Qureos Mentor

Atain

Atain is an enterprise orchestration partner that integrates people, processes, and platforms using AI to redefine work and ensure assured outcomes. Through its SMART Framework, Atain enhances operational metrics and delivers reliable results. The company's Unified Hub continuously adapts and optimizes workflows, leveraging deep domain expertise and a robust partner ecosystem to meet evolving customer expectations and drive business value.

<div>
 
 
 Role: On-Site Delivery Manager (SSK &amp; SBD Project)
 
 
 
 
 Location:
 
 Muscat International Airport (with support to Salalah rollout)
 
 
 
 Duration:
 
 6 Months
 
 
 
 
 
 
 1. Objective
 
 
 
 The On-Site Delivery Manager will be responsible for end-to-end coordination and execution of the Self-Service Check-in Kiosk (SSK) and Self Baggage Drop (SBD) implementation at airport level, ensuring timely delivery, integration, testing, and go-live in line with the project schedule.
 
 
 
 
 
 
 2. Key Responsibilities
 
 
 
 
 A. On-Site Project Coordination
 
 
 <ul>
 <li>
 Act as the single point of contact on-site between Oman Air, vendor(s), airport authorities, and third parties.
 </li>
 <li>
 Coordinate daily activities across all workstreams: kiosks, SBD, BHS, network, power, and civil works.
 </li>
 <li>
 Ensure alignment between design, delivery, and installation activities.
 </li>
 </ul>
 
 
 B. Installation &amp; Site Readiness
 
 
 <ul>
 <li>
 Ensure site readiness (power, data, space, civil works) before equipment arrival.
 </li>
 <li>
 Coordinate installation activities for kiosks and SBD units at MCT and SLL.
 </li>
 <li>
 Monitor compliance with approved layouts and technical specifications.
 </li>
 </ul>
 
 
 C. Vendor &amp; Stakeholder Management
 
 
 <ul>
 <li>
 Manage Elenium and other vendors on-site.
 </li>
 <li>
 Coordinate with:
 </li>
 <li>
 Airport operator (MCT/SLL)
 </li>
 <li>
 BHS provider
 </li>
 <li>
 IT/network teams
 </li>
 <li>
 Security and access control teams
 </li>
 <li>
 Escalate delays, risks, and blockers proactively.
 </li>
 </ul>
 
 
 D. Integration Oversight
 
 
 <ul>
 <li>
 Coordinate SSK application integration with
 
 Sabre DCS
 
 , ensuring readiness of:
 </li>
 <li>
 Check-in flows (passenger retrieval, seat selection, boarding pass issuance)
 </li>
 <li>
 Baggage tagging and linkage with SBD
 </li>
 <li>
 Ancillary services (if applicable)
 </li>
 <li>
 Validate that required
 
 interfaces, connectivity, and credentials
 
 are available and tested on-site.
 </li>
 <li>
 Ensure alignment between
 
 Voyager application, kiosk hardware, and Sabre DCS
 
 during testing phases.
 </li>
 <li>
 Support troubleshooting of
 
 real-time transaction issues
 
 during SIT/UAT and go-live.
 </li>
 <li>
 Coordinate integration activities with:
 </li>
 <li>
 BHS/BRS systems
 </li>
 <li>
 Sabre (via central team)
 </li>
 <li>
 Network and infrastructure
 </li>
 <li>
 Ensure all dependencies are met before testing phases.
 </li>
 </ul>
 
 
 E. Testing &amp; Acceptance
 
 
 <ul>
 <li>
 Support and coordinate:
 </li>
 <li>
 End-to-end
 
 check-in and baggage drop scenarios
 
 </li>
 <li>
 Sabre DCS transaction validation (PNR retrieval, check-in, tag issuance)
 </li>
 <li>
 Factory Acceptance Test (FAT) readiness (logistics side)
 </li>
 <li>
 Site Acceptance Testing (SAT)
 </li>
 <li>
 Combined UAT (Kiosk + SBD + Voyager + BHS)
 </li>
 <li>
 Confirm readiness for
 
 airline operational acceptance
 
 before go-live.
 </li>
 </ul>
 
 
 F. Go-Live &amp; Hypercare
 
 
 <ul>
 <li>
 Lead on-site readiness for go-live at:
 </li>
 <li>
 MCT (target: 7 Dec 2026)
 </li>
 <li>
 SLL (target: 14 Dec 2026)
 </li>
 <li>
 Coordinate operational teams during go-live.
 </li>
 <li>
 Support hypercare period and issue resolution.
 </li>
 </ul>
 
 
 G. Reporting &amp; Governance
 
 
 <ul>
 <li>
 Maintain daily/weekly status reporting:
 </li>
 <li>
 Progress vs plan
 </li>
 <li>
 Risks and issues
 </li>
 <li>
 Dependencies
 </li>
 <li>
 Maintain site tracker covering:
 </li>
 <li>
 Installation progress
 </li>
 <li>
 Equipment delivery
 </li>
 <li>
 Testing status
 </li>
 <li>
 Provide clear escalation to project steering team.
 </li>
 </ul>
 
 
 
 
 
 3. Key Deliverables
 
 
 <ul>
 <li>
 Site readiness validation reports
 </li>
 <li>
 Installation progress tracker (daily/weekly)
 </li>
 <li>
 Risk &amp; issue log with mitigation actions
 </li>
 <li>
 Testing coordination plan (SAT/UAT)
 </li>
 <li>
 Go-live readiness checklist
 </li>
 <li>
 Daily updates during critical phases (installation &amp; go-live)
 </li>
 </ul>
 
 
 
 
 
 4. Timeline Coverage (6 Months Focus)
 
 
 
 The role will primarily cover:
 
 <ul>
 <li>
 Equipment delivery &amp; logistics
 </li>
 <li>
 Site readiness and installation (MCT &amp; SLL)
 </li>
 <li>
 BHS integration coordination
 </li>
 <li>
 Testing phases (FAT follow-up, SAT, UAT)
 </li>
 <li>
 Go-live and stabilization
 </li>
 </ul>
 
 
 
 
 
 5. Success Criteria
 
 
 <ul>
 <li>
 On-time go-live delivery (MCT &amp; SLL)
 </li>
 <li>
 No major delays due to site readiness or coordination gaps
 </li>
 <li>
 Smooth integration with BHS and infrastructure
 </li>
 <li>
 Successful UAT sign-off without critical defects
 </li>
 <li>
 Controlled and stable go-live with minimal operational disruption
 </li>
 </ul>
 
 
 
 
 
 6. Required Profile
 
 
 <ul>
 <li>
 8+ years of experience in on-site project delivery, preferably in airport or similar operational environments
 </li>
 <li>
 Proven experience with kiosk, SBD, or passenger processing systems
 </li>
 <li>
 Good understanding of check-in flows and airline operations
 </li>
 <li>
 Experience coordinating multiple vendors on-site
 </li>
 <li>
 Exposure to DCS integration (preferably Sabre) and ability to support testing and troubleshooting
 </li>
 <li>
 Familiarity with BHS/baggage systems and airport infrastructure
 </li>
 <li>
 Hands-on, proactive, and able to manage issues on-site in real time
 </li>
 <li>
 Experience in testing (UAT) and go-live support
 </li>
 </ul>
 
 
 
 
 
 7. Reporting Line
 
 
 <ul>
 <li>
 Reports to: Project Manager / Digital &amp; Airport Systems Lead
 </li>
 <li>
 Works closely with: IT, Ground Operations, Airport Authority, Vendor teams
 </li>
 </ul>
 
 
 
 
 
 8. Notes
 
 
 <ul>
 <li>
 Role is execution-focused (not design or strategy).
 </li>
 <li>
 Must be physically present on-site during installation, testing, and go-live phases.
 </li>
 <li>
 Flexibility required for extended hours during critical milestones.
 </li>
 </ul>
 
 
 
</div>

Delivery manager (Airport)

<div>
 
 
 Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
 
 
 
 
 Experience:
 
 7&ndash;12 Years
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 
 Job Summary
 
 
 
 
 
 
 We are looking for an experienced
 
 AI Engineer
 
 with strong expertise in
 
 Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
 
 to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
 
 Revenue Management domain
 
 is a strong advantage.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI solutions using
 
 Azure Databricks
 
 , Python, and modern AI frameworks.
 </li>
 <li>
 Build and orchestrate
 
 Agentic AI
 
 applications using multi-agent architectures and autonomous workflows.
 </li>
 <li>
 Develop, integrate, and manage
 
 Model Context Protocol (MCP) Servers
 
 for secure tool and data access.
 </li>
 <li>
 Design and implement
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines for enterprise AI applications.
 </li>
 <li>
 Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
 </li>
 <li>
 Build scalable data pipelines using
 
 PySpark
 
 , SQL, and Delta Lake on Azure Databricks.
 </li>
 <li>
 Integrate AI applications with enterprise systems, APIs, and cloud services.
 </li>
 <li>
 Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
 </li>
 <li>
 Monitor AI model performance, ensure governance, security, and responsible AI practices.
 </li>
 <li>
 Stay updated with emerging AI technologies and recommend innovative solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 ,
 
 PySpark
 
 , Python, and SQL.
 </li>
 <li>
 Strong experience building
 
 Agentic AI
 
 solutions and multi-agent orchestration.
 </li>
 <li>
 Experience developing and deploying
 
 MCP Servers
 
 .
 </li>
 <li>
 Expertise in
 
 Large Language Models (LLMs)
 
 , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
 </li>
 <li>
 Experience with
 
 Azure AI Services
 
 , Azure OpenAI, or similar cloud AI platforms.
 </li>
 <li>
 Knowledge of REST APIs, microservices, and cloud-native architectures.
 </li>
 <li>
 Strong problem-solving skills and ability to work in Agile environments.
 </li>
 </ul>
 
 
 
 
 
 About Atain:
 
 
 
 
 
 
 
 (http://www.atain.com)
 
 
 
 Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 
 
 
 
 
 Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
</div>

Artificial Intelligence Engineer

<div>
 
 
 Job Title: Senior Data Engineer
 
 
 
 
 Experience:
 
 7 to 12 Years
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 
 We are looking for an experienced
 
 MS Dynamics CRM Tester
 
 with strong expertise in the
 
 Airline Booking/Reservation domain
 
 and
 
 Automation Testing using Selenium Java
 
 to join our QA team. The role involves validating CRM workflows, integrations, and end-to-end airline booking journeys across web, mobile, API, and automation frameworks while collaborating with onsite and offshore teams
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Perform functional, integration, system, regression, and
 
 automation testing
 
 for Microsoft Dynamics CRM (Dynamics 365) applications.
 </li>
 <li>
 Design, develop, and maintain
 
 automation test scripts using Selenium WebDriver with Java
 
 .
 </li>
 <li>
 Validate end-to-end
 
 airline booking workflows
 
 , including flight search, reservations, ticketing, payments, check-in, loyalty programs, cancellations, and customer service modules.
 </li>
 <li>
 Create and execute test cases, test plans, automation suites, and test scenarios based on business requirements and user stories.
 </li>
 <li>
 Test CRM integrations with airline systems such as booking engines, payment gateways, loyalty platforms, and third-party APIs.
 </li>
 <li>
 Perform API testing using Postman/REST clients.
 </li>
 <li>
 Execute SQL queries for backend data validation.
 </li>
 <li>
 Work closely with Business Analysts, Developers, and Product Owners across onsite (Abu Dhabi) and offshore teams.
 </li>
 <li>
 Participate in Agile/Scrum ceremonies and contribute to sprint planning and release cycles.
 </li>
 <li>
 Log, track, and manage defects using JIRA/Azure DevOps.
 </li>
 <li>
 Support UAT cycles, production release validation, and automation regression execution
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 <ul>
 <li>
 
 7+ years
 
 of experience in Software Testing/QA.
 </li>
 <li>
 Hands-on testing experience in
 
 Microsoft Dynamics CRM (Dynamics 365)
 
 .
 </li>
 <li>
 
 Strong experience in the Airline Booking/Reservation domain
 
 with knowledge of booking, ticketing, check-in, loyalty, and ancillary services.
 </li>
 <li>
 
 Hands-on Automation Testing experience using Selenium WebDriver with Java.
 
 </li>
 <li>
 Experience in building and maintaining automation frameworks using
 
 Selenium, Java, TestNG/JUnit, and Maven/Gradle
 
 .
 </li>
 <li>
 Experience in API testing and integration testing using Postman/REST Assured.
 </li>
 <li>
 Experience with SQL for data validation.
 </li>
 <li>
 Strong understanding of STLC, SDLC, and Agile methodologies.
 </li>
 <li>
 Experience with Test Management and Defect Tracking tools (JIRA/Azure DevOps).
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience working with distributed onsite/offshore teams.
 </li>
 </ul>
 
 
 
 
 
 About Atain:
 
 
 
 
 
 
 
 (http://www.atain.com)
 
 
 
 Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 
 
 
 
 
 IGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
</div>

Microsoft Dynamic Tester

<div>
 
 
 Sr. AI Engineer
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 Full-time
 
 
 
 
 Exp.:
 
 7-8+ Yrs.
 
 
 
 
 
 
 Key Skills:
 
 AI/ML, Azure, Databricks, Airlines Revenue management exp. is required
 
 
 
 
 
 
 Description:
 
 
 
 We are seeking an AI Engineer with strong experience in
 
 Azure Databricks
 
 and
 
 Airlines Revenue Management
 
 domain. The role involves designing and deploying AI/ML models that optimize pricing, forecasting, demand prediction, and revenue optimization for airline business functions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and AI models on
 
 Azure Databricks
 
 .
 </li>
 <li>
 Work on airline revenue management use cases such as
 
 fare optimization, demand forecasting, seat inventory optimization, and dynamic pricing
 
 .
 </li>
 <li>
 Build scalable data pipelines using Spark, Databricks, and Azure Data Services.
 </li>
 <li>
 Collaborate with business and data teams to translate revenue management requirements into AI-driven solutions.
 </li>
 <li>
 Develop and maintain end-to-end ML lifecycle including data preprocessing, feature engineering, model training, validation, and deployment.
 </li>
 <li>
 Optimize model performance and ensure scalability in production environments.
 </li>
 <li>
 Integrate ML solutions with airline systems and analytics platforms.
 </li>
 <li>
 Monitor model performance and continuously improve accuracy and business impact.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5&ndash;10 years of experience in AI/ML or Data Science roles.
 </li>
 <li>
 Strong hands-on experience with
 
 Azure Databricks
 
 and Spark ecosystem.
 </li>
 <li>
 Solid experience in
 
 Python, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch, or similar)
 
 .
 </li>
 <li>
 Strong understanding of
 
 Airlines Revenue Management concepts
 
 (pricing, forecasting, yield management, demand optimization).
 </li>
 <li>
 Experience working with large-scale data pipelines and cloud-based data platforms (Azure preferred).
 </li>
 <li>
 Experience in building and deploying production-grade ML models.
 </li>
 </ul>
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
 
 
 
 
</div>

<div>
 
 
 Data Scientist
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 Full-time
 
 
 
 
 
 
 
 Exp.:
 
 7-8+ Yrs.
 
 
 
 
 
 
 Key Skills:
 
 Generative AI, Regression, Modeling, LLM
 
 
 (Revenue management exp. is preferred)
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 We are seeking a
 
 highly skilled Data Scientist with strong expertise in Machine Learning and AI, along with experience in the airline or aviation domain.
 
 The ideal candidate will drive data-driven innovation, build scalable AI solutions, and enhance customer and operational experiences within the travel ecosystem.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and deploy Machine Learning and AI models to solve business problems in the airline domain (e.g., pricing, demand forecasting, customer experience, operations).
 </li>
 <li>
 Build and implement advanced analytics solutions using NLP, deep learning, and Generative AI techniques.
 </li>
 <li>
 Develop AI-powered applications such as chatbots, recommendation systems, and intelligent automation tools.
 </li>
 <li>
 Work with large-scale structured and unstructured datasets to extract actionable insights.
 </li>
 <li>
 Collaborate with cross-functional teams including business, engineering, and product teams to deliver impactful solutions.
 </li>
 <li>
 Deploy scalable solutions using cloud platforms (AWS/GCP/Azure) and modern frameworks.
 </li>
 <li>
 Monitor model performance and continuously improve accuracy and efficiency.
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Strong experience in Machine Learning, Deep Learning, and AI techniques.
 </li>
 <li>
 Hands-on experience with NLP, LLMs, and/or Generative AI (RAG, chatbots, etc.).
 </li>
 <li>
 Proficiency in Python, SQL, and data processing tools (e.g., PySpark).
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Knowledge of model deployment frameworks (FastAPI, Flask, Docker).
 </li>
 <li>
 Experience working in the airline/travel domain (pricing, operations, customer analytics, etc.) is highly preferred.
 </li>
 <li>
 Strong problem-solving skills and ability to translate business problems into analytical solutions.
 </li>
 </ul>
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with real-time data processing and AI-driven automation.
 </li>
 <li>
 Familiarity with tools like LangChain, Snowflake, or similar modern data platforms.
 </li>
 <li>
 Prior experience working in global or cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
 
</div>

Data Scientist

<div>
 
 We are seeking a highly skilled AI Engineer with strong expertise in Microsoft Dynamics integrations and Microsoft Copilot enablement within the Dynamics ecosystem. The ideal candidate will have hands-on experience designing AI-powered enterprise solutions, integrating Dynamics 365 with internal and external platforms, and configuring Copilot capabilities to enhance business operations and customer experiences.
 
 
 
 
 
 
 Candidates with prior experience in the airline or aviation industry will be strongly preferre
 
 
 
 
 
 d
 
 Key Responsibilitie
 
 
 
 
 <ul>
 <li>
 s:
 
 Design, develop, and maintain AI-driven solutions integrated with Microsoft Dynamics
 </li>
 <li>
 365Configure and enable Microsoft Copilot capabilities across the Dynamics ecosys
 </li>
 <li>
 temBuild and support integrations between Dynamics 365 and enterprise systems using APIs, middleware, and cloud servi
 </li>
 <li>
 cesCollaborate with business stakeholders to identify AI automation and productivity opportunit
 </li>
 <li>
 iesImplement conversational AI, intelligent workflows, and copilots for customer service, operations, and employee productiv
 </li>
 <li>
 ityWork with Azure AI services, OpenAI integrations, and Microsoft Power Platform technolog
 </li>
 <li>
 iesDevelop secure and scalable data pipelines for AI model consumption and enterprise report
 </li>
 <li>
 ingOptimize Dynamics workflows using AI-assisted automation and predictive capabilit
 </li>
 <li>
 iesSupport deployment, monitoring, and governance of AI-enabled enterprise applicati
 </li>
 <li>
 onsEnsure compliance with enterprise security, privacy, and governance standa
 </li>
 <li>
 rdsParticipate in architecture discussions, solution design, and technical documentat
 </li>
 </ul>
 
 
 
 ion
</div>

Microsoft Dynamics Consultant

Join Atain and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Atain

About Company

Delivery manager (Airport)

Artificial Intelligence Engineer

Microsoft Dynamic Tester

Artificial Intelligence Engineer

Data Scientist

Microsoft Dynamics Consultant