Python Developer Jobs in Qatar

Systems Limited – Middle East & Africa (Techvista) is looking for an experienced Senior Azure Dev Ops Engineer to design, implement, and optimize enterprise Dev Ops practices and cloud automation solutions. This role requires strong expertise in Azure Dev Ops, CI/CD automation, Infrastructure as Code, cloud technologies, and Dev Sec Ops to support enterprise-scale applications and digital transformation initiatives.<br>Key Responsibilities Design, implement, and maintain secure CI/CD pipelines for multi-environment deployments Lead the adoption of Dev Ops best practices across enterprise projects Develop and manage Infrastructure as Code (IaC) using Terraform Implement Dev Sec Ops practices, including security scanning, RBAC, secrets management, and compliance controls Build and maintain monitoring and observability solutions using Azure Monitor, Log Analytics, and related tools Manage source control, branching strategies, and release management using Azure Repos or Git Hub Support containerized applications and Kubernetes-based deployments Collaborate with development, infrastructure, and security teams to improve delivery processes Mentor engineers, conduct code reviews, and promote automation and continuous improvement Ensure high availability, scalability, and reliability of Dev Ops platforms and deployment pipelines<br>Requirements & Key Skills6–10 years of experience in Dev Ops engineering, with at least 3 years in a senior role Strong expertise in Azure Dev Ops Services and enterprise-scale CI/CD implementations Hands-on experience with Azure Pipelines, Azure Repos, and Azure Artifacts Strong knowledge of Azure Cloud services Experience with Infrastructure as Code using Terraform Hands-on experience with Docker, Kubernetes, Open Shift, and Azure Kubernetes Service (AKS) Experience with Git Hub, Nexus, Sonar Qube, Veracode, and related Dev Sec Ops tools Strong scripting skills using Power Shell, Bash, or Python Experience implementing Dev Sec Ops, vulnerability scanning, RBAC, and secrets management Strong understanding of monitoring and observability using Azure Monitor and Log Analytics Experience working in Agile, Scrum, or Kanban environments Strong analytical, troubleshooting, leadership, and communication skills Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

Systems Limited – Middle East & Africa (Techvista) is looking for an experienced Senior Azure Dev Ops Engineer to design, implement, and optimize enterprise Dev Ops practices and cloud automation solutions. This role requires strong expertise in Azure Dev Ops, CI/CD automation, Infrastructure as Code, cloud technologies, and Dev Sec Ops to support enterprise-scale applications and digital transformation initiatives.<br>Key Responsibilities Design, implement, and maintain secure CI/CD pipelines for multi-environment deployments Lead the adoption of Dev Ops best practices across enterprise projects Develop and manage Infrastructure as Code (IaC) using Terraform Implement Dev Sec Ops practices, including security scanning, RBAC, secrets management, and compliance controls Build and maintain monitoring and observability solutions using Azure Monitor, Log Analytics, and related tools Manage source control, branching strategies, and release management using Azure Repos or Git Hub Support containerized applications and Kubernetes-based deployments Collaborate with development, infrastructure, and security teams to improve delivery processes Mentor engineers, conduct code reviews, and promote automation and continuous improvement Ensure high availability, scalability, and reliability of Dev Ops platforms and deployment pipelines<br>Requirements & Key Skills6–10 years of experience in Dev Ops engineering, with at least 3 years in a senior role Strong expertise in Azure Dev Ops Services and enterprise-scale CI/CD implementations Hands-on experience with Azure Pipelines, Azure Repos, and Azure Artifacts Strong knowledge of Azure Cloud services Experience with Infrastructure as Code using Terraform Hands-on experience with Docker, Kubernetes, Open Shift, and Azure Kubernetes Service (AKS) Experience with Git Hub, Nexus, Sonar Qube, Veracode, and related Dev Sec Ops tools Strong scripting skills using Power Shell, Bash, or Python Experience implementing Dev Sec Ops, vulnerability scanning, RBAC, and secrets management Strong understanding of monitoring and observability using Azure Monitor and Log Analytics Experience working in Agile, Scrum, or Kanban environments Strong analytical, troubleshooting, leadership, and communication skills Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

Cards Analytics Specialist<br>Industry: Banking & Financial Services Location: Doha, Qatar (Onsite) Contract: 12 Months (Extendable) About the Role We are looking for an experienced Cards Analytics Specialist to join a leading organization in the Banking & Financial Services industry. The successful candidate will support the Cards Product and Portfolio teams by delivering actionable insights that drive portfolio growth, customer engagement, profitability, and strategic decision making. This role is ideal for professionals with strong experience in credit and/or debit card portfolio analytics, business intelligence, and data visualization within the banking or payments sector. Key Responsibilities Develop and maintain recurring portfolio performance reports and dashboards covering acquisition, activation, spend, profitability, delinquency, retention, and portfolio health. Perform portfolio segmentation, cohort, vintage, and trend analysis to identify growth opportunities and business risks. Measure campaign effectiveness through ROI analysis, A/B testing, control group analysis, and post campaign reporting. Build interactive dashboards using Power BI or Tableau to support self service reporting. Partner with Product, Marketing, Risk, Finance, and Operations teams to provide data driven recommendations. Analyze customer behavior and portfolio performance to improve business outcomes. Automate recurring reports and enhance data quality and reporting efficiency. Present analytical findings and business recommendations to senior stakeholders. Required Skills & Experience7+ years of experience in Cards Analytics, Portfolio Analytics, Business Intelligence, or Data Analytics within Banking, Payments, or Financial Services. Hands on experience with credit and/or debit card portfolio analytics. Strong SQL and Advanced Excel skills. Experience with Power BI, Tableau, or similar data visualization tools. Strong understanding of portfolio KPIs including acquisition, activation, spend, retention, attrition, delinquency, profitability, and portfolio performance. Experience in customer segmentation, cohort analysis, campaign analytics, and business performance reporting. Excellent analytical, problem solving, and stakeholder management skills. Professional proficiency in English. Preferred Skills Python or RSASExperience with CRM or campaign management platforms Exposure to card management systems Experience in consumer lending or credit risk analytics Availability Immediate joiners or candidates with up to a 30 day notice period are preferred.

Cards Analytics Specialist<br>Industry: Banking & Financial Services Location: Doha, Qatar (Onsite) Contract: 12 Months (Extendable) About the Role We are looking for an experienced Cards Analytics Specialist to join a leading organization in the Banking & Financial Services industry. The successful candidate will support the Cards Product and Portfolio teams by delivering actionable insights that drive portfolio growth, customer engagement, profitability, and strategic decision making. This role is ideal for professionals with strong experience in credit and/or debit card portfolio analytics, business intelligence, and data visualization within the banking or payments sector. Key Responsibilities Develop and maintain recurring portfolio performance reports and dashboards covering acquisition, activation, spend, profitability, delinquency, retention, and portfolio health. Perform portfolio segmentation, cohort, vintage, and trend analysis to identify growth opportunities and business risks. Measure campaign effectiveness through ROI analysis, A/B testing, control group analysis, and post campaign reporting. Build interactive dashboards using Power BI or Tableau to support self service reporting. Partner with Product, Marketing, Risk, Finance, and Operations teams to provide data driven recommendations. Analyze customer behavior and portfolio performance to improve business outcomes. Automate recurring reports and enhance data quality and reporting efficiency. Present analytical findings and business recommendations to senior stakeholders. Required Skills & Experience7+ years of experience in Cards Analytics, Portfolio Analytics, Business Intelligence, or Data Analytics within Banking, Payments, or Financial Services. Hands on experience with credit and/or debit card portfolio analytics. Strong SQL and Advanced Excel skills. Experience with Power BI, Tableau, or similar data visualization tools. Strong understanding of portfolio KPIs including acquisition, activation, spend, retention, attrition, delinquency, profitability, and portfolio performance. Experience in customer segmentation, cohort analysis, campaign analytics, and business performance reporting. Excellent analytical, problem solving, and stakeholder management skills. Professional proficiency in English. Preferred Skills Python or RSASExperience with CRM or campaign management platforms Exposure to card management systems Experience in consumer lending or credit risk analytics Availability Immediate joiners or candidates with up to a 30 day notice period are preferred.

Cards Analytics Specialist<br>Industry: Banking & Financial Services Location: Doha, Qatar (Onsite) Contract: 12 Months (Extendable) About the Role We are looking for an experienced Cards Analytics Specialist to join a leading organization in the Banking & Financial Services industry. The successful candidate will support the Cards Product and Portfolio teams by delivering actionable insights that drive portfolio growth, customer engagement, profitability, and strategic decision making. This role is ideal for professionals with strong experience in credit and/or debit card portfolio analytics, business intelligence, and data visualization within the banking or payments sector. Key Responsibilities Develop and maintain recurring portfolio performance reports and dashboards covering acquisition, activation, spend, profitability, delinquency, retention, and portfolio health. Perform portfolio segmentation, cohort, vintage, and trend analysis to identify growth opportunities and business risks. Measure campaign effectiveness through ROI analysis, A/B testing, control group analysis, and post campaign reporting. Build interactive dashboards using Power BI or Tableau to support self service reporting. Partner with Product, Marketing, Risk, Finance, and Operations teams to provide data driven recommendations. Analyze customer behavior and portfolio performance to improve business outcomes. Automate recurring reports and enhance data quality and reporting efficiency. Present analytical findings and business recommendations to senior stakeholders. Required Skills & Experience7+ years of experience in Cards Analytics, Portfolio Analytics, Business Intelligence, or Data Analytics within Banking, Payments, or Financial Services. Hands on experience with credit and/or debit card portfolio analytics. Strong SQL and Advanced Excel skills. Experience with Power BI, Tableau, or similar data visualization tools. Strong understanding of portfolio KPIs including acquisition, activation, spend, retention, attrition, delinquency, profitability, and portfolio performance. Experience in customer segmentation, cohort analysis, campaign analytics, and business performance reporting. Excellent analytical, problem solving, and stakeholder management skills. Professional proficiency in English. Preferred Skills Python or RSASExperience with CRM or campaign management platforms Exposure to card management systems Experience in consumer lending or credit risk analytics Availability Immediate joiners or candidates with up to a 30 day notice period are preferred.

Job Description<br><br>Must Have<br><br> 3–5 years of software engineering experience, including hands-on experience building LLM or generative-AI features. Production experience with RAG pipelines, embeddings, and vector databases. Demonstrated ability to design, test, and refine prompts and orchestration logic for LLM-driven workflows. Focus on the generative-AI application layer — distinct from classical model training and MLOps. Enthusiasm for working with fast-moving generative-AI technologies. <br><br>Nice to Have<br><br> Exposure to OCI Generative AI services or other cloud AI platforms. Familiarity with agent frameworks and tool integration. Experience deploying applications to the cloud, ideally Oracle Cloud Infrastructure (OCI). Awareness of responsible-AI and safety considerations. Experience with vector database tuning and retrieval optimization. AI or cloud certifications. <br><br>Responsibilities<br><br> Develop generative-AI features and applications using large language models and foundation-model APIs. Implement retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, and vector search. Design, test, and refine prompts and orchestration logic for LLM-driven workflows. Build and integrate agentic components, tool-calling, and multi-step flows. Integrate AI capabilities into applications and services, including OCI Generative AI services. Evaluate model outputs against quality criteria and implement guardrails and validation checks. Build evaluation sets and run experiments to compare prompts, models, and configurations. Collaborate with senior AI engineers and product teams to deliver working AI features. Iterate on solutions based on evaluation results, performance, and user feedback. Document AI components, prompts, and integration patterns for maintainability. Contribute to internal reusable components and accelerators for generative-AI delivery. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience accepted. Proficiency in Python and experience with LLM frameworks (e.g., Lang Chain, Llama Index) and foundation-model APIs. Working knowledge of RAG, embeddings, and vector databases. Understanding of prompt engineering and orchestration techniques. Ability to evaluate and improve the quality and reliability of AI outputs. Solid general software-engineering skills, including version control and testing. Experience integrating APIs and building application features.

Job Description<br><br>Must Have<br><br> 3–5 years of software engineering experience, including hands-on experience building LLM or generative-AI features. Production experience with RAG pipelines, embeddings, and vector databases. Demonstrated ability to design, test, and refine prompts and orchestration logic for LLM-driven workflows. Focus on the generative-AI application layer — distinct from classical model training and MLOps. Enthusiasm for working with fast-moving generative-AI technologies. <br><br>Nice to Have<br><br> Exposure to OCI Generative AI services or other cloud AI platforms. Familiarity with agent frameworks and tool integration. Experience deploying applications to the cloud, ideally Oracle Cloud Infrastructure (OCI). Awareness of responsible-AI and safety considerations. Experience with vector database tuning and retrieval optimization. AI or cloud certifications. <br><br>Responsibilities<br><br> Develop generative-AI features and applications using large language models and foundation-model APIs. Implement retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, and vector search. Design, test, and refine prompts and orchestration logic for LLM-driven workflows. Build and integrate agentic components, tool-calling, and multi-step flows. Integrate AI capabilities into applications and services, including OCI Generative AI services. Evaluate model outputs against quality criteria and implement guardrails and validation checks. Build evaluation sets and run experiments to compare prompts, models, and configurations. Collaborate with senior AI engineers and product teams to deliver working AI features. Iterate on solutions based on evaluation results, performance, and user feedback. Document AI components, prompts, and integration patterns for maintainability. Contribute to internal reusable components and accelerators for generative-AI delivery. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience accepted. Proficiency in Python and experience with LLM frameworks (e.g., Lang Chain, Llama Index) and foundation-model APIs. Working knowledge of RAG, embeddings, and vector databases. Understanding of prompt engineering and orchestration techniques. Ability to evaluate and improve the quality and reliability of AI outputs. Solid general software-engineering skills, including version control and testing. Experience integrating APIs and building application features.

Job Description<br><br>Must Have<br><br> 3–5 years of software engineering experience, including hands-on experience building LLM or generative-AI features. Production experience with RAG pipelines, embeddings, and vector databases. Demonstrated ability to design, test, and refine prompts and orchestration logic for LLM-driven workflows. Focus on the generative-AI application layer — distinct from classical model training and MLOps. Enthusiasm for working with fast-moving generative-AI technologies. <br><br>Nice to Have<br><br> Exposure to OCI Generative AI services or other cloud AI platforms. Familiarity with agent frameworks and tool integration. Experience deploying applications to the cloud, ideally Oracle Cloud Infrastructure (OCI). Awareness of responsible-AI and safety considerations. Experience with vector database tuning and retrieval optimization. AI or cloud certifications. <br><br>Responsibilities<br><br> Develop generative-AI features and applications using large language models and foundation-model APIs. Implement retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, and vector search. Design, test, and refine prompts and orchestration logic for LLM-driven workflows. Build and integrate agentic components, tool-calling, and multi-step flows. Integrate AI capabilities into applications and services, including OCI Generative AI services. Evaluate model outputs against quality criteria and implement guardrails and validation checks. Build evaluation sets and run experiments to compare prompts, models, and configurations. Collaborate with senior AI engineers and product teams to deliver working AI features. Iterate on solutions based on evaluation results, performance, and user feedback. Document AI components, prompts, and integration patterns for maintainability. Contribute to internal reusable components and accelerators for generative-AI delivery. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience accepted. Proficiency in Python and experience with LLM frameworks (e.g., Lang Chain, Llama Index) and foundation-model APIs. Working knowledge of RAG, embeddings, and vector databases. Understanding of prompt engineering and orchestration techniques. Ability to evaluate and improve the quality and reliability of AI outputs. Solid general software-engineering skills, including version control and testing. Experience integrating APIs and building application features.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to Know our Team:<br><br>The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.<br><br>In this Role, you’ll get to:<br><br>Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.<br><br>What you’ll Need to Succeed:<br><br>Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science) Ability to communicate fluently in English Good numerical reasoning skills Proficiency in Excel Intellectual curiosity<br><br>It’s Great if you Have:<br><br>Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQLExperience in digital marketing Academic research experience #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to Know our Team:<br><br>The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.<br><br>In this Role, you’ll get to:<br><br>Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.<br><br>What you’ll Need to Succeed:<br><br>Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science) Ability to communicate fluently in English Good numerical reasoning skills Proficiency in Excel Intellectual curiosity<br><br>It’s Great if you Have:<br><br>Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQLExperience in digital marketing Academic research experience #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Adheya Technologies is seeking highly skilled AI-Native Software Engineers to join our growing AI practice in Abu Dhabi. The ideal candidate will possess strong expertise in Generative AI, RAG architectures, agentic workflows, and enterprise-grade AI solution development.</p><p>You will play a key role in designing, developing, and validating AI-powered solutions across HR, Finance, and Operations domains.</p><p>Key Responsibilities</p><ul><li><p>Design and implement Retrieval-Augmented Generation (RAG) pipelines.</p></li><li><p>Develop and orchestrate AI agents using LangChain, LangGraph, AutoGen, or similar frameworks.</p></li><li><p>Perform context engineering and specification engineering for enterprise AI use cases.</p></li><li><p>Architect scalable AI systems integrated with cloud services and APIs.</p></li><li><p>Review, validate, and optimize AI-generated code.</p></li><li><p>Collaborate with cross-functional teams to deliver enterprise AI solutions.</p></li><li><p>Ensure best practices in CI/CD, testing, and deployment.</p></li></ul><p>Required Skills</p><p>Mandatory Skills</p><p>✔️ System Design</p><p>✔️ Generative AI</p><p>✔️ RAG Architecture</p><p>✔️ LangChain</p><p>✔️ LangGraph</p><p>✔️ AutoGen</p><p>✔️ Agentic Workflows</p><p>✔️ Python</p><p>✔️ REST APIs</p><p>✔️ Cloud Platforms (AWS/Azure/GCP)</p><p>✔️ CI/CD Pipelines</p><p>✔️ Git</p><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Preferred Skills</p><ul><li><p>LLM Fine-tuning</p></li><li><p>Vector Databases (Pinecone, Weaviate, Chroma, Milvus)</p></li><li><p>Prompt Engineering</p></li><li><p>Docker</p></li><li><p>Kubernetes</p></li><li><p>MLOps</p></li></ul><p>Qualifications</p><p>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.</p><p>Why Join Adheya Technologies?</p><ul><li><p>Opportunity to work on cutting-edge Enterprise AI initiatives.</p></li><li><p>Exposure to advanced Agentic AI and GenAI architectures.</p></li><li><p>Fast-growing and innovation-driven environment.</p></li><li><p>Opportunity to contribute to transformative projects across HR, Finance, and Operations.</p></li></ul><p>How to Apply</p><p>Interested candidates may share their updated CV at the earliest.</p><br><p></p></section>

Please submit your CV in English and indicate your level of English proficiency.<br><br>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.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>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<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>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.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>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.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

Please submit your CV in English and indicate your level of English proficiency.<br><br>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.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>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<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>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.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>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.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

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

Please submit your CV in English and indicate your level of English proficiency.<br><br>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.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>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<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>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.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>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.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

We're looking for a Lead AI Engineer to join our team in Doha, Qatar, in an onsite working mode. In this role, you will lead the design and implementation of AI-driven strategies, architectures and operating models, enabling engineering teams to transition to spec-driven and agentic AI delivery methods. This is a critical position to influence and drive AI-assisted development, ensuring scalable implementations, governance and measurable business outcomes. Your expertise will shape AI adoption across the organization, balancing innovation with compliance, security and operational integrity. Responsibilities Architect and deploy token-efficient AI search and retrieval systems optimized for cost, relevance and performance Advise on AI adoption strategies, including when to apply RAG, agents, copilots or traditional engineering approaches Define and implement spec-driven development practices with governance and reusable standards Design KPIs to measure productivity gains, quality improvements and AI adoption maturity Build end-to-end AI pipelines, including embeddings, vector stores, retrieval layers, LLM integrations and streaming inference Develop operational strategies for agentic systems, including rollout governance, versioning and observability Partner with product owners and engineering leads to define AI adoption roadmaps and enable workforce capability uplift Drive training, playbooks and mentorship to accelerate workforce readiness in AI-enabled engineering workflows Implement responsible AI practices, ensuring compliance with security, safety and ethical guidelines Requirements Bachelor's degree in Computer Science, Software Engineering or related field4+ years of experience building production AI systems or 2+ years in production-level LLM/RAG solutions Proven track record leading AI transformations, strategy design and adoption initiatives Deep expertise in RAG architectures: embeddings, vector DBs, retrieval strategies Strong proficiency with Python, familiarity with Java and API protocols (REST/g RPC) Experience with agent frameworks and implementing agentic workflows in enterprise software delivery Practical knowledge of Kubernetes, cloud services, CI/CD pipelines and deployment automation Hands-on experience in integrating LLM providers and self-hosted models into scalable architectures Knowledge of AI observability, testing frameworks, model versioning and prompt governance We offer Private healthcare and life insurance End of service gratuity Annual air travel tickets for expatriates Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses

We are seeking a motivated Graduate Research Associate to support research on AI- and computer vision-based thermographic inspection of photovoltaic (PV) panels.<br><br>The role involves developing deep learning algorithms, building thermal image mosaics, collecting and analyzing thermal datasets, and contributing to<br><br>research on PV health monitoring.<br><br>Applicants should have a bachelor's degree in Computer Science, Electrical Engineering, or a related eld, with strong programming skills in Python and/or C/C++.<br><br>Familiarity with PyTorch, computer vision, and Linux is required. Experience with thermal imaging, sensor integration, data analysis, and research writing is desirable.<br><br>The position is part-time and available immediately.<br><br>To be considered for this position, Interested candidates should submit a resume and cover letter outlining their qualifications and research interests.<br><br>Joining the CMU team opens the door to an array of exceptional benefits.<br><br>Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. <br><br>Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!<br><br>For a comprehensive overview of the benefits available, explore our Benefits page.<br><br>At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.<br><br>Are you interested in an exciting opportunity with an exceptional organization?! Apply today!<br><br>Location<br><br>Doha, Qatar<br><br>Job Function<br><br>Researchers<br><br>Position Type<br><br>Staff – Fixed Term (Fixed Term)<br><br>Full Time/Part time<br><br>Part time<br><br>Pay Basis<br><br>Hourly<br><br>More Information: <br><br>Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

Please submit your CV in English and indicate your level of English proficiency.<br><br>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.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>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<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>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.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>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.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

We're looking for a Lead AI Engineer to join our team in Doha, Qatar, in an onsite working mode. In this role, you will lead the design and implementation of AI-driven strategies, architectures and operating models, enabling engineering teams to transition to spec-driven and agentic AI delivery methods. This is a critical position to influence and drive AI-assisted development, ensuring scalable implementations, governance and measurable business outcomes. Your expertise will shape AI adoption across the organization, balancing innovation with compliance, security and operational integrity. Responsibilities Architect and deploy token-efficient AI search and retrieval systems optimized for cost, relevance and performance Advise on AI adoption strategies, including when to apply RAG, agents, copilots or traditional engineering approaches Define and implement spec-driven development practices with governance and reusable standards Design KPIs to measure productivity gains, quality improvements and AI adoption maturity Build end-to-end AI pipelines, including embeddings, vector stores, retrieval layers, LLM integrations and streaming inference Develop operational strategies for agentic systems, including rollout governance, versioning and observability Partner with product owners and engineering leads to define AI adoption roadmaps and enable workforce capability uplift Drive training, playbooks and mentorship to accelerate workforce readiness in AI-enabled engineering workflows Implement responsible AI practices, ensuring compliance with security, safety and ethical guidelines Requirements Bachelor's degree in Computer Science, Software Engineering or related field4+ years of experience building production AI systems or 2+ years in production-level LLM/RAG solutions Proven track record leading AI transformations, strategy design and adoption initiatives Deep expertise in RAG architectures: embeddings, vector DBs, retrieval strategies Strong proficiency with Python, familiarity with Java and API protocols (REST/g RPC) Experience with agent frameworks and implementing agentic workflows in enterprise software delivery Practical knowledge of Kubernetes, cloud services, CI/CD pipelines and deployment automation Hands-on experience in integrating LLM providers and self-hosted models into scalable architectures Knowledge of AI observability, testing frameworks, model versioning and prompt governance We offer Private healthcare and life insurance End of service gratuity Annual air travel tickets for expatriates Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses