business development officer - hr outsourcing for it & telecom sector

front desk agent

quality control nurse

arabic speaker - call center agent Jobs in Qatar

arabic speaker - call center agent

business development officer - hr outsourcing for it & telecom sector Jobs in Qatar

call center agent

call quality agent healthcare sector

Al Rayah Driving School

Call Center Agent Hindi/ Urdu SpeakerJob Title: Call Center Agent &ndash; Hindi/ Urdu Speaker Job Type: Full-TimeJob SummaryWe are seeking a professional and customer-focused Hindi/ Urdu Speaker Call Center Agent to join our team. The ideal candidate will handle inbound and outbound calls, assist customers with inquiries, provide accurate information, and ensure a high level of customer satisfaction. Strong communication skills in both Hindi/ Urdu and English are essential.Key Responsibilities<ul><li>Handle inbound and outbound customer calls professionally and efficiently</li><li>Respond to customer inquiries and provide accurate information regarding products and services</li><li>Resolve customer complaints and concerns in a timely manner</li><li>Maintain accurate records of customer interactions and transactions</li><li>Follow company procedures and service standards</li><li>Escalate complex issues to the appropriate department when necessary</li><li>Meet performance targets, including response time, call quality, and customer satisfaction</li><li>Maintain confidentiality of customer information</li></ul>Requirements<ul><li>Fluent in Hindi/ Urdu and English</li><li>Previous experience in a call center or customer service role is preferred</li><li>Excellent communication and interpersonal skills</li><li>Strong problem-solving and customer-handling abilities</li><li>Basic computer knowledge and familiarity with call center systems</li><li>Ability to work under pressure and manage multiple tasks</li><li>Flexible to work shifts, weekends, or holidays if required</li></ul>Preferred Qualifications<ul><li>Experience in customer support, telesales, or contact center operations</li><li>Positive attitude and strong teamwork skills</li></ul>Benefits<ul><li>Accommodation, Transportation</li><li>Competitive salary</li><li>Training and career growth opportunities</li><li>Supportive work environment</li></ul>Job Type: Full-timePay: Up to QAR2,000.00 per monthApplication Question(s):<ul><li>Are you fluent in speaking T agalog and able to communicate professionally with customers?</li></ul>Work Location: In person

Call Centre Agent

Scale AI

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don&rsquo;t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.
 
 
 Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.
 
 
 
 The Mission
 
 
 
 <ul>
 <li>
 Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.
 </li>
 <li>
 Systemic Evaluation &amp; Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments.
 </li>
 <li>
 Model Optimisation &amp; Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows.
 </li>
 <li>
 Drive Reliability &amp; Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments.
 </li>
 <li>
 Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights.
 </li>
 <li>
 Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments
 </li>
 <li>
 Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty.
 </li>
 <li>
 Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.
 
 
 </li>
 </ul>
 
 Ideally, You Have
 
 
 
 <ul>
 <li>
 Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable.
 </li>
 <li>
 Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system.
 </li>
 <li>
 Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets.
 </li>
 <li>
 Advanced Degree: A Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.
 
 
 </li>
 </ul>
 
 Nice to Haves
 
 
 
 <ul>
 <li>
 Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability.
 </li>
 <li>
 Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases.
 </li>
 <li>
 Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements.
 </li>
 <li>
 Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Machine Learning Engineer, Global Public Sector

Spectrum Solution W.L L

Hiring: Workforce Management Specialist (WFM)Location: Qatar Salary: QAR 6,000 &ndash; 8,000 Languages: Arabic &amp; English Gender: Male Experience: 1&ndash;3 years in Workforce Management / Call Center OperationsKey Responsibilities:<ul><li>Workforce forecasting and staff scheduling.</li><li>Capacity planning and intraday workforce management.</li><li>Monitor agent performance and utilization.</li><li>Analyze workload trends and recommend staffing adjustments.</li><li>Coordinate with Operations, Quality, and Training teams to meet service levels.</li></ul>Note: Candidates holding a Freelance Visa or Family Visa are preferred.Interested candidates may send their CVs to 77708191 with the subject line &quot;WFM&quot;.Work Location: In person

Workforce Management Specialist (WFM)

Kafu Facility Management

Job description:<ul><li>Take customer calls and provide accurate, satisfactory answers to their queries and concerns</li><li>De-escalate situations involving dissatisfied customers, offering patient assistance and support</li><li>Call clients and customers to inform them about the company&rsquo;s new products, services and policies</li><li>Guide callers through troubleshooting, navigating the company site or using the products or services</li><li>Review customer or client accounts, providing updates and information about billing, shipping, warranties and other account items</li><li>Collaborate with other call center professionals to improve customer service</li><li>Help to train new employees and inform them about the company&rsquo;s customer management policies</li><li>Microsoft Office Skills</li></ul>Requirements:<ul><li>Good command of English &ndash; Preferred or required depending on business needs</li><li>Previous experience in a call center or customer service role is an advantage</li><li>Excellent communication and interpersonal skills</li><li>Patience, empathy and ability to handle pressure</li><li>Basic computer and typing skills</li><li>Ability to work in shifts, including weekends and holidays, if required</li></ul>Job Type: Full-timePay: QAR5,000.00 - QAR6,000.00 per monthApplication Question(s):<ul><li>Are you ready to join immediately with N O C?</li></ul>Experience:<ul><li>Call Center Agent: 2 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li></ul>Work Location: In person

Customer Service Coordinator - Arabic Speaking

up town properties

مطلوب موظفة كول سنتر وحجز مواعيد &ndash; دوام كامل Call Center &amp; Appointment Coordinator &ndash; Full Timeتعلن شركة في الدوحة عن حاجتها إلى موظفة كول سنتر للانضمام إلى فريق العمل.A company in Doha is looking for a Call Center Agent to join the team.طبيعة العمل | Job Description:<ul><li>العمل مكتبي عبر الهاتف فقط</li><li>Office work by phone only</li><li>لا يوجد مقابلة مع العملاء أو استقبال جمهور</li></ul>No face-to-face customer meetings or front desk work<ul><li>الرد على الاتصالات وحجز المواعيد</li></ul>Answer calls and book appointmentsFollow up with clients and update dataالمتطلبات | Requirements:<ul><li>متابعة العملاء وتحديث البيانات</li><li>مقيمة في قطر وموجودة في الدوحة</li><li>Must be living in Qatar and based in Doha</li><li>أنثى فقط</li></ul>Female only<ul><li>العمر لا يزيد عن 35 سنة</li></ul>Age not more than 35 yearsPrevious experience in call center or phone customer serviceFluent English speakingGood computer skillsAble to work under pressureClear voice and professional communicationتفاصيل الوظيفة | Job Details:<ul><li>خبرة سابقة في الكول سنتر أو خدمة العملاء الهاتفية</li><li>إجادة اللغة الإنجليزية بطلاقة</li><li>مهارة استخدام الكمبيوتر</li><li>القدرة على العمل تحت الضغط</li><li>صوت واضح وأسلوب احترافي</li><li>الدوام: 8 ساعات يومياً</li><li>Full-time: 8 hours daily</li><li>الموقع: الدوحة &ndash; قطر</li></ul>Location: Doha &ndash; Qatar<ul><li>الراتب: يتم تحديده وقت المقابلة حسب الخبرة</li></ul>Salary will be decided during the interview based on experienceللمهتمات | For Applicants:يرجى إرسال السيرة الذاتية إلى البريد الإلكتروني التالي:Please send your CV to:khiami.marwa@gmail.comأو التواصل عبر رقم الهاتف / الواتساب:Or contact via phone / WhatsApp:50285508سيتم التواصل مع المرشحات المناسبات لتحديد موعد المقابلة. Only shortlisted candidates will be contacted for interviewPay: QAR4,000.00 - QAR5,000.00 per monthWork Location: Remote

مطلوب موظفة كول سنتر وحجز مواعيد/Call Center & Appointment Coordinator

EPAM Systems

<div>We're looking for a Senior AI Engineer (Python) to join our team in Doha, Qatar, in an onsite working mode.
This role offers the opportunity to work at the forefront of AI-driven software engineering, building scalable, production-ready AI solutions and transforming development processes to an AI spec-driven model. You will design and implement architectures for high-performance AI systems, optimize operational efficiency, and contribute to building and hardening agentic workflows. You will collaborate with global engineering teams to enhance standards, security, and reliability while driving innovation across AI-enabled development workflows.
Responsibilities<ul><li>
Design and deploy token-efficient AI search and retrieval architectures optimized for relevance and latency
</li><li>Define, evolve and operationalize AI specifications and templates for feature, architecture, code, test and deployment automation
</li><li>Develop metrics and tools to measure AI-driven development efficiency, quality and accuracy
</li><li>Build and productionize end-to-end pipelines including embeddings, vector stores, retrieval frameworks, prompt engineering and LLM integrations
</li><li>Create and strengthen agentic systems to orchestrate multi-step agent behaviors for engineering workflows
</li><li>Implement operational reliability and observability frameworks including monitoring, CI/CD pipelines, version management and reproducible deployments
</li><li>Coach and mentor engineering and product teams, review designs and elevate AI engineering practices
</li><li>Establish security guardrails, input/output validation and safety mechanisms for robust AI solutions
</li></ul>Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering or related field
</li><li>4+ years of experience building production-grade AI systems or 2+ years focusing on LLM/RAG solutions
</li><li>Proven experience with Retrieval-Augmented Generation (RAG) patterns, embeddings and vector databases
</li><li>Experience integrating with commercial and self-hosted LLM models
</li><li>Hands-on experience with AI agent frameworks such as LangChain or equivalent
</li><li>Strong backend engineering skills with Python as primary language and intermediate Java proficiency
</li><li>Experience with REST/gRPC APIs, containerized deployments and Kubernetes orchestration
</li><li>Familiarity with cloud services and infrastructure automation tools such as Ansible
</li><li>Strong knowledge of CI/CD processes applied to models, prompts and testing for AI-driven workflows
</li><li>Understanding of embeddings, semantic search and large-scale vector indexing
</li><li>Awareness of AI productivity tools such as GitHub Copilot, GitLab Duo or similar</li></ul>
We offer<ul><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel tickets for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul></div>

Senior AI Engineer (Python)

Vistas Global

ABOUT THE ROLEWe are looking for a friendly, professional Customer Service Agent to man our customer service stations across the Precinct. Handle guest enquiries, manage sales, and ensure all public areas remain clean and welcoming.KEY RESPONSIBILITIESCustomer Service &amp; Desk Operations<ul><li>Customer service stations and implement service strategies on each shift</li><li>Ensure correct setup of Concierge Desk, Telephone System, Music System, and POS Machines; report issues to Call Center</li><li>Respond to all incoming calls and desk enquiries promptly and professionally</li><li>Provide accurate information about events, activities, prices, and tickets</li><li>Lead tour groups around the Park when required</li><li>Meet and greet local and international visitors</li></ul>Financial &amp; Sales Duties<ul><li>Collect fees and assist with ticket sales</li><li>Manage Daily Petty Cash Float for Gift Vouchers, Business Services, and Water Shuttle Services</li><li>Maintain logs for credit card and cash sales; distribute to Call Center Supervisor</li><li>Ensure timely handover of sales receivables and daily banking of sales</li><li>Upload daily credit/debit card sales via POS and produce batch reports</li></ul>Inspections &amp; Reporting<ul><li>Conduct daily walkthroughs of Park public toilets and facilities; report cleanliness issues</li><li>Maintain daily log of calls and tickets logged with Call Center</li><li>Complete Daily Customer Service Report and submit to Supervisor</li><li>Issue monthly reports: Maintenance Log, Ticket Sales, Lost &amp; Found</li></ul>Administration &amp; Coordination<ul><li>Update key log book for Contractors/Operations Department</li><li>Coordinate taxi, limousine, valet, and premium parking requests</li><li>Promote TPQ loyalty programs and handle related issues</li><li>Return all out-of-hours enquiries received via Call Center</li></ul>Team &amp; Culture<ul><li>Maintain neat, professional appearance (5-star uniform standard)</li><li>Attend weekly Customer Service meetings</li><li>Handle customer complaints effectively, even with disgruntled guests</li><li>Assist other departments (Community Services, etc.) as required by management</li></ul>REQUIREMENTS<ul><li>Bachelor's degree</li><li>3&ndash;5 years of customer service experience (hospitality/parks preferred)</li><li>Cash handling &amp; POS skills</li><li>Shift flexibility (weekends/holidays)</li><li>Expertise in Excel,Word and Outlook.</li></ul>Pay: QAR4,000.00 per monthApplication Question(s):<ul><li>Do you agree with the salary bracket provided (QAR 4,000) ?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Language:<ul><li>Arabic (Required)</li></ul>Work Location: In person

Customer Service Officer

Explore 413+ Call quality agent healthcare sector in Qatar this July. Find roles across top companies and apply now to boost your career.