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About the Role

Our client is looking for an experienced Senior AI Full-Stack Engineer to lead the continued development and delivery of its Executive Dashboard ecosystem.

With Phase 1 successfully delivered, you will own the application layer as it evolves through Phase 2 (Deeper Views) and Phase 3 (Scale & Automate) into enterprise production.

This is a senior technical ownership role responsible for the dashboard platform end-to-end—including architecture, development, enterprise integration, AI capabilities, engineering quality, testing, deployment and production rollout.

The platform extends beyond dashboards into a complete executive operating environment comprising portals, workflow applications, reporting modules, drill-down analytics and AI-powered executive insights.

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Key Responsibilities

Architecture & Platform Development

Own the architecture and development of the Executive Dashboard platform, expanding it into a scalable, modular ecosystem.

Key responsibilities include:

* Architect and build enterprise-grade dashboard and portal applications.

* Design scalable workflow modules and reusable front-end architecture.

* Develop shared component libraries, state management and module frameworks enabling rapid feature development.

* Ensure the platform remains performant, maintainable and extensible as additional business modules are introduced.

Deliver Phase 2 Modules

Build and enhance modules including:

* My Portal (notifications, approvals and calendar)

* Executive Dashboard+ (Procurement KPIs)

* Resources Utilisation+ (Leave integration)

* Budget Endorsement

* Agreements & MOUs+

* Wellbeing

* Financial Management Reporting

Deliver Phase 3 Capabilities

Develop advanced platform capabilities including:

* Interactive drill-down reporting across existing modules

* Full My Portal activation with intelligent risk alerts

* Technology Portfolio dashboards covering:

* Research Centres

* Intellectual Property

* Publications

* Technology Readiness Levels (TRL)

* Research-to-Market (R2M)

* Research Centre pages

* Front-end experience for the Future Insights AI reporting platform

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Enterprise Integration & AI

* Integrate the dashboard platform with enterprise systems including SAP, HR, Finance, PMO and planning platforms.

* Build secure API integrations using REST and/or GraphQL.

* Own front-end integration contracts including:

* Authentication & Authorization

* Data contracts

* Error handling

* Loading states

* Resilient handling of slow or partial enterprise data

* Work closely with Data, Integration and AI teams to embed AI capabilities directly into the dashboard experience.

* Deliver AI-powered functionality including:

* Intelligent reporting

* Future Insights

* Retrieval-Augmented Generation (RAG)

* AI-generated summaries

* Natural language exploration of executive data

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Technical Leadership & Engineering Excellence

Provide technical leadership across the dashboard workstream by:

* Defining engineering standards and front-end architecture.

* Establishing performance budgets for large datasets and interactive drill-down experiences.

* Ensuring responsive design and WCAG accessibility compliance.

* Maintaining consistency with the enterprise design system alongside UI/UX designers.

* Leading architecture discussions and code reviews.

* Mentoring junior engineers and supporting technical growth.

* Establishing testing strategy including:

* Unit testing

* Integration testing

* End-to-end testing

* Defining engineering quality standards and Definition of Done.

* Driving continuous improvement through platform adoption metrics, KPI optimisation and data-quality feedback.

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Agile Delivery

* Deliver production-ready software within two-week sprint cycles.

* Maintain a clean, stable and demo-ready build every sprint.

* Produce enterprise-grade technical documentation.

* Support user training and knowledge transfer.

* Lead UAT, production rollout, defect triage and post-release stabilisation through to successful handover.

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Required Experience

* 8+ years of Full-Stack Software Engineering experience.

* Strong expertise in:

* TypeScript

* React (preferred) or Vue.js

* Node.js / NestJS

* Modern component architecture and state management

* Experience building enterprise-scale dashboards, portals or analytics platforms.

* Proven delivery of applications featuring:

* Large datasets

* Interactive drill-down analytics

* Sub-second performance

* Role-based access control

* Strong experience integrating enterprise systems using REST and/or GraphQL APIs.

* Experience working with Microsoft Azure.

* Experience integrating AI capabilities into enterprise applications, including LLMs, Retrieval-Augmented Generation (RAG), AI-assisted reporting or conversational interfaces.

* Demonstrated ownership of front-end architecture, engineering standards and technical quality.

* Experience leading code reviews and mentoring engineers.

* Comfortable owning an engineering workstream end-to-end within stakeholder-heavy, deadline-driven Agile environments.

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Preferred Experience

* SAP integration.

* Microsoft 365, HR or Finance platform integrations.

* Azure AI Services or Azure OpenAI.

* LangChain, Semantic Kernel, MCP, vector databases or modern AI orchestration frameworks.

* Enterprise design systems.

* WCAG accessibility implementation.

* AI-powered dashboards, reporting platforms or executive decision-support systems.

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What Success Looks Like

You will be the technical owner of the Executive Dashboard platform, responsible for delivering a scalable enterprise application that combines executive dashboards, workflow automation, enterprise integrations and AI-powered insights. Working closely with Product, Data, Integration and AI teams, you will take the platform from Phase 2 (Deeper Views) through Phase 3 (Scale & Automate) into production, establishing the technical foundations for a next-generation AI-enabled executive decision platform.

An Exhilarating OpportunityAre You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry. Join the FIVE Tribe - and Get Ready to Make Waves. The CandidateA Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter. Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as Junior AI Engineer / Data Scientist Role will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights! What We’re Looking For Experience 0–3 years of experience in Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or related fields Hands-on experience through internships, research projects, freelance work, or personal projects involving AI, analytics, or software development Exposure to real-world business applications of AI, machine learning, analytics, or automation is preferred Technical Skills Strong proficiency in Python and SQL (mandatory) Solid understanding of data analysis, statistics, and machine learning fundamentals Familiarity with machine learning frameworks and libraries (such as Scikit-learn, Pandas, NumPy) Experience working with APIs, structured and unstructured data sources Understanding of LLMs, AI agents, prompt engineering, and API-based AI workflows Basic familiarity with cloud platforms (AWS preferred), including storage and compute services Understanding of data ingestion, ETL processes, and pipeline design Knowledge of data visualization and reporting tools is an advantage Core Competencies Strong analytical and problem-solving mindset Ability to translate ambiguous business requirements into practical solutions High attention to detail and commitment to data accuracy Pragmatic approach to building scalable and maintainable solutions Strong communication skills with both technical and non-technical stakeholders Curiosity, adaptability, and eagerness to learn emerging AI technologies What Makes This Role Unique Opportunity to work on real-world AI solutions used by operations, marketing, reservations, revenue teams, and guests Exposure to cutting-edge AI technologies, LLMs, conversational AI, and advanced analytics High ownership and visibility from the beginning of your career Strong mentorship and accelerated learning environment Direct impact on business performance, guest experience, and operational efficiency Performance KPIs Successful delivery of AI and data projects Accuracy and reliability of data pipelines and models Improvement in automation and operational efficiency Quality and performance of AI assistants and applications Adoption and business impact of deployed solutions Key Responsibilities AI & Data Applications Build and maintain Python applications leveraging machine learning models, LLM APIs, structured data, and cloud services Develop AI-powered tools and assistants that improve operational efficiency and guest experiences Support the design and deployment of conversational AI solutions across web and messaging platforms Collaborate with business teams to identify opportunities for AI-driven automation Data Engineering & Pipelines Build, maintain, and optimize data pipelines for machine learning, analytics, and reporting Collect, clean, transform, and structure data from multiple internal and external sources Ensure data quality, consistency, and reliability across systems Support integration of APIs, cloud storage, and business platforms Machine Learning & Model Evaluation Develop and test machine learning models for forecasting, personalization, and business optimization Evaluate model performance using appropriate metrics, validation frameworks, and monitoring processes Assist in feature engineering, model tuning, and performance analysis Monitor deployed models and identify opportunities for continuous improvement Business Problem Solving Work closely with stakeholders across reservations, marketing, revenue, and operations teams Translate business requirements into practical AI and data solutions Analyse complex datasets to uncover actionable insights and recommendations Support decision-making through data-driven analysis and reporting Documentation & Continuous Improvement Write clean, maintainable, and reusable code following best practices Document technical processes, models, and system architectures Stay updated with emerging AI technologies, tools, and industry trends Contribute to the continuous improvement of data and AI capabilities across the organization The Team‘FIVERs’ are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime – then Look No Further and Unleash your Next-Level Potential. Sustainable Indulgence at FIVEFIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled ‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making ‘Sustainability without Compromise on Luxury Living’ central to its Future Vision, with FIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community. An Equal Opportunity EmployerThe FIVE Tribe represents over 70 nationalities across its over 1500 ‘FIVERs.’ FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organizations, the FIVE Tribe is more than a group of people working together – it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity. About FIVE Hotels and ResortsFIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage. Find out more here: fivehotelsandresorts.com About FIVE HoldingsFIVE Holdings is a vertically integrated Group, and its current Portfolio includes 3 luxury hotels in the UAE, FIVE Palm Jumeirah, FIVE Jumeirah Village and FIVE LUXE, a hotel in Switzerland, FIVE Zurich, 2 hotels in Spain, Destino Pacha and El Hotel Pacha, a nightclub in Spain, Pacha Ibiza, 2 eponymous Fashion Lines, FIVE Mode and The Pacha Collection in the UAE and Spain; as well as a range of assets that include Toy Room, and WooMoon Storytellers (Globally).FIVE’s focus is on a ‘Global Sustainable Entertainment Ecosystem,’ which is the integration of immersive entertainment with homegrown F&B concepts that results in a distinctive guest experience for an international and affluent audience of luxury-loving, eco-conscious Millennial and Gen-Z customers. The success of FIVE’s ‘Global Sustainable Entertainment Ecosystem’ is evident in its RevPAR being 1.4X, its F&B PAR being 3X and its TRevPAR being 2.1X greater than their respective competitor sets in Dubai for 2023.Find out more here: fiveglobalholdings.com

Company DescriptionInsilico Medicine is a clinical-stage biotechnology company harnessing the power of generative AI to revolutionize drug discovery and development. Leveraging innovative AI platforms built on deep generative models, reinforcement learning, and other advanced machine learning techniques, the company specializes in discovering novel drug targets and designing molecular structures with desired properties. Insilico Medicine focuses on creating groundbreaking solutions for a range of diseases, including cancer, fibrosis, autoimmune diseases, and aging-related conditions. Their mission is to accelerate the development of innovative therapies, bridging the gap between biology, chemistry, and clinical trials.Role DescriptionWe are seeking a full-time Machine Learning Engineer to join our team on-site at our Abu Dhabi office. The successful candidate will design, develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will be writing production-level Python code, run ML-related experiments, integrate new functionalities, work with foundation models. The candidate will also provide technical support to the DevOps team in running the ML infrastructure and perform intrateam MLOps. Place of workLevel 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates Reports toTeam Lead in CheminformaticsResponsibilitiesDevelop and maintain the internal machine learning (ML) pipeline at the production level to support cutting-edge drug discovery initiatives.Optimize, refactor, and debug existing code in Python to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness.Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. General Requirements:  I.             EducationBachelor’s degree/Master’s degree/PhD degree in a Machine Learning related field.II.          Experience and SkillsStrong background in machine learning (ML) with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8, Google style guide, or similar best practices. Experience with NoSQL databases, such as MongoDB. Experience working with Linux or other Unix-based operating systems.Proficiency in version control systems like Git. Hands-on experience with Python numerical and machine learning libraries such as Numpy, Pandas, PyTorch, and Scikit-learn.Solid understanding of object-oriented programming (OOP), design patterns, and software architecture best practices. A proactive attitude, strong problem-solving skills, and a commitment to continuous learning.III.       Preferred Skills Experience with deep learning (DL) frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization.  Hands-on experience with a range of ML/DL methods such as Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage

🚨🌟HIRING FOR A TOP TIER CONSULTING FIRM - UAE🌟🚨 A prestigious Top Tier Global Management Consulting Firm is hiring for 2 exciting roles:1️⃣ Data Scientist 2️⃣ AI Software Engineer & Senior AI Software EngineerThis is your chance to work at the intersection of consulting, AI, data science, software engineering, and real-world business impact.🔍 What we’re looking for:📊 Data Scientist role:✅ Data Science Expertise: Strong experience applying data science, statistics, machine learning, advanced analytics, and AI techniques to solve real-world business problems.✅ Machine Learning & Analytics: Deep understanding of modern machine learning techniques, mathematical foundations, advanced analytics, and the ability to translate complex data into clear business insights.✅ Technical Skills: Strong hands-on experience with Python, data science tools, statistical modelling, machine learning models, data visualization, and modern development tools.👨 💻 AI Software Engineer / Senior AI Software Engineer roles:✅ Software Engineering Expertise: Strong experience in software development, building scalable AI solutions, large-scale data analytics, and developing robust, maintainable software.✅ AI Solution Development: Experience designing, building, implementing, and deploying AI / ML-powered solutions across the full software development lifecycle.✅ Technical Skills: Strong hands-on experience with Python, cloud platforms such as AWS, Azure or Google Cloud, data structures, scalable systems, APIs, agile delivery, and modern engineering practices.✅ Engineering Best Practices: Ability to apply software development standards, optimize computational efficiency, improve software design, and collaborate with global / remote agile squads.🎓 Common Requirements Across Both Role Families:✅ Education: Master’s Degree or PhD in Computer Science, Machine Learning, Applied Mathematics, Statistics, Data Science, Software Engineering, or related disciplines.✅ Consulting / Top-Tier Experience: Current or previous experience with Tier1/2 or Big 4 Consulting firms📩 Interested? Let’s talk.📧 Email CV to: rithvik.p@tandemsearch.com📝 Subject: AI Engineer / Data Scientist – [Your Current Firm & Level] – [Current City]💬 Or just DM me right now. I respond personally.🔗 Know someone who fits? Tag them below or share!#2026Hiring #MBBHiring #MBB #Bain #BCG #McKinsey #Kearney #StrategyAnd #RolandBerger #OliverWyman #2026Jobs #DataScientist #SeniorDataScientist #AISoftwareEngineer #SeniorAISoftwareEngineer #ArtificialIntelligence #MachineLearning #AdvancedAnalytics #DataScience #Python #CloudComputing #TechnologyConsulting #ManagementConsulting #ConsultingCareers #TopTierConsulting #CareerGrowth #MiddleEastJobs #DubaiJobs #RiyadhJobs #AbuDhabiJobs #JobsInConsulting #AIJobs #MLJobs #AnalyticsJobs #Hiring #TechJobs #ConsultingJobs

AI Implementation Specialist Department: Technology / Operations Reports To: IT HEAD/ COO/CEO Employment Type: Full-Time ________________________________________ About the Role We are looking for a curious, tech-savvy, and proactive AI Implementation Specialist to help drive the company's AI and automation initiatives. This is a hands-on, execution-focused role where you will work closely with different teams to identify manual, repetitive workflows and transform them using AI-powered tools and automation. No team of your own to manage — just real impact through real projects. This is a great opportunity for someone early in their career who is passionate about AI and wants to be at the forefront of how businesses use it day-to-day. ________________________________________ Key Responsibilities AI Project Support & Execution • Assist in the planning, coordination, and execution of AI projects from kick-off to deployment. • Research and evaluate AI tools, platforms, and solutions that fit specific business needs. • Work with vendors and internal stakeholders to integrate AI tools into existing systems and workflows. • Document project progress, timelines, and outcomes to keep stakeholders informed. Workflow Automation • Conduct walkthroughs with department teams (Finance, Purchasing, Operations, Sales, Logistics, etc.) to understand and map out manual processes. • Identify tasks suitable for automation and propose practical AI-driven solutions. • Build and deploy automations using no-code/low-code tools such as Make (Integromat), Zapier, Microsoft Power Automate, or similar platforms. • Monitor and maintain deployed automations, troubleshooting issues and making improvements over time. AI Tools Adoption • Help onboard employees onto new AI tools through simple guides, walkthroughs, and hands-on support. • Act as an internal resource and first point of contact for questions related to AI tools in use. • Stay up to date on new AI tools and use cases, and share relevant findings with the team. Reporting & Documentation • Track key metrics such as time saved, error reduction, and adoption rates for implemented solutions. • Maintain clear documentation of all automations, integrations, and AI workflows. • Prepare simple reports and updates for management on project status and results. ________________________________________ Requirements Must-Have • 1–3 years of experience in a tech, operations, or process improvement role. • Hands-on experience with at least one automation or no-code tool (e.g., Zapier, Make, Power Automate, Notion AI, etc.). • Comfortable using and exploring AI tools (e.g., ChatGPT, Claude, Gemini, or similar). • Strong attention to detail and ability to document processes clearly. • Good communication skills — able to explain tech concepts simply to non-technical colleagues. • Self-starter attitude with a willingness to learn and figure things out. Nice-to-Have • Exposure to basic scripting or programming (Python, JavaScript) — not required but a plus. • Familiarity with project management tools (Asana, Jira, Notion, Trello). • Experience working across multiple departments or in a cross-functional environment. • Understanding of prompt engineering or working with LLM-based tools. ________________________________________ Success Metrics • Number of manual workflows successfully automated within the first 6–12 months. • Time savings and efficiency gains reported by teams using automated processes. • Employee adoption and satisfaction with AI tools introduced. • Quality and completeness of process documentation maintained. ________________________________________