Irrigation Engineer Jobs in Jordan

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>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<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p> <h4>Responsibilities:</h4> <ol> <li><strong>Strategy & architecture leadership</strong><br> Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br> Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br> Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br> Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br> Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li> <li><strong>AI solution design & technical oversight</strong><br> Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br> Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br> Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br> Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br> Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br> Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li> <li><strong>Platform engineering & infrastructure</strong><br> Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br> Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br> Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br> Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br> Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li> <li><strong>Governance, compliance & responsible AI</strong><br> Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br> Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br> Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br> Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br> Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li> <li><strong>Technical leadership & enablement</strong><br> Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br> Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br> Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br> Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br> Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li> <li><strong>Stakeholder engagement & communication</strong><br> Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br> Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br> Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br> Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li> </ol> <h4>Requirements</h4> <p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br> Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br> Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br> TOGAF or equivalent enterprise architecture certification is preferred.<br> 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br> 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br> Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br> Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br> Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br> Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p> <p><strong>AI & technology skills:</strong><br> Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br> Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br> Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br> Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br> Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br> Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br> Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br> Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>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<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary Muller's Solutions is seeking an experienced Aconex Solution Architect (Technical Lead) to lead the architecture, implementation, deployment, and optimization of Oracle Aconex solutions.<br> The successful candidate will be responsible for designing scalable solutions, leading technical delivery, configuring the Aconex platform, and ensuring successful implementation throughout the project lifecycle.<br> This role requires a strong blend of solution architecture, technical leadership, stakeholder engagement, and hands-on Oracle Aconex expertise.<br> Key Responsibilities Lead the end-to-end implementation and deployment of Oracle Aconex solutions.<br> Design scalable Aconex solution architectures based on business and project requirements.<br> Gather and analyze business and technical requirements and translate them into solution designs.<br> Configure Oracle Aconex projects, document structures, workflows, forms, correspondence, user roles, permissions, and security settings.<br> Develop implementation strategies, deployment plans, and solution roadmaps.<br> Lead technical workshops and provide expert guidance to business and project stakeholders.<br> Design and oversee integrations between Oracle Aconex and enterprise applications using available APIs and integration methods.<br> Plan and execute document and data migration activities from legacy systems to Oracle Aconex.<br> Lead system configuration, testing (SIT/UAT), go-live activities, and post-implementation support.<br> Ensure compliance with document control standards, governance policies, and industry best practices.<br> Troubleshoot complex technical issues and recommend effective solutions.<br> Prepare solution architecture documents, technical specifications, deployment guides, and implementation documentation.<br> Provide technical leadership, mentoring, and support to project teams throughout the implementation lifecycle.<br> Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, Construction Management, or a related field.<br> 8–10+ years of relevant experience , including extensive hands-on experience with Oracle Aconex.<br> Proven experience leading Oracle Aconex implementation and deployment projects from initiation through go-live.<br> Strong expertise in Aconex configuration, document control, workflows, correspondence management, forms, and security.<br> Experience designing enterprise document management solutions and implementation strategies.<br> Experience integrating Oracle Aconex with enterprise systems and external applications.<br> Strong understanding of document management, project information management, and engineering/construction workflows.<br> Excellent analytical, problem-solving, communication, and stakeholder management skills.<br> Experience leading technical teams and coordinating implementation activities.<br> Preferred Qualifications Oracle Aconex certifications are highly desirable.<br> Experience in engineering, construction, infrastructure, real estate, or capital projects.<br> Knowledge of document control best practices and project information management.<br> Experience with APIs, system integrations, and data migration.<br> Familiarity with cloud-based enterprise applications and digital transformation initiatives.<br> Experience working in remote and cross-functional project environments.<br> Key Skills Oracle Aconex Architecture Oracle Aconex Implementation &amp; Deployment Solution Design Technical Leadership Document Control &amp; Document Management Workflow Configuration System Integration Data &amp; Document Migration User &amp; Security Configuration Stakeholder Management Technical Documentation Testing (SIT/UAT) &amp; Go-Live Support Problem Solving &amp; Troubleshooting</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p><p>Responsibilities:</p><ol><li>Strategy &amp; Architecture Leadership<ul><li>Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments</li><li>Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles</li><li>Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders</li><li>Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles</li><li>Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware</li></ul></li><li>AI Solution Design &amp; Technical Oversight<ul><li>Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance</li><li>Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints</li><li>Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance</li><li>Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability</li><li>Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions</li><li>Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows</li></ul></li><li>Platform Engineering &amp; Infrastructure<ul><li>Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling</li><li>Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards</li><li>Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers</li><li>Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data &amp; Analytics team</li><li>Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable</li></ul></li><li>Governance, Compliance &amp; Responsible AI<ul><li>Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes</li><li>Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns</li><li>Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository</li><li>Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements</li><li>Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning</li></ul></li><li>Technical Leadership &amp; Enablement<ul><li>Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team</li><li>Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team</li><li>Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality</li><li>Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments</li><li>Represent the company's AI technical standards in cross-functional project delivery teams and steering committees</li></ul></li><li>Stakeholder Engagement &amp; Communication<ul><li>Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences</li><li>Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges</li><li>Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments</li><li>Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation</li></ul></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field</li><li>Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred</li><li>Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred</li><li>TOGAF or equivalent enterprise architecture certification is preferred</li><li>7-10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation</li><li>4-6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment</li><li>Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment</li><li>Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred</li><li>Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred</li></ul><p>Skills:</p><p><strong>Technical Competencies:</strong></p><ul><li>AI/ML Architecture &amp; Solution Design</li><li>Cloud Platform Architecture (Azure / AWS / GCP)</li><li>ML Ops &amp; Model Lifecycle Management</li><li>Enterprise Integration &amp; API Design</li><li>Data Architecture &amp; Data Engineering</li><li>AI Governance, Ethics &amp; Responsible AI</li><li>Pharmaceutical Regulatory Compliance (GxP, FDA, EMA)</li></ul><p><strong>AI &amp; Technology Skills:</strong></p><ul><li>Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design</li><li>Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling</li><li>Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns</li><li>Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms</li><li>Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines</li><li>Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases</li><li>Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred)</li><li>Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a Senior Officer QA Engineer for our backend team at Almosafer. You will be part of the QA team focused on delivering the best experiences for our customers using your testing skills, as well as ensuring the best experience through fast and working software. You ll be the confidence aspect of the team.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2-3 Years of solid experience within Software testing</li><li>JAVA or any related programming language (one at least)</li><li>Hands-on git command line</li><li>Experience with Rest Assured Framework and API testing</li><li>Strong knowledge of Software QA methodologies, testing types, tools, and processes.</li><li>Analytical thinking.</li><li>Attention to details.</li><li>Problem analysis and problem-solving.</li><li>Teamwork.</li><li>Project tracking tools</li><li>Agile familiar and have the ability to remote work</li><li>Travel and Tourism experience is a plus</li><li>Degree in Computer Science, Engineering or a related subject.</li></ul><p></p></section>

<div class="qMYqUG_convSearchResultHighlightRoot"> <div> <section class="text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])>*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto"> <div class="text-base my-auto mx-auto pb-8 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)"> <div class="[--thread-content-max-width:40rem] @w-lg/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group/turn-messages focus-visible:outline-hidden @[53.5rem]/main:[--thread-content-max-width:48rem] relative flex w-full min-w-0 flex-col agent-turn"> <div class="flex max-w-full flex-col gap-4 grow"> <div class="min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1" dir="auto" tabindex="0"> <div class="flex w-full flex-col gap-1 empty:hidden"> <div class="LR5Y_W_content markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling"> <h2 class="PDq2pG_selectionAnchorContainer" dir="auto">Job Summary</h2> <p dir="auto">The Children’s Museum Jordan is seeking a creative and technically skilled Architect to contribute to the design and development of interactive exhibits and educational environments. The role involves transforming educational concepts into engaging, safe, and child-friendly experiences through architectural design, technical drawings, 3D modelling, prototyping, and follow-up on fabrication and installation.</p> <p dir="auto">The Architect will also support the enhancement of existing exhibits and coordinate with relevant departments, contractors, suppliers, and fabricators to ensure that projects meet the Museum’s educational, technical, operational, quality, and safety requirements.</p> <h2 dir="auto">Key Responsibilities</h2> <ul> <li>Contribute to the design and development of innovative interactive exhibits that transform educational concepts into engaging, hands-on learning experiences for children.</li> <li>Prepare design concepts, sketches, mood boards, visual presentations, layouts, and design proposals for exhibits and related projects.</li> <li>Develop 2D and 3D designs, architectural drawings, technical drawings, construction details, and other documentation required for fabrication and installation.</li> <li>Develop prototypes, mock-ups, and proof-of-concept models, and participate in testing their functionality, safety, usability, and technical feasibility.</li> <li>Select suitable materials, finishes, colours, and interactive elements to ensure quality, durability, safety, accessibility, and ease of maintenance.</li> <li>Prepare technical specifications, Bills of Quantities (BoQs), scopes of work, and supporting documentation required for procurement, fabrication, and implementation.</li> <li>Review shop drawings, material samples, and fabrication details submitted by contractors and suppliers to ensure compliance with approved designs and specifications.</li> <li>Follow up on the fabrication and installation of exhibits and conduct the required site visits and technical inspections to ensure quality of implementation.</li> <li>Coordinate with contractors, suppliers, fabricators, consultants, and service providers to ensure that work is completed according to approved technical requirements and timelines.</li> <li>Collaborate with Education and Programs, Facilities and Maintenance, Visitor Experience, Marketing and Communications, Information Technology, and other relevant departments to integrate educational, operational, visual, and technical requirements into exhibit designs.</li> <li>Contribute to the design of interpretive panels, signage, wayfinding elements, environmental graphics, seasonal decorations, temporary exhibitions, and visual displays for Museum events.</li> <li>Conduct regular walkthroughs to assess the condition, safety, functionality, and overall presentation of exhibits and identify maintenance or improvement requirements.</li> <li>Recommend design enhancements to existing exhibits to improve visitor engagement, educational effectiveness, safety, accessibility, and operational sustainability.</li> <li>Maintain accurate and up-to-date design documentation, technical drawings, specifications, material schedules, modifications, and project records.</li> <li>Research emerging technologies, materials, and international best practices in interactive exhibit design and educational environments.</li> <li>Ensure compliance with the Museum’s quality standards, health and safety requirements, accessibility principles, policies, and procedures.</li> <li>Perform any other job-related duties assigned by the direct manager that are consistent with the nature and level of the position.</li> </ul> <h2 dir="auto">Qualifications and Experience</h2> <ul> <li>Bachelor’s degree in Architecture from a recognized university.</li> <li><strong>Three to five years of relevant professional experience</strong> in architecture, interior design, exhibition or exhibit design, educational environments, experiential design, or a related field.</li> <li>Practical experience in developing designs from the initial concept stage through technical documentation, fabrication, installation, and project completion.</li> <li>Experience in preparing technical drawings, construction details, technical specifications, and Bills of Quantities.</li> <li>Experience in coordinating with contractors, suppliers, and fabricators and following up on site implementation.</li> <li>Proficiency in <strong>SketchUp and AutoCAD</strong>.</li> <li>Proficiency in Adobe Creative Suite, particularly Photoshop and Illustrator, is an advantage.</li> <li>Excellent command of Arabic and English, both written and spoken.</li> <li>Applicants are preferably required to submit a <strong>portfolio</strong> demonstrating relevant projects and design work.</li> </ul> <h2 dir="auto">Required Skills</h2> <ul> <li>Creativity and the ability to translate educational concepts into practical and engaging design solutions.</li> <li>Strong architectural design, 3D modelling, technical drawing, and detailing skills.</li> <li>Good knowledge of construction materials, finishes, fabrication methods, and manufacturing processes.</li> <li>Ability to prepare professional visual presentations and design proposals.</li> <li>Strong project coordination, planning, and follow-up skills.</li> <li>Ability to review completed work and verify compliance with approved drawings and technical specifications.</li> <li>Strong analytical thinking and technical problem-solving skills.</li> <li>Accuracy, attention to detail, and commitment to quality and deadlines.</li> <li>Effective communication and collaboration within multidisciplinary teams.</li> <li>Ability to manage multiple tasks and projects simultaneously and prioritize workload effectively.</li> <li>Understanding of health and safety, accessibility, universal design, and child-friendly design principles.</li> <li>Willingness to perform both office and fieldwork, including visits to project sites and fabrication workshops when required.&nbsp;</li> </ul>

<p><h4>About us:</h4> <p>MBC Group is the largest owner and operator of satellite TV and radio networks, VOD, and digital services, based in Diplomatic Quarter, Riyadh. It broadcasts a portfolio of Arabic and Western entertainment channels as well as managing the Al Arabiya news channel. In addition, MBC Group owns and operates Shahid: the world’s leading Arabic VOD and SVOD streaming platform by MBC Group, offering premium content to Arab families, including binge worthy exclusive Shahid Original Series; Shahid Premieres; Arabic movies fresh off the box-office; live TV channels in true HD quality.</p> <h4>Key responsibilities:</h4> <ul> <li>Design, build, and maintain scalable, resilient cloud infrastructure across AWS and GCP.</li> <li>Develop and manage Kubernetes environments (EKS, GKE) and containerized services (ECS, Docker).</li> <li>Build and optimize CI/CD pipelines (e.g., Jenkins) to ensure fast, reliable software delivery.</li> <li>Implement Infrastructure as Code using Terraform and adopt GitOps practices with tools like ArgoCD.</li> <li>Automate operations with Bash and Python, while monitoring performance and ensuring high availability.</li> <li>Collaborate across teams, define best practices, and mentor junior engineers while leading technical initiatives.</li> </ul> <h4>Requirements:</h4> <ul> <li>5+ years of proven experience as a DevOps Engineer.</li> <li>Strong hands-on expertise with AWS and/or GCP.</li> <li>Deep knowledge of Kubernetes and container orchestration (EKS, GKE, ECS).</li> <li>Proficiency in CI/CD tools, especially Jenkins.</li> <li>Solid experience with Infrastructure as Code (Terraform) and GitOps tools like ArgoCD.</li> <li>Strong skills in Docker, scripting (Bash/Python), and cloud networking, security, and monitoring.</li> </ul> <h4>Preferred requirements:</h4> <ul> <li>AWS, GCP, or Kubernetes certifications.</li> <li>Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).</li> <li>Experience in the media or streaming industry.</li> <li>A passion for automation and continuous improvement.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Technical Architect to lead the design and implementation of technology solutions that support business objectives and align with enterprise architecture standards.<br> The ideal candidate will combine strong technical expertise with strategic thinking to deliver scalable, secure, and high-performing solutions while providing technical leadership across projects.<br> Key Responsibilities Design end-to-end technical architectures for enterprise systems, applications, and integrations.<br> Develop architecture blueprints, technical specifications, and solution design documentation.<br> Evaluate, recommend, and select appropriate technologies, frameworks, platforms, and tools based on business and technical requirements.<br> Provide technical leadership and guidance to development teams throughout the software development lifecycle.<br> Ensure solutions are scalable, secure, maintainable, and aligned with industry best practices and organizational standards.<br> Conduct architecture and code reviews to ensure compliance with technical standards and quality requirements.<br> Collaborate with business analysts, project managers, product owners, and key stakeholders to translate business requirements into effective technical solutions.<br> Identify technical risks, dependencies, and constraints, and develop mitigation strategies.<br> Design and oversee system integration approaches to ensure seamless interoperability between applications and platforms.<br> Stay up to date with emerging technologies, industry trends, and architectural best practices to drive innovation.<br> Mentor and support junior architects, developers, and technical team members by promoting knowledge sharing and continuous improvement.<br> Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.<br> Proven experience in solution or technical architecture, software design, and enterprise application development.<br> Strong understanding of cloud platforms, system integration, APIs, microservices, and enterprise architecture principles.<br> Experience with modern development frameworks, databases, and DevOps practices.<br> Excellent analytical, problem-solving, and communication skills.<br> Ability to collaborate effectively with cross-functional teams and influence technical decisions.<br> Relevant architecture or cloud certifications are considered an advantage.<br></span> </div>

<p><h4>Description</h4> <p><strong>About Maqsam</strong><br> Maqsam is the leading Arabic AI-powered contact center solution in the MENA region designed to revolutionize customer experience. Leveraging groundbreaking advancements in AI technology, Maqsam has spearheaded accurate Arabic call transcription, advanced analytics, and insights, along with unique AI modeling utilizing its in-house designed LLM.</p> <p><strong>Your opportunity</strong><br> As a senior AI agent architect, you will play a key role in designing, optimizing, and scaling AI-powered customer experiences for leading businesses across the region. You will be responsible for translating client requirements, business flows, and knowledge bases into reliable, high-performing AI agents that deliver accurate and natural interactions. This role involves structuring and improving knowledge sources, designing prompts and workflows, evaluating AI agent behavior, and continuously enhancing performance through testing and analysis. As the bridge between technical teams and client needs, you will collaborate closely with product, engineering, and customer success teams to ensure AI solutions are practical, scalable, and aligned with business goals. You will also contribute to defining best practices for AI agent architecture, prompt quality, and conversational design while helping shape the future of Arabic AI experiences at Maqsam.</p> <h4>Key responsibilities</h4> <ul> <li>Review client requirements, knowledge base documents, URLs, and business flows to assess readiness for AI agent implementation.</li> <li>Structure and optimize knowledge bases to improve retrieval quality, contextual accuracy, and agent reliability.</li> <li>Design, tune, and iterate on prompts, system messages, and agent instructions to improve response quality.</li> <li>Set up and improve AI agent workflows, actions, and interaction logic.</li> <li>Identify gaps, edge cases, and failure points in AI agent behavior and propose practical improvements.</li> <li>Define testing approaches for AI agents, including stress testing, scenario-based testing, and quality checks.</li> <li>Review testing results and client feedback, then translate them into clear improvements.</li> <li>Collaborate with product, engineering, customer success, and other teams to align AI agent behavior with client needs.</li> <li>Document decisions, issues, and recommendations clearly for internal teams and clients.</li> <li>Help define best practices for AI agent design, knowledge base structuring, prompt quality, and evaluation.</li> <li>Support and guide less experienced team members when needed.</li> </ul> <h4>Who we’re looking for</h4> <ul> <li>Strong technical background with hands-on experience in conversational AI, LLMs, AI agents, or chatbot platforms.</li> <li>Practical experience in prompt engineering, workflow design, automation systems, or AI agent configuration.</li> <li>Good understanding of knowledge base structuring, content quality, and how content impacts AI agent performance.</li> <li>Ability to analyze AI agent behavior, identify root causes of failures, and propose clear solutions.</li> <li>Experience with testing AI systems, including scenario testing, prompt evaluation, or quality assurance.</li> <li>Strong critical thinking and attention to detail.</li> <li>Excellent written and verbal communication skills, especially when explaining technical decisions or giving feedback.</li> <li>Ability to work effectively with cross-functional teams, including product, engineering, customer success, and client-facing teams.</li> <li>At least 2–3 years of relevant work experience is preferred.</li> <li>Experience with RAG systems, MCPs, external tools, APIs, or voice agents is a plus.</li> <li>Ability to work in a fast-changing environment and take ownership of ambiguous problems.</li> </ul> <h4>What we provide you</h4> <ul> <li>Join a world-class team at Maqsam, where your growth is our priority.</li> <li>A collaborative and friendly environment with flexible hours.</li> <li>Many opportunities to learn, grow, and become a world-class professional.</li> <li>A fair compensation.</li> <li>A culture that thrives on open communication and transparency.</li> <li>First-class health insurance.</li> <li>Part of something big: work with seasoned professionals and be proud of being part of the exciting world of SaaS business.</li> </ul></p><p></p>