Data Scientist Jobs

## Full Description The OpportunityWe are looking for an eager to grow Applied Scientist to be a part of the team at Presight AI!About PresightPresight, 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.Key ResponsibilitiesPerform the entire R&D cycle (building computer vision models, training them and building statistical models for measuring the performance and deploying it on the production environment) for new and existing products that use Computer vision methodologiesDesign new algorithms for different purposes (such as improving the accuracy and domain adaptation)Perform data analysis for different requirementsWork with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in fields related to our projects.Communicate ideas and results effectively in both verbal and written form to other teams, clients, and stakeholdersCollaborate with commercial and other technical teams towards deployment of AI models in production scenarios. Requirements:Masters or Equivalent Degree in Computer Science, Mathematics or relevant field.Strong desire to integrate innovation with product development and augment your research abilities with solid programming in Python and C/C++Proficiency with common DL libraries such as pytorch, TensorRT and CUDAMust be good in hardware architecture, like x86, ARM, NPU and GPUsGood understanding of deep neural networks used in computer vision applications (CNNs, Vision transformers, Generative models, etc), as well as classical computer vision techniquesSound understanding of probabilistic systems, and statistical modelsWillingness to learn and apply a wide range of technologiesIdeally, you’ll also needHigh proficiency in English language, both verbal and written.Excellent communication skills (oral and written) with ability to effectively communicate by telephone, face to face and emailExcellent organization and time management skills, and ability to work on own initiative, accurately to tight deadlines, and prioritizationAbility to handle multiple tasks with tight deadlines simultaneouslyEffective team player and excellent relationship building skills with ability to demonstrate a high level of discretion and positive attitude with all internal and external stakeholdersAbility to maintain the highest level of confidential/sensitive information and professionalismFlexibilityKnowledge of Arabic is a plusWhat we look for:If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Presight community.What working at Presight offers:Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

About this Role: Job Overview:We are seeking a highly skilled and motivated Senior GIS Consultant to join our team. The ideal candidate will have extensive experience in Survey123 and the implementation of ArcGIS Enterprise. As a Senior GIS Consultant, you will play a pivotal role in delivering high-quality GIS solutions to our clients, ensuring successful project outcomes, and contributing to the growth of our GIS capabilities.Key Responsibilities:Lead the design, development, and implementation of GIS projects using ArcGIS Enterprise.Utilize Survey123 to create and manage custom surveys, collect and analyze spatial data, and integrate results into broader GIS solutions.Collaborate with clients to understand their needs, provide expert advice, and develop tailored GIS solutions that meet their business objectives.Manage and maintain GIS databases, ensuring data integrity, accuracy, and security.Conduct spatial analysis and modeling to support decision-making processes for various projects.Provide training and support to clients and team members on the use of GIS tools and applications.Stay current with the latest GIS technologies, trends, and best practices to ensure our solutions are cutting‑edge and effective.Participate in business development activities, including proposal writing, client presentations, and project scoping.Qualifications:Bachelor's or Master's degree in Geography, Geospatial Science, Environmental Science, Computer Science, or a related field.Minimum of 5 years of experience in GIS consulting, with a focus on Survey123 and ArcGIS Enterprise.Proven track record of successfully implementing GIS solutions and managing complex projects.Strong proficiency in Survey123, including survey design, data collection, and integration with other GIS applications.In-depth knowledge of ArcGIS Enterprise, including installation, configuration, and administration.Excellent problem-solving skills and the ability to think critically and creatively.Strong communication and interpersonal skills, with the ability to work effectively with clients and team members.Experience with other GIS tools and technologies (e.g., ArcGIS Online, QGIS, Python, SQL) is a plus.Ability to work independently and manage multiple projects simultaneously.Why Join Us:Opportunity to work with a passionate and experienced team of GIS professionals.Engage in diverse and challenging projects that make a real impact.Access to ongoing professional development and training opportunities.Competitive salary and benefits package.Flexible work environment with options for remote work. #J-18808-Ljbffr

Borouge PTE in Singapore is seeking a Senior Data Scientist (Machine Learning) to lead learning and development initiatives, design and monitor training programs, and support talent management across functions. You will collaborate with senior leaders and regional stakeholders to implement development strategies, review policies, and ensure ISO-aligned procedures are followed, focusing on building a strong learning organisation. #J-18808-Ljbffr

Etihad Airways, based in Abu Dhabi, seeks an experienced Data Scientist AI to design, develop and deploy ML/AI solutions that transform business processes and unlock data-driven insights. You will drive production-grade generative AI efforts, including LLMs, RAG, and agentic applications, integrated with enterprise systems. You will collaborate with business and technology teams to translate requirements into scalable AI products, establish governance, and ensure secure, cost-efficient solutions #J-18808-Ljbffr

Project description As the AI Engineer within the Data Analytics & Artificial Intelligence division, you will design, develop, and deploy production-grade AI solutions using Microsoft Azure AI Services and Python. Your focus will be on advancing the bank's capabilities in Generative AI, Agentic AI, intelligent automation, knowledge search, and content summarization by building scalable, secure, reliable, and responsible AI systems that enhance operational efficiency, customer engagement, and decision intelligence across the Group. The AI Engineer will work closely with Data Scientists, Platform Engineers, DevOps/MLOps Engineers, Business Analysts, and product teams to deliver end-to-end AI solutions. The role is critical for driving the organization's digital transformation agenda, empowering business users with advanced AI-powered tools, and improving operational efficiency through intelligent automation using Banks GERNAS OS platform and Agent Development Kit (ADK). Responsibilities • AI Solution Design & Development: Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks. • LLM Integration & Generative AI: Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation. • Python Engineering & Backend Development: Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI. • RAG & Semantic Retrieval: Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence. • Agentic AI Development: Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner. • Model Evaluation & Responsible AI: Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience. • Deployment & Production Operations: Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques. • Collaboration & Stakeholder Engagement: Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions. • Innovation & Continuous Learning: Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures SKILLS Must have • Experience: total 6 to 10+ years in software field with minimum 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments. • Minimum 3-4 yrs of working experience mandatory on below technical skills sets: • Azure AI Services: Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks. • Python Programming: Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI). • LLM & Generative AI: Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques. • ML Libraries & Frameworks: Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK). • Vector Databases: Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone. • DevOps/MLOps: Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights. • Cloud Security & Integration: Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns. • AI Ethics & Governance: Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems. 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AI Enterprise Architect Job Description Job Purpose: This role sits with FAB's AI Hub Innovation team and AI Enterprise Architect is responsible for designing, governing, and evolving the AI Innovation Hub AI architecture of the solutions, ensuring alignment with business strategy, goals, technology standards, and regulatory requirements. Key Responsibilities: • Responsible for producing the Architecture Artifacts such as Architecture Decision Records (ADR) and Solution Architecture Design (SAD). • Define and maintain the enterprise AI architecture, ensuring alignment with business goals, technology standards, and regulatory requirements • Lead the evaluation, selection, and adoption of AI technologies, platforms, and tools across the initiatives. • Develop and enforce architectural standards, best practices, and governance frameworks for AI initiatives • Collaborate with business, data, and technology teams to design end-to-end AI solutions that are scalable, secure, and cost-effective • Oversee integration of AI/ML models into production systems, ensuring reliability, performance, and maintainability • Guide architects, engineers, and scientists on application strategy, model lifecycle management, and MLOps practices Requirements / Qualifications: • 5+ years of experience in enterprise architecture, with a strong focus on AI, data, or advanced analytics in large-scale environments • Proven track record in designing and implementing AI/ML platforms, frameworks, and reference architectures at enterprise scale • Deep understanding of AI/ML lifecycle, including data engineering, model development, deployment, monitoring, and governance • Expertise in cloud-native architectures, hybrid/multi-cloud strategies, and integration of AI solutions with existing enterprise systems • Strong knowledge of data privacy, security, and regulatory compliance (e.g., GDPR, local data laws) as they relate to AI • Ability to translate business strategy into AI architecture roadmaps and actionable blueprints • Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences • Educational qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; relevant certifications (e.g., TOGAF, AWS/Azure Architect, AI/ML certifications) are preferred Preferred / Beneficial: • Experience in banking or other highly regulated industries preferred About Us About Us: First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients. Life at FAB: Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to "Grow Stronger." We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization Career Development: FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development. Our Values: At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication. Join our team and be part of a journey to shape the future of banking.

Job Description Synopsis Join us in shaping the future of AI and data-driven innovation. As a Data Scientist AI, you will develop machine learning and generative AI solutions that solve complex business challenges, automate processes, and unlock valuable insights from data. Working closely with business and technology teams, you will take ideas from concept to production, delivering scalable, secure, and impactful AI products. Accountabilities • Design, develop, deploy, and monitor machine learning and AI solutions addressing business-critical challenges. • Translate business requirements into data science and AI use cases, defining success measures and evaluation criteria. • Analyze large and complex datasets to generate actionable insights, predictive models, and decision-support solutions. • Develop and optimize machine learning models through feature engineering, validation, testing, and performance tuning. • Build and deploy LLM-powered, retrieval-augmented, and agentic AI applications for automation, knowledge management, and business process optimization. • Design document intelligence, search, and information retrieval solutions using structured and unstructured enterprise data. • Establish evaluation frameworks, monitoring, observability, and governance controls to ensure solution quality, reliability, and cost efficiency. • Collaborate with engineering teams to deliver scalable, secure, and production-ready AI applications integrated with enterprise platforms and systems. • Lead discovery workshops, process assessments, and stakeholder engagements to identify and prioritize AI opportunities. • Communicate findings, recommendations, and model outcomes through effective storytelling, visualization, and executive-level presentations. • Promote best practices in machine learning, AI engineering, responsible AI, and data governance. • Stay current with emerging trends and technologies across artificial intelligence, machine learning, generative AI, and advanced analytics. Qualifications Education & Experience • Bachelor's degree in Computer Science, Data Science, AI, Mathematics, Statistics, or a related discipline. • 5+ years of experience in Data Science, Machine Learning, or AI, including 2+ years delivering production-grade Generative AI solutions. • Strong Python skills with hands-on experience in machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience building and deploying LLM, RAG, and agentic AI solutions using platforms such as Azure OpenAI, OpenAI, LangChain, or Semantic Kernel. • Solid understanding of machine learning, statistical modelling, predictive analytics, and AI evaluation practices. • Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP) with knowledge of APIs, CI/CD, and containerization. • Experience integrating AI solutions with enterprise systems and business processes. • Strong communication, stakeholder management, and problem-solving skills, with the ability to work independently in a fast-paced environment. Additional Information Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight. To learn more visit www.etihad.com Recruitment Fraud Alert Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.

Borouge PTE is seeking a Senior Data Scientist (Machine Learning) with a focus on learning & development, competency development, and internship programs. The role collaborates with leadership and regional stakeholders to design, implement and monitor training and talent initiatives in Singapore. Key areas include development need analysis, competency frameworks, succession planning, and leadership development, driving organizational capability and workforce readiness in a dynamic environment. #J-18808-Ljbffr

# Data Scientist, Etihad AirwaysData ScientistUnited Arab Emirates, Abu DhabiApril 27, 2026Full TimeApply Now### Job DescriptionThe Data Scientist at Etihad Airways uses advanced statistical methods together with machine learning techniques to improve airline operations. The role requires analysis of complex datasets, development of predictive models, and process optimization to achieve efficiency gains and improved reliability and customer experience, while the team works together with other departments to create innovative solutions that result in measurable operational improvements.**Job ID**: NA**Date Posted**: NA**Expiration Date:** NA**Apply:** Click Here**Main Duties*** Data examination to discover insights and find practical solutions from their analysis of extensive complex data sets.* Predictive models and operational algorithms which they implement to solve aviation industry challenges.* Continuously refine and optimize machine learning models for improved accuracy, scalability, and automation.* Collaborate with cross-functional teams to co-create AI-driven solutions delivering measurable business value.* Communicate findings, insights, and recommendations effectively to both technical and non-technical stakeholders.**Essential Qualifications*** Bachelor’s degree or higher degree in Data Science Computer Science Aviation Engineering meets essential educational requirements for this position.* Possess 5 to 7 years of experience working as a Data Scientist or in a related position with a preference for candidates who have aviation industry experience.* Demonstrates programming proficiency in Python and R and Java while showing expertise in data analysis libraries such as pandas and numpy and scikit-learn.* Demonstrates a solid grasp of machine learning algorithms which includes regression and classification and clustering and neural networks.* Demonstrates proficiency in data visualization tools which include Tableau and Power BI and matplotlib while exhibiting strong problem-solving abilities.**Preferred Qualifications*** Expertise in aviation operations together with specific knowledge about challenges and opportunities present in the aviation industry.* Experience using machine learning to solve actual business operational issues.* Demonstrates exceptional focus on tasks while being able to function both as an independent worker and as part of a team.* Possesses excellent communication abilities together with strong interpersonal skills which enable him to work effectively with different teams.* Demonstrates capacity to create new solutions by maintaining knowledge about current developments in data science and artificial intelligence.## Job Overview* Date Posted April 27, 2026* Location United Arab Emirates, Abu Dhabi* Expiration date May 27, 2026* Gender Both* Qualification Bachelor Degree #J-18808-Ljbffr

Headquartered in Abu Dhabi, specializes in developing defense-grade artificial intelligence solutions to ensure high standards of reliability, reliability where large language models and predictive systems are tested rigorously. The company focuses on industries requiring mission-critical AI, integrating automated validation frameworks that meet strict evaluation criteria while supporting seamless ERP integrations and real-time data integrity. Their work emphasizes Agile development combined with formal Systems Engineering to deliver secure and traceable AI validation methods for high-stakes applications. Job Summary We are seeking a Senior QA Automation Engineer to lead the validation and verification strategies for our AI transformation initiative. In this critical role, you will define and enforce rigorous standards for non-deterministic AI systems, ensuring Large Language Models (LLMs) and predictive engines meet the stringent reliability requirements of the defense sector. Your expertise will bridge Agile development methodologies with formal Systems Engineering practices, creating automated testing frameworks that validate both software functionality and AI behaviors against established Ground Truth datasets. Working within a structured Stage Gate delivery model, you will ensure AI agents successfully pass Test Readiness Reviews (TRR) and Functional Configuration Audits (FCA) before deployment. This role demands a deep understanding of AI evaluation techniques, including hallucination detection, consistency validation, and factual accuracy assessment, while also addressing integration challenges with enterprise systems like SAP S/4HANA and Ariba. Your work will directly contribute to the trustworthiness of AI-driven decision-making in mission-critical applications, setting new benchmarks for how defense organizations validate intelligent systems. As the final line of defense, you will pioneer methodologies for testing Generative AI in safety-critical environments, ensuring AI agents are capable of negotiating contracts or designing system components with the highest levels of reliability and compliance. Key Responsibilities • Lead the validation and verification of AI systems by architecting automated testing frameworks to evaluate non-deterministic outputs, including hallucination detection, consistency checks, and factual accuracy against gold standard datasets for Large Language Models (LLMs) and predictive engines. • Design and implement automated evaluation metrics such as RAGAS, faithfulness, and answer relevance to validate Retrieval-Augmented Generation (RAG) pipelines, ensuring accurate citation of internal technical documentation and regulatory texts. • Develop prompt regression suites to monitor prompt drift and maintain the quality of AI-generated engineering documents, mitigating degradation risks from underlying model or system instruction changes. • Construct robust integration tests to validate data consistency between AI agents and critical enterprise systems (e.g., SAP S/4HANA, Ariba), ensuring no corruption of Bill of Materials (BOM) or financial data in supply chain applications. • Create performance benchmarking tests to validate latency and throughput of forecasting models and risk scoring engines, aligning with real-time requirements for supply chain dashboards. • Automate API validation for secure gateways, verifying Role-Based Access Control (RBAC) and Personally Identifiable Information (PII) redaction logic before data ingestion into AI models. • Ensure alignment of automated test cases with System Requirements and User Needs, generating digital evidence for Verification and Validation (V&V) reports as per Systems Engineering Handbook standards. • Prepare Test Readiness packages for Stage Gate reviews, providing quantitative evidence to demonstrate system stability and readiness for progression from Minimum Viable Product (MVP) to Production deployment. • Manage the defect lifecycle between Requirements Quality Assistants and development teams, tracing defects in AI logic back to specific model versions or datasets for resolution. • Bridge Agile development and formal Systems Engineering processes, ensuring AI agents meet rigorous Test Readiness Reviews (TRR) and Functional Configuration Audits (FCA) for defense-sector deployment. Qualifications And Experience • 5+ years of experience in QA Automation, with at least 2 years focused on testing complex data-driven applications, machine learning models, or AI agents. • Experience in Defense, Aerospace, or highly regulated industries is a strong plus. Understanding of IV&V (Integration, Verification, and Validation) processes is highly desirable. • Expert proficiency in Python for building custom test harnesses (Pytest) and standard automation libraries (Selenium/Playwright for UI, Requests for API). • Expert proficiency in crafting Performance Test Plans and Implementations (e.g., Locust, Jmeter, K6). • Experience utilizing frameworks for evaluating Large Language Models (e.g., DeepEval, TruLens, or custom Python evaluators) and understanding of 'Ground Truth' dataset creation and management. • Proficiency with SQL and data validation tools (e.g., Great Expectations) to verify data quality within Data Lakehouses and Vector Databases. • Strong experience integrating automated tests into GitLab CI/CD pipelines, enforcing 'Quality Gates' that prevent non-compliant code or models from merging. • Familiarity with requirements management tools (e.g., Jira, Linear, Jama, Polarion) and linking automated test results to specific requirement IDs. • Strong hands-on experience managing Test Reports and Artifacts (e.g., TestRail, Allure). • String knowledge of maintaining code-based frameworks (e.g., Git, GitLab). • Strong hands-on knowledge of modern Quality Engineering best practices for fast-paced development environments (e.g., Shift Left Approaches, Test Pyramid, Mono-repo architecture for automation projects). • Ability to define pass/fail criteria for probabilistic systems and communicate 'Confidence Levels' to engineering leadership. • Proven ability to collaborate with Data Scientists to understand model limitations and with Systems Engineers to understand formal acceptance criteria. Required Technical Skills • Expert proficiency in Python for building custom test harnesses using Pytest and standard automation libraries (Selenium/Playwright for UI testing, Requests for API testing). • Expert proficiency in crafting Performance Test Plans and implementations using tools such as Locust, JMeter, and K6. • Experience utilizing frameworks for evaluating Large Language Models (LLMs), including DeepEval, TruLens, or custom Python evaluators, with a strong understanding of Ground Truth dataset creation and management. • Proficiency with SQL and data validation tools (e.g., Great Expectations) to verify data quality within Data Lakehouses and Vector Databases. • Strong experience integrating automated tests into GitLab CI/CD pipelines, enforcing Quality Gates to prevent non-compliant code or models from merging. • Familiarity with requirements management tools (e.g., Jira, Linear, Jama, Polarion) and the ability to link automated test results to specific requirement IDs. • Hands-on experience managing test reports and artifacts using tools such as TestRail and Allure. • String knowledge of maintaining code-based frameworks using Git and GitLab for version control. • Strong hands-on knowledge of modern Quality Engineering best practices for fast-paced development environments, including Shift Left Approaches, Test Pyramid principles, and Mono-repo architecture for automation projects. • Architecting automated frameworks to evaluate non-deterministic AI outputs for hallucination, consistency, and factual accuracy against Gold Standard datasets. • Implementing automated metrics (e.g., RAGAS, faithfulness, answer relevance) to verify Retrieval-Augmented Generation (RAG) pipelines for accurate citation of internal technical documentation and regulatory texts. • Designing regression suites to monitor prompt drift and ensure changes to underlying models or system instructions do not degrade the quality of AI-generated engineering documents. • Building robust integration tests to validate data consistency between AI agents and critical enterprise systems (e.g., SAP S/4HANA, Ariba), ensuring no corruption of Bill of Materials (BOM) or financial data. • Designing performance tests to validate latency and throughput of forecasting models and risk scoring engines for real-time supply chain dashboard requirements. • Automating the testing of secure API gateways to verify Role-Based Access Control (RBAC) and Personally Identifiable Information (PII) redaction logic before data reaches AI models. Company And Project Focus Join a dynamic organization where innovation and quality assurance intersect to drive excellence in software delivery. In this role, you will contribute to a high-impact project focused on automating quality assurance processes, ensuring robust, scalable, and reliable test frameworks. The project emphasizes continuous improvement, collaboration across teams, and the adoption of cutting-edge automation tools to enhance software testing efficiency and accuracy. Your work will directly support the development of high-quality products while fostering a culture of precision and technical excellence. Location and Project Focus • Location: Abu Dhabi, United Arab Emirates • Company: Sister Company of the Client • Project Focus: Integration, Verification, and Validation (IV&V) for the AI platform and Intelligent Supply Chain systems Why This Role Matters This role represents the critical final line of defense in ensuring AI integrity and reliability. As the gatekeeper of AI trustworthiness, you will determine whether an AI agent is authorized to perform high-stakes tasks such as negotiating contracts or designing critical system components. Your work will pioneer groundbreaking methodologies for testing Generative AI within safety-critical environments, establishing industry-leading standards for how defense organizations validate intelligent systems. By setting these benchmarks, you will shape the future of AI validation, ensuring that intelligent systems meet the highest safety and performance criteria in mission-critical applications.