply turn up to play.<br><br>Founded in Singapore, Stranger Soccer now operates in 10+ cities worldwide and has hosted over 100,000 games. We're looking for passionate individuals who want to bring this experience to their local communities.<br><br>???? Interested in Joining Us?<br><br>Visit www.strangersoccer.com and explore the "Bring Stranger Soccer to Your City" section to learn more.<br><br>If you're excited to help shape the future of football participation, we'd love to hear from you.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Position Overview</b></p><p>As the Technical Lead AI &amp; Machine Learning at Arrow Electronics, you will play a key role in delivering enterprise AI and machine learning solutions across intelligent products and internal automation platforms. Working under the direction of the AI leadership team, you will translate strategic AI initiatives into scalable, production-ready solutions while providing technical leadership to a team of AI engineers and data scientists. You will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models. As the technical lead for project execution, you will collaborate closely with software engineering, product management, and data engineering teams to ensure AI solutions are delivered with high quality, scalability, and business impact while mentoring engineers and promoting engineering best practices.</p><p>Key Responsibilities</p><p>Technical Execution</p><ul><li>Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.</li><li>Translate product and AI leadership vision into scalable technical solutions.</li><li>Drive engineering best practices, code quality, documentation, and software design across AI projects.</li><li>Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.</li></ul><p>Machine Learning &amp; Deep Learning</p><ul><li>Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.</li><li>Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.</li><li>Fine-tune transformer models and other deep learning architectures using modern training techniques.</li></ul><p>Generative AI &amp; Intelligent Systems</p><ul><li>Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.</li><li>Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.</li><li>Evaluate new AI technologies and recommend practical adoption opportunities.</li><li>Deploy and maintain AI models in production environments.</li></ul><p>Production AI &amp; MLOps</p><ul><li>Ensure AI systems are reliable, secure, efficient, and maintainable.</li></ul><p>Mentorship &amp; Innovation</p><ul><li>Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.</li><li>Promote engineering excellence, continuous learning, and adoption of modern AI development practices.</li><li>Support technical interviews and onboarding of new team members.</li><li>Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>6+ years of experience developing and deploying production AI and machine learning solutions.</li><li>Demonstrated experience leading the technical implementation of AI/ML projects.</li><li>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</li><li>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</li><li>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</li><li>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</li><li>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</li><li>Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</li><li>Experience deploying AI services using cloud platforms and modern software engineering practices.</li><li>Familiarity with vector databases, search technologies, and MLOps practices.</li></ul><p></p></section>

Incoming Tour Operator<br>Company: Respect Tours Location: Cairo, Egypt Job Type: Full-time | On-site<br>About the Role<br>Respect Tours is looking for an experienced Incoming Tour Operator to join our team in Cairo.<br>You will be responsible for planning and coordinating travel programs across Egypt, handling bookings and suppliers, and ensuring every tour runs smoothly from arrival to departure.<br>Key Responsibilities<br>- Design, cost, and customize travel packages and itineraries.- Coordinate bookings with hotels, Nile cruises, transportation providers, guides, and suppliers.- Handle reservations, confirmations, and complete travel arrangements.- Manage tour operations from arrival to departure.- Follow up on ongoing tours and ensure all services are delivered as planned.- Handle client requirements and resolve operational issues efficiently.- Communicate with suppliers and internal teams to ensure smooth operations.- Manage multiple bookings and travel files simultaneously.<br><br>Requirements<br>- 3+ years of experience in incoming tourism and tour operations.- Strong knowledge of Egypt destinations, hotels, Nile cruises, and tourism services.- Experience in designing, costing, and customizing Egypt travel itineraries.- Good knowledge of reservations and supplier coordination.- Strong communication, negotiation, and problem-solving skills.- Excellent command of English.- Strong organizational skills and attention to detail.- Ability to multitask and work effectively under pressure.<br>Join Respect Tours<br>If you have solid experience in incoming tourism and know how to turn a travel itinerary into a seamless experience on the ground, we’d love to hear from you.<br>???? Cairo, Egypt???? Send your CV to: info@respecttours.com

We’re Hiring: Sn. Machine Design Engineer Location: Alexandria Job Type: Full-time – On-site We’re looking for a Machine Designer to join our team and contribute to the design, development, and optimization of mechanical systems, with a strong focus on precision, manufacturability, and cross-disciplinary collaboration. What You’ll Do● Design and develop machines, mechanisms, and assemblies with attention to accuracy, efficiency, and reliability.● Perform stress analysis, kinematics, dynamics, and fatigue assessments to ensure safety and performance.● Prepare detailed CAD models, assemblies, technical drawings, BOMs, and work instructions in compliance with ISO/ASME standards.● Apply GD&T principles to ensure tolerance control and dimensional accuracy.● Integrate design features for sheet metal, weldments, castings, forgings, and additive manufacturing (3D printing).● Collaborate with cross-functional teams (electrical, controls, and manufacturing) to ensure smooth integration of mechanical systems.● Support prototyping, testing, and design validation activities.● Manage documentation, version control, and revisions using PLM/ERP systems. What We’re Looking For Education & Experience:<br>● Bachelor’s degree in Mechanical Engineering.● 7–15 years of experience in machine design, mechanical systems, or industrial equipment.● Preferred: Hands-on exposure to manufacturing processes, prototyping, and automation projects. Technical Skills:<br>● Proficiency in Autodesk Inventor (parts, assemblies, drawings, i Logic, Frame Generator), Auto CAD Mechanical, and Vault.● Knowledge of FEA, CFD, and thermal simulations for design validation.● Experience with design for manufacturability (DFM), design for assembly (DFA), and rapid prototyping.● Familiarity with industry codes and standards (ISO, ASME, ASTM, OSHA).● (Bonus: Experience with VB. NET, macros, or design automation tools). Administrative & Project Skills:● Strong project planning, scheduling, and reporting capabilities.● Effective documentation and version control practices.● Collaboration with multidisciplinary teams and suppliers. Language Skills:● Strong command of English — capable of reading, writing, and presenting technical content clearly. Abilities & Traits● Excellent attention to detail with strong analytical and problem-solving skills.● Ability to interpret complex technical data and optimize designs.● Willingness to learn and adapt quickly to new tools and methods. What We Offer-A healthy and supportive work environment that values innovation and teamwork.-International exposure and the opportunity to work on diverse machine design projects.-Continuous learning and development through training and upskilling programs.-Clear career development path with growth opportunities.-Comprehensive social and medical insurance coverage.

We're looking for an experienced CNC Machines Maintenance Supervisor to join our team in our facilities in Qowesna, Minufiyah. Responsibilities:Supervise the maintenance team and ensure efficient operation of CNC machines. Oversee preventive and corrective maintenance activities. Diagnose and resolve mechanical and electrical issues. Coordinate with production to minimize machine downtime. Ensure compliance with safety and maintenance standards. Qualifications:Bachelor's degree in Mechanical Engineering or Electrical Engineering. Minimum 3 years of experience in CNC machine maintenance. Strong leadership, troubleshooting, and communication skills.<br> نبحث عن مشرف صيانة ماكينات CNC للانضمام إلى فريقنا في مقرنا بقويسنا المنوفية .المهام:الإشراف على فريق صيانة ماكينات CNC.متابعة وتنفيذ أعمال الصيانة الوقائية والإصلاحية.تشخيص الأعطال الميكانيكية والكهربائية وحلها.التنسيق مع الإنتاج لتقليل فترات توقف الماكينات.ضمان الالتزام بإجراءات السلامة والجودة.المؤهلات:بكالوريوس هندسة ميكانيكية أو كهربائية.خبرة لا تقل عن 3 سنوات في صيانة ماكينات CNC.مهارات قيادية وقدرة على حل المشكلات.

Join dsm-firmenich as a Production Operator at our Animal Nutrition & Health (ANH) premix plant in Sadat City. In this hands-on role, you will operate manufacturing processes, handle raw materials, support safe and efficient production, and ensure quality standards are met in a dynamic production environment offering long-term career growth.<br><br>Your key responsibilities<br>• Operate production equipment and manufacturing processes safely and efficiently according to instructions and procedures<br>• Handle raw materials including transport, weighing, mixing, filling silos, bagging, and stacking finished goods<br>• Monitor process parameters, record production data and report deviations or disturbances to supervisors<br>• Take product samples, perform basic analysis, and support quality control activities in line with procedures<br>• Carry out minor maintenance activities and support utility mechanics to ensure continuous production<br>• Maintain good housekeeping standards and comply with Quality, Health, Safety, and Environmental guidelines <br><br>We offer<br>• A rich history and a promising future of bold scientific innovation and passionate creation with our customers<br>• A space to grow by encouraging and supporting curiosity and an open mindset<br>• A culture that prioritizes safety and well-being, both physically and mentally<br>• The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose<br>• Barrier-free communities within our organization where every employee is equally valued and respected – regardless of their background, beliefs, or identity<br>• An eagerness to be one team and learn from each other to bring progress to life and create a better future<br><br>Qualifications:<br>• At least 2 years of experience as a Production Operator or Premix Operator<br>• Ability to work in shifts and in a production/industrial environment<br>• Basic understanding of production processes, equipment, and safety rules<br>• A responsible, safety-oriented mindset with attention to detail.<br><br><br><br><br>About ANH<br><br>ANH, in the process of separating from dsm-firmenich, is a global leader in animal nutrition and health, as well as vitamins, carotenoids, and aroma ingredients - driven by its strong purpose: feeding the planet without costing the earth. Together, we make it possible. www.dsm-firmenich.com/ANH<br><br><br>About dsm-firmenich<br>At dsm-firmenich, we don’t just meet expectations – we go beyond them. <br>Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.<br> <br>From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.<br><br>And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future. <br><br>Because real progress only happens when we go beyond, together.<br><br><br>Inclusion, belonging and equal opportunity statement<br>At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.<br><br>We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve.<br><br>We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.<br><br>And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work.<br><br><br>Agency statement :<br>We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role.

Model Development: Assist in designing, training, and fine-tuning machine learning models using Python and modern ML frameworks Data Pipeline Maintenance: Help clean, preprocess, and analyze large datasets to ensure high-quality training inputs for our models Performance Evaluation: Conduct experiments to evaluate model accuracy, precision, and recall; document findings and iterate based on performance metrics Research & Implementation: Stay up-to-date with the latest developments in AI/ML and explore how they can be applied to solve specific fintech problems Collaborative Deployment: Work with the engineering team to integrate model prototypes into our production environment<br><br>Requirements<br><br>Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field Technical Toolkit: Proficiency in Python (specifically libraries like Pandas, Num Py, Scikit-Learn, PyTorch, or Tensor Flow). Back-end or full-stack knowledge Statistical Foundation: A solid understanding of machine learning algorithms, statistics, and linear algebra Data Fluent: Comfortable working with SQL to query and manipulate large datasets Curious & Persistent: You love debugging complex issues and are comfortable with the iterative nature of ML model building<br><br>Nice to have <br><br>Experience with cloud platforms (AWS, GCP, or Azure) and machine learning services (e.g., Sage Maker, Vertex AI) Exposure to LLM and Gen AIPrevious experience or passion projects in the fintech space (e.g., building a sentiment analysis tool for markets, or a personal expense classifier) Familiarity with version control systems like Git<br><br>Benefits<br><br>???? Inspiring Office Environment<br><br>When you come to the mylo office, you'll find creative workspaces, an open design that encourages team collaboration, and a well-equipped kitchen for your daily coffee breaks or snack moments.<br><br>????‍???? Learn from the Best<br><br>You'll be surrounded by experienced, passionate tech professionals who are ready to guide you. You'll learn fast, grow even faster, and gain real-world exposure that will help you take confident steps in your career.<br><br>???? Real Impact<br><br>This isn't a "watch-and-learn" kind of internship. You'll be working on real projects, solving actual problems, and making a difference — from day one.

We are looking for a detail-oriented Media Operator to support our media operations team by managing digital media assets, metadata, artwork quality control, and subtitle files. The ideal candidate will ensure all incoming assets meet quality standards, maintain accurate documentation, and communicate effectively with internal teams and clients to facilitate seamless content delivery.<br><br>Key Responsibilities<br><br>Verify the workability and integrity of all received media assets Create, update, and maintain metadata for digital media assets Perform quality control (QC) on artwork and validate its compliance with client specifications Prepare, review, and manage subtitle files for accuracy and formatting Confirm receipt of media assets and ensure proper documentation Document asset issues and provide clear comments and feedback to the Client Operations team and external clients Collaborate with internal teams to resolve asset-related issues and ensure timely delivery Follow company security policies and protect confidential media assets and information Perform other duties as assigned<br><br>Requirements<br><br>Bachelor's degree in Media, Mass Communication, Multimedia, or a related field2 years of experience in media operations or a similar role Experience working with video and/or audio assets Hands-on experience using Adobe Premiere Pro Good understanding of digital media formats and workflows Strong attention to detail and ability to identify quality issues Good written and spoken English Strong communication, organization, and problem-solving skills Ability to manage multiple tasks and meet deadlines in a fast-paced environment<br><br>Benefits<br><br>At Pixelogic, we pride ourselves on fostering a supportive and engaging environment. Our comprehensive benefits include top-notch medical and social insurance fully covered for you and your family, ongoing training and development opportunities, and fun department outings to boost team spirit. Enjoy delicious catered meals, unlimited snacks and drinks, and a fun office activity area for games and stress relief. We also provide free internet for remote work, convenient office transportation, and a rewarding referral bonus system.

We are looking for a detail-oriented Media Operator to support our media operations team by managing digital media assets, metadata, artwork quality control, and subtitle files. The ideal candidate will ensure all incoming assets meet quality standards, maintain accurate documentation, and communicate effectively with internal teams and clients to facilitate seamless content delivery.<br><br>Key Responsibilities<br><br>Verify the workability and integrity of all received media assets Create, update, and maintain metadata for digital media assets Perform quality control (QC) on artwork and validate its compliance with client specifications Prepare, review, and manage subtitle files for accuracy and formatting Confirm receipt of media assets and ensure proper documentation Document asset issues and provide clear comments and feedback to the Client Operations team and external clients Collaborate with internal teams to resolve asset-related issues and ensure timely delivery Follow company security policies and protect confidential media assets and information Perform other duties as assigned<br><br>Requirements<br><br>Bachelor's degree in Media, Mass Communication, Multimedia, or a related field2 years of experience in media operations or a similar role Experience working with video and/or audio assets Hands-on experience using Adobe Premiere Pro Good understanding of digital media formats and workflows Strong attention to detail and ability to identify quality issues Good written and spoken English Strong communication, organization, and problem-solving skills Ability to manage multiple tasks and meet deadlines in a fast-paced environment<br><br>Benefits<br><br>At Pixelogic, we pride ourselves on fostering a supportive and engaging environment. Our comprehensive benefits include top-notch medical and social insurance fully covered for you and your family, ongoing training and development opportunities, and fun department outings to boost team spirit. Enjoy delicious catered meals, unlimited snacks and drinks, and a fun office activity area for games and stress relief. We also provide free internet for remote work, convenient office transportation, and a rewarding referral bonus system.

Senior Machine Learning Engineer (Generative AI)<br>About the Role We are looking for a Senior Machine Learning Engineer to support the development of AI-driven solutions within the Global Digital Marketing team of a leading agricultural company. In this role, you will design and implement intelligent applications powered by Generative AI, Large Language Models (LLMs), and AI agents, helping to automate business processes and enhance digital marketing capabilities. You will collaborate with cross-functional teams to build scalable AI solutions, integrate enterprise data sources, and deliver production-ready applications using modern AI frameworks and cloud technologies. This is an exciting opportunity to work on innovative AI initiatives that drive business transformation at a global scale.<br>Project Overview Our customer is a global leader in the agricultural industry, committed to driving innovation through digital transformation and advanced AI technologies. The Global Digital Marketing team is building next-generation AI solutions that improve customer engagement, automate business processes, and enable intelligent decision-making across enterprise platforms. As a Senior Machine Learning Engineer, you will play a key role in designing and delivering enterprise-grade Generative AI applications, intelligent agents, and Retrieval-Augmented Generation (RAG) solutions integrated with large-scale enterprise systems.<br>Key Responsibilities Design, develop, and deploy scalable LLM-based intelligent agents and AI-powered applications. Design conversational AI solutions and contribute to solution architecture. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques. Integrate Large Language Models with enterprise data sources and APIs. Develop semantic workflows using frameworks such as Lang Chain, Lang Graph, Semantic Kernel, and Copilot Studio. Automate internal business processes using n8n and AI-powered workflows. Collaborate with Dev Ops, backend engineers, product owners, and business stakeholders to deliver production-ready AI solutions. Optimize prompt engineering strategies, model performance, and AI application quality. Contribute to AI deployment best practices, model evaluation, and continuous improvement initiatives. Support the adoption of modern AI development tools and engineering practices.<br>Required Qualifications Education Bachelor's degree in computer science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field. Technical Skills Proven experience developing and deploying Generative AI or LLM-based applications. Strong prompt engineering skills using Large Language Models such as:Open AIAzure Open AIClaude LLaMAExperience with AWS AI services, including:Amazon Bedrock Agent Core Hands-on experience with:Lang Chain Lang Graph Similar LLM orchestration frameworks Strong understanding of:Retrieval-Augmented Generation (RAG) Semantic Search Vector Embeddings Vector Databases Experience designing and consuming REST APIs and microservices. English proficiency at B2 level or higher, with the ability to communicate effectively with international stakeholders. Professional Experience Proven experience delivering production-ready AI and Machine Learning solutions. Experience integrating AI applications with enterprise systems and business workflows. Strong software engineering and problem-solving skills. Experience collaborating within Agile development teams.<br>Nice to Have Experience with n8n workflow automation. Semantic Kernel. Microsoft Copilot Studio. Experience supporting Digital Marketing solutions or Mar Tech platforms. SQL proficiency. Experience using AI-assisted development tools such as:Claude Code Git Hub Copilot Similar AI coding assistants Experience with MLOps or AI deployment pipelines.<br>Why Join Us? Join a global team delivering innovative AI solutions for one of the world's leading agricultural companies. Work with cutting-edge Generative AI technologies, intelligent agents, and enterprise-scale AI platforms. Collaborate with experienced AI engineers, architects, and business stakeholders on impactful digital transformation initiatives. Gain hands-on experience building production-ready AI systems using the latest cloud and LLM technologies. Enjoy excellent opportunities for professional growth while expanding your expertise in Machine Learning, MLOps, and enterprise AI engineering.

Turn Passion into Business. Bring Stranger Soccer to Cairo.<br><br>What if you could take something you love—football—and turn it into a sustainable, growing business? At Stranger Soccer, that's exactly what we've made possible.<br><br>We're expanding our unique football experience platform to new cities, and we're looking for a License Owner / Operator in Cairo to take the reins. This is not a traditional role — it is designed for individuals who understands football culture, thrives on building something meaningful, and is ready to own and operate their own venture with the support of a proven global brand.<br><br>Imagine this:<br><br> Players in your city scroll through dozens of weekly football games on a mobile app They book in seconds, show up, and play Every game delivers a consistent, high-quality experience because you are making it happen You are at the center, operating a full football ecosystem for your community<br><br>How It Works<br><br>Stranger Soccer has redefined how people play the world's most loved sport. Through our technology platform, we make casual football as easy to access as a gym session. Born in Singapore, Stranger Soccer is now open in 10+ cities around the world, with over 100,000 games run. Our model is built for scale — and we're ready to bring it to Cairo.<br><br>Who We're Looking For<br><br> A football enthusiast with strong local insight A strategic thinker with leadership and business experience An entrepreneurial mind ready to operate independently, with full support from HQ Someone who wants more than a job — they want ownership, impact, and results<br><br>You'll manage everything from operations to marketing to team recruitment — but you won't be alone. Our HQ team provides the tools, playbook, and platform to help you succeed.<br><br>Why This Opportunity Stands Out<br><br>This isn't a typical job. It's a business opportunity for someone with an entrepreneurial mindset to take the reins, lead locally, and build a venture that changes how people experience the beautiful game.<br><br>Curious?<br><br>Visit www.strangersoccer.com → Click "Bring Stranger Soccer to Your City" to explore the opportunity and express your interest.<br><br>Let's change how the world plays football — one city at a time

Turn Passion into Business. Bring Stranger Soccer to Cairo.<br><br>What if you could take something you love—football—and turn it into a sustainable, growing business? At Stranger Soccer, that's exactly what we've made possible.<br><br>We're expanding our unique football experience platform to new cities, and we're looking for a License Owner / Operator in Cairo to take the reins. This is not a traditional role — it isdesigned for individuals who understands football culture, thrives on building something meaningful, and is ready to own and operate their own venture with the support of a proven global brand.<br><br>Imagine this:<br><br>Players in your city scroll through dozens of weekly football games on a mobile app. They book in seconds, show up, and play. Every game delivers a consistent, high-quality experience — because you are making it happen. You are at the center, operating a full football ecosystem for your community. <br><br>How It Works<br><br>Stranger Soccer has redefined how people play the world's most loved sport. Through our technology platform, we make casual football as easy to access as a gym session. Born in Singapore, Stranger Soccer is now open in 10+ cities around the world, with over 100,000 games run. Our model is built for scale — and we're ready to bring it to Amsterdam.<br><br>Who We're Looking For<br><br>A football enthusiast with strong local insight A strategic thinker with leadership and business experience An entrepreneurial mind ready to operate independently, with full support from HQ Someone who wants more than a job — they want ownership, impact, and results <br><br>You'll manage everything from operations to marketing to team recruitment — but you won't be alone. Our HQ team provides the tools, playbook, and platform to help you succeed.<br><br>Why This Opportunity Stands Out<br><br>This isn't a typical job. It's a business opportunity for someone with an entrepreneurial mindset to take the reins, lead locally, and build a venture that changes how people experience the beautiful game.<br><br>Curious?<br><br>Visit www.strangersoccer.com → Click "Bring Stranger Soccer to Your City" to explore the opportunity and express your interest.<br><br>Let's change how the world plays football — one city at a time.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Who we are</b> <br> VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.<br> As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.<br> We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.<br> #VOIS #BeUnrivalled #CreateTheFuture<br> <br><br><br><b>About this Role</b> <br>We are seeking a highly skilled Machine Learning Engineering Lead to drive the quality, scalability, and standardisation of machine learning solutions across the organisation. This role focuses on designing, developing, deploying, and maintaining end-to-end ML solutions while establishing technical standards, coding practices, and operational excellence. The successful candidate will combine strong software engineering expertise with advanced machine learning knowledge, work closely with stakeholders across distributed teams, and provide technical leadership, mentoring, and guidance to engineering colleagues.<br><br><br><b>What you’ll do</b> <br>Provide technical leadership, mentoring, and guidance to junior and senior machine learning engineers, acting as a key technical reference within the team.<br> Design, develop, and deliver solutions for large-scale, real-world machine learning challenges.<br> Create, maintain, and optimise data pipeline platforms, ML pipelines, workflows, and automation solutions.<br> Oversee project priorities, deliverables, timelines, and technical quality standards.<br> Refactor and optimise machine learning algorithms to ensure production readiness and operational efficiency.<br> Design and develop cloud-based integrations and APIs.<br> Deliver containerised microservices following test-driven development practices.<br> Enable and integrate cloud capabilities into developed tools and platforms.<br> Build web applications and tools that support data scientists and facilitate customer consumption of machine learning services.<br> Follow accessibility standards, cross-browser compatibility requirements, and established engineering best practices.<br> Promote high-quality software engineering practices through code reviews and collaborative development.<br> Collaborate with planners, product teams, and stakeholders to design, develop, and operate tools that meet business requirements.<br> Support troubleshooting, root cause analysis, and issue resolution activities in collaboration with other teams.<br> Lead technical training sessions, contribute to standard operating procedures, and support engineering recruitment activities.<br> Conduct peer programming, knowledge sharing, and continuous improvement initiatives across the engineering community.<br><br><br><b>Who you are</b> <br>Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience.<br> Demonstrated experience in machine learning engineering, software engineering, and production-scale solution delivery.<br> Strong expertise in machine learning algorithms, statistical modelling, and data analysis techniques.<br> Proficiency in Python, R, Java, or similar programming languages.<br> Experience with machine learning frameworks such as TensorFlow, scikit-learn, or equivalent technologies.<br> Strong knowledge of data pre-processing, feature engineering, and large-scale data manipulation.<br> Solid foundation in mathematics, statistics, and probability theory.Experience deploying, monitoring, and maintaining machine learning models throughout the full ML lifecycle.<br> Familiarity with cloud platforms including AWS, Microsoft Azure, or Google Cloud.<br> Experience working with big data and distributed technologies such as Hadoop, Spark, and Kubernetes.<br> Strong understanding of Generative AI concepts and prompt engineering practices.<br> Experience working within international and geographically distributed teams.<br> Ability to facilitate workshops, validation sessions, and stakeholder discussions.<br> Excellent analytical, problem-solving, communication, and collaboration skills.<br> Experience mentoring colleagues and delivering technical training.<br> Ability to create and maintain standard operating procedures and engineering standards.<br> Commitment to continuous learning and adapting to emerging technologies and industry trends.<br><br><br><b>Not a perfect fit?</b> <br>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.<br><br><br><b>What’s in it for you</b> <br>Opportunity to work on large-scale machine learning and AI initiatives with global impact.<br> Exposure to modern cloud, data engineering, and MLOps technologies.<br> Chance to influence engineering standards, coding quality, and technical strategy.<br> Collaborative international working environment with cross-functional stakeholders.<br> Opportunities to mentor colleagues and contribute to the growth of the wider engineering community.<br> Continuous learning through exposure to emerging technologies, Generative AI, and advanced machine learning practices.<br><br><br><b>What skills you will learn</b> <br>Advanced machine learning lifecycle management and production deployment practices.<br> Scalable data engineering and cloud-native architecture design.MLOps, automation, orchestration, and platform engineering capabilities.Leadership, mentoring, stakeholder management, and technical coaching skills.<br> Enterprise-scale API development and microservices architecture.<br> Generative AI implementation and prompt engineering best practices.<br> Technical governance, software quality assurance, and engineering standardisation.<br><br><br><b>VOIS Equal Opportunity Employer Commitment</b> <br>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.<br><br><br><b>Join Us</b> <br> At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.<br> We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.<br> With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.<br> <br><br><br><b>Alert</b> <br>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.” #JDEnhancedByTARA<br><br><br><b>Follow us on social media and #StayConnected</b> <br>LinkedIn: VOIS LinkedIn<br> Facebook:&nbsp;VOIS Facebook<br> Instagram:&nbsp;VOIS Instagram<br> Chat with our employees:&nbsp;Learn more about our projects<br><br><br><br> </span> </div>

We are looking for a dedicated Principal Machine Learning Engineer to join our growing Core team. This team collaborates closely with one of the prestigious automotive companies based in Germany, working at the forefront of innovation in AI-driven systems. Responsibilities:Own major parts of the ML lifecycle, from problem framing and experimentation through training, evaluation, deployment, monitoring, and iteration Design and implement ML systems that are scalable, observable, and production-ready, applying MLOps best practices Apply classical, neural network, and generative ML techniques appropriately, knowing when simpler models outperform more complex ones Research and implement state-of-the-art algorithms when needed Collaborate across disciplines with product managers, data engineers, backend engineers, and other stakeholders to align on goals and trade-offs Mentor and collaborates with colleagues through code review, design review, documentation, and hands-on technical guidance Participate in the full software lifecycle: requirements, design, implementation, testing, release, and operational support Align on priorities, timelines, and technical direction while driving execution within your scope Required Qualifications:Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline; a Master's degree (MSc) is a plus Over 6 years of experience developing machine learning algorithms Machine Learning & Research Deep experience training, tuning, and evaluating ML models in real-world settings Strong command of classical ML algorithms (e.g., linear/logistic regression, tree-based methods, clustering, dimensionality reduction, time-series basics) Experience with neural networks: architectures (MLPs, CNNs, RNNs/transformers where relevant), training dynamics, regularization, and optimization Hands-on experience with generative ML: generative models, fine-tuning, prompt/workflow design, evaluation of generative outputs, and practical deployment considerations Solid understanding of model evaluation: cross-validation, leakage prevention, calibration, bias/variance trade-offs, and metric selection tied to business outcomes Ability to read, synthesize, and apply research, and to judge when research-grade complexity is (or isn't) justified Experience with major ML stacks (e.g., scikit-learn, XGBoost/Light GBM, PyTorch, Tensor Flow, Hugging Face) , not necessarily all of them MLOps & Production MLFamiliarity with MLOps workflows: experiment tracking, model versioning, reproducible pipelines, CI/CD for ML, and model registry patterns is a plus Familiarity with deployment and serving (batch, streaming, or API-based) and production monitoring (drift, performance degradation, data quality) is a plus Practical knowledge of cloud ML infrastructure (e.g., AWS, GCP, or Azure ML services, Kubernetes, or equivalent) is a plus Software Engineering Proficiency in Python Solid fundamentals in the software development lifecycle: design, coding standards, testing, code review, versioning, and incremental delivery Experience building maintainable ML code, not just notebooks Communication & Collaboration Excellent written and spoken English, with the ability to write clear technical docs, design notes, and stakeholder updates Outstanding communication skills, able to explain complex ML concepts to both technical and non-technical audiences Comfortable presenting results, risks, and recommendations to cross-functional partners

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> <span></span></span><p>We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.</p><br><b>Job Duties</b> <br>Under direct supervision, performs necessary calculations for fluid mixing and pumping at the worksite as needed. Performs equipment rig-up and rig-down on worksite and the prepares equipment for performing a job. Ensures customer satisfaction with work performed. Responsible for chemical transfer and mixing systems operation and management of the chemical inventory at the worksite. As needed, performs data collection and data distribution on jobs. Coordinates and participates in clean up, repair, and preparation of equipment for the next job. Utilizes competency processes to enhance employee skills development and job performance. Job tasks, correctly performed, impact directly on cost containment, efficiency and profitability of operations. Skills are typically acquired through completion of HES career development requirements as Svc Operator l. Must possess exceptional skills within the service line and have a general understanding of other service functions. Must be knowledgable of HMS and HSE standards and guidelines for PSL personnel. Valid license to operate a motor vehicle is required. Promotes safety awareness and environmental consciousness. Promotes and takes an active part in quality improvement processes. Consequences of error are easily measured and can be confined.<br><br><b>Qualifications</b> <br><br><br><p><strong>Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation</strong>.</p><br> <p><strong><u>Location</u></strong></p><br> <p>Plot #30 North Kattamey,&nbsp;Cairo,&nbsp;Cairo,&nbsp;, Egypt</p><br> <p><strong><u>Job Details</u></strong></p><br> <p><strong>Requisition Number:</strong>&nbsp;210262&nbsp;&nbsp;<br><strong>Experience Level:&nbsp;</strong>Experienced Hire&nbsp;<br><strong>Job Family:</strong>&nbsp;Operations&nbsp;<br><strong>Product Service Line:&nbsp;</strong>Pipeline and Process Services&nbsp;&nbsp;&nbsp;<br><strong>Full Time / Part Time:&nbsp;</strong>Full Time</p><br> <p><strong>Additional Locations for this position:&nbsp;</strong></p><br> <p><u><strong>Compensation Information</strong></u><br>Compensation is competitive and commensurate with experience.</p><br> </div>

Job Overview:<br> As a Tour Operator, you will be responsible for coordinating and organizing tours for customers, ensuring they have an enjoyable and memorable travel experience. You will handle various aspects of tour operations, from designing itineraries and managing bookings to overseeing logistics and providing exceptional customer service. Your role is essential in ensuring the smooth execution of travel packages and client satisfaction.<br> Key Responsibilities:<br> • Tour Planning and Itinerary Development Design and develop customized tour packages for various destinations, including excursions, accommodations, transport, and activities. Ensure tours meet client needs and interests while staying within budget and operational constraints.• Booking and Coordination Handle bookings for tours, transportation, accommodations, and activities in a timely and accurate manner. Confirm reservations, manage cancellations, and handle payment processes. Coordinate with hotels, transport services, tour guides, and other service providers to ensure smooth operations.• Budget Management and Reporting Help manage the budget for each tour, ensuring profitability while maintaining high service standards. Monitor tour costs, expenses, and overall financial performance. Provide feedback and reports to management on tour performance and customer satisfaction. Skills and Qualifications:Educational Requirements:Bachelor’s degree• Experience:Proven experience in tour operations or the travel and hospitality industry (1-3 years). Strong knowledge of popular travel destinations, cultural norms, and tourism services.• Key Skills:Excellent communication and interpersonal skills. Strong organizational and time-management abilities. Customer-focused with the ability to handle customer issues and requests effectively. Knowledge of budgeting and financial management for tours.• Languages:Fluency in Language French Working Conditions:Full-time position Salary and Benefits:Competitive salary based on experience. Plus comm.

We are hiring a Machine Learning Engineer / Applied Scientist to develop and improve LLM-driven solutions across operational and automation workflows. The role will focus on fine-tuning models, building evaluation frameworks, and improving model accuracy for domain-specific use cases. You will work closely with engineering teams to integrate ML improvements into production environments and reduce hallucinations through grounded AI systems. This role is ideal for a hands-on ML professional who can own model quality, experimentation, and continuous improvement.<br>About us NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.<br>Key Responsibilities Fine-tune and optimize Large Language Models for domain-specific tasks such as estimation, planning, and automation. Design and implement evaluation frameworks using automated metrics, human evaluation, and model-based assessment. Build and maintain RAG pipelines that ground model outputs in codebase, documentation, and operational data. Develop prompt engineering strategies and optimize prompt chains for multi-step AI workflows. Collaborate with software engineering teams to integrate model improvements into production services. Analyze model failure modes, identify accuracy gaps, and recommend targeted improvements. Establish baseline metrics, dashboards, and reporting to track model accuracy over time. Stay updated on LLM advancements and recommend relevant techniques for adoption.<br>Requirements MS or PhD in Computer Science, Machine Learning, NLP, Statistics, or a related quantitative field, or equivalent industry experience.3+ years of hands-on experience with deep learning, NLP, and LLM techniques.2+ years of experience fine-tuning language models.2+ years of experience building end-to-end ML pipelines, including data preparation, training, evaluation, and deployment. Strong Python skills with experience in deep learning and transformer-based frameworks. Experience with model evaluation methodologies and metrics such as BLEU, ROUGE, accuracy, F1, and human evaluation. Hands-on experience with RAG architectures, vector databases, embedding models, and prompt engineering. Ability to work independently and deliver results with minimal supervision.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Key Responsibilities Lead the entire ML lifecycle from data collection and analysis to model deployment, monitoring, and optimization. Apply deep learning and NLP techniques to develop solutions, potentially enhancing systems like search or recommendation engines. Design and implement end-to-end ML pipelines, incorporating MLOps best practices for CI/CD, containerization (Docker, Kubernetes), and cloud deployment ( AWS , GCP, Azure). Utilize LLM knowledge, including prompt engineering and fine-tuning, to build advanced generative AI applications and conversational AI solutions. Perform comprehensive data analytics, including statistical analysis and feature engineering, to inform model development and extract actionable insights from large datasets. Write production-quality, robust code in Python (and potentially other languages like Java or Scala), ensuring code quality through reviews and testing. Collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to translate business requirements into technical ML solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Proven experience as a Machine Learning Engineer with a strong portfolio of deployed production models. Proficiency in Python and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in data science methodologies, statistical analysis, and data analytics. Hands-on experience with MLOps tools and practices for managing the ML application lifecycle. Strong understanding of NLP and experience with LLMs and prompt engineering techniques. Solid software engineering background with knowledge of data structures, algorithms, and system design. Excellent problem-solving, communication, and collaboration skills.</p><p></p></section>

Communication Operator<br>Job Description 1- Operational–Monitoring Communication Channels to ensure proper routing of incoming and outgoing messages. – Facilitating Ship-to-Shore Communication. Serve as the primary point of contact for communication between vessels and onshore teams. Relay critical information such as weather updates, operational instructions, or emergency alerts. – Maintain detailed logs of all communication activities, including timestamps, message content, and recipients. – Compliance and ensuring all communications align with international maritime laws and AMPTC’s internal policies. – Coordination and Support maritime operations by facilitating coordination between different departments, such as purchasing, commercial and quality teams. 2- Administrational – Organize schedules, meetings, and correspondence. – Coordinate office operations and ensure smooth workflow. – Prepare reports, documents, and presentations<br>Qualifications: Bachelor’s degree in business administration, management, logistics, or related field. 2 / 3 years experience in operations, administration, or coordination roles. Advanced at English (written and spoken) Proficiency in Microsoft office, especially outlook, excel and word. strong organizational and time-management skills. ability to manage multiple tasks and meet deadlines. good problem-solving and decision-making abilities. strong communication and interpersonal skills.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><em><strong>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.</strong></em></p><br>Client Overview<p>Our client is a growing marketing organization supporting a portfolio of B2B startups and consumer brands across organic search, content, AI-search optimization, and growth analytics. The organization combines traditional SEO expertise with emerging Generative Engine Optimization (GEO) strategies and AI-native workflows to help clients improve visibility across both conventional search engines and AI-powered discovery platforms.</p><br><p>They are seeking a senior, hands-on operator who can independently own client relationships and execute sophisticated SEO, GEO, content, and analytics programs from strategy through implementation and reporting.</p><br>Role Overview<p>The <strong>AI Native Senior SEO &amp; GEO Operator</strong> will be responsible for owning SEO, Generative Engine Optimization (GEO), content operations, and growth analytics programs end-to-end across a portfolio of B2B startup and consumer accounts.</p><br><p>This is a multidisciplinary role combining the responsibilities of an SEO strategist, content operations manager, AI-tooling specialist, and client-facing account owner. The role will manage technical SEO initiatives, AI-search visibility, content strategy and publishing, analytics, client communications, and research-driven proposals for new and existing accounts.</p><br><p>The ideal candidate has deep SEO expertise, understands how search behavior is evolving across AI platforms, and is comfortable using AI tools such as Claude Code as part of sophisticated production and optimization workflows. They should be equally comfortable conducting technical audits, designing content architectures, managing large-scale editorial operations, and presenting findings to founders and other senior stakeholders.</p><br>Location<p><strong>Fully Remote (Work from Home)</strong></p><br>Key ResponsibilitiesAccount Ownership &amp; Client Management<ul><li><p>Serve as the primary SEO and GEO point of contact across assigned client accounts.</p><br></li><li><p>Own client deliverables from strategy and production through approval, implementation, and reporting.</p><br></li><li><p>Manage structured client review workflows in Notion, including versioned batches, per-post approval gates, and comment reconciliation.</p><br></li><li><p>Coordinate with client-side editorial reviewers, CMS administrators, founders, and other decision-makers.</p><br></li><li><p>Proactively manage approvals and ensure feedback is incorporated efficiently across current and future assets.</p><br></li><li><p>Translate individual reviewer feedback into systemic editorial and optimization standards that can be applied across large volumes of content.</p><br></li><li><p>Communicate with clients through Slack while adapting communication to each client’s preferred style and expectations.</p><br></li><li><p>Translate complex technical findings into clear, opportunity-focused recommendations for non-technical stakeholders.</p><br></li></ul>New Business &amp; SEO Proposals<ul><li><p>Execute a productized research-to-proposal process for prospective clients and SEO upsell opportunities.</p><br></li><li><p>Conduct comprehensive website audits and top-10 competitor analyses.</p><br></li><li><p>Perform customer, competitor, keyword, and search-intent research.</p><br></li><li><p>Evaluate alignment between target keywords, search intent, and existing website copy.</p><br></li><li><p>Establish GEO and AI-search visibility baselines.</p><br></li><li><p>Develop structured Notion proposals combining analysis, strategic recommendations, and sample content.</p><br></li><li><p>Translate research findings into clear opportunities and actionable growth strategies.</p><br></li></ul>Technical SEO<ul><li><p>Conduct crawl-based technical SEO audits to identify opportunities affecting organic search performance.</p><br></li><li><p>Perform indexation analysis and investigate issues affecting search engine discovery and visibility.</p><br></li><li><p>Evaluate and optimize schema implementation.</p><br></li><li><p>Conduct SERP-level analysis and optimization.</p><br></li><li><p>Translate technical findings into prioritized recommendations for clients and internal teams.</p><br></li><li><p>Maintain strong technical SEO standards across client websites and ongoing initiatives.</p><br></li></ul>GEO &amp; AI-Search Optimization<ul><li><p>Establish and measure AI-answer visibility baselines across <strong>ChatGPT, Perplexity, and Claude</strong>.</p><br></li><li><p>Develop strategies to improve client visibility within AI-generated answers and emerging search experiences.</p><br></li><li><p>Use <strong>Claude Code or equivalent AI tools</strong> for structured prompting, custom instructions, workflow development, and AI-assisted production.</p><br></li><li><p>Critically review AI-assisted outputs for accuracy, relevance, quality, and strategic alignment rather than relying on unverified AI output.</p><br></li><li><p>Create and maintain <strong>llms.txt</strong> and <strong>llms-full.txt</strong> files.</p><br></li><li><p>Develop answer-first, citation-ready content designed for both traditional and AI-powered search environments.</p><br></li><li><p>Build and maintain weekly GEO monitoring workflows.</p><br></li><li><p>Maintain internal audits against Google’s published guidance and incorporate relevant changes into client strategies.</p><br></li></ul>Content Strategy, Production &amp; Publishing<ul><li><p>Develop pillar and topic-cluster architectures aligned with organic growth opportunities.</p><br></li><li><p>Translate keyword, customer, competitor, and search-intent research into actionable content strategies.</p><br></li><li><p>Write and direct conversion-focused website and content copy.</p><br></li><li><p>Manage content production from planning through review, approval, and publication.</p><br></li><li><p>Publish and maintain content across different CMS environments.</p><br></li><li><p>Establish editorial governance and quality-control standards.</p><br></li><li><p>Ensure content consistently meets SEO, GEO, brand, conversion, and editorial requirements.</p><br></li><li><p>Build scalable processes capable of maintaining quality across high-volume content programs.</p><br></li></ul>Analytics, Growth &amp; Retention Consulting<ul><li><p>Conduct monthly, six-month, and annual Google Search Console audits for assigned clients.</p><br></li><li><p>Analyze organic search performance and identify opportunities for continued growth.</p><br></li><li><p>Connect SEO and content performance with broader client growth objectives.</p><br></li><li><p>Use performance data to prioritize future optimization and content initiatives.</p><br></li><li><p>Provide ongoing recommendations designed to strengthen client performance and retention.</p><br></li></ul>Executive Reporting &amp; Internal Communication<ul><li><p>Develop concise, CEO- and founder-ready reports translating SEO, GEO, content, and analytics performance into actionable insights.</p><br></li><li><p>Communicate key findings, opportunities, risks, and priorities clearly to senior stakeholders.</p><br></li><li><p>Maintain daily per-client Slack standups with agency leadership.</p><br></li><li><p>Support regular customer syncs with clear progress updates and next steps.</p><br></li><li><p>Maintain strong visibility into account status, outstanding approvals, deliverables, and upcoming priorities.</p><br></li></ul>QualificationsRequirements<ul><li><p>Senior-level experience owning SEO strategy and execution across multiple client accounts.</p><br></li><li><p>Demonstrated experience conducting technical SEO audits, including crawl analysis, indexation investigation, schema, and SERP optimization.</p><br></li><li><p>Experience developing and executing content strategies using pillar and topic-cluster architectures.</p><br></li><li><p>Experience managing content production, editorial review, quality control, and publishing across multiple CMS platforms.</p><br></li><li><p>Hands-on experience measuring or optimizing visibility across AI-search and answer platforms.</p><br></li><li><p>Experience using AI tools such as Claude Code or equivalent platforms as part of professional SEO, content, research, or operational workflows.</p><br></li><li><p>Experience analyzing organic search performance through Google Search Console.</p><br></li><li><p>Experience managing client relationships and communicating directly with founders, executives, editorial stakeholders, and technical teams.</p><br></li><li><p>Experience conducting competitor, customer, keyword, and website research to support strategic recommendations or new-business proposals.</p><br></li><li><p>Experience managing multiple accounts, deliverables, stakeholders, and approval processes simultaneously.</p><br></li></ul>Skills<ul><li><p>Advanced technical SEO capabilities across crawl-based auditing, indexation analysis, schema implementation, and SERP-level optimization.</p><br></li><li><p>Strong understanding of <strong>Generative Engine Optimization (GEO)</strong> and the factors influencing brand and content visibility across AI-powered search experiences.</p><br></li><li><p>Ability to evaluate visibility across <strong>ChatGPT, Perplexity, and Claude</strong> and translate findings into actionable optimization strategies.</p><br></li><li><p>Hands-on proficiency with <strong>Claude Code or equivalent AI tools</strong>, including structured prompting, custom instructions, and critical review of AI-assisted outputs.</p><br></li><li><p>Strong understanding of <strong>llms.txt, llms-full.txt</strong>, answer-first content structures, and citation-ready content.</p><br></li><li><p>Strong content strategy capabilities across keyword research, search intent, pillar/cluster architecture, conversion copy, and editorial governance.</p><br></li><li><p>Ability to manage structured content and client approval workflows using <strong>Notion</strong>.</p><br></li><li><p>Strong proficiency with <strong>Google Search Console</strong> for recurring performance audits and organic growth analysis.</p><br></li><li><p>Experience publishing and managing content across multiple CMS platforms.</p><br></li><li><p>Strong client and account management capabilities with the ability to translate technical concepts into clear, actionable recommendations.</p><br></li><li><p>Ability to create concise, executive-ready reports for founders and senior stakeholders.</p><br></li><li><p>Strong organizational skills with the ability to independently manage multiple accounts, deliverables, approval workflows, and reporting cadences.</p><br></li></ul>What Success Looks Like<ul><li><p>Client SEO, GEO, content, and analytics programs are managed end-to-end with clear ownership and consistent execution.</p><br></li><li><p>Technical SEO opportunities are identified, prioritized, communicated, and addressed systematically.</p><br></li><li><p>Clients improve visibility across both traditional search engines and AI-powered discovery platforms.</p><br></li><li><p>GEO visibility across ChatGPT, Perplexity, Claude, and emerging AI-search experiences is consistently measured and optimized.</p><br></li><li><p>Content programs operate efficiently through structured production, review, publishing, and quality-control processes.</p><br></li><li><p>Client feedback is translated into scalable standards that improve future content and deliverables.</p><br></li><li><p>Google Search Console audits consistently surface actionable organic growth opportunities.</p><br></li><li><p>Client leadership receives clear, concise reporting that connects technical findings with business opportunities.</p><br></li><li><p>New-business and upsell opportunities are supported by thorough research, compelling analysis, and actionable proposals.</p><br></li><li><p>Multiple client accounts remain organized, proactive, and strategically aligned without requiring significant day-to-day oversight.</p><br></li></ul>Opportunity<p>This role offers the opportunity to work at the intersection of traditional SEO, emerging AI-search optimization, content operations, analytics, and AI-native workflows. As the <strong>AI Native Senior SEO &amp; GEO Operator</strong>, you will have end-to-end ownership of sophisticated organic growth programs while helping define how brands adapt to an evolving search landscape.</p><br><strong><u>Application Process:</u></strong>To be considered for this role these steps need to be followed:<ul><li><p>Fill in the application form</p><br></li><li><p>Record a video showcasing your skill sets</p><br></li></ul> </div>