talent agent

Paekar Talent Agency

About Paekar Paekar is a dynamic modeling agency headquartered in Dubai, representing top-tier models, performers, and creative talent across the GCC and Mumbai. We specialize in casting for fashion, commercial, and entertainment projects, and are expanding our booking team to meet growing client demand. Role Overview We’re looking for a driven and well-connected Talent Booker to join our team. This is a commission-only role, ideal for someone with a strong network in the UAE fashion and entertainment industry and a proven track record of closing bookings. Key Responsibilities Source and secure bookings for Paekar’s talent across fashion, commercial, and entertainment projects. Build and maintain relationships with clients, production houses, brands, and casting directors. Negotiate rates, contracts, and schedules on behalf of talent. Collaborate with the agency team to match talent with suitable opportunities. Track and report sales performance and booking metrics. Why Join Paekar? Flexible work structure with unlimited earning potential. Access to a diverse and growing talent pool. Opportunity to shape the future of a fast-growing agency.

Booker - Model Agency (Commission Based)

Perfect Property Management

Job Description:We are looking for a CRM Agent to support our property management team by handling client inquiries, managing leads, and maintaining accurate records in the CRM system. The role involves daily communication with clients, coordinating with internal teams, and ensuring follow-ups are done on time. This position requires someone who is well-organized, responsive, and familiar with customer service processes in the real estate sector.Key Responsibilities:<ul><li>Respond to client inquiries and follow up with potential tenants and buyers</li><li>Maintain and update client records and lead status in the CRM system</li><li>Coordinate with sales, leasing, and maintenance teams for client support</li><li>Monitor and track leads to ensure timely responses and high conversion</li><li>Generate regular reports on client engagement and follow-ups</li></ul>Qualifications:<ul><li>Emirati is required for this position</li><li>Experience in customer service, real estate, or property management is preferred</li><li>Familiar with CRM systems and basic reporting</li><li>Strong communication and organizational skills</li><li>Able to multitask and work independently in a fast-paced environment</li></ul>Job Type: Full-time

CRM Agent ( Emirati - Talent )

SSW EXIM INTERNATIONAL

Influencer talent managerStrawHat Network---About UsStrawHat Network is a Mumbai-based influencer marketing and talent management agency representing 30+ creators across beauty, fashion, lifestyle, and entertainment. We collaborate with leading brands such as L&rsquo;Or&eacute;al, Maybelline, and Garnier to create powerful brand stories through creators.---Role OverviewWe are looking for an Influencer Talent Manager to manage and grow relationships with influencers, help them scale their personal brands, and collaborate with top brands across India.---Key ResponsibilitiesManage day-to-day communication and scheduling for assigned creators.Source, negotiate, and execute brand deals and collaborations.Ensure timely submission of deliverables and campaign reports.Assist in strategy development for creator growth (content ideas, collaborations, partnerships).Track creator performance metrics (engagement, growth, revenue).Coordinate with internal brand and creative teams for campaign execution.Maintain influencer data and project trackers.---Requirements1&ndash;3 years of experience in influencer management, PR, or social media (preferred).Strong communication and negotiation skills.Deep understanding of Instagram, YouTube, and short-form video trends.Organized, proactive, and relationship-driven personality.Ability to multitask and manage multiple creators simultaneously.---PerksWork with some of India&rsquo;s most exciting creators and brands.Fast-paced learning environment with growth opportunities.Exposure to major campaigns and influencer events.---Salary: Competitive (based on experience)Employment Type: Full-time---Job Type: Full-timePay: &#8377;200,000.00 - &#8377;650,000.00 per monthWork Location: In person

Influencer Talent Manager

This is an entry level job for recently graduated students with limited or no experience. Company Description Paekar is a global modeling and creative agency built on the belief that identity is not just seen, it's felt. We celebrate diversity, redefine beauty, and spotlight talent across borders with every face, frame, and story. Our mission is to provide a platform for diverse and unique talent to shine globally. At Paekar, we are committed to creating inclusive and inspiring work environments. Role Description This is a full-time hybrid role for a Sales Intern, meaning the role is based in Dubai, but some work from home is acceptable. The Sales Intern will be responsible for supporting the sales team with day-to-day activities, including maintaining customer relationships, assisting with sales strategies, and handling various customer inquiries. Additional tasks include coordinating with different departments, participating in sales training, and providing administrative support to help achieve sales targets. Qualifications Strong Communication and Customer Service skills Sales experience, including Sales Management and Training skills Ability to work in a hybrid environment, both from the office and home Proficiency in using sales software and CRM tools Problem-solving attitude with a proactive approach Experience in the modeling or creative industry is advantageous

Sales Intern - Talent Agency

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 The AI Acceleration Office builds the intelligence layer that powers Careem&rsquo;s ecosystem, and we are looking for a Senior Software Engineer to drive architecture and development of it. Our mission is to drive competitive value through an Agentic AI Platform, a system that can design, orchestrate, and manage autonomous AI agents across customer and operational journeys.
 
 
 
 About The Role
 
 
 
 As a Senior Software Engineer, you&rsquo;ll lead the architecture and development of the AI Agent Creation and Management Platform, an intelligent layer that enables scalable agent creation, orchestration, lifecycle management, and performance monitoring. You&rsquo;ll work across backend systems, AI infrastructure, and data orchestration, designing abstractions that connect LLMs, context, memory, and state into real-time adaptive agents. This is a hands-on leadership role, you&rsquo;ll design systems, ship code, mentor engineers, and influence Careem&rsquo;s long-term AI platform strategy.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Architect and implement the foundational services for Careem&rsquo;s Agentic AI Platform, covering agent creation APIs, orchestration pipelines, state machines, and monitoring layers.
 </li>
 <li>
 Design abstractions for multi-agent collaboration, memory persistence, and reasoning cycles integrated.
 </li>
 <li>
 Build scalable orchestration frameworks (LangGraph, or custom) that coordinate model calls, context injection, and multi-turn workflows across internal and external agents.
 </li>
 <li>
 Develop observability and governance systems for AI agents: tracing, metrics, auditing, and self-healing.
 </li>
 <li>
 Integrate LLM-based and retrieval-augmented components into backend services with strict latency, reliability, and compliance requirements.
 </li>
 <li>
 Work with data scientists and ML engineers to operationalize models (embedding stores, vector databases, evaluation pipelines, model versioning).
 </li>
 <li>
 Establish standards for agent safety, lifecycle management, and deployment reliability across Careem&rsquo;s product ecosystem.
 </li>
 <li>
 Mentor engineers and shape platform-wide engineering practices around AI integration and distributed systems design.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 6+ years of backend or distributed systems engineering experience, with 2&ndash;3 years in AI/ML infrastructure or LLM-based systems.
 </li>
 <li>
 Deep hands-on experience in Python and Go, with production experience in building scalable, event-driven architectures.
 </li>
 <li>
 Expertise in orchestration and distributed compute (Kubernetes).
 </li>
 <li>
 Experience in building end-to-end event-drive architecture and data pipelines (Kafka, Airflow and Flink)
 </li>
 <li>
 Familiarity with agentic frameworks (LangGraph, LangChain, AutoGen) and design of multi-agent or RAG systems.
 </li>
 <li>
 Experience in integrating LLMs and vector stores (FAISS, Pinecone, Weaviate, Milvus) into backend applications.
 </li>
 <li>
 Solid understanding of model and agent observability, monitoring, and continuous evaluation.
 </li>
 <li>
 Strong architectural skills, capable of designing systems that balance scalability, cost, and experimentation velocity.
 </li>
 <li>
 Experience working with data streaming, metrics, and real-time feedback loops.
 </li>
 <li>
 Growth mindset and bias for ownership, you thrive in high-autonomy, fast-paced, and purpose-driven environments.
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Senior Software Engineer II - AI Platform

Selfdrive

Job Role: AI Engineer- UAE BasedJob Summary:We are seeking a versatile AI Engineer to design, develop, and deploy AI-powered solutionsacross various business domains. This role requires a broad understanding of AI/MLtechnologies and the ability to translate business requirements into practical AI applications.Key ResponsibilitiesAI Solution Development<ul><li>Design and implement end-to-end AI applications from concept to production</li><li>Integrate Large Language Models (LLMs) and foundation models into business applications</li><li>Build RAG (Retrieval-Augmented Generation) systems and conversational AI interfaces</li><li>Develop autonomous AI agents and multi-agent systems for complex task automation</li><li>Implement MCP-compliant tool integrations for enhanced agent capabilities</li><li>Design agent-to-agent communication systems for collaborative problem solving</li><li>Create distributed agent networks with proper message passing and state synchronization</li><li>Design and implement AI workflows and orchestration pipelines for business processes</li><li>Create agentic systems with tool-calling, reasoning, and decision-making capabilities</li><li>Create proof-of-concepts and MVPs for AI-driven features</li><li>Develop computer vision, NLP, and predictive analytics solutions based on requirements</li></ul>Technical Implementation<ul><li>Write production-quality code in Python and relevant frameworks</li><li>Implement APIs and microservices for AI model serving</li><li>Build robust AI agents with error handling, retry logic, and fallback mechanisms</li><li>Design stateful workflows and agent coordination systems</li><li>Implement MCP (Model Context Protocol) for standardized tool integration</li><li>Build agent-to-agent communication systems for collaborative AI workflows</li><li>Develop protocol adapters for cross-platform agent interoperability</li><li>Implement tool integrations for agents (APIs, databases, external services)</li><li>Optimize model inference for latency and throughput requirements</li><li>Build data pipelines for model training and inference</li><li>Ensure scalability, reliability, and maintainability of AI systems</li></ul>Model Management<ul><li>Fine-tune and adapt pre-trained models for specific use cases</li><li>Implement prompt engineering strategies for LLM applications</li><li>Deploy models using cloud services (AWS, GCP, Azure) and edge devices</li><li>Monitor model performance and implement retraining pipelines</li><li>Manage model versioning and A/B testing frameworks</li></ul>Cross-functional Collaboration<ul><li>Work with product teams to identify AI opportunities and requirements</li><li>Collaborate with data engineers on data infrastructure needs</li><li>Partner with DevOps for CI/CD pipeline implementation</li><li>Communicate technical concepts to non-technical stakeholders</li><li>Document AI solutions and create technical specifications</li></ul>Required QualificationsEducation &amp; Experience<ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or related field</li><li>3-5 years of experience in AI/ML engineering or related roles</li><li>Proven track record of deploying AI solutions in production environments</li></ul>Technical SkillsCore Programming &amp; Frameworks<ul><li>Strong proficiency in Python and its AI/ML ecosystem (NumPy, Pandas, Scikit-learn)</li><li>Experience with deep learning frameworks (PyTorch, TensorFlow, or JAX)</li><li>Familiarity with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)</li><li>Experience with AI agent frameworks (Langraph, AgentOps, Temporal)</li><li>Knowledge of MCP (Model Context Protocol) for tool and context management</li><li>Understanding of agent-to-agent communication standards and protocols</li><li>Experience with protocol bridges and agent interoperability solutions</li><li>Knowledge of workflow orchestration tools (Prefect, Dagster, Apache Airflow for AI</li><li>pipelines)</li><li>Understanding of function calling, tool use, and agent-environment interactions</li><li>Knowledge of web frameworks (FastAPI, Flask, or Django)</li></ul>AI/ML Expertise<ul><li>Understanding of machine learning algorithms and their applications</li><li>Experience with transformer models and attention mechanisms</li><li>Knowledge of AI agent architectures (ReAct, Chain-of-Thought, Tree-of-Thoughts)</li><li>Experience building autonomous agents and multi-agent orchestration systems</li><li>Familiarity with workflow automation tools and agentic frameworks (AutoGPT, CrewAI,</li><li>AutoGen)</li><li>Understanding of agent communication protocols (MCP - Model Context Protocol,</li><li>Agent-to-Agent protocols)</li><li>Experience implementing inter-agent communication and coordination mechanisms</li><li>Understanding of task planning, decomposition, and agent memory systems</li><li>Knowledge of computer vision techniques and frameworks (OpenCV, YOLO)</li><li>Familiarity with NLP techniques and libraries (spaCy, NLTK, Hugging Face)</li><li>Understanding of vector databases and embedding techniques</li></ul>Infrastructure &amp; Deployment<ul><li>Experience with containerization (Docker) and orchestration (Kubernetes)</li><li>Knowledge of ML deployment platforms (MLflow, Kubeflow, or SageMaker)</li><li>Familiarity with cloud AI services (OpenAI API, AWS Bedrock, Google Vertex AI)</li><li>Understanding of API design and RESTful services</li><li>Experience with version control (Git) and CI/CD pipelines</li></ul>Data &amp; Databases<ul><li>SQL proficiency and experience with relational databases</li><li>Knowledge of NoSQL databases (MongoDB, Redis)</li><li>Experience with vector databases (Pinecone, Weaviate, or Chroma)</li><li>Understanding of data processing and ETL pipelines</li></ul>Preferred QualificationsAdvanced Skills<ul><li>Master's degree in relevant field</li><li>Experience with MLOps practices and tools</li><li>Deep expertise in building production-grade AI agent systems</li><li>Hands-on experience with MCP implementation and custom MCP server development</li><li>Knowledge of agent-to-agent protocol design and implementation</li><li>Experience building federated agent networks and swarm intelligence systems</li><li>Expertise in cross-platform agent communication and handoff mechanisms</li><li>Experience with agent evaluation and testing frameworks</li><li>Knowledge of agent safety, alignment, and guardrails implementation</li><li>Experience with complex workflow orchestration and state management</li><li>Knowledge of distributed computing (Spark, Ray)</li><li>Familiarity with edge AI deployment</li><li>Experience with multimodal AI systems</li><li>Understanding of AI safety and responsible AI practices</li></ul>Domain Experience<ul><li>Experience in specific verticals (healthcare, finance, e-commerce, etc.)</li><li>Knowledge of regulatory requirements for AI systems</li><li>Experience with real-time AI applications</li><li>Background in data privacy and security</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical thinking abilities</li><li>Excellent communication skills for technical and non-technical audiences</li><li>Self-motivated with ability to work independently</li><li>Curiosity and passion for staying current with AI advancements</li><li>Experience mentoring junior team members</li></ul>Why Join Us:<ul><li>Cutting-Edge Work: Be part of a company that is redefining mobility tech through innovative solutions.</li><li>Collaborative Culture: Work alongside passionate engineers, product thinkers, and designers in a fast-paced environment.</li><li>Growth Opportunities: Get exposed to global projects, leadership responsibilities, and upskilling platforms.</li><li>Impact at Scale: Build technology that reaches thousands of users across the MENA region and beyond.</li><li>Employee-Centric Benefits: Competitive salary, visa support, and the opportunity to grow your career in a thriving tech ecosystem.</li></ul>If you're driven to create impactful mobile experiences and thrive in a fast-evolving tech environment, apply now and drive the future of mobility with us, - we want to hear from you!Apply Now &ndash; Send your CV to talent@self-drive.aeWorkplace Type: OnsiteApplication Open:Apply only if you can join us immediately or serving notice period.Location: B3, Office number 406, Dubai Commercity, Umm ramool, Al Rashidiya, Dubai, UAE.Job Types: Full-time, PermanentPay: Up to AED10,000.00 per month

AI Engineer

Accor

<div>Company Description 
&quot;Why work for Accor? 
We are far more than a worldwide leader. We welcome you as you are and you can find a job and brand that matches your personality. We support you to grow and learn every day, making sure that work brings purpose to your life, so that during your journey with us, you can continue to explore Accor&rsquo;s limitless possibilities. 
By joining Accor, every chapter of your story is yours to write and together we can imagine tomorrow's hospitality. Discover the life that awaits you at Accor, visit https://careers.accor.com/ 
 
 
Job Description 
Guest Service Agent 
First impressions are everything! As a Guest Service Agent, you will take care of the guests from the moment they arrive through to their departure by ensuring they have a memorable experience with us. 
 
What is in it for you:<ul><li>
Employee benefit card offering discounted rates at Accor worldwide.</li><li>
Learning programs through our Academies.</li><li>
Opportunity to develop your talent and grow within your property and across the world!</li>
Ability to make a difference through our Corporate Social Responsibility activities. 
<li>
</li></ul>What you will be doing:<ul><li>
Greet, check-in, respond to requests, and settle accounts while providing exceptional service.</li><li>
Take the initiative to add a personalized experience.</li><li>
Proudly promote the hotel facilities, looking for opportunities to enhance a guest&rsquo;s stay through up-selling.</li></ul> 

Qualifications 
Your experience and skills include:<ul><li>
Service focused personality is essential; experience is an asset.</li><li>
Prior experience working with Opera / Opera cloud or a related system.</li><li>
Fluency in English &amp; Arabic; additional languages are a plus.</li><li>
Bachelors or diplomas/certifications are required.</li><li>
Worked in 5* Hotel or relevant experience is a must with in Hotel industry.</li></ul> 

Additional Information 
Our commitment to Diversity &amp; Inclusion: 
We are an inclusive company and our ambition is to attract, recruit and promote diverse talent.</div>

Guest Service Agent

Search 9888+ Talent agent jobs near you this November. New roles added regularly across leading industries. Apply today.