account manager - real estate advertising platform

accountant

account manager

account manager - real estate advertising platform Jobs in Doha

call center agent

client advisor

property agent

ABH Real Estate Qatar

Company Overview: At ABH Real Estate, we're not just about selling and renting properties; we're about creating connections, building dreams, and turning aspirations into reality. in short period in the business, we have established ourselves as a leading real estate firm, renowned for our commitment to excellence, innovation, and integrity.Our company recognized recognized as one of the TOP 100 Real Estate Brokers and Developers of the World 2023 by Luxury Lifestyle Awards! because we are the most worthy, reliable, and trusted representatives of the luxury industry in various categories from around the world. This achievement highlights our dedication to providing top-notch services in luxury real estate.We are currently seeking to expand our dynamic team with a passionate and driven Real Estate Agent who shares our vision of redefining the real estate landscape. Position: Real Estate Agent in rentResponsibilities:<ul><li>Client Engagement: Engage with potential tenants to understand their needs, preferences, and budget constraints.</li><li>Property Showings: Conduct informative and engaging property viewings, highlighting the unique features and benefits of each rental property.</li><li>Rent Negotiation: Facilitate negotiations between landlords and tenants to secure favorable lease agreements for both parties.</li><li>Documentation: Assist clients in completing necessary rental paperwork and ensure compliance with legal requirements.</li><li>Relationship Management: Build and maintain strong relationships with landlords, tenants, and fellow team members to foster trust and collaboration.</li><li>Sales Negotiation: Representing the seller in negotiations with potential buyers to secure the best possible terms of sale.</li><li>Communication: Keeping the seller informed of market conditions, the progress of the sale, and feedback from viewings.</li><li>Closing the Deal: Guiding the seller through the closing process, including ensuring all legal and financial requirements are met.</li></ul>Requirements:<ul><li>Proven working experience as a real estate agent or real estate salesperson.</li><li>Ability to work independently combined with excellent interpersonal skills.</li><li>Strong sales, negotiation, and communication skills.</li><li>Pleasant and trustworthy.</li><li>Valid driving license and car</li></ul>Preferred Qualifications:<ul><li>Bachelor&rsquo;s degree</li><li>Driving license mandatory</li><li>Experience with CRM software.</li><li>Bilingual or multilingual abilities</li><li>Local hiring only</li></ul>Benefits:<ul><li>Competitive commission structure.</li><li>Opportunities for professional growth and development.</li><li>Supportive team environment.</li><li>Access to the latest industry technology and tools.</li><li>Full-Time Flexible working hours.</li></ul>if you are a motivated person that is seeking a new opportunitykindly apply send you cv via whatssup 70580206Job Type: Full-timeCompany Overview: At ABH Real Estate, we're not just about selling and renting properties; we're about creating connections, building dreams, and turning aspirations into reality. in short period in the business, we have established ourselves as a leading real estate firm, renowned for our commitment to excellence, innovation, and integrity.Our company recognized recognized as one of the TOP 100 Real Estate Brokers and Developers of the World 2023 by Luxury Lifestyle Awards! because we are the most worthy, reliable, and trusted representatives of the luxury industry in various categories from around the world. This achievement highlights our dedication to providing top-notch services in luxury real estate.We are currently seeking to expand our dynamic team with a passionate and driven Real Estate Agent who shares our vision of redefining the real estate landscape. Position: Real Estate Agent in rentResponsibilities:<ul><li>Client Engagement: Engage with potential tenants to understand their needs, preferences, and budget constraints.</li><li>Property Showings: Conduct informative and engaging property viewings, highlighting the unique features and benefits of each rental property.</li><li>Rent Negotiation: Facilitate negotiations between landlords and tenants to secure favorable lease agreements for both parties.</li><li>Documentation: Assist clients in completing necessary rental paperwork and ensure compliance with legal requirements.</li><li>Relationship Management: Build and maintain strong relationships with landlords, tenants, and fellow team members to foster trust and collaboration.</li><li>Sales Negotiation: Representing the seller in negotiations with potential buyers to secure the best possible terms of sale.</li><li>Communication: Keeping the seller informed of market conditions, the progress of the sale, and feedback from viewings.</li><li>Closing the Deal: Guiding the seller through the closing process, including ensuring all legal and financial requirements are met.</li></ul>Requirements:<ul><li>Proven working experience as a real estate agent or real estate salesperson.</li><li>Ability to work independently combined with excellent interpersonal skills.</li><li>Strong sales, negotiation, and communication skills.</li><li>Pleasant and trustworthy.</li><li>Valid driving license and car</li></ul>Preferred Qualifications:<ul><li>Bachelor&rsquo;s degree</li><li>Driving license mandatory</li><li>Experience with CRM software.</li><li>Bilingual or multilingual abilities</li><li>Local hiring only</li></ul>Benefits:<ul><li>Competitive commission structure.</li><li>Opportunities for professional growth and development.</li><li>Supportive team environment.</li><li>Access to the latest industry technology and tools.</li><li>Full-Time Flexible working hours.</li></ul>if you are a motivated person that is seeking a new opportunitykindly apply send you cv via whatssup 70580206Job Type: Full-timeWork Location: In person

Female Real Estate Agent

Company Overview: At ABH Real Estate, we're not just about selling and renting properties; we're about creating connections, building dreams, and turning aspirations into reality. in short period in the business, we have established ourselves as a leading real estate firm, renowned for our commitment to excellence, innovation, and integrity.Our company recognized recognized as one of the TOP 100 Real Estate Brokers and Developers of the World 2023 by Luxury Lifestyle Awards! because we are the most worthy, reliable, and trusted representatives of the luxury industry in various categories from around the world. This achievement highlights our dedication to providing top-notch services in luxury real estate.We are currently seeking to expand our dynamic team with a passionate and driven Real Estate Agent who shares our vision of redefining the real estate landscape. Position: Real Estate Agent in rentResponsibilities:<ul><li>Client Engagement: Engage with potential tenants to understand their needs, preferences, and budget constraints.</li><li>Property Showings: Conduct informative and engaging property viewings, highlighting the unique features and benefits of each rental property.</li><li>Rent Negotiation: Facilitate negotiations between landlords and tenants to secure favorable lease agreements for both parties.</li><li>Documentation: Assist clients in completing necessary rental paperwork and ensure compliance with legal requirements.</li><li>Relationship Management: Build and maintain strong relationships with landlords, tenants, and fellow team members to foster trust and collaboration.</li><li>Sales Negotiation: Representing the seller in negotiations with potential buyers to secure the best possible terms of sale.</li><li>Communication: Keeping the seller informed of market conditions, the progress of the sale, and feedback from viewings.</li><li>Closing the Deal: Guiding the seller through the closing process, including ensuring all legal and financial requirements are met.</li></ul>Requirements:<ul><li>Proven working experience as a real estate agent or real estate salesperson.</li><li>Ability to work independently combined with excellent interpersonal skills.</li><li>Strong sales, negotiation, and communication skills.</li><li>Pleasant and trustworthy.</li><li>Valid driving license and car</li></ul>Preferred Qualifications:<ul><li>Bachelor&rsquo;s degree</li><li>Driving license mandatory</li><li>Experience with CRM software.</li><li>Bilingual or multilingual abilities</li><li>Local hiring only</li></ul>Benefits:<ul><li>Competitive commission structure.</li><li>Opportunities for professional growth and development.</li><li>Supportive team environment.</li><li>Access to the latest industry technology and tools.</li><li>Full-Time Flexible working hours.</li></ul>if you are a motivated person that is seeking a new opportunitykindly apply send you cv via whatssup 70580206Work Location: In person

Rental Agents

Sales And Rental Agents Female

Spectrum Solution W.L L

Job Title: Telesales Agent (Telecom Industry)Location: Doha, Qatar Job Type: Full-timeJob Description: We are looking for a motivated and target-driven Telesales Agent to join our telecom sales team. The ideal candidate will have prior experience in telesales, preferably in the telecom industry, and should be confident in handling outbound calls, generating leads, and closing sales.Key Responsibilities:<ul><li>Make outbound calls to potential customers</li><li>Promote and sell telecom products and services</li><li>Generate and convert leads into successful sales</li><li>Achieve monthly sales targets and KPIs</li><li>Maintain customer records and update CRM systems</li><li>Follow up with customers to ensure sales closure</li><li>Provide excellent customer service and support</li></ul>Requirements:<ul><li>Previous experience in telesales (telecom industry preferred)</li><li>Any nationality can apply</li><li>Good communication skills in English, Hindi, and Arabic (preferred)</li><li>Strong persuasion and negotiation skills</li><li>Ability to work under pressure and meet targets</li><li>Basic computer knowledge</li></ul>Job Type: Full-timeLicense/Certification:<ul><li>QID (Required)</li></ul>Work Location: In person

Tele sales executive

VAM SYSTEMS

<div>Job Description 
We are currently looking Senior DevOps Engineer for our Qatar operations.
Server Administration Skills<ul><li>
Solid experience with Linux server administration (RHEL, CentOS, Ubuntu) including shell scripting (Bash), package management, and service configuration (systemd).</li><li>
Windows Server administration experience including IIS, Active Directory integration, and PowerShell scripting.</li><li>
Proficiency in network fundamentals: DNS, TCP/IP, SSL/TLS certificate management, firewall rules, and reverse proxy configuration (Nginx, Apache, HAProxy).</li><li>
Experience with virtualization and containerization: Docker, Kubernetes, VMware, or equivalent platforms.</li><li>
Expertise in backup and disaster recovery strategies for hosted DevOps tools and databases.</li><li>
Hands-on experience with monitoring solutions such as Prometheus, Grafana, Nagios, Zabbix, or equivalent.</li></ul>
Key Responsibilities<ul><li>
Administer and manage GitLab server including installation, upgrades, user management, access controls, and repository governance.</li><li>
Design, implement, and maintain CI/CD pipelines using Jenkins and GitLab CI/CD to support automated build, test, and deployment workflows.</li><li>
Configure and maintain Jenkins master/agent architectures; create and manage pipelines (Declarative and Scripted), plugins, and integrations.</li><li>
Install, configure, and administer Nexus Repository Manager for artifact storage, proxy, and distribution of Maven, npm, Docker, and other artifact formats.</li><li>
Manage Jira on-premises and Jira Cloud instances including installation, configuration, user permissions, workflows, schemes, and integrations with development tools.</li><li>
Set up and maintain SonarQube for static code analysis, quality gates, and integration with CI/CD pipelines to enforce code quality standards.</li><li>
Configure and manage Azure DevOps services including Boards, Repos, Pipelines, Artifacts, and Test Plans for end-to-end delivery management.</li><li>
Deploy and maintain Elasticsearch clusters including configuration tuning, index management, monitoring, and performance optimization.</li><li>
Perform server administration tasks including OS hardening, patch management, service monitoring, and troubleshooting on Linux/Windows environments.</li><li>
Implement and maintain infrastructure-as-code (IaC) practices using tools such as Terraform, Ansible, or similar frameworks.</li><li>
Collaborate with development teams to define DevOps best practices and drive continuous improvement of delivery pipelines.</li><li>
Monitor system health, availability, and performance; set up alerting and incident response procedures.</li><li>
Document configurations, runbooks, and operational procedures for all managed platforms.</li><li>
Ensure all platforms comply with organizational security standards and audit requirements.</li></ul>
Required Skills &amp; Experience
Tool / Platform- Required Expertise<ul><li>
GitLab : Server installation &amp; upgrades; CI/CD pipeline authoring (.gitlab-ci.yml); runner configuration; branch protection; merge request workflows; SAML/SSO integration; GitLab Container Registry management.</li><li>
Jenkins: Master &amp; distributed agent setup; Declarative &amp; Scripted pipeline development; plugin management (pipeline, credentials, SonarQube, Nexus, Git); Blue Ocean; folder &amp; view organization; shared libraries.</li><li>
Nexus Repository : Installation &amp; configuration of Nexus OSS/Pro; hosted, proxy, and group repository setup; Maven, npm, PyPI, Docker, and Helm chart repositories; cleanup policies; LDAP integration; blob store management.</li><li>
Jira (On-Prem &amp; Cloud) : Installation and migration of Jira Data Center; project and issue type configuration; workflow design; custom fields and screens; permission schemes; Jira Cloud administration; REST API integrations; JSM (Service Management) setup.</li><li>
SonarQube : Community/Developer/Enterprise edition setup; quality profile and quality gate configuration; CI/CD plugin integration; code coverage reporting; branch analysis; security hotspot management.</li><li>
Azure DevOps : Organization and project setup; Repos, Pipelines (YAML-based), Artifacts feed configuration; sprint boards; service connections; agent pool management; role-based access control (RBAC).</li><li>
Elasticsearch : Cluster installation and configuration (single-node and multi-node); index lifecycle management (ILM); shard allocation; snapshot &amp; restore; Kibana integration; security (TLS, role-based access); performance tuning and monitoring.</li></ul>
Joining time frame: 2 weeks (maximum 1 month)</div>

DevOps Engineer

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

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)

Explore 52+ Property agent in Doha this June. Find roles across top companies and apply now to boost your career.