Python Developer Jobs in UAE

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Develop and train AI/ML models</p></li><li><p>Build scalable machine learning pipelines</p></li><li><p>Work with large datasets for training and optimization</p></li><li><p>Integrate AI models into production systems</p></li><li><p>Research and implement modern AI technologies</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Job Overview We are seeking a highly skilled AI Developer to build and deploy intelligent systems that power our AI platform.<br>Requirements</p><ul><li><p>Strong experience in AI/ML development</p></li><li><p>Proficiency in Python and frameworks </p></li><li><p>Experience with NLP, LLMs, or computer vision is a plus</p></li><li><p>Strong understanding of APIs and system integration</p></li><li><p>Startup mindset and ability to work in fast-paced environments </p></li></ul><p></p></section>

Member of the Technical Staff, Product (Backend)<br><br>Location: North America Remote / San Francisco, CA<br><br> Full-Time<br><br>About Andromeda<br><br>Compute is the most sought-after resource in the world, yet it still trades like commercial real estate: year-long contracts, manual fulfillment, capacity sitting idle because nobody can move it. We are building the liquidity layer at Andromeda.<br><br>Andromeda was founded by Nat Friedman and Daniel Gross to give startups the scaled AI infrastructure once reserved for hyperscalers. The first cluster filled almost instantly. The years since went into the platform that makes compute liquid: it deploys into foreign datacenters and turns the hardware it finds into clusters that leading AI labs train on.<br><br>Today Andromeda operates compute for 80+ customers across 30+ capacity providers, with tens of thousands of GPUs under management and billions of GPU-hours supported, on everything from A100 to GB300.<br><br>The Role<br><br>We are looking for engineers who can reason about our entire system, from the machine to the invoice, and own the layer where it becomes a product.<br><br>Responsibilities<br><br>The system of record where capacity is quoted, reserved, funded, and billed, on every side of the market The full API surface that connects and operationalizes our infrastructure Money paths: metering, billing, invoicing, settlement Self-serve, from signup to a running workload Dashboards for customers, providers, and operators Participating in on-call rotations<br><br>Requirements<br><br>Impressive technical work you can go deep on, with impact in the world. That can take three years or twenty. Comfortable working across the stack: Go, Python, and Type Script Strong grasp of transactional correctness. API design experience: Open API, versioning, backward compatibility Experience building alongside Kubernetes or bare-metal infrastructure Experience with at least one of: billing and payments, marketplaces, or multi-tenant access systems Strong product sense and experience driving product outcomes<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.<br><br>Member of the Technical Staff, Product (Backend)<br><br>Location: North America Remote / San Francisco, CA<br><br> Full-Time<br><br>Responsibilities<br><br>The system of record where capacity is quoted, reserved, funded, and billed, on every side of the market The full API surface that connects and operationalizes our infrastructure Money paths: metering, billing, invoicing, settlement Self-serve, from signup to a running workload Dashboards for customers, providers, and operators Participating in on-call rotations<br><br>Requirements<br><br>Impressive technical work you can go deep on, with impact in the world. That can take three years or twenty. Comfortable working across the stack: Go, Python, and Type Script Strong grasp of transactional correctness. API design experience: Open API, versioning, backward compatibility Experience building alongside Kubernetes or bare-metal infrastructure Experience with at least one of: billing and payments, marketplaces, or multi-tenant access systems Strong product sense and experience driving product outcomes<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

<ul><li><p>Conduct penetration testing across web applications, mobile applications, and APIs.</p></li><li><p>Execute secure code reviews to identify and remediate vulnerabilities in application code, scripts, and configurations.</p></li><li><p>Configure, optimize, and manage results from SAST, DAST, SCA, IaC, and container scanning tools.</p></li><li><p>Drive DevSecOps initiatives, emphasizing security automation within CI/CD pipelines.</p></li><li><p>Enhance the security posture of Kubernetes, container runtimes, and the underlying infrastructure.</p></li><li><p>Contribute to security architecture design and conduct risk reviews for applications, cloud environments, and infrastructure.</p></li><li><p>Lead threat modeling, risk assessments, and end-to-end vulnerability management.</p></li><li><p>Promote security awareness by establishing and delivering training sessions and best-practice workshops.</p></li><li><p>Partner with development, DevOps, and infrastructure teams to guarantee secure design and delivery.</p></li><li><p>Act as a trusted security advisor, translating complex technical risks into actionable recommendations for non-technical stakeholders.</p></li><li><p>Participate in incident response, conduct post-incident reviews, and ensure lessons learned are implemented.</p></li><li><p>Stay continuously updated on emerging threats, modern attack vectors, and innovative security technologies.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>7–12 years of professional experience in information security roles.</p></li><li><p>Proven hands-on expertise in web, mobile, and API penetration testing.</p></li><li><p>Proficiency with application and infrastructure security tooling (SAST, DAST, SCA, IaC, and container scanning).</p></li><li><p>Deep understanding of DevSecOps principles, CI/CD pipeline security, and security automation frameworks.</p></li><li><p>Strong knowledge of cloud security best practices, specifically within AWS and Azure.</p></li><li><p>Solid grasp of Kubernetes, Docker, container runtime security, and secure architecture design principles.</p></li><li><p>Proficient scripting skills (e.g., Python, Bash) to build and automate security workflows.</p></li><li><p>Strong analytical and problem-solving mindset.</p></li><li><p>Excellent communication and stakeholder management skills, with the ability to articulate technical risks clearly to non-technical audiences.</p></li><li><p>Highly collaborative approach when working with development, DevOps, product, and leadership teams.</p></li><li><p>Passion for continuous learning and championing a company-wide culture of security.</p></li></ul>

<p>The Information Security Specialist is responsible for safeguarding the organization’s systems, data, and technology infrastructure by implementing and maintaining effective security controls and monitoring activities. This role supports the organization’s security and compliance objectives by identifying risks, responding to security incidents, and ensuring alignment with regulatory and industry standards.</p><p>• Monitor and respond to security incidents and alerts, supporting investigation, escalation, and resolution. • Maintain and implement security controls to protect systems, applications, and data against internal and external threats. • Perform security monitoring using SIEM and other security tools, analysing logs and events to identify potential threats and recommend remediation. • Support vulnerability management activities, including identifying, prioritising, and tracking remediation of security weaknesses. • Conduct security risk assessments and support internal and external security audits. • Ensure compliance with security standards and regulatory requirements, including PCI-DSS. • Implement and maintain Web Application Firewalls (WAF), DDoS protection, firewall technologies, and cloud-native security controls (e.g. Cloudflare, Akamai, Azure/AWS security services where applicable). • Support application security throughout the software development lifecycle, including static application security testing (SAST) using tools such as Veracode, Checkmarx, Trivy or similar. • Assist with container and cloud workload security, including Docker, Kubernetes and container image scanning. • Perform or support penetration testing, vulnerability assessments and security validation activities using industry-standard tools (e.g. Kali Linux, Burp Suite, OWASP methodologies). • Develop and maintain automation scripts using Python, PowerShell or Bash to improve security operations and monitoring. • Collaborate closely with Engineering, Infrastructure, DevOps and Compliance teams to embed security into development and operational processes. • Maintain security documentation, operational procedures and technical standards to support audit readiness and operational consistency.</p>

<p>The Information Security Specialist is responsible for safeguarding the organization’s systems, data, and technology infrastructure by implementing and maintaining effective security controls and monitoring activities. This role supports the organization’s security and compliance objectives by identifying risks, responding to security incidents, and ensuring alignment with regulatory and industry standards.</p><p>• Monitor and respond to security incidents and alerts, supporting investigation, escalation, and resolution. • Maintain and implement security controls to protect systems, applications, and data against internal and external threats. • Perform security monitoring using SIEM and other security tools, analysing logs and events to identify potential threats and recommend remediation. • Support vulnerability management activities, including identifying, prioritising, and tracking remediation of security weaknesses. • Conduct security risk assessments and support internal and external security audits. • Ensure compliance with security standards and regulatory requirements, including PCI-DSS. • Implement and maintain Web Application Firewalls (WAF), DDoS protection, firewall technologies, and cloud-native security controls (e.g. Cloudflare, Akamai, Azure/AWS security services where applicable). • Support application security throughout the software development lifecycle, including static application security testing (SAST) using tools such as Veracode, Checkmarx, Trivy or similar. • Assist with container and cloud workload security, including Docker, Kubernetes and container image scanning. • Perform or support penetration testing, vulnerability assessments and security validation activities using industry-standard tools (e.g. Kali Linux, Burp Suite, OWASP methodologies). • Develop and maintain automation scripts using Python, PowerShell or Bash to improve security operations and monitoring. • Collaborate closely with Engineering, Infrastructure, DevOps and Compliance teams to embed security into development and operational processes. • Maintain security documentation, operational procedures and technical standards to support audit readiness and operational consistency.</p>

Job Description<br><br>Job Description<br><br>Overview<br><br>Job Description: Senior Engineer - Full Stack / Focus on Application <br><br>Job Location: Abu Dhabi - UAE<br><br>About Presight<br><br>Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region’s leading big data analytics company powered by Artificial Intelligence (“AI”). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.<br><br>The Opportunity<br><br>Presight AI is seeking a motivated and skilled Senior Fullstack Engineer to join our dynamic team building end-to-end AI-powered data processing and analytics platform for the enterprise.<br><br>Responsibilities<br><br>Key Responsibilities:<br><br>In this role, you will help build the distributed backend services and rich UI components that turn raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products. These data products will serve as the foundation for high-performance classical BI analytics as well as modern agentic data engineering and analytics workflows. You may work across functional areas such as data profiling and quality, data governance, ETL pipelines, data warehouse capabilities, agentic data engineering, dashboards, spatial and geospatial analysis, and entity-centric analytics based on ontologies that model real-world objects, events, and relationships.<br><br>Qualifications<br><br>Requirements<br><br>Bachelor’s degree in information technology, Computer Science, Engineering or related field Strong computer science and basic algorithms knowledge.5+ years of experience in Java, Python building backend services & distributed systems.5+ years of experience building modern frontends with React and Type Script. Experience designing and building large scale distributed fault tolerant services. Experience building: search, recommendations, or other advanced analytics systems. Strong knowledge about programming principles (SOLID). Strong understanding of data analytics fundamentals and knowledge of basic SQL. Proficient with agentic development tools.<br><br>Good to have:<br><br>Data engineer experience with Databricks, Snowflake or MS Fabric. Worked with Clickhouse on OLAP/DWH workloads. Experience with batch and stream processing big data using Spark, Trino, Flink, Kafka, etc. Practical experience processing unstructured data with modern models – OCR, STT, NER, etc. Implemented complex analytics with BI tools such as Tableau, Power BI or built your own. AI models, python notebook is something you like to play with as well. Have great communication skills and passion in technology and driving thing forward.<br><br>Job Details<br><br>Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.presight.ai Job Function: Information Technology (IT) Company Industry/<br><br>Sector: Other<br><br>What We Offer<br><br>About The Company<br><br>Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.<br><br>Report<br><br>Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

Job Title: Senior Cloud Modernization & Migration Engineer (Azure → Alibaba Cloud)<br><br>Job Location: UAE (Onsite)<br><br>Experince: 7+ years<br><br>Duration: Long-term<br><br>Role Overview<br><br>We are looking for a highly skilled and hands-on Cloud Modernization & Migration Engineer to support a strategic transformation initiative. The role involves modernizing existing monolithic applications in Microsoft Azure, containerizing them using Kubernetes, and leading a seamless migration to Alibaba Cloud.<br><br>The ideal candidate will have deep expertise in application modernization, cloud-native architectures, AI-driven efficiencies, and multi-cloud migration strategies.<br><br>Key Responsibilities<br><br>Application Modernization:<br><br> Assess and analyze existing monolithic applications. Design and implement modernization strategies (re-architecting, refactoring, microservices transformation). Apply cloud-native principles (12-factor applications, scalability, resilience). Integrate AI/ML components where applicable to improve efficiency and automation.<br><br>Cloud & Containerization<br><br> Containerize applications using Docker and Kubernetes (AKS/ACK or similar). Build and manage scalable container orchestration platforms. Implement CI/CD pipelines for automated deployments.<br><br>Azure Environment Management<br><br> Work with existing Microsoft Azure workloads and services. Optimize architecture for performance, scalability, and cost. Ensure best practices in security, governance, and monitoring.<br><br>Migration To Alibaba Cloud<br><br> Design and execute migration strategies from Microsoft Azure to Alibaba Cloud. Map Azure services to equivalent Alibaba Cloud services. Perform workload migrations with minimal downtime and risk. Optimize applications post-migration for the Alibaba Cloud ecosystem.<br><br>AI Enablement (Value Add)<br><br> Identify opportunities to leverage AI/ML for: Application performance optimization Automation of operations Intelligent monitoring and alerting Work with AI services across Microsoft Azure and/or Alibaba Cloud where relevant.<br><br>Core Expertise<br><br>Required Skills & Experience:<br><br> Strong experience in modernizing monolithic applications into microservices. Deep hands-on experience with Microsoft Azure services and architecture. Proven experience or strong familiarity with Alibaba Cloud services. Solid hands-on experience with Kubernetes (deployment, scaling, troubleshooting).<br><br>Technical Skills<br><br> Containerization: Docker, Kubernetes Programming: Java / . NET / Python (strong proficiency in at least one) CI/CD: Azure Dev Ops, Jenkins, Git Lab CI, or similar Infrastructure as Code: Terraform, Azure Resource Manager (ARM) Templates, Bicep, or Alibaba Cloud ROS API Design & Microservices Architecture Cloud Networking and Security<br><br>AI / Advanced Capabilities (Preferred)<br><br> Exposure to AI/ML services such as Azure AI Services, Azure Machine Learning, or Alibaba Cloud PAI. Experience integrating AI capabilities into applications or operational workflows.<br><br>Soft Skills<br><br> Strong delivery ownership and accountability. Excellent client-facing communication skills. Ability to work in complex, multi-cloud environments. Strong problem-solving mindset with a hands-on execution approach.<br><br>Experience Requirements<br><br> 7+ years of experience in cloud engineering and application modernization. Proven track record delivering end-to-end modernization projects. Experience in multi-cloud environments (Azure + Alibaba Cloud preferred). Prior experience executing large-scale migration projects.<br><br>Nice To Have<br><br> Microsoft Azure, Alibaba Cloud, or Kubernetes certifications. Experience with service mesh technologies (Istio, Linkerd, etc.). Knowledge of Dev Sec Ops practices.<br><br>What We Expect<br><br>This is a delivery-heavy role, not just architecture or advisory. The successful candidate must remain hands-on throughout the complete project lifecycle, including:<br><br> Application Modernization Containerization Migration Post-Migration Optimization<br><br>Skills: ai/ml,.net,migration,docker,cloud,alibaba cloud,microsoft azure,java,kubernetes,cloud modernization,jenkins,azure,mircoservices,modernization,alibaba,azure devops,python,api

Job Title: Senior Cloud Modernization & Migration Engineer (Azure → Alibaba Cloud)<br><br>Job Location: UAE (Onsite)<br><br>Experince: 7+ years<br><br>Duration: Long-term<br><br>Role Overview<br><br>We are looking for a highly skilled and hands-on Cloud Modernization & Migration Engineer to support a strategic transformation initiative. The role involves modernizing existing monolithic applications in Microsoft Azure, containerizing them using Kubernetes, and leading a seamless migration to Alibaba Cloud.<br><br>The ideal candidate will have deep expertise in application modernization, cloud-native architectures, AI-driven efficiencies, and multi-cloud migration strategies.<br><br>Key Responsibilities<br><br>Application Modernization:<br><br> Assess and analyze existing monolithic applications. Design and implement modernization strategies (re-architecting, refactoring, microservices transformation). Apply cloud-native principles (12-factor applications, scalability, resilience). Integrate AI/ML components where applicable to improve efficiency and automation.<br><br>Cloud & Containerization<br><br> Containerize applications using Docker and Kubernetes (AKS/ACK or similar). Build and manage scalable container orchestration platforms. Implement CI/CD pipelines for automated deployments.<br><br>Azure Environment Management<br><br> Work with existing Microsoft Azure workloads and services. Optimize architecture for performance, scalability, and cost. Ensure best practices in security, governance, and monitoring.<br><br>Migration To Alibaba Cloud<br><br> Design and execute migration strategies from Microsoft Azure to Alibaba Cloud. Map Azure services to equivalent Alibaba Cloud services. Perform workload migrations with minimal downtime and risk. Optimize applications post-migration for the Alibaba Cloud ecosystem.<br><br>AI Enablement (Value Add)<br><br> Identify opportunities to leverage AI/ML for: Application performance optimization Automation of operations Intelligent monitoring and alerting Work with AI services across Microsoft Azure and/or Alibaba Cloud where relevant.<br><br>Core Expertise<br><br>Required Skills & Experience:<br><br> Strong experience in modernizing monolithic applications into microservices. Deep hands-on experience with Microsoft Azure services and architecture. Proven experience or strong familiarity with Alibaba Cloud services. Solid hands-on experience with Kubernetes (deployment, scaling, troubleshooting).<br><br>Technical Skills<br><br> Containerization: Docker, Kubernetes Programming: Java / . NET / Python (strong proficiency in at least one) CI/CD: Azure Dev Ops, Jenkins, Git Lab CI, or similar Infrastructure as Code: Terraform, Azure Resource Manager (ARM) Templates, Bicep, or Alibaba Cloud ROS API Design & Microservices Architecture Cloud Networking and Security<br><br>AI / Advanced Capabilities (Preferred)<br><br> Exposure to AI/ML services such as Azure AI Services, Azure Machine Learning, or Alibaba Cloud PAI. Experience integrating AI capabilities into applications or operational workflows.<br><br>Soft Skills<br><br> Strong delivery ownership and accountability. Excellent client-facing communication skills. Ability to work in complex, multi-cloud environments. Strong problem-solving mindset with a hands-on execution approach.<br><br>Experience Requirements<br><br> 7+ years of experience in cloud engineering and application modernization. Proven track record delivering end-to-end modernization projects. Experience in multi-cloud environments (Azure + Alibaba Cloud preferred). Prior experience executing large-scale migration projects.<br><br>Nice To Have<br><br> Microsoft Azure, Alibaba Cloud, or Kubernetes certifications. Experience with service mesh technologies (Istio, Linkerd, etc.). Knowledge of Dev Sec Ops practices.<br><br>What We Expect<br><br>This is a delivery-heavy role, not just architecture or advisory. The successful candidate must remain hands-on throughout the complete project lifecycle, including:<br><br> Application Modernization Containerization Migration Post-Migration Optimization<br><br>Skills: ai/ml,.net,migration,docker,cloud,alibaba cloud,microsoft azure,java,kubernetes,cloud modernization,jenkins,azure,mircoservices,modernization,alibaba,azure devops,python,api

Job Title: Senior Cloud Modernization & Migration Engineer (Azure → Alibaba Cloud)<br><br>Job Location: UAE (Onsite)<br><br>Experince: 7+ years<br><br>Duration: Long-term<br><br>Role Overview<br><br>We are looking for a highly skilled and hands-on Cloud Modernization & Migration Engineer to support a strategic transformation initiative. The role involves modernizing existing monolithic applications in Microsoft Azure, containerizing them using Kubernetes, and leading a seamless migration to Alibaba Cloud.<br><br>The ideal candidate will have deep expertise in application modernization, cloud-native architectures, AI-driven efficiencies, and multi-cloud migration strategies.<br><br>Key Responsibilities<br><br>Application Modernization:<br><br> Assess and analyze existing monolithic applications. Design and implement modernization strategies (re-architecting, refactoring, microservices transformation). Apply cloud-native principles (12-factor applications, scalability, resilience). Integrate AI/ML components where applicable to improve efficiency and automation.<br><br>Cloud & Containerization<br><br> Containerize applications using Docker and Kubernetes (AKS/ACK or similar). Build and manage scalable container orchestration platforms. Implement CI/CD pipelines for automated deployments.<br><br>Azure Environment Management<br><br> Work with existing Microsoft Azure workloads and services. Optimize architecture for performance, scalability, and cost. Ensure best practices in security, governance, and monitoring.<br><br>Migration To Alibaba Cloud<br><br> Design and execute migration strategies from Microsoft Azure to Alibaba Cloud. Map Azure services to equivalent Alibaba Cloud services. Perform workload migrations with minimal downtime and risk. Optimize applications post-migration for the Alibaba Cloud ecosystem.<br><br>AI Enablement (Value Add)<br><br> Identify opportunities to leverage AI/ML for: Application performance optimization Automation of operations Intelligent monitoring and alerting Work with AI services across Microsoft Azure and/or Alibaba Cloud where relevant.<br><br>Core Expertise<br><br>Required Skills & Experience:<br><br> Strong experience in modernizing monolithic applications into microservices. Deep hands-on experience with Microsoft Azure services and architecture. Proven experience or strong familiarity with Alibaba Cloud services. Solid hands-on experience with Kubernetes (deployment, scaling, troubleshooting).<br><br>Technical Skills<br><br> Containerization: Docker, Kubernetes Programming: Java / . NET / Python (strong proficiency in at least one) CI/CD: Azure Dev Ops, Jenkins, Git Lab CI, or similar Infrastructure as Code: Terraform, Azure Resource Manager (ARM) Templates, Bicep, or Alibaba Cloud ROS API Design & Microservices Architecture Cloud Networking and Security<br><br>AI / Advanced Capabilities (Preferred)<br><br> Exposure to AI/ML services such as Azure AI Services, Azure Machine Learning, or Alibaba Cloud PAI. Experience integrating AI capabilities into applications or operational workflows.<br><br>Soft Skills<br><br> Strong delivery ownership and accountability. Excellent client-facing communication skills. Ability to work in complex, multi-cloud environments. Strong problem-solving mindset with a hands-on execution approach.<br><br>Experience Requirements<br><br> 7+ years of experience in cloud engineering and application modernization. Proven track record delivering end-to-end modernization projects. Experience in multi-cloud environments (Azure + Alibaba Cloud preferred). Prior experience executing large-scale migration projects.<br><br>Nice To Have<br><br> Microsoft Azure, Alibaba Cloud, or Kubernetes certifications. Experience with service mesh technologies (Istio, Linkerd, etc.). Knowledge of Dev Sec Ops practices.<br><br>What We Expect<br><br>This is a delivery-heavy role, not just architecture or advisory. The successful candidate must remain hands-on throughout the complete project lifecycle, including:<br><br> Application Modernization Containerization Migration Post-Migration Optimization<br><br>Skills: ai/ml,.net,migration,docker,cloud,alibaba cloud,microsoft azure,java,kubernetes,cloud modernization,jenkins,azure,mircoservices,modernization,alibaba,azure devops,python,api

AI Tester<br><br>A forward-thinking organisation is investing in the development of intelligent conversational AI solutions and is seeking a hands-on AI Tester to ensure the quality, reliability, and performance of a customer-facing AI chatbot. This is a practitioner role — ideal for someone who thrives in execution and enjoys working at the cutting edge of AI quality assurance.<br><br>Responsibilities:<br><br>Design, develop, and execute comprehensive test plans and test cases covering functional, non-functional, integration, performance, and security testing across an AI chatbot platform. Perform black-box testing from the customer's perspective, evaluating chatbot behaviour, conversational accuracy, response quality, and user experience. Apply an understanding of AI and machine learning principles to assess chatbot outputs against expected behaviours and real-world customer expectations. Execute the full range of testing activities with a primary focus on functional and non-functional testing (approximately 75%), complemented by performance and security testing (approximately 25%). Conduct integration testing to validate seamless interaction between the chatbot and connected systems and APIs. Carry out performance testing to assess chatbot responsiveness, scalability, and stability under varied load conditions. Support security testing activities to identify vulnerabilities and ensure the platform meets required compliance and data protection standards. Utilise Azure-based testing tools and Python scripting to automate and enhance testing processes. Log, track, and clearly communicate defects and test outcomes, working closely with the Test Lead and development teams to drive resolution. Contribute technical analysis and insights to support continuous improvement of the chatbot's quality and performance. <br><br>Qualifications and Skills:<br><br>Up to 9 years of hands-on testing experience, with a strong focus on functional and non-functional testing. Proven experience designing test cases and test plans across multiple testing types — integration, performance, security, and functional. Black-box testing experience, ideally within a customer-facing digital or conversational AI product environment. Solid understanding of AI concepts and what constitutes quality, accuracy, and appropriate behaviour in an AI chatbot — practical development of AI is not required, but familiarity with AI capabilities and customer expectations is essential. Hands-on experience with Azure-based testing environments. Python scripting skills to support test automation and data validation. Strong analytical skills with the ability to interpret technical outputs and translate findings into clear, actionable reporting. Collaborative team player, comfortable operating within a structured team reporting to a Test Lead. <br><br>Halian Group: With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realize tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.<br><br>At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.<br><br>AI Tester in Abu Dhabi, United Arab Emirates

Location<br><br>London; New York<br><br>Employment Type<br><br>Full time<br><br>Location Type<br><br>Hybrid<br><br>Department<br><br>Product<br><br>Overview Application<br><br>What We're Looking For<br><br>We’re hiring a Product Owner – KYC to work directly with our founders and build our customer verification product function from the ground up. You’ll lead a cross-functional product team focused on customer onboarding, identity verification, and ongoing due diligence, delivering measurable impact through smart, data-driven analyses.<br><br>You’ll thrive in this role if you love solving complex problems, can translate regulatory and operational needs into product solutions, and enjoy working at the intersection of product, compliance, operations, and engineering.<br><br>What You'll Be Doing<br><br>Own the product vision and roadmap for customer onboarding, identity verification, and ongoing due diligence. Lead a team of engineers and other cross-functional partners to design, deliver, and refine verification journeys, decisioning rules, and KYC systems. Define and track KPIs like verification completion rate, onboarding conversion, manual review rate, and time-to-verification. Turn regulatory requirements, customer risk profiles, and operational needs into clear product specifications. Continuously improve our KYC capabilities based on customer feedback, operational insights, and evolving regulatory requirements.<br><br>What You'll Need<br><br>Proven product experience in fintech, payments, or KYC / customer identity verification. Strong track record delivering data-driven products with engineering and analytics teams. Strong SQL or Python skills, with hands-on experience using data to analyse performance, identify problems, and inform product decisions. Analytical mindset; comfortable interpreting onboarding, verification, and operational performance metrics. Ability to balance regulatory requirements and risk management with a great customer experience. Comfortable working directly with founders in a fast-paced startup.<br><br>Nice-to-haves<br><br>Experience in Latin American markets. Spanish or Portuguese language skills. Experience scaling a KYC product from 0 to hundreds of thousands or millions of customers. Previous experience in software engineering, data analytics, or another technical role.<br><br>Benefits<br><br>Competitive salary and benefits Stock options, so you own part of what you build Discretionary performance bonus The latest tools and technology A world-class team that will challenge and grow your skills The opportunity to help build the best fintech app in Latin America Office Policy: 3-4 days a week in-office<br><br>What You'll Be Doing<br><br>Own the product vision and roadmap for customer onboarding, identity verification, and ongoing due diligence. Lead a team of engineers and other cross-functional partners to design, deliver, and refine verification journeys, decisioning rules, and KYC systems. Define and track KPIs like verification completion rate, onboarding conversion, manual review rate, and time-to-verification. Turn regulatory requirements, customer risk profiles, and operational needs into clear product specifications. Continuously improve our KYC capabilities based on customer feedback, operational insights, and evolving regulatory requirements.<br><br>What You'll Need<br><br>Proven product experience in fintech, payments, or KYC / customer identity verification. Strong track record delivering data-driven products with engineering and analytics teams. Strong SQL or Python skills, with hands-on experience using data to analyse performance, identify problems, and inform product decisions. Analytical mindset; comfortable interpreting onboarding, verification, and operational performance metrics. Ability to balance regulatory requirements and risk management with a great customer experience. Comfortable working directly with founders in a fast-paced startup.<br><br>Nice-to-haves<br><br>Experience in Latin American markets. Spanish or Portuguese language skills. Experience scaling a KYC product from 0 to hundreds of thousands or millions of customers. Previous experience in software engineering, data analytics, or another technical role.<br><br>Benefits<br><br>Competitive salary and benefits Stock options, so you own part of what you build Discretionary performance bonus The latest tools and technology A world-class team that will challenge and grow your skills The opportunity to help build the best fintech app in Latin America Office Policy: 3-4 days a week in-office<br><br>What You'll Be Doing<br><br>Own the product vision and roadmap for customer onboarding, identity verification, and ongoing due diligence. Lead a team of engineers and other cross-functional partners to design, deliver, and refine verification journeys, decisioning rules, and KYC systems. Define and track KPIs like verification completion rate, onboarding conversion, manual review rate, and time-to-verification. Turn regulatory requirements, customer risk profiles, and operational needs into clear product specifications. Continuously improve our KYC capabilities based on customer feedback, operational insights, and evolving regulatory requirements.<br><br>What You'll Need<br><br>Proven product experience in fintech, payments, or KYC / customer identity verification. Strong track record delivering data-driven products with engineering and analytics teams. Strong SQL or Python skills, with hands-on experience using data to analyse performance, identify problems, and inform product decisions. Analytical mindset; comfortable interpreting onboarding, verification, and operational performance metrics. Ability to balance regulatory requirements and risk management with a great customer experience. Comfortable working directly with founders in a fast-paced startup.<br><br>Nice-to-haves<br><br>Experience in Latin American markets. Spanish or Portuguese language skills. Experience scaling a KYC product from 0 to hundreds of thousands or millions of customers. Previous experience in software engineering, data analytics, or another technical role.<br><br>Benefits<br><br>Competitive salary and benefits Stock options, so you own part of what you build Discretionary performance bonus The latest tools and technology A world-class team that will challenge and grow your skills The opportunity to help build the best fintech app in Latin America Office Policy: 3-4 days a week in-office

Location<br><br>London; New York<br><br>Employment Type<br><br>Full time<br><br>Location Type<br><br>Hybrid<br><br>Department<br><br>Product<br><br>Overview Application<br><br>What We're Looking For<br><br>We’re hiring a Product Owner – KYC to work directly with our founders and build our customer verification product function from the ground up. You’ll lead a cross-functional product team focused on customer onboarding, identity verification, and ongoing due diligence, delivering measurable impact through smart, data-driven analyses.<br><br>You’ll thrive in this role if you love solving complex problems, can translate regulatory and operational needs into product solutions, and enjoy working at the intersection of product, compliance, operations, and engineering.<br><br>What You'll Be Doing<br><br>Own the product vision and roadmap for customer onboarding, identity verification, and ongoing due diligence. Lead a team of engineers and other cross-functional partners to design, deliver, and refine verification journeys, decisioning rules, and KYC systems. Define and track KPIs like verification completion rate, onboarding conversion, manual review rate, and time-to-verification. Turn regulatory requirements, customer risk profiles, and operational needs into clear product specifications. Continuously improve our KYC capabilities based on customer feedback, operational insights, and evolving regulatory requirements.<br><br>What You'll Need<br><br>Proven product experience in fintech, payments, or KYC / customer identity verification. Strong track record delivering data-driven products with engineering and analytics teams. Strong SQL or Python skills, with hands-on experience using data to analyse performance, identify problems, and inform product decisions. Analytical mindset; comfortable interpreting onboarding, verification, and operational performance metrics. Ability to balance regulatory requirements and risk management with a great customer experience. Comfortable working directly with founders in a fast-paced startup.<br><br>Nice-to-haves<br><br>Experience in Latin American markets. Spanish or Portuguese language skills. Experience scaling a KYC product from 0 to hundreds of thousands or millions of customers. Previous experience in software engineering, data analytics, or another technical role.<br><br>Benefits<br><br>Competitive salary and benefits Stock options, so you own part of what you build Discretionary performance bonus The latest tools and technology A world-class team that will challenge and grow your skills The opportunity to help build the best fintech app in Latin America Office Policy: 3-4 days a week in-office<br><br>What You'll Be Doing<br><br>Own the product vision and roadmap for customer onboarding, identity verification, and ongoing due diligence. Lead a team of engineers and other cross-functional partners to design, deliver, and refine verification journeys, decisioning rules, and KYC systems. Define and track KPIs like verification completion rate, onboarding conversion, manual review rate, and time-to-verification. Turn regulatory requirements, customer risk profiles, and operational needs into clear product specifications. Continuously improve our KYC capabilities based on customer feedback, operational insights, and evolving regulatory requirements.<br><br>What You'll Need<br><br>Proven product experience in fintech, payments, or KYC / customer identity verification. Strong track record delivering data-driven products with engineering and analytics teams. Strong SQL or Python skills, with hands-on experience using data to analyse performance, identify problems, and inform product decisions. Analytical mindset; comfortable interpreting onboarding, verification, and operational performance metrics. Ability to balance regulatory requirements and risk management with a great customer experience. Comfortable working directly with founders in a fast-paced startup.<br><br>Nice-to-haves<br><br>Experience in Latin American markets. Spanish or Portuguese language skills. Experience scaling a KYC product from 0 to hundreds of thousands or millions of customers. Previous experience in software engineering, data analytics, or another technical role.<br><br>Benefits<br><br>Competitive salary and benefits Stock options, so you own part of what you build Discretionary performance bonus The latest tools and technology A world-class team that will challenge and grow your skills The opportunity to help build the best fintech app in Latin America Office Policy: 3-4 days a week in-office<br><br>What You'll Be Doing<br><br>Own the product vision and roadmap for customer onboarding, identity verification, and ongoing due diligence. Lead a team of engineers and other cross-functional partners to design, deliver, and refine verification journeys, decisioning rules, and KYC systems. Define and track KPIs like verification completion rate, onboarding conversion, manual review rate, and time-to-verification. Turn regulatory requirements, customer risk profiles, and operational needs into clear product specifications. Continuously improve our KYC capabilities based on customer feedback, operational insights, and evolving regulatory requirements.<br><br>What You'll Need<br><br>Proven product experience in fintech, payments, or KYC / customer identity verification. Strong track record delivering data-driven products with engineering and analytics teams. Strong SQL or Python skills, with hands-on experience using data to analyse performance, identify problems, and inform product decisions. Analytical mindset; comfortable interpreting onboarding, verification, and operational performance metrics. Ability to balance regulatory requirements and risk management with a great customer experience. Comfortable working directly with founders in a fast-paced startup.<br><br>Nice-to-haves<br><br>Experience in Latin American markets. Spanish or Portuguese language skills. Experience scaling a KYC product from 0 to hundreds of thousands or millions of customers. Previous experience in software engineering, data analytics, or another technical role.<br><br>Benefits<br><br>Competitive salary and benefits Stock options, so you own part of what you build Discretionary performance bonus The latest tools and technology A world-class team that will challenge and grow your skills The opportunity to help build the best fintech app in Latin America Office Policy: 3-4 days a week in-office

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>The resources will support development and deployment of <strong>computer vision and video analytics solutions</strong> for CCTV use cases such as:</p><ul><li><p>Queue monitoring and wait-time estimation</p></li><li><p>Crowd and anomaly detection</p></li><li><p>Operational insights generation</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>We are specifically looking for profiles with:</p><ul><li><p>Strong experience in <strong>Computer Vision, Machine Learning, and Video Analytics</strong></p></li><li><p>Hands-on expertise in <strong>Python, TensorFlow, PyTorch, Scikit-learn</strong></p></li><li><p>Experience with <strong>object detection, tracking, and image processing</strong></p></li><li><p>Strong working knowledge of <strong>NVIDIA ecosystem (Jetson, TensorRT, DeepStream)</strong></p></li><li><p>Proven experience in <strong>edge deployment and on-prem AI environments</strong></p></li><li><p>Understanding of <strong>MLOps, model optimization, and monitoring</strong></p></li><li><p>Prior exposure to <strong>CCTV / surveillance analytics use cases</strong> (highly preferred)</p></li></ul></li></ul><p></p></section>

<p>About the Role</p><p><br></p><p>We are looking for a Pharmaceutical Data Specialist to join our team at EmergPharma, a pharmaceutical data and intelligence platform.</p><p><br></p><p>The primary responsibility of this role is to clean, standardize, validate, and structure pharmaceutical data to ensure high data quality and consistency across our platform.</p><p><br></p><p>The ideal candidate should have a strong pharmaceutical background combined with good technical and data skills. Experience with Python and data engineering concepts is highly desirable, as the role may gradually expand toward building automated data pipelines and data processing workflows.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><p>- Clean, standardize, and validate pharmaceutical datasets.</p><p>- Review and normalize pharmaceutical product information</p><p>- Identify and resolve duplicates, inconsistencies, missing values, and data quality issues.</p><p>- Develop and maintain rules for pharmaceutical data normalization.</p><p>- Convert and standardize different representations of pharmaceutical strengths and units.</p><p>- Perform data validation and quality checks before data is imported into the platform.</p><p>- Work with CSV and structured datasets as part of the current data workflow.</p><p>- Document data-cleaning rules and transformations to make the process reproducible.</p><p>- Collaborate closely with software and data teams to understand platform data requirements.</p><p>- Help identify opportunities to automate repetitive data-cleaning and validation tasks.</p><p>- Over time, contribute to developing automated data pipelines and broader data engineering workflows.</p><p><br></p><p></p><p><br></p><p><br></p><p><strong>Requirements</strong></p><p></p><p></p><p><strong>Essential</strong></p><p></p><p>- Strong understanding of pharmaceutical products and terminology.</p><p>- Strong attention to detail and ability to identify data inconsistencies.</p><p>- Good analytical and problem-solving skills.</p><p>- Experience working with structured data, particularly Excel / CSV files.</p><p>- Ability to work independently and systematically with large datasets.</p><p></p><p><strong>Technical Skills</strong></p><p></p><p>- Good knowledge of Python, particularly pandas, is highly preferred.</p><p>- Understanding of data cleaning and data transformation concepts.</p><p>- Basic knowledge of SQL is a plus.</p><p>- Familiarity with data validation and quality-control techniques is a plus.</p><p>- Familiarity with ETL / ELT concepts is a plus.</p><p>- Experience with data engineering tools and workflows is a plus.</p><p></p><p><strong>Nice to Have</strong></p><p></p><p>- Previous experience working with pharmaceutical databases or drug information systems.</p><p>- Experience in pharmaceutical market data.</p><p>- Experience with data normalization or master data management.</p><p>- Experience building automated data-cleaning scripts.</p><p>- Familiarity with databases such as PostgreSQL.</p><p>- Familiarity with data pipelines, ETL tools, or workflow orchestration.</p><p>- Experience working with APIs or external data sources.</p><p></p><p><strong>What You'll Do in the First Stage</strong></p><p></p><p>Initially, the role will focus primarily on:</p><p></p><p>Raw Pharmaceutical Data → Cleaning → Standardization → Validation → Clean Dataset → Platform Ingestion</p><p></p><p>The workflow is currently relatively simple, but we expect the data operation to evolve over time. The successful candidate will have the opportunity to help us design and automate the data-processing workflow as the platform grows.</p><p></p><p>Who We're Looking For</p><p></p><p>We are looking for someone who combines:</p><p></p><p>Pharmaceutical Knowledge + Data Quality Mindset + Technical Curiosity</p><p></p><p>You don't need to be an advanced Data Engineer from day one. However, you should be comfortable working with data programmatically and interested in gradually taking ownership of more advanced data engineering responsibilities.</p><p><br></p><p></p>

About the Role We are looking for a motivated Entry-Level / Associate Software Engineer to join our development team. You will support the design, development, and maintenance of software applications while learning from senior engineers and growing your technical skills. Key Responsibilities Assist in developing, testing, and deploying software applications Collaborate with senior engineers to troubleshoot and resolve issues Participate in code reviews and follow best coding practices Document technical specifications and system processes Support integration, debugging, and performance optimization Contribute to team discussions on architecture and new features Continuously learn new technologies and improve coding skills Qualifications Bachelor’s degree in Computer Science, Software Engineering, or related field Basic understanding of programming languages such as Python, Java, Java Script, or C#Familiarity with databases, APIs, and version control (Git) Knowledge of software development fundamentals and SDLCStrong analytical and problem-solving abilities Ability to work collaboratively in a team environment Eagerness to learn and grow in a fast-paced tech environment Preferred Skills Hands-on experience through internships or personal projects Understanding of web development frameworks (React, Node.js, Django, etc.) Exposure to cloud services (AWS, Azure, GCP) Knowledge of Agile development methodologies Benefits Competitive entry-level compensation package Mentorship and career development opportunities Friendly and supportive engineering team Training and upskilling programs Flexible work arrangements

About the Role We are looking for a motivated Entry-Level / Associate Software Engineer to join our development team. You will support the design, development, and maintenance of software applications while learning from senior engineers and growing your technical skills. Key Responsibilities Assist in developing, testing, and deploying software applications Collaborate with senior engineers to troubleshoot and resolve issues Participate in code reviews and follow best coding practices Document technical specifications and system processes Support integration, debugging, and performance optimization Contribute to team discussions on architecture and new features Continuously learn new technologies and improve coding skills Qualifications Bachelor’s degree in Computer Science, Software Engineering, or related field Basic understanding of programming languages such as Python, Java, Java Script, or C#Familiarity with databases, APIs, and version control (Git) Knowledge of software development fundamentals and SDLCStrong analytical and problem-solving abilities Ability to work collaboratively in a team environment Eagerness to learn and grow in a fast-paced tech environment Preferred Skills Hands-on experience through internships or personal projects Understanding of web development frameworks (React, Node.js, Django, etc.) Exposure to cloud services (AWS, Azure, GCP) Knowledge of Agile development methodologies Benefits Competitive entry-level compensation package Mentorship and career development opportunities Friendly and supportive engineering team Training and upskilling programs Flexible work arrangements

<ul><li><p><strong>1. Infrastructure Support & Environment Management</strong></p><ul><li><p>Set up and maintain <strong>compute infrastructure</strong>, including GPU-enabled environments.</p></li><li><p>Configure and manage <strong>Linux-based systems</strong> for development and production environments.</p></li><li><p>Provisioning and configuration of cloud and on-prem infrastructure.</p></li><li><p>Monitor system resources and assist in performance tuning and optimization.</p></li></ul><p><strong>2. Containerization & Deployment</strong></p><ul><li><p>Build and manage containerized applications using <strong>Docker</strong>.</p></li><li><p>Deploy and manage applications on <strong>Kubernetes clusters</strong> under guidance from senior engineers.</p></li><li><p>Creating deployment configurations, Helm charts, and environment setups.</p></li><li><p>Support scaling and orchestration of microservices and AI workloads.</p></li></ul><p><strong>3. CI/CD Pipeline Implementation</strong></p><ul><li><p>Develop and maintain <strong>CI/CD pipelines</strong> for application and AI model deployment.</p></li><li><p>Automate build, test, and deployment processes using tools like <strong>Azure DevOps, GitHub Actions, or Jenkins</strong>.</p></li><li><p>Ensure smooth promotion of code and models across environments (dev, test, prod).</p></li><li><p>Troubleshoot pipeline failures and deployment issues.</p></li></ul><p><strong>4. MLOps & AI Deployment Support</strong></p><ul><li><p>Deploying <strong>machine learning models and LLM-based services</strong>.</p></li><li><p>Integration of AI components into production systems.</p></li><li><p>Contribute to <strong>model versioning, monitoring, and lifecycle management</strong>.</p></li><li><p>Work with AI engineers to operationalize RAG pipelines and inference services.</p></li></ul><p><strong>5. Monitoring, Logging & Issue Resolution</strong></p><ul><li><p>Implement and maintain monitoring and logging solutions (e.g., <strong>Prometheus, Grafana, ELK</strong>).</p></li><li><p>Track application performance, system health, and availability.</p></li><li><p>Respond to incidents, troubleshoot issues, and escalate when required.</p></li><li><p>Assist in root cause analysis and continuous improvement.</p></li></ul><p><strong>6. Automation & Scripting</strong></p><ul><li><p>Write scripts (Python, Bash) to automate repetitive operational tasks.</p></li><li><p>Support Infrastructure as Code (IaC) initiatives using tools like <strong>Terraform or ARM templates</strong>.</p></li><li><p>Improve operational efficiency through automation and tooling.</p></li></ul><p><strong>7. Collaboration & Support</strong></p><ul><li><p>Work closely with <strong>Senior DevOps/MLOps Engineers, AI Engineers, and Development teams</strong>.</p></li><li><p>Support developers in environment setup, debugging, and deployment processes.</p></li><li><p>Follow DevOps and MLOps best practices and continuously improve operational workflows.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Science, Engineering, or related field.</p></li><li><p><strong>7+ years of experience</strong> in DevOps or platform engineering roles.</p></li><li><p>Basic to intermediate experience with <strong>Linux system administration</strong>.</p></li><li><p>Hands-on experience with <strong>Docker and containerization</strong>.</p></li><li><p>Familiarity with <strong>Kubernetes</strong> (deployment and basic management).</p></li><li><p>Experience with <strong>CI/CD tools</strong> (Azure DevOps, GitHub Actions, Jenkins, etc.).</p></li><li><p>Basic understanding of <strong>cloud platforms</strong> (Azure, AWS, or GCP).</p></li><li><p>Scripting skills in <strong>Python, Bash, or similar</strong>.</p></li><li><p>Understanding of <strong>version control systems (Git)</strong>.</p></li></ul><p><strong>Preferred Skills</strong></p><ul><li><p>Exposure to <strong>AI/ML model deployment and MLOps practices</strong>.</p></li><li><p>Familiarity with <strong>LLM deployment concepts and tools</strong>.</p></li><li><p>Basic knowledge of <strong>GPU environments and high-performance computing</strong>.</p></li><li><p>Experience with <strong>monitoring and logging tools</strong> (Prometheus, Grafana, ELK).</p></li><li><p>Knowledge of <strong>Infrastructure as Code (Terraform, ARM templates)</strong>.</p></li><li><p>Understanding of <strong>microservices architecture</strong>.</p></li></ul><p><strong>Key Performance Indicators (KPIs)</strong></p><ul><li><p>Deployment success rate and pipeline stability.</p></li><li><p>System uptime and availability.</p></li><li><p>Resolution time for incidents and issues.</p></li><li><p>Efficiency of CI/CD processes.</p></li><li><p>Infrastructure utilization and basic cost optimization.</p></li><li><p>Support effectiveness for development and AI teams.</p></li></ul><p><strong>Stakeholders & Reporting</strong></p><ul><li><p><strong>Reports to:</strong> Senior DevOps / MLOps Engineer / Platform Lead</p></li><li><p><strong>Key Stakeholders:</strong></p><ul><li><p>AI Engineers & Data Scientists</p></li><li><p>Backend & Frontend Developers</p></li><li><p>DevOps / Platform Team</p></li><li><p>QA & Release Management Teams</p></li></ul></li></ul>

<ol><li><p>Multi-Company ERP Design & Management (Critical)</p></li></ol><p>-Design and implement multi-company architecture in Odoo.</p><p>-Configure:</p><p>-Intercompany transactions (sales, purchases, transfers)</p><p>-Shared vs separate warehouses</p><p>-Multi-company chart of accounts</p><p>-Consolidated and individual financial reporting</p><p>-Ensure:</p><p>-Proper data segregation and access control</p><p>-Smooth intercompany workflows without duplication</p><p>-Handle cross-company inventory and procurement flows.</p><ol><li><p>Cross-Functional Coordination</p></li></ol><p>-Work closely with the IT department for system setup and integrations.</p><p>-Coordinate with heads of multiple entities/departments to:</p><p>-Align requirements across companies</p><p>-Ensure uniform processes where required</p><p>-Deliver tasks within timelines</p><p>-Act as a central point of contact for ERP across all companies.</p><ol><li><p>Business Understanding & Process Alignment</p></li></ol><p>-Understand group-level and entity-level business needs.</p><p>-Map workflows across:</p><p>-Manufacturing</p><p>-Supply chain</p><p>-Finance</p><p>-Standardize processes while allowing flexibility per company.</p><ol><li><p>Implementation & Configuration</p></li></ol><p>-Implement Odoo modules across companies:</p><p>-Manufacturing (MRP)</p><p>-Inventory & Warehouse</p><p>-Sales & Procurement</p><p>-Accounting</p><p>-Configure:</p><p>-Multi-warehouse setups</p><p>-BOMs and production workflows</p><p>-Product traceability across entities</p><ol><li><p>Customization & Development</p></li></ol><p>-Develop custom features for:</p><p>-Intercompany transactions automation</p><p>-Consolidated reporting</p><p>-Use Python, PostgreSQL, XML/QWeb for development.</p><ol><li><p>Data Migration (Multi-Entity)</p></li></ol><p>-Migrate and structure data separately for each company:</p><p>-Customers, vendors, products</p><p>-Financials and opening balances</p><p>-Ensure accurate consolidation and reconciliation across entities.</p><ol><li><p>UAT (Across Companies)</p></li></ol><p>-Conduct UAT for each company and cross-company workflows:</p><p>-Intercompany sales/purchase cycles</p><p>-Inventory transfers</p><p>-Financial consolidation</p><p>-Ensure all entities sign off before go-live.</p><ol><li><p>Training & User Enablement</p></li></ol><p>-Train teams across different companies/entities.</p><p>-Ensure users understand:</p><p>-Their company-specific workflows</p><p>-Intercompany processes</p><p>-Provide SOPs and manuals.</p><ol><li><p>Go-Live Execution</p></li></ol><p>-Plan phased or full go-live across companies.</p><p>-Ensure:</p><p>-Data readiness per entity</p><p>-Smooth transition with minimal disruption</p><ol><li><p>Post Go-Live Support</p></li></ol><p>-Provide support across all entities.</p><p>-Monitor:</p><p>-Intercompany issues</p><p>-Data inconsistencies</p><p>-Continuously improve system efficiency.</p><ol><li><p>Compliance & Reporting</p></li></ol><p>-Ensure compliance with UAE VAT across multiple entities.</p><p>-Generate:</p><p>-Entity-level reports</p><p>-Consolidated group reports</p><p>Required Skills</p><p>-Strong experience in multi-company Odoo implementation</p><p>-Expertise in:</p><p>-Intercompany workflows</p><p>-Consolidation logic</p><p>-Multi-warehouse & multi-ledger systems</p><p>-Technical skills:</p><p>-Python, PostgreSQL, XML/QWeb</p><p>Preferred Experience</p><p>-Manufacturing / Copper / Industrial sector</p><p>-Experience with:</p><p>-Tally to Odoo migration</p><p>-Import/export, Incoterms, LC cycles</p><p>-Prior experience handling group companies in UAE/GCC</p><p>Key Competencies</p><p>-Strong coordination across multiple stakeholders</p><p>-Ability to manage complex multi-entity ERP structures</p><p>-Training and user adoption expertise</p><p>-Problem-solving under go-live pressure</p><p><strong>Desired Candidate Profile</strong></p><p>We are looking for a highly experienced and technically strong Senior Odoo Engineer with proven expertise in end-to-end ERP implementation across multi-company environments, preferably within UAE/GCC industrial or manufacturing sectors. The ideal candidate will have deep hands-on experience in both technical development and functional ERP architecture, with the ability to independently design, implement, and manage complex Odoo systems across multiple business entities.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure.<br> We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility.<br> Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators.<br> Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents.<br> We deploy edge and cloud solutions that make intersections and highways safer and smarter.<br> Role Overview We are looking for a Full-Stack Software Engineer to join our growing engineering team.<br> In this role, you will work across frontend, backend, and cloud infrastructure to build scalable, high-availability products and services powering intelligent transportation systems.<br> You will contribute to customer-facing applications, backend APIs, cloud-native services, and data pipelines that support real-time analytics, complex workflows, and production-critical operations.<br> This role is ideal for someone who enjoys owning features end-to-end, building for scale, and working in a fast-moving environment where engineering has direct impact on real-world deployments.<br> Key Responsibilities Design, develop, and maintain full-stack applications across frontend and backend systems Build responsive and scalable frontend applications using React (Remix), TypeScript, and Vue.<br>js Develop backend services and APIs using NestJS and modern microservice architectures Design and optimize integrations with relational databases and data platforms Build and maintain event-driven cloud pipelines using AWS services such as S3, SQS, Lambda, Cognito, and API Gateway Develop ETL and data transformation workflows using Python Deploy and manage containerized applications using Docker and Kubernetes (EKS) Contribute to CI/CD pipelines using GitHub Actions and ArgoCD Collaborate with product, engineering, and deployment teams to deliver reliable production-ready solutions Troubleshoot production issues, improve system performance, and support scalability initiatives Participate in technical discussions, architecture reviews, and engineering best practices 7+ years of experience in Full‑Stack engineering, working across frontend, backend, and production environments Experience building scalable, high-availability platforms that support large user volumes, complex workflows, and production-critical operations Strong frontend experience with React (Remix), TypeScript, and Vue.<br>js (Vue 2 – legacy) Backend experience using NestJS and building APIs / microservices Solid experience with relational databases (RDBMS) and familiarity with MongoDB and Amazon Redshift Hands‑on experience with public cloud platforms (AWS preferred) and services such as S3, SQS, Lambda, Cognito, and API Gateway Experience building event‑driven pipelines (S3 → SQS → Lambda), using Python for ETL and data transformation Experience with CI/CD pipelines (GitHub Actions, ArgoCD) and containerized deployments using Docker and Kubernetes (EKS) Comfortable working independently, taking ownership, and operating in a fast‑moving environment</span> </div>

Jordan + 4 more<br><br>AI & Automation Engineers<br><br>Organization<br><br>Connecting Research to Development<br><br>Posted 28 Jul 2026 Closing date 20 Aug 2026<br><br>Something is being built at CRD. We invite you to build its engine.<br><br>EXPERIENCE: A track record of pipelines and automations running in production: Power Automate, n8n, Python, or the tool that fits. Practical application of LLMs to real workflows: quality assurance, document generation, analysis.<br><br>SKILLS: The ability to carry a loosely defined problem to a working, documented, reproducible system. Familiarity with survey data (Kobo/ODK) or the health and development sector is welcome, though not required.<br><br>CHARACTER<br><br>We Look For Builders Who<br><br>— Ship working systems, and improve them in motion<br><br>— Document with care, for those who come after<br><br>— Offer honest counsel, even when it is unwelcome<br><br>— Find more satisfaction in a running pipeline than a polished slide<br><br>THE ENGAGEMENT<br><br>Remote engagement, part-time, retainer, or consultancy, structured around delivery rather than hours.<br><br>How to apply<br><br>CV, one working system you have built (link or description), and a 300-word reflection: a<br><br>challenge you recognized before others did, and how you addressed it.<br><br>EMAIL to be sent to recruitment@crdconsultancy.org — Subject: AI<br><br> Your Name<br><br>Job details<br><br>Countries<br><br>Jordan Lebanon Syrian Arab Republic United Arab Emirates Yemen<br><br>Source<br><br>Connecting Research to Development<br><br>Type<br><br>Job<br><br>Career category<br><br>Information and Communications Technology<br><br>Years of experience<br><br>5-9 years<br><br>Share<br><br> Share this on Facebook Share this on X Post this on Linked In