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Role :The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full technical stack of modern AI engineering: training and fine-tuning ML models, building LLM powered applications, developing agentic workflows, and integrating AI solutions with Ooredoo's enterprise platform ecosystem. The AI Engineer works in close partnership with the AI Solutions Architect consuming architecture blueprints and raising implementation feedback and is instrumental in maintaining the reliability, performance, and continuous improvement of deployed AI systems.<br>About the Business Unit:AI & Data Governance team is responsible for developing and implementing data governance frameworks and AI strategies to ensure data integrity, security, compliance, and to drive innovation and operational excellence within Ooredoo. Additionally, the team manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization.<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Strong proficiency in Python and its AI/ML ecosystem: PyTorch or Tensor Flow, Hugging Face Transformers, Lang Chain, and related libraries. Practical experience building LLM applications prompt engineering, RAG pipelines, embedding models, vector databases (e.g., Pinecone, Weaviate,Azure AI Search). Experience with major cloud AI services: Azure Open AI Service, Azure AI Studio, AWS Bedrock, or Google Vertex AI. Solid software engineering fundamentals: REST API design and consumption, containerisation (Docker/Kubernetes), CI/CD pipelines, and Git-based workflows. Experience integrating AI systems with enterprise software platforms via APIs or event-driven architecture. Experience in designing, developing, and orchestrating agent-to-agent (A2A) solutions, enabling autonomous collaboration, decision-making, and task execution across multiple AI agents platforms. Experience with agentic AI frameworks: Lang Graph, Auto Gen, Crew AI, or Microsoft Semantic Kernel multi-agent orchestration. Familiarity with MLOps tooling: MLflow, Azure MLPipelines, Kubeflow, or similar model lifecyclemanagement platforms. Knowledge of BSS/OSS systems or CRM integration patterns in a telecommunications context. Experience with speech-to-text, text-to-speech, or multi-modal AI for voice-enabled self-service applications. Minimum Qualifications:Bachelor's Degree in Computer Science or Engineering or Similar

Role :The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full technical stack of modern AI engineering: training and fine-tuning ML models, building LLM powered applications, developing agentic workflows, and integrating AI solutions with Ooredoo's enterprise platform ecosystem. The AI Engineer works in close partnership with the AI Solutions Architect consuming architecture blueprints and raising implementation feedback and is instrumental in maintaining the reliability, performance, and continuous improvement of deployed AI systems.<br>About the Business Unit:AI & Data Governance team is responsible for developing and implementing data governance frameworks and AI strategies to ensure data integrity, security, compliance, and to drive innovation and operational excellence within Ooredoo. Additionally, the team manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization.<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Strong proficiency in Python and its AI/ML ecosystem: PyTorch or Tensor Flow, Hugging Face Transformers, Lang Chain, and related libraries. Practical experience building LLM applications prompt engineering, RAG pipelines, embedding models, vector databases (e.g., Pinecone, Weaviate,Azure AI Search). Experience with major cloud AI services: Azure Open AI Service, Azure AI Studio, AWS Bedrock, or Google Vertex AI. Solid software engineering fundamentals: REST API design and consumption, containerisation (Docker/Kubernetes), CI/CD pipelines, and Git-based workflows. Experience integrating AI systems with enterprise software platforms via APIs or event-driven architecture. Experience in designing, developing, and orchestrating agent-to-agent (A2A) solutions, enabling autonomous collaboration, decision-making, and task execution across multiple AI agents platforms. Experience with agentic AI frameworks: Lang Graph, Auto Gen, Crew AI, or Microsoft Semantic Kernel multi-agent orchestration. Familiarity with MLOps tooling: MLflow, Azure MLPipelines, Kubeflow, or similar model lifecyclemanagement platforms. Knowledge of BSS/OSS systems or CRM integration patterns in a telecommunications context. Experience with speech-to-text, text-to-speech, or multi-modal AI for voice-enabled self-service applications. Minimum Qualifications:Bachelor's Degree in Computer Science or Engineering or Similar

Key Activities<br>1. Experience selling regulated financial products via phone with adherence to scripts and compliance controls (industry banking practice) 2. Ability to work within governed telesales environments with call recording and quality assurance (Verification Needed) 3. Execute outbound and inbound telesales campaigns for credit card acquisition to achieve monthly card sales targets (+cards/month).4. Convert bank-provided leads and prescreened/preapproved prospects to activated cards, improving lead-to-sale conversion rate (+pp).6. Apply approved sales scripts and product propositions to ensure compliant selling and reduce mis-selling incidents (−incidents).7. Prioritize outreach using provided propensity models and lead lists to improve productivity per agent (+cards/FTE).8. Educate customers on card features, benefits, fees, and usage to improve activation rate within 30 days (+pp).8. Capture accurate customer information and update CRM/sales systems to maintain data quality (−rework/errors).9. Adhere to governance controls including call recording, quality checks, and policy compliance to meet audit standards (100% compliance).<br><br>KPIs<br>Monthly cards sold per agent (+cards/month) Lead-to-sale conversion rate (+pp) Card activation rate within 30 days (+pp) Sales quality score from call monitoring (% compliant) Productivity per agent (cards/FTE) Script adherence and compliance incidents (−count)<br><br>Knowledge and Experience <br>1. Credit card acquisition lifecycle knowledge (lead → sale → activation)2. Understanding of regulated sales environments and mis-selling prevention3. Familiarity with contact-centre operations, call handling, and CRM usage Nice-to-have:1. Experience with pre-screened or preapproved card sales models2. Exposure to cross-sell (debit-to-credit) or ETB reactivation campaigns3. Familiarity with UAE/GCC retail banking products and customer expectation Mandatory Skills1. Phone-based consultative selling and objection handling2. CRM and sales system data entry and hygiene3. Scripted sales execution with compliance focus4. Basic sales performance tracking (targets, productivity, conversion)

Key Activities<br>1. Experience selling regulated financial products via phone with adherence to scripts and compliance controls (industry banking practice) 2. Ability to work within governed telesales environments with call recording and quality assurance (Verification Needed) 3. Execute outbound and inbound telesales campaigns for credit card acquisition to achieve monthly card sales targets (+cards/month).4. Convert bank-provided leads and prescreened/preapproved prospects to activated cards, improving lead-to-sale conversion rate (+pp).6. Apply approved sales scripts and product propositions to ensure compliant selling and reduce mis-selling incidents (−incidents).7. Prioritize outreach using provided propensity models and lead lists to improve productivity per agent (+cards/FTE).8. Educate customers on card features, benefits, fees, and usage to improve activation rate within 30 days (+pp).8. Capture accurate customer information and update CRM/sales systems to maintain data quality (−rework/errors).9. Adhere to governance controls including call recording, quality checks, and policy compliance to meet audit standards (100% compliance).<br><br>KPIs<br>Monthly cards sold per agent (+cards/month) Lead-to-sale conversion rate (+pp) Card activation rate within 30 days (+pp) Sales quality score from call monitoring (% compliant) Productivity per agent (cards/FTE) Script adherence and compliance incidents (−count)<br><br>Knowledge and Experience <br>1. Credit card acquisition lifecycle knowledge (lead → sale → activation)2. Understanding of regulated sales environments and mis-selling prevention3. Familiarity with contact-centre operations, call handling, and CRM usage Nice-to-have:1. Experience with pre-screened or preapproved card sales models2. Exposure to cross-sell (debit-to-credit) or ETB reactivation campaigns3. Familiarity with UAE/GCC retail banking products and customer expectation Mandatory Skills1. Phone-based consultative selling and objection handling2. CRM and sales system data entry and hygiene3. Scripted sales execution with compliance focus4. Basic sales performance tracking (targets, productivity, conversion)

Company Description<br> Keller Williams is an international leader in real estate, operating in over 50 countries with an agent-centric, education-based, and technology-driven culture. Keller Williams Qatar is at the forefront of Qatar’s growing property market, supported by top-tier professionals and advanced systems. With a focus on empowering agents, the company delivers exceptional value and service to its clients. The organization prioritizes training, collaboration, and innovation to foster success in any market environment.<br> Role Description<br> This full-time, on-site role as a Real Estate Advisor is based in Doha, Qatar. The Real Estate Advisor will assist clients in buying, selling, and renting properties while providing expert advice on real property transactions. Key responsibilities include client relationship management, property negotiations, market analysis, and ensuring a smooth and efficient process in all real estate transactions. Additional duties may involve providing market insights, promoting properties, and participating in training programs to stay updated on industry trends.<br> Qualifications<br> Proficiency in Real Estate and Real Property practices Strong Sales and Negotiation skills Ability to engage in and benefit from professional Training programs Exceptional communication and interpersonal skills Familiarity with the Doha real estate market is preferred Proficiency in multiple languages is an advantage A valid real estate license or the ability to obtain one in Qatar

Company Description<br> Keller Williams is an international leader in real estate, operating in over 50 countries with an agent-centric, education-based, and technology-driven culture. Keller Williams Qatar is at the forefront of Qatar’s growing property market, supported by top-tier professionals and advanced systems. With a focus on empowering agents, the company delivers exceptional value and service to its clients. The organization prioritizes training, collaboration, and innovation to foster success in any market environment.<br> Role Description<br> This full-time, on-site role as a Real Estate Advisor is based in Doha, Qatar. The Real Estate Advisor will assist clients in buying, selling, and renting properties while providing expert advice on real property transactions. Key responsibilities include client relationship management, property negotiations, market analysis, and ensuring a smooth and efficient process in all real estate transactions. Additional duties may involve providing market insights, promoting properties, and participating in training programs to stay updated on industry trends.<br> Qualifications<br> Proficiency in Real Estate and Real Property practices Strong Sales and Negotiation skills Ability to engage in and benefit from professional Training programs Exceptional communication and interpersonal skills Familiarity with the Doha real estate market is preferred Proficiency in multiple languages is an advantage A valid real estate license or the ability to obtain one in Qatar

Company Description<br> Keller Williams is an international leader in real estate, operating in over 50 countries with an agent-centric, education-based, and technology-driven culture. Keller Williams Qatar is at the forefront of Qatar’s growing property market, supported by top-tier professionals and advanced systems. With a focus on empowering agents, the company delivers exceptional value and service to its clients. The organization prioritizes training, collaboration, and innovation to foster success in any market environment.<br> Role Description<br> This full-time, on-site role as a Real Estate Advisor is based in Doha, Qatar. The Real Estate Advisor will assist clients in buying, selling, and renting properties while providing expert advice on real property transactions. Key responsibilities include client relationship management, property negotiations, market analysis, and ensuring a smooth and efficient process in all real estate transactions. Additional duties may involve providing market insights, promoting properties, and participating in training programs to stay updated on industry trends.<br> Qualifications<br> Proficiency in Real Estate and Real Property practices Strong Sales and Negotiation skills Ability to engage in and benefit from professional Training programs Exceptional communication and interpersonal skills Familiarity with the Doha real estate market is preferred Proficiency in multiple languages is an advantage A valid real estate license or the ability to obtain one in Qatar

Company Description<br> Keller Williams is an international leader in real estate, operating in over 50 countries with an agent-centric, education-based, and technology-driven culture. Keller Williams Qatar is at the forefront of Qatar’s growing property market, supported by top-tier professionals and advanced systems. With a focus on empowering agents, the company delivers exceptional value and service to its clients. The organization prioritizes training, collaboration, and innovation to foster success in any market environment.<br> Role Description<br> This full-time, on-site role as a Real Estate Advisor is based in Doha, Qatar. The Real Estate Advisor will assist clients in buying, selling, and renting properties while providing expert advice on real property transactions. Key responsibilities include client relationship management, property negotiations, market analysis, and ensuring a smooth and efficient process in all real estate transactions. Additional duties may involve providing market insights, promoting properties, and participating in training programs to stay updated on industry trends.<br> Qualifications<br> Proficiency in Real Estate and Real Property practices Strong Sales and Negotiation skills Ability to engage in and benefit from professional Training programs Exceptional communication and interpersonal skills Familiarity with the Doha real estate market is preferred Proficiency in multiple languages is an advantage A valid real estate license or the ability to obtain one in Qatar

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p>Landlord Communication and Coordination: - Communicate with landlords who have purchased properties from Ariane Real Estate to secure property management contracts or brokerage agreements. - Serve as the primary point of contact for landlords regarding their units. - Provide landlords with regular updates on the status and performance of their units. Leasing Administration: - Handle administrative tasks for the leasing department, including maintaining records and ensuring accurate documentation. - Prepare and organize lease agreements and associated paperwork. - Ensure compliance with all relevant real estate regulations and company policies. - Follow up internally all the processes and documentation related to the units managed by Ariane Properties. Market Insights and Strategy: - Stay informed about local real estate trends and provide insights to landlords to enhance property value and market competitiveness. - Pursuit the landlords for potential Property Management contracts other than Ariane's - The Listing Agent may be required to perform additional tasks related to leasing operations as directed by management. These tasks may include, but are not limited to, coordinating with tenants, assisting in marketing efforts, preparing leasing reports, conducting market research, and supporting the leasing team in achieving operational goals. Additionally, the Listing Agent will be expected to temporarily assume the responsibilities of the Leasing Agent during their absence to ensure the continuity of leasing operations and tenant satisfaction.</p><p><strong>Desired Candidate Profile</strong></p><p>Experience: Real Estate, 1 year (Required) Language: Arabic (Required) Location: Doha (Required)</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p>The Iconic Rixos Gulf Hotel Doha introduces a unique lifestyle and luxurious services and products, Rixos warm hospitality, the vibrant entertainment programs, and the trendy and distinguished ALL INCLUSIVE food and beverage concepts with 378 beautifully appointed guest rooms, dream bedding and luxurious atmosphere. Join our motivated and vibrant team as <strong>Assistant Director of Sales&nbsp;</strong>and build your career with us.</p><br><br>Job Description<br><br><ol><li><ol><li><ol><li>PROSPECTIVE ACCOUNTS: Identifies prospective accounts and establishes goals for Key Accounts by analysing historical data and other statistical information and also by conducting accounts interviews and preparing customer action plans</li><li>FAIRS (domestic/International) : Attends fairs in order to represent the Hotel and/or region within a both according to the action plan within the Business/Marketing Plan of the Hotel. The fairs are attended in co-ordination with the Regional or Corp. Sales</li><li>DOMESTIC MARKET: Priority in sales activities are to be given to this market, for the local travel trade as well as for the corporate accounts</li><li>INTERNATIONAL MARKET: Has to be worked on in close co-ordination with the Country Director of Sales according to internal regulations</li><li>ROOMS: Regarding the availability and the co-ordination of rooms for high booking periods the final approval of availability is taken always by the Hotel operation’s management.</li><li>MARKET MIX: Emphasis on right market mix to maintain the quality of the product and to minimize market dependence on long term</li><li>CO-ORDINATION: Regular meetings with the hotel operation (Rooms Division, Reservation and Food &amp; Beverage) have to be held to exchange information and problem solving</li><li>Reduces administrative work to achieve a minimum of 5-7 personal sales/courtesy calls per day as well as 10 telephone sales/courtesy calls per day, without affecting promptness of flow of correspondence to accounts</li><li>Ensures that all incoming correspondence (inquiries, requests, offers, confirmations, etc.) are attended to and replied in due time</li></ol></li></ol></li></ol><br>Qualifications<br><br><p>Master Degree in Marketing or&nbsp; Diploma in vocational hospitality, 8 – 10 years experience in 4-5 star Hotel</p><br><br>Additional Information<br><br><ol><li><ol><li><ol><li>Maintains a monthly overview of vacation- and public holiday balance of all his/her staff and delivers a monthly consolidated summary to the Director of HR</li><li>He/she is familiar with all related company documentation and especially with the relevant Operational Standards Manual for his/her field of responsibility</li><li>Assumes responsibility of Duty Manager when scheduled to do so.</li><li>Other duties as assigned</li><li>Press Releases, PR activities, Advertisements etc. are executed and co-ordinated by the Country Director of Sales</li><li>Electronic Distribution Systems are up-dated by the hotel operation on regular basis</li><li>Assist in Task Force Teams for new openings</li><li>Carry out any other reasonable task (which may not be stated here) as requested</li></ol></li></ol></li></ol> </div>

<p>Landlord Communication and Coordination: - Communicate with landlords who have purchased properties from Ariane Real Estate to secure property management contracts or brokerage agreements. - Serve as the primary point of contact for landlords regarding their units. - Provide landlords with regular updates on the status and performance of their units. Leasing Administration : - Handle administrative tasks for the leasing department, including maintaining records and ensuring accurate documentation. - Prepare and organize lease agreements and associated paperwork. - Ensure compliance with all relevant real estate regulations and company policies. - Follow up internally all the processes and documentation related to the units managed by Ariane Properties. Market Insights and Strategy: - Stay informed about local real estate trends and provide insights to landlords to enhance property value and market competitiveness. - Pursuit the landlords for potential Property Management contracts other than Ariane's - The Listing Agent may be required to perform additional tasks related to leasing operations as directed by management. These tasks may include, but are not limited to, coordinating with tenants, assisting in marketing efforts, preparing leasing reports, conducting market research, and supporting the leasing team in achieving operational goals. Additionally, the Listing Agent will be expected to temporarily assume the responsibilities of the Leasing Agent during their absence to ensure the continuity of leasing operations and tenant satisfaction.</p><p><strong>Desired Candidate Profile</strong></p><p>Minimum of 3 years of experience in real estate, leasing, or property management. Experience with screening potential tenants and managing rental processes. Lease negotiations.</p>

<p>Design end-to-end AI solutions with a focus on creating business cases tailored for the sports, sport performance, education and medical industries. Consider machine learning, natural language processing, and data analytics to craft systems that optimize AI integration and functionality, specifically addressing sport-specific applications.</p><br><p>8+ years of experience in Solution Architecture with minimum of 4 years of experience in applied AI/ML projects.<br></p><p>Bilingual (Arabic Speaker) Mandatory<br></p><p><strong>Education:</strong></p><p>Bachelor's Degree in Computer Science</p><p>Or Artificial Intelligence, Data Science</p><p>Or Bachelors Degree in IT</p><p>Or Bachelors of Engineering<br></p><p><strong>AI Solution Architecture & Delivery:</strong></p><ul><li><p>Design and implement scalable AI architectures using cloud-native platforms (Azure AI Foundry, Google Agent Space).</p></li><li><p>Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.</p></li><li><p>Align AI solutions with organizational priorities in sports, healthcare, and education.<br></p></li></ul><p><strong>Enterprise System & Data Integration:</strong></p><ul><li><p>Integrate cloud AI services with ERP, CRM, medical, and sports performance platforms.</p></li><li><p>Enable connectivity between structured (databases, KPIs) and unstructured (documents, video, medical records) data sources.</p></li><li><p>Apply APIs, middleware, and automation tools to streamline data flows and pipelines.<br></p></li></ul><p><strong>AI Governance & Risk Management:</strong></p><ul><li><p>Ensure compliance with GDPR, HIPAA, and local data regulations.</p></li><li><p>Monitor AI systems for bias, transparency, and explainability.</p></li><li><p>Apply security and governance best practices in AI deployment.<br></p></li></ul><p><strong>Applied AI Enablement:</strong></p><ul><li><p>Deploy and customize existing AI models for real-world use cases.</p></li><li><p>Configure conversational AI, knowledge agents, and analytics tools to support operations.</p></li><li><p>Evaluate updates from cloud AI providers and implement improvements.<br></p></li></ul><p><strong>Stakeholder & Client Management:</strong></p><ul><li><p>Partner with internal stakeholders to identify opportunities for applied AI adoption.</p></li><li><p>Demonstrate practical AI solutions with measurable business value.</p></li><li><p>Act as a trusted advisor for AI-enabled transformation.<br></p></li></ul><p><strong>Performance & Scalability:</strong></p><ul><li><p>Optimize applied AI systems for speed, scalability, and reliability.</p></li><li><p>Implement monitoring and continuous improvement mechanisms.</p></li><li><p>Define KPIs and track ROI of AI deployments</p><p><br></p></li></ul><p><strong>Required Skillsets:</strong></p><br><p><strong>Education:</strong></p><p>Bachelor's Degree in Computer Science</p><p>Or Artificial Intelligence, Data Science</p><p>Or Bachelors Degree in IT</p><p>Or Bachelors of Engineering<br></p><p><strong>Certifications:</strong></p><ul><li><p>AI Software development related certifications such as MS Certified AI Developer or Architect</p><p>Or Azure AI Foundry and Google Cloud AI/ML platforms Or Software development related certifications such as MS Certified Developer or Architect</p><p><strong><br>Required</strong><br></p></li></ul><ul><li><p>Expertise in developing AI projects.</p></li><li><p>Proficient in AI concepts, tools, frameworks and models.</p></li><li><p>Proficient in multiple solution architecture techniques such as conducting architecture evaluation using scenarios, component modelling and impacts analysis</p></li><li><p>Proficient in SDLC, requirements analysis, high level and detailed technical design.</p></li><li><p>Proficiency in Azure AI Foundry for enterprise AI deployment and lifecycle management.</p></li><li><p>Hands-on expertise with Google Agent Builder, Google SDK for mobile agents, and multi-agent systems.</p></li><li><p>Strong knowledge of Advanced RAG for enterprise-scale knowledge management.</p></li><li><p>Skilled in database and data architecture (SQL, NoSQL, vector databases, knowledge graphs).</p></li><li><p>Ability to design applied AI systems that are secure, scalable, and performance-optimized.</p></li><li><p>Strong communication skills to bridge technical teams and business stakeholders.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Skillsets:</strong></p><ul><li><p>Expertise in developing AI projects.</p></li><li><p>Proficient in AI concepts, tools, frameworks and models.</p></li><li><p>Proficient in multiple solution architecture techniques such as conducting architecture evaluation using scenarios, component modelling and impacts analysis</p></li><li><p>Proficient in SDLC, requirements analysis, high level and detailed technical design.</p></li><li><p>Proficiency in Azure AI Foundry for enterprise AI deployment and lifecycle management.</p></li><li><p>Hands-on expertise with Google Agent Builder, Google SDK for mobile agents, and multi-agent systems.</p></li><li><p>Strong knowledge of Advanced RAG for enterprise-scale knowledge management.</p></li><li><p>Skilled in database and data architecture (SQL, NoSQL, vector databases, knowledge graphs).</p></li><li><p>Ability to design applied AI systems that are secure, scalable, and performance-optimized.</p></li><li><p>Strong communication skills to bridge technical teams and business stakeholders.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Description <br> <br> <br> <p><strong>About the role</strong></p><br><br><p>Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Distribution team as a Commercial Business Intelligence (CBI) Manager to be based in Doha, Qatar.</p><br><br><p>As a Commercial Business Intelligence (CBI) Manager, you will responsible for providing the analytical intelligence that enables Qatar Airways' Distribution &amp; Commercial Efficiency function to make faster, better-informed, and more commercially disciplined decisions. You will also be responsible for measuring, analyzing, and evaluating performance across distribution channels, commercial processes, sales programmes, payments and cost of sale; translating complex data into clear, actionable insights that drive efficiency, profitability, and value creation across the function. You will work to ensure that senior leadership has consistent, accurate, and decision-ready visibility of commercial effectiveness, distribution economics, and performance against targets.</p><br><br><p><strong>Specific responsibilities for the role include:</strong></p><br><br><ul><li><p>Lead the analysis of distribution channel performance across channels; including GDS, NDC, aggregators, and direct connect by identifying gaps, cost-to-serve inefficiencies, and channel mix optimisation opportunities, and translating findings into clear recommendations for the VP and Senior Managers.</p><br><br></li><li><p>Track and evaluate performance across points of sale, commercial segments, markets, and customer groups against commercial efficiency targets by providing structured, forward-looking insights that support distribution steering decisions and commercial programme design.</p><br><br></li><li><p>Monitor distribution costs versus value delivered by producing regular cost of sale analysis by channel, market, and partner, and recommend actions to optimise the channel mix, reduce distribution inefficiencies, and improve net revenue contribution.</p><br><br></li><li><p>Analyse the commercial impact of commercial structures, incentive programmes, and distribution agreements by providing data-driven assessments that enable the function to evaluate the ROI of commercial investment and make better allocation decisions.</p><br><br></li><li><p>Drive analysis in support of commercial strategy, distribution initiatives, and efficiency programmes; evaluating new commercial models, partnership structures, tools, or distribution approaches from a value and efficiency perspective, and measuring the impact of implemented actions with documented outcomes.</p><br><br></li><li><p>Oversee the production of all routine distribution, payments, and commercial efficiency performance reports, dashboards, and scorecards for leadership and commercial teams — ensuring all outputs are clear, actionable, and decision-ready rather than descriptive or data-heavy, and that a disciplined reporting cadence aligned to commercial operating rhythms is maintained at all times.</p><br><br></li><li><p>Validate the accuracy, consistency, and relevance of all operational commercial data prior to circulation by maintaining data quality standards and ensuring that all analytical outputs are built on a reliable, single version of commercial performance truth across the function.</p><br><br></li><li><p>Track and control distribution efficiency metrics including channel mix, cost of sale, cost of deal, sales productivity, and value contribution; operationally assessing the impact of distribution changes, commercial initiatives, payment or sales actions once implemented, and flagging inefficiencies, leakage, or weak ROI areas requiring corrective action.</p><br><br></li><li><p>Set up and maintain operational tracking frameworks for major commercial efficiency, payments and distribution initiatives by monitoring delivery against agreed targets, timelines, and benefits and reporting progress, risks, and realised outcomes to stakeholders in a structured manner.</p><br><br></li><li><p>Ensure CBI operational support is available during peak periods, commercial launches, negotiations, network disruptions, and ad-hoc leadership requests by providing rapid, reliable insights during time-sensitive commercial decisions and supporting business continuity requirements when needed.</p><br><br></li></ul><p><strong>Be part of an extraordinary story</strong><br>Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.<br>Together, everything is possible.</p><br><br> <br> <br> <br> <br> <br> General Information <br> <br> Ref # <br> 26000075 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Corporate &amp; Commercial <br> <br> <ul><li><span>Closing Date:</span> <span>2026-06-03</span></li></ul><br> <br> <br> <br> <br> <br> </div>