Machine operator Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Description:</strong></p><br><p>The NSSTC is looking to hire a software engineer to support the development of NSSTC Space mission projects and R&amp;D activities: The Software engineer must understand real time embedded systems and experience in specifying, developing and testing real time embedded software – for time critical real time applications, such as those applied to spacecraft, landers, rovers, UAVs and Robotics. The position requires good coding skills such as C&amp;C++ as well as modeling using High level modeling language (HML). An understanding of assembler (machine code programing) programing would be an advantage as it is required to allow the development of application programming interface (API) software. The tasks also require the development of software wrappers and test benches as well as the generation of test vectors and code test and validation coverage analysis. The role requires the ability to work as part of a multi-disciplinary team that will be engaged in the design and development of CubeSats and Small Spacecrafts. As an engineer you will be asked to perform a variety of tasks related to the development of projects within the NSSTC including (but not limited to) generating the embedded real time system and sub-system software requirements, collecting requirements from the various systems and sub-systems that define the function of the real time embedded system software, identify and perform trade studies between various real time operating systems suitable for space applications, support the team during the various stages of project developments including integration and environmental testing. An understanding of micro-processor and DSP based embedded computers hardware and how the embedded software interacts with it. Model, estimate and measure the performance of the embedded software and estimate task completion time as well as required resources in terms of memory and processing performance to meet the required objectives. Provide support during mission operations, including initial in-orbit functional validation and functional performance. Ability to analyze problems and faults remotely when the Spacecraft is in orbit. Be able to support the generation of new software images and patches to be uploaded to the spacecraft when necessary. The ability to work with students at UAE University as a mentor is required. Travel may be required – both domestic and international. The position is located at the NSSTC facility in Al Ain. Compensation based on experience level. • Your responsibilities will include: • Interfacing with a multi-disciplinary team including professionals, faculty, graduate and undergraduate students • Documenting interfaces and requirements • Designing discipline-specific software components for space flight applications • Modeling and analyzing designs of flight software and its integration with its hosting hardware. • Performing other engineering tasks Technical responsibilities include: • Real time operating systems –for Embedded software – RTMES, …etc • Micro-controller critical task schedulers • Software architecture, and standards for reliable Space applications software. • Software development management – requirements generation, version control, task distribution, validation and verification. • Software budgetary requirements, memory size, performance requirements (in conjunction with target hardware). • Software critical path and critical timing analysis (in conjunction with Target hardware) Using high level modelling languages to define, specify and generate software code as well as using it for Flight software validation. • Software languages: Assembler, C &amp; C++, JAVA, Python…etc • Software Debugging and compliers • Debugging of Software on Target Hardware • Hardware specific Application Programming Interfaces (API) </p><br><p><strong>Minimum Qualifications:</strong></p><br><p>• BS or higher degree in Electronic and/or Electrical engineering, Computer Engineering / Science, Information technology, Physics, Mathematics. </p><br><p><strong>Preferred Qualifications:</strong></p><br><p>• Understanding of Embedded real time systems hardware and software. • Programing skills, relating to embedded real time systems (C&amp;C++ is preferable, but other programing skills may also be considered) • High Level Modeling Languages, such as HML, MATLAB, …etc • Experience with Microsoft Products (Word, Excel) • Experience creating discipline-specific documents for fabrication and assembly </p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Senior Frontend Designer&nbsp;</strong> <strong>Role Overview</strong> <p>We are seeking a highly skilled <strong>Senior Frontend Designer&nbsp;</strong>to design, build, and maintain modern, responsive, and accessible web applications for enterprise and customer-facing digital platforms.</p><br><br> <p>This role combines deep frontend expertise with the ability to contribute to backend services and integrations. You will work closely with UX designers, product owners, backend engineers, and AI/ML teams to deliver intuitive, high-performance user experiences while ensuring scalability, maintainability, and adherence to engineering best practices.</p><br><br> <p>The ideal candidate will have strong experience building production-grade React applications, developing reusable component libraries, integrating APIs, and contributing to Node.js and Python-based backend services.</p><br><br> <strong>Key Responsibilities</strong> <ul> <li>Design, develop, and maintain reusable <strong>React.js component libraries</strong> </li><li>Translate Figma, Adobe XD, and design specifications into responsive, pixel-perfect user interfaces </li><li>Build responsive layouts using modern CSS techniques including <strong>Flexbox, CSS Grid, and mobile-first principles</strong> </li><li>Develop interactive dashboards featuring charts, tables, and real-time data visualizations </li><li>Manage application state using <strong>Redux Toolkit, Zustand, or Context API</strong> </li><li>Integrate and consume RESTful APIs while managing loading, error, and empty states effectively </li><li>Optimize frontend performance through lazy loading, memoization, code splitting, and bundle optimization </li><li>Ensure compliance with <strong>WCAG 2.1 accessibility standards</strong> and cross-browser compatibility requirements </li><li>Develop and execute unit tests using <strong>Jest and React Testing Library</strong> </li><li>Build and maintain backend services and REST APIs using <strong>Node.js (Express/NestJS)</strong> </li><li>Develop Python-based services and APIs using <strong>FastAPI or Flask</strong> </li><li>Collaborate with AI and machine learning teams to integrate model outputs into user-facing applications </li><li>Participate in design reviews and contribute to UI/UX improvements </li><li>Maintain high-quality, well-documented code through Git workflows, code reviews, and pull request processes </li><li>Contribute to Agile delivery processes and sprint planning activities </li></ul> <strong>Required Skills &amp; Qualifications</strong> <strong>Frontend Development</strong> <ul> <li>6+ years of hands-on experience developing production applications using <strong>React.js</strong> </li><li>Strong proficiency in <strong>JavaScript (ES6+) and TypeScript</strong> </li><li>Experience with modern UI frameworks and libraries including <strong>Tailwind CSS, Material UI, or shadcn/ui</strong> </li><li>Strong understanding of responsive design principles and frontend architecture </li><li>Expertise in HTML5, CSS3, semantic markup, and accessibility standards </li><li>Experience integrating REST APIs and implementing asynchronous programming patterns </li><li>Strong experience with state management solutions including Redux Toolkit, Zustand, or Context API </li></ul> <strong>Backend Development</strong> <ul> <li>Experience developing REST APIs using <strong>Node.js, Express, or NestJS</strong> </li><li>Hands-on experience with <strong>Python (FastAPI or Flask)</strong> </li><li>Knowledge of relational and NoSQL databases, including <strong>PostgreSQL and MongoDB</strong> </li><li>Understanding of authentication and authorization frameworks including <strong>JWT and OAuth 2.0</strong> </li></ul> <strong>General Engineering Skills</strong> <ul> <li>Experience using Git, pull request workflows, and code review processes </li><li>Strong understanding of Agile and Scrum methodologies </li><li>Excellent problem-solving, debugging, and analytical skills </li><li>Strong communication and stakeholder collaboration abilities </li></ul> <strong>Preferred Skills &amp; Experience</strong> <ul> <li>Experience with <strong>Next.js</strong> (SSR, SSG, ISR) </li><li>Strong data visualization experience using <strong>Chart.js, Recharts, or D3.js</strong> </li><li>Exposure to <strong>React Native</strong> or cross-platform mobile development </li><li>Experience integrating AI services, LLM APIs, or Azure OpenAI/OpenAI solutions </li><li>Familiarity with <strong>LangChain, LangGraph, or RAG-based architectures</strong> </li><li>Knowledge of banking, fintech, or regulated industry environments </li><li>Experience working with <strong>Azure and/or AWS cloud platforms</strong> </li><li>Exposure to <strong>microfrontend architectures</strong> and Module Federation </li><li>Experience implementing <strong>WebSocket and real-time applications</strong> </li><li>Knowledge of Docker, containerization, and CI/CD pipelines </li></ul> <strong>Halian Group</strong> <p>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 realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.</p><br><br> <p>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.</p><br><br> <p>We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.</p><br><br> <p><strong>#LI-CC1</strong></p><br><br> <br> <br> <br> &nbsp; <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.<br></p><br><p>We are seeking a <strong>Senior AI Solution Architect</strong> who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized, intelligent digital experiences.<br></p><br><span><strong><span>Key Responsibilities</span></strong></span><strong><span>1. Solution Architecture Ownership &amp; Leadership</span></strong><ul><li><p><strong><span>The Authoritative Blueprint:</span></strong><span> Produce and maintain the end-to-end architecture blueprints, system context diagrams, component designs, data flow models, and API specifications for four delivery pods.</span></p><br></li><li><p><strong><span>Architectural Decisions (ADRs):</span></strong><span> Make, document, and defend binding architectural choices, evaluating constraints and long-term impacts.</span></p><br></li><li><p><strong><span>Pod Governance:</span></strong><span> Run architecture reviews with pod tech leads to ensure cross-cutting cohesion and resolve conflicts early.</span></p><br></li><li><p><strong><span>Executive Stakeholder Management:</span></strong><span> Present, defend, and earn confidence in the technical design under scrutiny from the client's CTO, CISO, and Enterprise Architecture Board.</span></p><br></li></ul><strong><span>2. AI &amp; Agentic System Design</span></strong><ul><li><p><strong><span>Orchestration &amp; Routing:</span></strong><span> Design LLM routing strategies, multi-agent coordination patterns, intent classification pipelines, and session/memory management.</span></p><br></li><li><p><strong><span>The Tool Gateway:</span></strong><span> Specify the deterministic policy engine implementing the Trust Dial (</span><em><span>Suggest / Approve / Act</span></em><span>) governance framework.</span></p><br></li><li><p><strong><span>Context &amp; RAG:</span></strong><span> Design vector database schemas, embedding pipelines, retrieval strategies, and real-time context data contracts.</span></p><br></li><li><p><strong><span>Inference Optimization:</span></strong><span> Oversee model selection (Anthropic Claude Haiku/Sonnet), token budget management, latency SLAs, and circuit-breaker/fallback design.</span></p><br></li><li><p><strong><span>Evaluation Infrastructure:</span></strong><span> Establish automated production AI evaluation, continuous verification, and tracing pipelines.</span></p><br></li></ul><strong><span>3. Banking Systems &amp; Modernization Integration</span></strong><ul><li><p><strong><span>Legacy Decoupling:</span></strong><span> Define an API facade strategy to progressively wrap, version, and migrate the bank's 70% legacy services using strangler fig patterns.</span></p><br></li><li><p><strong><span>Financial Controls:</span></strong><span> Enforce integration standards covering authentication, authorization, rate limiting, and critical financial idempotency patterns.</span></p><br></li><li><p><strong><span>Real-Time Streaming:</span></strong><span> Specify the Kafka/MSK event infrastructure to stream real-time banking triggers (e.g., salary credits, fraud flags) directly to the AI orchestrator.</span></p><br></li></ul><strong><span>4. Security, Compliance &amp; Governance</span></strong><ul><li><p><strong><span>Threat Modeling:</span></strong><span> Map and mitigate prompt injections, data exfiltration, model manipulation, and API abuse vectors.</span></p><br></li><li><p><strong><span>Model Risk Management (MRM):</span></strong><span> Build the technical framework for audit logging, model explainability mechanisms, and human-in-the-loop compliance checkpoints.</span></p><br></li><li><p><strong><span>DevSecOps &amp; Cost:</span></strong><span> Architect container security gates, SAST/DAST integration, secrets management, and efficient LLM auto-scaling/cost attribution profiles.</span></p><br></li></ul><strong><span>Required Experience &amp; Qualifications</span></strong><strong><span>Essential Criteria</span></strong><ul><li><p><strong><span>Enterprise Architecture:</span></strong><span> 8+ years of hands-on architecture experience delivering large-scale, complex technology programs. Strong pattern knowledge across microservices, event-driven architectures, saga orchestration, and CQRS.</span></p><br></li><li><p><strong><span>Banking Domain Fluency:</span></strong><span> 5+ years of banking or fintech architecture experience. Deep knowledge of retail platforms, payment rails (SWIFT, local ACH/RTGS), card management, fraud/AML engines, and core legacy system integration.</span></p><br></li><li><p><strong><span>Production AI Architecture:</span></strong><span> 3+ years designing and operating real-world LLM or AI/ML systems at scale (not proof-of-concepts). Expert-level knowledge of RAG pipelines, agent state tracking, and tool calling schemas.</span></p><br></li><li><p><strong><span>Cloud &amp; Security:</span></strong><span> High proficiency in AWS, Azure, or GCP cloud architecture, Kubernetes orchestration, zero-trust patterns (mTLS, OAuth 2.0/OIDC), and IaC (Terraform/CDK).</span></p><br></li></ul><strong><span>Desirable Criteria</span></strong><ul><li><p><span>Academic background in Computer Science or Software Engineering.</span></p><br></li><li><p><span>Relevant professional certifications (e.g., AWS Solutions Architect Pro, Azure Solutions Architect Expert, TOGAF).</span></p><br></li><li><p><span>Architectural experience with regional frameworks (CBUAE, DFSA, ADGM) and mobile runtime systems like Flutter.</span></p><br></li></ul><p><strong>Location:</strong> Remote<br></p><br><p>Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.<br><span>We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and<strong>&nbsp;Globant’s Benefits. </strong></span></p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Group Marketing Manager (AI &amp; Digital Performance) will architect, lead, and execute comprehensive data-driven marketing strategies across the group's diverse B2C entertainment assets and B2B commercial landscaping divisions. This role demands a modern marketing technologist who combines strategic vision with advanced, hands-on mastery of Artificial Intelligence tools. The successful candidate will lead the automated scale-up of high-performing campaigns, optimize Google Ads budgets programmatically, and deploy predictive AI models to accelerate customer acquisition, boost footfall, and maximize cross-entity conversion performance.</p><br><p><strong>Key Responsibilities</strong></p><p><strong>1. Strategic Leadership &amp; Portfolio Alignment</strong></p><ul><li><p>Develop and implement an integrated marketing blueprint that effectively positions and scales both B2C leisure destinations (Dubai Miracle Garden, Dubai Butterfly Garden, Cityland Mall) and B2B commercial entities (AKAR &amp; Miracle Garden Landscaping Services).</p></li><li><p>Lead, mentor, and build the capacity of the internal marketing and creative teams, fostering an agile culture focused on digital innovation, ROI, and brand equity.</p></li><li><p>Manage corporate marketing budgets across all entities, ensuring data-supported resource allocation to maximize profitability during peak seasons.</p></li></ul><p><strong>2. Next-Gen AI Integration &amp; Performance Automation</strong></p><ul><li><p>Deploy and manage advanced AI-driven marketing technology stacks to automate routine workflows, optimize audience segmentation, and deliver hyper-personalized ad experiences.</p></li><li><p>Utilize generative AI and prompt engineering infrastructure to scale multilingual content generation, automated creative iteration, and rapid copy testing for international tourist segments and local B2B stakeholders.</p></li><li><p>Implement AI agents and automated workflows for real-time brand monitoring, social listening, and competitive intelligence gathering across the lifestyle, retail, and agriculture sectors.</p></li></ul><p><strong>3. Advanced Google Ads &amp; Programmatic Media Buying</strong></p><ul><li><p>Own the end-to-end architecture, targeting, and management of the group’s search, display, video, and Performance Max (PMax) campaigns on Google Ads.</p></li><li><p>Build and maintain sophisticated automation scripts, rule-based bidding algorithms, and AI-led conversion predictive models within Google Ads to consistently drive down cost-per-acquisition (CPA) and lift return on ad spend (ROAS).</p></li><li><p>Conduct strict, continuous multivariant A/B testing on ad copies, extensions, landing pages, and smart bidding strategies using automated optimization engines.</p></li></ul><p><strong>4. Deep Analytics, Forecasting &amp; Data Infrastructure</strong></p><ul><li><p>Oversee the group's unified tracking infrastructure (Google Analytics 4, Tag Manager, CRM data integrations) to ensure attribution accuracy across digital touchpoints and brick-and-mortar footfall.</p></li><li><p>Leverage machine learning tools and predictive data analytics to forecast seasonal attendance trends, mall footfall patterns, and B2B contract lead velocities.</p></li><li><p>Deliver transparent, high-level marketing attribution dashboards and predictive performance metrics directly to executive management.</p></li></ul><br><p><strong>Key Performance Indicators (KPIs)</strong></p><ul><li><p><strong>Omnichannel ROAS Lift:</strong> Measurable year-on-year improvement in programmatic and Google Ads return on ad spend.</p></li><li><p><strong>CPA Reduction:</strong> Systematic reduction in visitor/lead acquisition costs through real-time AI bidding optimization.</p></li><li><p><strong>Footfall &amp; Lead Capture Target:</strong> Achievement of cross-entity footfall targets for tourist destinations and qualified commercial RFIs for landscaping divisions.</p></li><li><p><strong>Team AI Adoption Rate:</strong> Successful rollout and operational integration of AI tools across the daily workflows of the marketing department.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p><strong>Education:</strong> Bachelor’s degree in Marketing, Communications, Business Administration, or a related field. A Master’s degree or professional marketing certification (e.g., CIM) is highly preferred.</p></li><li><p><strong>Experience:</strong> Minimum of 8–12 years of progressive marketing experience, with at least 5 years in a leadership role overseeing multiple brands or business units.</p></li><li><p><strong>Industry Knowledge:</strong> Proven experience within the UAE market is essential. Background in retail, mall management, real estate, or leisure/entertainment sectors is a significant advantage.</p></li><li><p><strong>AI Technical Competency: </strong>Practical experience leveraging modern AI marketing software, workflow automations, and custom script builders.</p><br><p><strong>Skills:</strong> * Strong expertise in digital marketing, media planning, and campaign ROI analysis.</p><ul><li><p>Exceptional written and verbal communication skills in English (Arabic is a strong advantage).</p></li><li><p>High commercial acumen with the ability to manage complex budgets.</p></li><li><p>Excellent leadership, stakeholder management, and presentation skills.</p></li></ul></li></ol><p></p></section>

<p> <strong>The Role</strong> </p> <p>The Specialist Digitalization Engineer is responsible for leading all digitalization related activities within a PMC organization for offshore oil &amp; gas or renewable energy projects. </p> <p> <strong>Our Clients and Projects </strong> </p> <p> <strong>Designing the future. Transforming the world</strong> </p> <p>Wood's Oil, Gas &amp; New Energies business is built on a strong legacy of delivering large and complex projects for national and international energy companies across the globe. We have experienced teams, a proven delivery model and a strong reputation.</p> <p>We are the market-leading provider of integrated and innovative solutions that challenge the status-quo in the oil and gas upstream and midstream, onshore and offshore, gas to liquids and decarbonization and electrification markets. We pride ourselves in steady and predictable delivery, setting our sights on an exciting growth trajectory. </p> <p>Energy security, transition and supply have never been more important. You, our enabling teams, are at the very forefront of transformative projects that are providing sustainable power to generations to come. We are the ones to bring low-carbon concepts to reality.</p> <p> <strong>What we can offer</strong> </p> <ul> <li> <strong>Meaningful and interesting projects:</strong> Delivered to high profile clients across the Energy Sector</li> <li> <strong>Commitment to Diversity and Inclusion</strong>: We are an organization actively committed to diversity and inclusion across our business </li> <li> <strong>Competitive renumeration package: </strong>With regular reviews to ensure we are rewarding at the right level in line with the market </li> <li> <strong>Medical Insurance</strong>: Ensures inpatient, and outpatient medical care is available should you require treatment</li> <li> <strong>Group Life and Personal Accident Insurance</strong>: The company provides Life Assurance cover </li> <li> <strong>End of Service Gratuity:</strong> In line with UAE Labor Law, all employees are eligible for an End of Service benefit</li> <li> <strong>The Employee Share Plan: </strong>Gives you the opportunity to purchase Wood shares and receive a match from the company</li> <li> <strong>Long Service Award</strong>: Wood values the commitment and loyalty of our people. Celebrating Long Service provides an opportunity for the business to demonstrate their appreciation of the hard work, dedication and many years services of our employees at 5-year service milestones</li> <li> <strong>Commitment to continued professional development:</strong> Development plans that are tailored to your individual needs and interests </li> <li> <strong>Global connections:</strong> Join experts around the world who are at the leading edge of our industry, shaping the standards of our profession </li> <li> <strong>Energy Transition Academy: </strong>Join a community of experts sharing your knowledge and gaining more exposure to a variety of existing and emerging energy systems delivered by experts in their field</li> </ul> <p> <strong>Job Objective</strong> </p> <p>The PMC Specialist Digitalization Engineer is responsible for leading the digital engineering strategy, implementation, and integration for offshore oil &amp; gas projects during FEED, EPC, commissioning, and handover phases. The role ensures the effective use of digital technologies, engineering information management systems, digital twins, BIM/3D models, data analytics, and smart asset solutions to improve project execution, operational efficiency, and lifecycle asset management.</p> <div> Wood is a global leader in consulting, engineering and operations for the energy and materials sectors. With 33,000 people in around 50 countries, Wood supports clients across the full asset lifecycle, delivering safe, predictable outcomes while enabling resilient operations and a lower carbon future. Wood forms the Energy &amp; Materials pillar of Sidara - a global partnership uniting leading multidisciplinary engineering, design, and project management companies. www.woodgroup.com <br></div> <div> <br> </div> <div> <b>Diversity Statement </b> </div> <div> We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.<br></div> <div> <p> <strong>What makes you remarkable</strong> </p> <p>At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world s most critical challenges. </p> <p> <strong>Expected:</strong> </p> <ul> <li>Minimum 15+ years in Oil &amp; Gas engineering atleast 8+ years in offshore projects.</li> <li>Minimum years leading digital engineering teams.</li> <li>PMC experience preferred.</li> <li>Experience in FEED and EPC projects.</li> <li>ADNOC or similar operator experience is advantageous.</li> </ul> </div> <ul> <li>Develop and implement the project's digitalization strategy.</li> <li>Lead digital engineering activities across multidisciplinary engineering teams.</li> <li>Ensure alignment with client digital transformation objectives.</li> <li>Establish digital workflows, standards, and governance.</li> <li>Manage engineering data and document management systems.</li> <li>Ensure data quality, consistency, and compliance with project standards.</li> <li>Coordinate engineering data exchange between EPC contractors and the client.</li> <li>Oversee metadata management and information lifecycle.</li> <li>Lead the development and implementation of Digital Twin solutions.</li> <li>Ensure integration of engineering models with operational systems.</li> <li>Coordinate digital asset handover requirements.</li> <li>Validate Asset Information Model (AIM) deliverables.</li> <li>Supervise 3D model coordination.</li> <li>Ensure clash detection and model quality.</li> <li>Support BIM execution planning where applicable.</li> <li>Review model maturity throughout project phases.</li> </ul> <p>Systems Integration</p> <ul> <li>Coordinate integration between:<br> <ul> <li>Engineering databases</li> <li>AVEVA solutions</li> <li>Hexagon SmartPlant applications</li> <li>Bentley platforms</li> <li><br></li></ul></li></ul><ul> </ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Location: Dubai, UAE Reports To: Founders / Executive Leadership Role Purpose The Head of Growth Marketing is a high-impact, revenue-owning leadership role sitting at the intersection of direct-to-consumer (D2C) performance marketing, patient journey optimization, and conversion operations.<br> You are the architect of the end-to-end growth engine, responsible for driving B2C customer/patient acquisition from the first digital ad impression through to a converted, high-value clinic booking.<br> As a strategic partner to the Founders, you will operate across all levels of the organization: defining brand growth strategy in the boardroom, managing performance algorithms (Meta, TikTok, Google) at the desk, and coaching contact centre teams to ensure every marketing dirham converts into scalable, profitable top-line revenue.<br> Key Responsibilities1.<br> Strategic Growth, D2C Unit Economics &amp; Founder Alignment Revenue Accountability: Own the top-line acquisition revenue targets.<br> You maintain full commercial responsibility for the growth funnel and justify all ad spend against realized revenue, unit economics, and margins.<br> Growth Strategy &amp; Team Leadership: Translate the Founders’ vision into a scalable, data-driven D2C growth strategy.<br> Direct and scale the Growth Marketing and Performance teams, instilling a high-cadence, test-and-learn culture.<br> Unit Economics Mastery: Manage marketing budgets with a focus on Blended CAC (Customer Acquisition Cost), LTV (Lifetime Value), ROAS (Return on Ad Spend), and AOV (Average Order Value) .<br> Strategic Partnerships: Build consumer-facing partnerships (e.<br>g., corporate wellness programs, lifestyle brands, fitness communities) to diversify acquisition channels beyond paid digital channels.<br> Executive Presence: Deliver transparent "State of Growth" reports to the Board and Founders, translating complex channel analytics into clear commercial narratives centered around EBITDA and market share.<br> 2. D2C Omnichannel Performance Marketing Paid Acquisition Ownership: Lead and execute high-volume performance marketing campaigns across Meta, Google Search/PMax, TikTok, Snapchat, and programmatic channels to drive high-intent consumer traffic.<br> Creative Testing &amp; CRO Engine: Build a high-velocity creative testing framework (Reels, TikTok, UGC, founder/doctor-led content) and optimize landing page conversion rates (CRO) to continually lower acquisition costs.<br> Signal &amp; Data Integrity: Implement first-party data strategies, Server-Side Tracking, and Meta Conversions API (CAPI) to protect attribution accuracy in a privacy-first ecosystem.<br> Lead Quality &amp; Lead Scoring: Establish automated scoring protocols to prioritize high-intent, high-LTV prospective patients for premium treatment pathways.<br> 3. Patient Funnel Optimization &amp; Contact Centre Operations The Bridge to Care: Own the Inbound Lead → Booked Appointment conversion rate.<br> Ensure high-volume marketing leads translate seamlessly into confirmed clinical appointments.<br> In-House Contact Centre Leadership: Coach and guide the in-house patient care / contact centre team on D2C conversion strategies, objection handling, and speed-to-lead response workflows.<br> Automation &amp; Triple-Touch Workflows: Design automated omni-channel nurture workflows (SMS, WhatsApp, phone) to maximize appointment show-rates and reduce drop-offs.<br> Operational SLA Standards: Speed-to-Lead: Maintain a sub-5-minute response target for new inbound inquiries.<br> Answer Rates: Maintain contact centre call answer rates at &gt;95% and Average Speed to Answer (ASA) at &lt;20 seconds.<br> Conversion Benchmarks: Drive Lead-to-Booking conversion floors (25%–40% depending on channel) and appointment show-rates (&gt;85%).<br> The Growth Tech Stack The candidate must be an experienced power user and operator of D2C growth tools: Ad Platforms: Meta Ads Manager (CAPI), Google Ads (PMax, Search, YouTube), TikTok Ads Manager, Snapchat Ads.<br> Analytics &amp; Attribution: GA4, Mixpanel/Amplitude, Triple Whale or similar D2C attribution tools, CRM (Salesforce/HubSpot).<br> Consumer Lifecycle &amp; Messaging: Klaviyo, Iterable, or similar D2C email/SMS/WhatsApp marketing automation platforms.<br> Telephony / Call Operations: Cloud CCaaS tools (e.<br>g., Genesys, CloudTalk, Five9) for lead routing and response tracking.<br> Candidate Profile &amp; RequirementsExperience 8–12+ years total marketing experience , with at least 3+ years in a Head of Growth, Head of Performance, or Director-level role.<br> Proven Track Record in Pure D2C / B2C Acquisition: Must have hands-on experience driving direct-to-consumer growth (e.<br>g., Healthcare/HealthTech, E-Commerce, D2C Subscription Services, Consumer Fintech, or High-Volume B2C Consumer Apps ).<br> Budget Accountability: Demonstrated experience managing multi-million AED/USD annual performance budgets directly tied to top-line consumer revenue targets.<br> Funnel &amp; Team Leadership: Experience managing paid performance channels alongside inbound sales/contact centre conversion teams.<br> The "Growth" Mindset D2C Unit-Economics Obsessed: You focus on CAC, ROAS, LTV, and payback periods—not vanity clicks or impressions.<br> Founder's Mindset: Highly proactive, commercially sharp, and capable of pivoting strategies quickly in a fast-paced environment.<br> Data-Driven &amp; Creative: Skilled at analyzing acquisition data and A/B test results while understanding what creative concepts hook retail consumers.<br> Key Performance Indicators (KPIs) Top-Line D2C Revenue: Direct accountability for revenue growth generated through paid and organic channels.<br> Blended CAC vs.<br> LTV Ratio: Maintaining sustainable, profitable unit economics as budgets scale.<br> Lead-to-Booked Patient Conversion %: Operational efficiency from ad click to clinic visit.<br> Show-Up Rate %: Appointment attendance rate post-booking.<br> Partner-Generated Revenue: Commercial contribution from strategic corporate and wellness partnerships.<br></span> </div>

Role Overview:We are looking for a Senior MLOps + Dev Ops Engineer (8+ years) to architect, build, and scale AI/ML platforms in an on-prem enterprise environment. This role requires end-to-end ownership of ML systems, infrastructure, CI/CD, and production reliability, enabling scalable deployment of machine learning and Gen AI solutions. Key Responsibilities: 1. Platform Architecture & Ownership- Design and own end-to-end ML platform architecture (data → training → deployment → monitoring)- Define and enforce best practices for scalable and secure ML systems- Standardize MLOps + Dev Ops frameworks and processes 2. Model Deployment & Serving- Deploy and manage ML/LLM models on GPU-based on-prem infrastructure- Optimize inference performance (latency, throughput, batching)- Implement model versioning, A/B testing, and rollback strategies 3. CI/CD & Automation- Design and implement CI/CD pipelines for ML models, APIs, and data workflows- Enable automated testing, deployment, and release management 4. Infrastructure & Containerization- Manage Linux-based (RHEL preferred) on-prem infrastructure- Containerize applications using Docker- Deploy and orchestrate workloads using Kubernetes / Open Shift- Operate within restricted or air-gapped environments 5. Data & System Integration- Build pipelines integrating structured databases and high-volume logs/streaming data- Support batch and real-time inference architectures 6. Monitoring, Observability & Reliability- Implement end-to-end observability (model + infra)- Use tools like Prometheus, Grafana, ELK stack- Ensure high availability, SLA adherence, and incident response 7. Gen AI & Advanced ML Systems- Deploy RAG pipelines and vector databases- Manage LLM serving frameworks- Work with agent orchestration frameworks 8. Leadership & Collaboration- Mentor engineers on MLOps and Dev Ops best practices- Collaborate with cross-functional teams- Drive design reviews and production readiness Required Skills: - Strong Python and scripting (Bash)- Deep understanding of ML lifecycle and productionization- Experience deploying ML/LLM systems in production- Linux, Docker, Kubernetes/Open Shift- CI/CD tools (Jenkins/Git Lab CI)- SQL and data pipeline experience<br>Good to Have:- GPU optimization knowledge- MLflow / Kubeflow- Terraform / Ansible- Experience in on-prem or restricted environments Experience:- 8+ years in MLOps / Dev Ops / Platform Engineering- Proven experience scaling production ML systems Ideal Candidate:A hands-on platform architect who can operate across ML systems and infrastructure, driving automation, scalability, and reliability.

Our client is seeking an experienced Data Governance Manager to drive enterprise data governance, quality, architecture, and stewardship initiatives. The role will assess and enhance data management capabilities, establish policies and standards, and partner with business and technology teams to deliver trusted, high-quality data that supports analytics, AI, regulatory compliance, and strategic decision-making. UAE Nationals highly preferred.<br> <br><br>Key Responsibilities<br><br>Lead enterprise-wide data governance and data management initiatives. Conduct data maturity assessments using recognized frameworks such as DCAM. Develop and maintain enterprise data strategy, policies, standards, and operating models. Establish and manage Data Governance Councils, Data Stewardship programs, and ownership frameworks. Define and implement data quality controls, monitoring processes, and remediation plans. Drive metadata management, business glossary, data catalog, and lineage initiatives. Collaborate with business and technology teams to align data architecture with organizational objectives. Develop roadmaps to improve data management capabilities and measure progress through KPIs and maturity scores. Support AI, analytics, and digital transformation programs by ensuring trusted and well-governed data. Identify and mitigate data-related risks, including regulatory, privacy, and compliance requirements. Establish data management processes across the data lifecycle, from creation through archival and disposal. Provide thought leadership and guidance on industry best practices in data management and governance. Prepare executive-level presentations, business cases, and progress reports for senior stakeholders. Partner with technology teams on data platform, master data management, and data integration initiatives. Drive organizational change management and promote a data-driven culture.<br> <br><br>Qualifications<br><br>Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, or a related field.10+ years of experience in Data Management, Data Governance, Data Architecture, or related disciplines. Demonstrated experience leading enterprise data governance and transformation programs. Strong understanding of: Data Governance Data Quality Metadata Management Master Data Management (MDM) Data Architecture Data Privacy and Compliance Experience conducting data maturity assessments and developing improvement roadmaps. Strong stakeholder engagement and executive communication skills. Experience working across business and technology functions. Experience with data catalog, metadata, and governance platforms. Proven ability to manage multiple workstreams in complex organizations. Preferred certifications: DCAM Certification and CDMP (Certified Data Management Professional) Experience supporting AI, machine learning, and advanced analytics initiatives. Consulting or advisory experience in large-scale transformation programs. Knowledge of cloud data platforms such as Azure, AWS, Google Cloud, Databricks, Snowflake, or Microsoft Fabric.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.<br></p><br><p>We are seeking a <strong>Lead AI Engineer</strong>&nbsp;who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized, intelligent digital experiences.<br></p><br><span><strong><span>Key Responsibilities</span></strong></span><span><strong>AI &amp; Agent System Engineering</strong></span><ul><li><p><span><strong>Multi-Agent Orchestration:</strong>&nbsp;</span>Build and refine the AI CFO super-agent, specialist sub-agents, intent classification pipelines, tool routing logic, and session memory.</p><br></li><li><p><span><strong>Deterministic Policy Enforcement:</strong>&nbsp;</span>Build and maintain the&nbsp;<span><strong>Tool Gateway</strong></span>&nbsp;layer to validate all LLM-generated actions against strict banking policies, ensuring zero hallucinated transactions.</p><br></li><li><p><span><strong>RAG &amp; Guardrails:</strong>&nbsp;</span>Engineer end-to-end RAG pipelines (ingestion, vector indexing, retrieval optimization). Implement programmatic guardrails ("Trust Dial" logic for autonomous vs. approval modes).</p><br></li><li><p><span><strong>AI Evaluation Frameworks:</strong>&nbsp;</span>Design automated continuous evaluation pipelines to detect behavioral regressions and hallucination risks before releases reach staging or production.</p><br></li></ul><span><strong>Cloud-Native &amp; Performance Engineering</strong></span><ul><li><p>Build resilient, containerized, stateless microservices on Kubernetes designed for high concurrency and horizontal scaling.</p><br></li><li><p>Optimize LLM inference layers (token budget management, streaming responses, prompt caching, model fallbacks).</p><br></li><li><p>Engineer real-time event streaming pipelines (via Kafka/AWS MSK) for proactive banking triggers.</p><br></li><li><p>Implement deep observability using OpenTelemetry, Prometheus, and Grafana for full auditability of agent reasoning chains.</p><br></li></ul><span><strong>Banking Integration &amp; Safety</strong></span><ul><li><p>Build robust API adapter layers connecting the AI platform with core banking systems, incorporating retry logic, rate limiting, and idempotency keys.</p><br></li><li><p>Implement legacy service facades and secure transaction safety nets (rollback mechanisms, duplicate transaction detection, and reconciliation).</p><br></li><li><p>Enforce enterprise security protocols (mTLS, OAuth 2.0, secret rotation).</p><br></li></ul><span><strong>Engineering Leadership &amp; Standards</strong></span><ul><li><p>Set and enforce code quality, test coverage, and definition-of-done criteria across four delivery pods.</p><br></li><li><p>Lead the AI engineering community of practice (architecture syncs, reusable libraries, design pattern documentation).</p><br></li><li><p>Mentor engineers on production AI design practices and sign off on release quality gates.</p><br></li></ul><span><strong>Core Tech Stack</strong></span><ul><li><p><span><strong>Languages:</strong></span>&nbsp;<span>Python, TypeScript, Dart (Flutter dynamic UI context)</span></p><br></li><li><p><span><strong>AI/LLM:</strong>&nbsp;Anthropic Claude (Haiku / Sonnet), LangGraph or custom agent frameworks</span></p><br></li><li><p><span><strong>Data &amp; Search:</strong></span>&nbsp;<span>pgvector, Pinecone, PostgreSQL, Redis</span></p><br></li><li><p><span><strong>Streaming &amp; Messaging:</strong>&nbsp;Apache Kafka / AWS MSK</span></p><br></li><li><p><span><strong>Cloud &amp; DevOps:</strong></span>&nbsp;<span>Kubernetes (EKS/AKS), Terraform/CDK, GitHub Actions CI/CD</span></p><br></li><li><p><span><strong>Observability:</strong>&nbsp;OpenTelemetry, Prometheus, Grafana</span></p><br></li></ul><strong>Requirements &amp; Qualifications</strong><strong>Must-Haves:</strong><ul><li><p><strong>7+ years</strong>&nbsp;of overall software engineering experience with a strong track record of shipping complex, high-traffic production systems.</p><br></li><li><p><strong>3+ years</strong>&nbsp;of hands-on experience building and deploying&nbsp;<strong>production-grade LLM/Agentic AI systems</strong>&nbsp;at scale (orchestrator/worker patterns, tool calling, RAG pipelines, prompt safety).</p><br></li><li><p>Deep expertise in&nbsp;<strong>Python</strong>&nbsp;and/or&nbsp;<strong>TypeScript</strong>&nbsp;with solid software design principles (distributed systems, concurrency, fault tolerance).</p><br></li><li><p>Proven track record deploying containerized workloads using&nbsp;<strong>Kubernetes</strong>&nbsp;on major cloud providers (AWS/Azure/GCP) using IaC tools like Terraform or CDK.</p><br></li><li><p>Direct experience with system performance tuning, latency budgets, caching strategies, and&nbsp;<strong>event-driven architectures (Kafka)</strong>.</p><br></li><li><p>Demonstrated technical leadership experience as a Lead/Staff Engineer conducting rigorous code reviews and setting quality standards.</p><br></li></ul><strong>Nice-to-Haves:</strong><ul><li><p>Direct experience within&nbsp;<strong>Banking, Fintech, or Financial Services</strong>, especially integrating with core banking APIs, payment rails, or card platforms.</p><br></li><li><p>Familiarity with financial compliance and security standards (PCI-DSS, SOC 2, zero-tolerance data correctness).</p><br></li></ul><p><strong>Location:</strong> Dubai, UAE&nbsp;<br></p><br><p>Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.<br><span>We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and<strong>&nbsp;Globant’s Benefits. </strong></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><strong><u>The Opportunity</u></strong><br> <br> <p><span>The EB Products Actuary will play a critical role in driving the growth and profitability of MetLife Gulf’s Employee Benefits business operation across UAE, Qatar, Oman, Kuwait and Bahrain through group medical, life, disability insurance and credit life products. This position involves developing pricing strategies, designing new insurance products, and enhancing existing offerings to meet the evolving needs of our customers and the market. The successful candidate will possess a deep understanding of group medical, life and credit life insurance products, financial modeling, and regulatory requirements, combined with a strategic mindset and a passion for innovation.&nbsp;</span></p><br><br><p><span><strong><u><span>Key Relationships:</span></u></strong></span></p><br><br><p><span><strong><u><span>Reports to:</span></u></strong><span>EB Technical Director Gulf</span></span></p><br><br><p><span><strong><u><span>Other Key Stakeholders:</span></u></strong><span>Head of Product Gulf, Head of EB Underwriting Gulf, Head of EB Sales Gulf</span></span></p><br><br> <br> <br><strong><u>Key Responsibilities</u></strong><br> <br> <ul><li><span>Design and price competitive insurance products for group medical, life, disability and credit life, ensuring alignment with business objectives and local market demands.&nbsp;</span></li><li><span>Develop and maintain actuarial models for pricing and financial projections, ensuring accuracy and compliance with MetLife’s Actuarial Practice Standards.&nbsp;</span></li><li><span>Collaborate with cross-functional teams, including underwriting, sales, finance, operations and claims to ensure product offerings are effectively positioned and supported.&nbsp;</span></li><li><span>Monitor the financial performance of products, analyzing variances and trends to recommend pricing adjustments and product enhancements as needed.&nbsp;</span></li><li><span>Prepare and present detailed reports and proposals to senior management, providing insights and recommendations based on actuarial analysis.&nbsp;</span></li><li><span>Stay informed of legislative and regulatory changes that may impact product offerings and ensure compliance with all applicable local laws and regulations.&nbsp;</span></li></ul> <br> <br><strong><u>Required Qualifications</u></strong><br> <br> <ul><li><span>Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, or a related field.&nbsp;</span></li><li><span>Qualified (fellow/associate) &amp; nearly qualified actuary in one of the recognized actuarial organizations.&nbsp;</span></li><li><span>Minimum of 5 years of pricing and product development experience focusing on group medical, life, disability and credit life insurance.&nbsp;</span></li><li><span>Strong proficiency in data analytics tools such as Alteryx, SAS and data visualization platforms such as Power Bi, Tableau, Qlikview.&nbsp;</span></li><li><span>Knowledge of AI and machine learning applications in pricing, underwriting, and product development.</span></li><li><span>Problem solver with excellent analytical and decision-making skills.&nbsp;</span></li><li><span>Proven ability to communicate complex actuarial concepts to non-technical stakeholders.&nbsp;</span></li><li><span>Ability to manage multiple priorities in a dynamic environment, collaborating across functions Leadership, Management, excellent written and verbal communication skills.&nbsp;</span></li></ul> <br> <br><strong><u>Preferred Qualifications</u></strong><br> <br> <ul><li><span>Experience in the GCC insurance market, including employee benefits products and regional regulatory requirements.<br></span></li><li><span>Experience managing multi-country product portfolios and leading strategic product development initiatives.<br></span></li><li><span>Demonstrated success leading cross-functional AI or digital transformation initiatives that deliver measurable business value.<br></span></li></ul> <br><br> </div>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Engineer based in United Arab Emirates.<br><br>This role offers the opportunity to build innovative products at the intersection of artificial intelligence, biotechnology, and decentralized science.<br><br>You will transform emerging AI capabilities into practical applications that help users explore complex health and biological data.<br><br>The position combines engineering execution, product thinking, and rapid experimentation to bring ideas from concept to deployed MVPs.<br><br>You will work closely with a technical team focused on advancing AI-driven research while owning the user-facing experiences that bring these systems to life.<br><br>This is an ideal opportunity for a versatile full-stack engineer who enjoys solving ambiguous problems and shipping impactful products quickly.<br><br>You will have significant autonomy, influence product direction, and contribute to technologies shaping the future of personalized health and scientific discovery.<br><br>Accountabilities<br><br>As a Product Engineer, you will be responsible for rapidly designing, building, and launching user-facing applications that connect advanced AI capabilities with real-world use cases. You will bridge the gap between complex technical systems and intuitive user experiences while driving product experimentation and delivery.<br><br>Build and deploy user-facing MVPs quickly, using an iterative approach to validate ideas and measure user value. Develop applications and product experiences that make AI-powered tools accessible and useful for end users. Create integrations and connectors for external data sources, including health platforms, electronic health records, and biological databases. Translate complex and non-deterministic AI outputs into clear, intuitive, and actionable user interfaces. Prototype new product concepts, test assumptions with users, and rapidly refine solutions based on feedback. Take ownership of application development while enabling the core technical team to focus on AI reasoning capabilities. Work across the full product lifecycle, from initial concept and architecture decisions to deployment and continuous improvement. Navigate technical uncertainty and build practical solutions when working with evolving technologies and incomplete requirements. Collaborate with technical and product stakeholders to identify opportunities and create meaningful user experiences.<br><br>Requirements<br><br>The ideal candidate is a product-minded full-stack engineer who enjoys building quickly, experimenting with new technologies, and solving complex user problems. You should combine strong engineering skills with curiosity, creativity, and a focus on delivering products that create real value.<br><br>Proven experience building and launching products that are actively used by customers or end users. Strong full-stack engineering capabilities with a particular focus on frontend development and user experience. Ability to rapidly prototype, iterate, and deliver production-ready applications. Experience integrating with complex, inconsistent, or undocumented APIs and external data sources. Strong product intuition with a focus on solving user needs rather than purely technical challenges. Comfortable working in ambiguous environments with changing priorities and rapid iteration cycles. Ability to translate technical concepts into simple, intuitive user experiences. Experience building interfaces for AI or machine learning systems is a plus. Familiarity with healthcare APIs, health data platforms, fitness tracking systems, or personal analytics tools is valued. Strong interest in biology, health technology, AI, or emerging scientific applications is a plus. Background in design or strong UI/UX skills is beneficial.<br><br>Benefits<br><br>Fully remote work environment with flexibility to work from anywhere. High level of autonomy and ownership over products from concept through launch. Opportunity to work at the intersection of AI, biotechnology, and decentralized science. Competitive compensation package including token and/or equity components. Ability to build innovative applications with direct impact on scientific research and personal health. Collaborative environment focused on experimentation, learning, and rapid execution. Opportunity to work with cutting-edge AI technologies and emerging data ecosystems.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br>POSITION SUMMARY<br>Enter and retrieve information contained in computer databases using a keyboard, mouse, or trackball to update records, files, reservations, and answer inquiries from guests. Transmit information or documents using a computer, mail, or facsimile machine. Operate standard office equipment other than computers. Prepare letters, memos, and other documents using word processing, spreadsheet, database, or presentation software. Handle incoming and outgoing mail, including date stamping and distributing incoming mail. Create and maintain computer- and paper-based filing and organization systems for records, reports, documents, etc. Compile, copy, sort, and file records of office activities, business transactions, and other activities. Enter and locate work-related information using computers and/or point of sale systems.<br>Follow all company policies and procedures, ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Speak with others using clear and professional language, prepare and review written documents accurately and completely, and answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.&nbsp;<br>The world is a big place and Marriott Executive Apartments offers temporary housing that feels like home in the biggest and best cities for business travel across Europe, Asia, Latin America, Africa and the Middle East. Join the Marriott Executive Apartments team and help our guests adapt to a new locale and feel comfortable and cared for while living away from home. In joining Marriott Executive Apartments, you join a portfolio of brands with Marriott International. Be where you can do your best work,​ begin&nbsp;your purpose,&nbsp;belong&nbsp;to an amazing global​&nbsp;team, and&nbsp;become&nbsp;the best version of you.</span> </div>

Deep Light AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.<br><br>The Data Architect leads the design and execution of robust, enterprise-grade data architectures that support AI initiatives, advanced analytics, and business intelligence efforts. Operating within client environments with a strong focus on financial services, banking, and treasury domain frameworks, this role translates complex business and regulatory requirements into scalable, secure, and performant data structures. The Data Architect collaborates closely with data engineers, data scientists, and business stakeholders to ensure that foundational data systems align directly with strategic corporate goals.<br><br>Key Responsibilities<br><br>Architectural Design & Treasury Data Modeling<br><br>Lead the design and implementation of scalable data architectures, enterprise data lakes, and modern warehouse frameworks that address current and future analytical needs Develop and maintain conceptual, logical, and physical data models (relational, dimensional, NoSQL) to support complex analytics, reporting, and specialized treasury operations (e.g., cash management, liquidity risk, asset-liability management) Design seamless data flows and integration strategies across core banking, treasury management systems (TMS), external market feeds, and downstream AI/ML pipelines<br><br>Standards, Governance & Security<br><br>Establish data governance, data lineage, quality control standards, and design guidelines that enforce data integrity, security, and auditability Ensure all data architectures adhere to local and international financial regulatory requirements, data privacy mandates, encryption protocols, and strict access controls<br><br>Collaboration, Optimization & Innovation<br><br>Work closely with data engineers, data analysts, AI specialists, and treasury stakeholders to gather requirements and convert business goals into technical execution Monitor and optimize database performance, ensuring efficient query execution, low-latency access, partitioning, and indexing strategies across cloud and on-premise platforms Create and maintain comprehensive documentation covering data models, system topologies, data dictionaries, and architectural guidelines accessible to all organizational levels Evaluate emerging technologies, cloud capabilities, and data tools to provide data-driven recommendations that elevate the firm's data and AI capabilities<br><br>Requirements<br><br>We need you to have:<br><br>Strong mastery of data modeling methodologies (relational, dimensional, star/snowflake schemas, Data Vault, NoSQL) and database engines (e.g., Postgre SQL, Oracle, SQL Server, Mongo DB) Deep functional knowledge of modern cloud-based data solutions (Azure, AWS, or GCP), cloud data warehouses (e.g., Snowflake, Big Query, Synapse), and advanced ETL/ELT orchestration patterns Solid understanding of data governance principles, metadata management, enterprise data security, and compliance frameworks applicable to financial systems Excellent communication skills, with a proven ability to explain complex technical designs, data flows, and trade-offs to non-technical stakeholders and executive leadership Outstanding analytical skills and a structured approach to resolving complex architectural bottlenecks in fast-paced, multidisciplinary team environments Direct experience working with financial services, corporate treasury operations, banking systems, or financial risk platforms, understanding core treasury concepts such as liquidity, cash positioning, and financial messaging standards Proven experience operating as a Data Architect or Principal Data Engineer, with a verifiable portfolio of designing and implementing complex, scalable enterprise data architectures Demonstrated background in designing enterprise-grade data pipelines, integrating disparate real-time and batch data sources into unified analytics architectures Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related quantitative discipline (or equivalent practical experience)<br><br>We'd also like you to have:<br><br>Direct hands-on experience integrating major Treasury Management Systems (e.g., FIS Integrity, Murex, Kyriba, SAP Treasury) or financial messaging protocols (e.g., SWIFT, ISO 20022) Familiarity with data preparation requirements for machine learning models, feature stores, and vector database structures for AI application consumption Formal industry credentials such as TOGAF, AWS Certified Data Analytics / Solutions Architect, Azure Solutions Architect Expert, or Certified Data Management Professional (CDMP)<br><br>Benefits<br><br>The benefits you'll enjoy as part of this role include:<br><br>Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company<br><br>This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br><br>At Deep Light AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br><br>Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br><br>If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

Eaton has been a key player in the Middle East for 40 years. In July2024, we announced the construction of a new sustainable campus in Dubai, which will bring together our commercial, manufacturing, and support functions, providing room for future growth.<br><br>About Eaton<br><br>Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.<br><br>The Industrialization and Automation Engineer - Electronics will define, develop and implement automated manufacturing process to ensure cost-effective, efficient and reliable PCBA production. The individual will extend support for Industry 4.0 including machine connectivity, traceability, OEE and preventive/ predictive maintenance etc.<br><br>The role bridges product design and manufacturing by leading process industrialization, equipment mechanical design and selection, automation integration, and continuous improvement to improve quality, productivity, and scalability while meeting safety and business requirements.<br><br>What You’ll Do<br><br>Partner with multi-functional teams to evaluate automation opportunities within organization. Drive automation strategy, and equipment evaluation ensuring alignment with manufacturing and EATON quality and safety standards using innovative engineering solutions to address complex challenges. Prepare RFQs, work with suppliers to define, develop, and implement automation solutions for PCBA manufacturing. Identify, evaluate, and document manufacturing processes, assembly technologies, and emerging automation solutions to improve operational efficiency. Design internal mechanical solutions for automation by using technical engineering skillset Support integration of shopfloor systems with MES / ERP for traceability, data collection, and production reporting using operational technical engineering excellence frameworks Translate product design requirements into manufacturable solutions, ensuring Design for Manufacturing (DFM) alignment with R&D teams. Develop and standardize industrialization methodologies, processes and best practices, contributing to manufacturing engineering knowledge and capability. Drive OPEX and CAPEX optimization, including cost comparison of manual vs automated solutions and ROI analysis Collaborate with cross‑functional teams to ensure smooth product and process ramp‑up Coordinate process flow design, line balancing, cycle time analysis, and capacity planning to meet production volume and takt targets Ensure automation systems comply with EATON safety standards (MESH8.0, CE, Cybersecurity,..), ergonomics, and regulatory requirements<br><br><br>Qualifications<br><br>Bachelor's degree in the field of Electronics/Electrical and/or Industrial/Mechanical Engineering7+ years experience as a process or industrial engineer in EMS sector<br><br><br>Skills<br><br>Experience with automation and digitization of manufacturing processes Experience in new project implementation and transfer within the manufacturing Developing and deploying automation solutions Integrating robotics into production processes for PCBA manufacturing Working knowledge of electronic boards design Working knowledge of ERP system SAPExperience with hig mix - low volume production Strong process mindset with Lean manufacturing experience, aiming to achieve excellence Result and solution-oriented, strong analytical and problem-solving skills Fast and effective at dealing with difficult situations A flexible person with a can-do attitude who sees opportunities where others see risks Ability to communicate at all levels in the organization Good command of the English language<br><br><br>What We Offer You<br><br>Being part of a company that has been in business for more than 100 years, is well known in the industry, and has a major impact on the energy industry Work in a company that is commitment to Inclusion & Diversity and Sustainability Annual mentoring program, Eaton University, a reward, and recognition system Ongoing Learning and Career Development Opportunities in a global company. Build your career and apply internally for our open positions worldwide Strong, agile and diverse team locally and globally Strong processes and state-of-the-art systems and tools Structured employee development processes, open feedback culture with development plans Detailed induction support and well-structured onboarding Balance your work and life with a hybrid worktime model<br><br><br>Living and Working in Dubai<br><br>Dubai is a vibrant, cosmopolitan city known for its modern architecture, luxurious lifestyle, and rich cultural heritage. Living and working in Dubai offers an exceptional quality of life with world-class amenities, a safe environment, and a thriving expatriate community. Experience a dynamic blend of work and leisure in one of the world’s most exciting cities.<br><br>Ready to make a difference? Join Eaton’s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!<br><br>We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.

Who We Are<br><br>Welcome to TELUS Digital - where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.<br><br>With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise Technology, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.<br><br>From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.<br><br>Location and Flexibility<br><br>This role will be on-site in our Dubai, UAE office with regional travel expected.<br><br>The Opportunity <br><br>As a Senior Manager, Solutions Architecture, you’ll provide architecture leadership in both pre-sale and implementation stages with our client and executive partners. You’ll leverage your software delivery experience and technical expertise to architect, plan, and initiate new projects. While working with a delivery team, you’ll support in-flight projects and implement our client partner’s vision. Senior Managers in Solutions Architecture bring their dynamic capabilities to a variety of scenarios, such as speaking with prospective clients about our capabilities, leading architecture and discovery projects for new client initiatives, and working with a delivery team to implement their vision. During downtime, our Solutions Architecture team acts as roving catalysts to support in-flight projects, with L&D time spent growing their technology expertise in a selected specialization (e.g., AWS).<br><br>As a founding member of the Middle East team, this role provides the opportunity to build our team, shape our processes, and guide early project teams. While the core SA skills are critical, we are also seeking individuals with strong leadership, mentorship, and entrepreneurial capabilities.<br><br>Responsibilities<br><br>Presale: Lead scoping, technical design, and work planning during the presale process while speaking with prospective clients about our firm's engineering capabilities Delivery: Play the lead role in technical architecture and discovery projects, using consulting methods to refine the product and technical architecture of client projects Subject Matter Expertise: Owns a “technology vertical”, encompassing solution design, platform selection, implementation support, and thought leadership (e.g., AWS, Content Management Systems, hybrid mobile frameworks, etc.) Roving Catalyst: Enhance existing project teams with architectural account-level guidance or specific subject matter expertise<br><br>Competencies <br><br>Multi-platform familiarity, with expertise in one or more of the following:Front-end: Swift, Kotlin, Maui, React Native, React, Angular, Flutter, Typescript Backend: APIs (Node JS, Spring, . NET, Python), Cloud (AWS, Azure, GCP), Data Services/Systems (SQL, NoSQL, Kafka) Content management systems, analytics platforms, and other 3rd party frameworks Experience delivering software in an agency/client-service environment Experience in having commercial conversations involving budgets and fees Experience with software estimation, work planning, and building project plans within time/cost constraints Ability to break down complex ideas to both technical and non-technical individuals You're excited to learn the principles of mobile software development Experience quickly iterating and refining a product vision with a client by offering multiple approach options Passion to apply modern processes that transform client organizations (e.g., continuous delivery, rapid iteration, and agile-inspired methodologies) Excellent verbal and written communication skills Ability to use repeatable frameworks and best practices to incorporate new technologies or concepts Appreciation for the wider client enterprise, beyond a single project or initiative Desire to expand an account to holistically service a client Equally comfortable working in pre-sale and post-sale environments An eye for detail and an ability to navigate ambiguity<br>Bonus Points<br><br>Experience with leading CCaa S technologies such as Amazon Connect, Zendesk CCaa S, Google CES, Five9, and Genesys CCaa S. Cloud Data Platforms: Experience with Databricks, Snowflake, or other major cloud data warehousing/lakehouse solutions. Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI). Understanding of MLOps principles and tools for continuous integration/continuous delivery (CI/CD) of machine learning models. Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable deployments.<br><br>Equal Opportunity Employer<br><br>At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.<br><br>We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.<br><br>For more information on how we use your information, see our Privacy Policy.

Zofeur<br><br>Software Engineering, IT<br><br>Dubai - United Arab Emirates<br><br>Posted on Jul 27, 2026<br><br>Apply now<br><br>Chief Technology Officer: Hands-on, AI-native technology leadership for Zofeur's next stage of scale<br><br>Reports to: Founder & CEO<br><br>Scope: Engineering, architecture, mobile, QA, Dev Ops, infrastructure, cybersecurity, data engineering and AI engineering<br><br>The Opportunity <br><br>Build the technology organisation behind a high-volume, real-time mobility platform. This is a company-level leadership role for a technically deep operator who can strengthen an existing platform, upgrade a distributed team and make AI a practical advantage across engineering and mobility intelligence.<br><br>About Zofeur<br><br>Zofeur is a fast-growing mobility technology platform built around delegated mobility for car owners. The platform powers on-demand chauffeur services, scheduled and subscription-based mobility, enterprise driver logistics and related operational services across multiple markets.<br><br>Its technology environment includes customer and chauffeur mobile applications, real-time dispatch and location systems, payments, subscriptions, operational control systems, enterprise dashboards, APIs, analytics and cloud infrastructure. Zofeur is now building its next stage of internal technology leadership as it scales across the GCC.<br><br>The role<br><br>Zofeur is seeking a hands-on, AI-native Chief Technology Officer to take end-to-end ownership of technology strategy, engineering execution and organisational capability. The CTO will inherit a live platform and an established distributed engineering team. The immediate mandate is to strengthen that team, internalise critical capabilities, improve delivery speed and quality, reduce key-person dependency and build a high-performing engineering organisation. This is not a purely strategic or managerial position. The CTO must be technically credible enough to engage directly with architecture, code quality, infrastructure and production incidents while building the leadership structure required for scale.<br><br>What You Will Own<br><br>Technology strategy and architecture<br><br>Own Zofeur's technical vision, architecture and engineering roadmap. Ensure the platform can support increasing transaction volumes, geographic expansion and new product lines. Review the current cloud, backend, mobile, data and integration architecture and establish clear technical standards. Prioritise technical debt according to customer, operational and commercial impact. Make pragmatic build-versus-buy, modernisation and platform investment decisions. Improve systems incrementally while replacing components where evidence clearly justifies it.<br><br>Engineering organisation<br><br>Assess the existing engineering organisation and develop a clear capability and succession plan. Build an internal technology organisation while managing a controlled hybrid delivery model. Recruit, coach and retain high-quality engineering leaders and individual contributors. Establish clear ownership across backend, mobile, QA, infrastructure, security, data and AI engineering. Eliminate critical individual dependencies and create an accountable, transparent engineering culture.<br><br>Delivery, reliability and quality<br><br>Improve engineering velocity without compromising platform stability. Establish measurable standards for release frequency, lead time, defect rate, availability and incident recovery. Strengthen QA automation across critical customer, chauffeur, payment, subscription, B2B and operational workflows. Implement effective code review, testing, deployment, rollback, observability and incident-response practices. Improve technical documentation and engineer onboarding.<br><br>AI-first engineering and mobility intelligence<br><br>Establish AI-native development practices across coding, testing, review, documentation, debugging and internal tooling. Select and govern AI development tools with appropriate security, privacy and quality controls. Build capability in data engineering, AI engineering and MLOps. Partner with Product and Operations to convert high-value AI opportunities into reliable production systems. Lead initial priorities including automated software engineering and QA, ETA and demand forecasting, and pricing and supply planning.<br><br>Cloud, security and governance<br><br>Own AWS and GCP architecture, availability, security and cost management. Establish strong identity, access, secrets and production-control policies. Ensure Zofeur maintains complete control over source code, infrastructure and critical third-party systems. Strengthen cybersecurity, privacy, business continuity and disaster recovery. Prepare the technology organisation for enterprise diligence, regional expansion and future compliance requirements.<br><br>Executive leadership<br><br>Act as a strategic partner to the Founder and CEO and challenge priorities constructively. Translate company objectives into credible technology plans, budgets, trade-offs and timelines. Represent technology with the board, investors, strategic partners and enterprise customers. Build a culture of accountability, urgency, transparency and continuous improvement.<br><br>What Success Looks Like<br><br>Technology ownership has moved from founder-led decision-making to a clear, CTO-led operating model. Zofeur has a strong internal engineering core supported by carefully governed external capacity. Critical systems and responsibilities have documented owners and no material single-person dependencies. Release speed, reliability, defect rates and incident recovery are measured and materially improving. AI is embedded in everyday engineering delivery and selected mobility-intelligence use cases are operating in production. The technology organisation can support GCC expansion without proportionally increasing complexity or headcount.<br><br>Candidate profile<br><br>The Successful Candidate Will Likely Bring<br><br>Significant software engineering and technology leadership experience, typically 12 or more years, with evidence valued above tenure. Experience leading and scaling multidisciplinary engineering organisations. Strong architecture capability across cloud, backend, mobile, data and APIs. Experience with high-volume transactional, marketplace, logistics, mobility, delivery, fintech or consumer platforms. Direct exposure to real-time systems, location data, payments or operational platforms. Experience managing distributed internal teams and outsourced engineering partners. A record of recruiting, assessing and upgrading engineering talent. Practical experience implementing AI-assisted software development and production AI systems. Strong knowledge of QA automation, Dev Ops, observability, security and incident management. Commercial judgement and the ability to connect technical decisions to customer and business outcomes. The confidence and communication skills to work directly with founders and boards. Experience with PHP/Laravel, Swift, Kotlin, AWS, GCP, Redshift or mobility technology is advantageous but not mandatory. A previous CTO title is not required.<br><br>The working style we value<br><br>Technically hands-on without becoming the team's bottleneck. Decisive, calm and low-ego, particularly during incidents and organisational change. Pragmatic about architecture and resistant to unnecessary rewrites or fashionable complexity. Comfortable challenging the CEO and leadership team, while remaining accountable for execution. Able to communicate difficult technical trade-offs in clear commercial language. Motivated by measurable customer and business outcomes rather than technology for its own sake.<br><br>Location and package<br><br>This is a full-time, office-based position in Dubai. Zofeur offers a competitive executive package, meaningful equity participation and the opportunity to shape the technology foundation of a category-defining regional mobility company.<br><br>Important<br><br>This role is designed for a builder. Candidates seeking a remote, advisory or delegation-only CTO position will not be a fit.<br><br>Apply now<br><br>See more open positions at Zofeur

Chief Technology Officer: Hands-on, AI-native technology leadership for Zofeur's next stage of scale Reports to: Founder & CEOScope: Engineering, architecture, mobile, QA, Dev Ops, infrastructure, cybersecurity, data engineering and AI engineering<br>The Opportunity Build the technology organisation behind a high-volume, real-time mobility platform. This is a company-level leadership role for a technically deep operator who can strengthen an existing platform, upgrade a distributed team and make AI a practical advantage across engineering and mobility intelligence.<br>About Zofeur Zofeur is a fast-growing mobility technology platform built around delegated mobility for car owners. The platform powers on-demand chauffeur services, scheduled and subscription-based mobility, enterprise driver logistics and related operational services across multiple markets. Its technology environment includes customer and chauffeur mobile applications, real-time dispatch and location systems, payments, subscriptions, operational control systems, enterprise dashboards, APIs, analytics and cloud infrastructure. Zofeur is now building its next stage of internal technology leadership as it scales across the GCC.<br>The role Zofeur is seeking a hands-on, AI-native Chief Technology Officer to take end-to-end ownership of technology strategy, engineering execution and organisational capability. The CTO will inherit a live platform and an established distributed engineering team. The immediate mandate is to strengthen that team, internalise critical capabilities, improve delivery speed and quality, reduce key-person dependency and build a high-performing engineering organisation. This is not a purely strategic or managerial position. The CTO must be technically credible enough to engage directly with architecture, code quality, infrastructure and production incidents while building the leadership structure required for scale.<br>What you will own Technology strategy and architecture Own Zofeur's technical vision, architecture and engineering roadmap. Ensure the platform can support increasing transaction volumes, geographic expansion and new product lines. Review the current cloud, backend, mobile, data and integration architecture and establish clear technical standards. Prioritise technical debt according to customer, operational and commercial impact. Make pragmatic build-versus-buy, modernisation and platform investment decisions. Improve systems incrementally while replacing components where evidence clearly justifies it.<br>Engineering organisation Assess the existing engineering organisation and develop a clear capability and succession plan. Build an internal technology organisation while managing a controlled hybrid delivery model. Recruit, coach and retain high-quality engineering leaders and individual contributors. Establish clear ownership across backend, mobile, QA, infrastructure, security, data and AI engineering. Eliminate critical individual dependencies and create an accountable, transparent engineering culture.<br>Delivery, reliability and quality Improve engineering velocity without compromising platform stability. Establish measurable standards for release frequency, lead time, defect rate, availability and incident recovery. Strengthen QA automation across critical customer, chauffeur, payment, subscription, B2B and operational workflows. Implement effective code review, testing, deployment, rollback, observability and incident-response practices. Improve technical documentation and engineer onboarding.<br>AI-first engineering and mobility intelligence Establish AI-native development practices across coding, testing, review, documentation, debugging and internal tooling. Select and govern AI development tools with appropriate security, privacy and quality controls. Build capability in data engineering, AI engineering and MLOps. Partner with Product and Operations to convert high-value AI opportunities into reliable production systems. Lead initial priorities including automated software engineering and QA, ETA and demand forecasting, and pricing and supply planning.<br>Cloud, security and governance Own AWS and GCP architecture, availability, security and cost management. Establish strong identity, access, secrets and production-control policies. Ensure Zofeur maintains complete control over source code, infrastructure and critical third-party systems. Strengthen cybersecurity, privacy, business continuity and disaster recovery. Prepare the technology organisation for enterprise diligence, regional expansion and future compliance requirements.<br>Executive leadership Act as a strategic partner to the Founder and CEO and challenge priorities constructively. Translate company objectives into credible technology plans, budgets, trade-offs and timelines. Represent technology with the board, investors, strategic partners and enterprise customers. Build a culture of accountability, urgency, transparency and continuous improvement.<br>What success looks like Technology ownership has moved from founder-led decision-making to a clear, CTO-led operating model. Zofeur has a strong internal engineering core supported by carefully governed external capacity. Critical systems and responsibilities have documented owners and no material single-person dependencies. Release speed, reliability, defect rates and incident recovery are measured and materially improving. AI is embedded in everyday engineering delivery and selected mobility-intelligence use cases are operating in production. The technology organisation can support GCC expansion without proportionally increasing complexity or headcount.<br>Candidate profile The successful candidate will likely bring:Significant software engineering and technology leadership experience, typically 12 or more years, with evidence valued above tenure. Experience leading and scaling multidisciplinary engineering organisations. Strong architecture capability across cloud, backend, mobile, data and APIs. Experience with high-volume transactional, marketplace, logistics, mobility, delivery, fintech or consumer platforms. Direct exposure to real-time systems, location data, payments or operational platforms. Experience managing distributed internal teams and outsourced engineering partners. A record of recruiting, assessing and upgrading engineering talent. Practical experience implementing AI-assisted software development and production AI systems. Strong knowledge of QA automation, Dev Ops, observability, security and incident management. Commercial judgement and the ability to connect technical decisions to customer and business outcomes. The confidence and communication skills to work directly with founders and boards. Experience with PHP/Laravel, Swift, Kotlin, AWS, GCP, Redshift or mobility technology is advantageous but not mandatory. A previous CTO title is not required.<br>The working style we value Technically hands-on without becoming the team's bottleneck. Decisive, calm and low-ego, particularly during incidents and organisational change. Pragmatic about architecture and resistant to unnecessary rewrites or fashionable complexity. Comfortable challenging the CEO and leadership team, while remaining accountable for execution. Able to communicate difficult technical trade-offs in clear commercial language. Motivated by measurable customer and business outcomes rather than technology for its own sake.<br>Location and package This is a full-time, office-based position in Dubai. Zofeur offers a competitive executive package, meaningful equity participation and the opportunity to shape the technology foundation of a category-defining regional mobility company.<br>Important This role is designed for a builder. Candidates seeking a remote, advisory or delegation-only CTO position will not be a fit.

Chief Technology Officer: Hands-on, AI-native technology leadership for Zofeur's next stage of scale Reports to: Founder & CEOScope: Engineering, architecture, mobile, QA, Dev Ops, infrastructure, cybersecurity, data engineering and AI engineering<br>The Opportunity Build the technology organisation behind a high-volume, real-time mobility platform. This is a company-level leadership role for a technically deep operator who can strengthen an existing platform, upgrade a distributed team and make AI a practical advantage across engineering and mobility intelligence.<br>About Zofeur Zofeur is a fast-growing mobility technology platform built around delegated mobility for car owners. The platform powers on-demand chauffeur services, scheduled and subscription-based mobility, enterprise driver logistics and related operational services across multiple markets. Its technology environment includes customer and chauffeur mobile applications, real-time dispatch and location systems, payments, subscriptions, operational control systems, enterprise dashboards, APIs, analytics and cloud infrastructure. Zofeur is now building its next stage of internal technology leadership as it scales across the GCC.<br>The role Zofeur is seeking a hands-on, AI-native Chief Technology Officer to take end-to-end ownership of technology strategy, engineering execution and organisational capability. The CTO will inherit a live platform and an established distributed engineering team. The immediate mandate is to strengthen that team, internalise critical capabilities, improve delivery speed and quality, reduce key-person dependency and build a high-performing engineering organisation. This is not a purely strategic or managerial position. The CTO must be technically credible enough to engage directly with architecture, code quality, infrastructure and production incidents while building the leadership structure required for scale.<br>What you will own Technology strategy and architecture Own Zofeur's technical vision, architecture and engineering roadmap. Ensure the platform can support increasing transaction volumes, geographic expansion and new product lines. Review the current cloud, backend, mobile, data and integration architecture and establish clear technical standards. Prioritise technical debt according to customer, operational and commercial impact. Make pragmatic build-versus-buy, modernisation and platform investment decisions. Improve systems incrementally while replacing components where evidence clearly justifies it.<br>Engineering organisation Assess the existing engineering organisation and develop a clear capability and succession plan. Build an internal technology organisation while managing a controlled hybrid delivery model. Recruit, coach and retain high-quality engineering leaders and individual contributors. Establish clear ownership across backend, mobile, QA, infrastructure, security, data and AI engineering. Eliminate critical individual dependencies and create an accountable, transparent engineering culture.<br>Delivery, reliability and quality Improve engineering velocity without compromising platform stability. Establish measurable standards for release frequency, lead time, defect rate, availability and incident recovery. Strengthen QA automation across critical customer, chauffeur, payment, subscription, B2B and operational workflows. Implement effective code review, testing, deployment, rollback, observability and incident-response practices. Improve technical documentation and engineer onboarding.<br>AI-first engineering and mobility intelligence Establish AI-native development practices across coding, testing, review, documentation, debugging and internal tooling. Select and govern AI development tools with appropriate security, privacy and quality controls. Build capability in data engineering, AI engineering and MLOps. Partner with Product and Operations to convert high-value AI opportunities into reliable production systems. Lead initial priorities including automated software engineering and QA, ETA and demand forecasting, and pricing and supply planning.<br>Cloud, security and governance Own AWS and GCP architecture, availability, security and cost management. Establish strong identity, access, secrets and production-control policies. Ensure Zofeur maintains complete control over source code, infrastructure and critical third-party systems. Strengthen cybersecurity, privacy, business continuity and disaster recovery. Prepare the technology organisation for enterprise diligence, regional expansion and future compliance requirements.<br>Executive leadership Act as a strategic partner to the Founder and CEO and challenge priorities constructively. Translate company objectives into credible technology plans, budgets, trade-offs and timelines. Represent technology with the board, investors, strategic partners and enterprise customers. Build a culture of accountability, urgency, transparency and continuous improvement.<br>What success looks like Technology ownership has moved from founder-led decision-making to a clear, CTO-led operating model. Zofeur has a strong internal engineering core supported by carefully governed external capacity. Critical systems and responsibilities have documented owners and no material single-person dependencies. Release speed, reliability, defect rates and incident recovery are measured and materially improving. AI is embedded in everyday engineering delivery and selected mobility-intelligence use cases are operating in production. The technology organisation can support GCC expansion without proportionally increasing complexity or headcount.<br>Candidate profile The successful candidate will likely bring:Significant software engineering and technology leadership experience, typically 12 or more years, with evidence valued above tenure. Experience leading and scaling multidisciplinary engineering organisations. Strong architecture capability across cloud, backend, mobile, data and APIs. Experience with high-volume transactional, marketplace, logistics, mobility, delivery, fintech or consumer platforms. Direct exposure to real-time systems, location data, payments or operational platforms. Experience managing distributed internal teams and outsourced engineering partners. A record of recruiting, assessing and upgrading engineering talent. Practical experience implementing AI-assisted software development and production AI systems. Strong knowledge of QA automation, Dev Ops, observability, security and incident management. Commercial judgement and the ability to connect technical decisions to customer and business outcomes. The confidence and communication skills to work directly with founders and boards. Experience with PHP/Laravel, Swift, Kotlin, AWS, GCP, Redshift or mobility technology is advantageous but not mandatory. A previous CTO title is not required.<br>The working style we value Technically hands-on without becoming the team's bottleneck. Decisive, calm and low-ego, particularly during incidents and organisational change. Pragmatic about architecture and resistant to unnecessary rewrites or fashionable complexity. Comfortable challenging the CEO and leadership team, while remaining accountable for execution. Able to communicate difficult technical trade-offs in clear commercial language. Motivated by measurable customer and business outcomes rather than technology for its own sake.<br>Location and package This is a full-time, office-based position in Dubai. Zofeur offers a competitive executive package, meaningful equity participation and the opportunity to shape the technology foundation of a category-defining regional mobility company.<br>Important This role is designed for a builder. Candidates seeking a remote, advisory or delegation-only CTO position will not be a fit.

About Ode With Anthropic<br><br>How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?<br><br>Anthropic is defining frontier AI. Ode is the team bringing frontier AI into practice.<br><br>We are a team of experienced builders who care deeply about getting complex AI systems into production, with strong conviction about what makes them succeed. As Anthropic’s services venture, we tackle the hardest, most consequential AI problems for companies with real stakes, working closely with their Applied AI and Product teams to turn frontier technology into real world impact.<br><br>We're backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital.<br><br>We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai.<br><br>The Role<br><br>Our customers come to us with ambitious, often fuzzy goals — make content moderation faster, customer service cheaper and better, unlock new integrations, automate the workflows no one else can touch.<br><br>Your job is to turn those goals into AI-powered solutions that work in the real world, and to own the journey from first conversation to live system to real business impact.<br><br>This Is a Forward-deployed, Full-stack Customer Role<br><br>Part engagement manager — you're the primary face of Ode to the client. Part product manager — you decide what we build and why. Part delivery/program manager — you run the execution motion end-to-end. Part “do whatever it takes" operator — you jump into the gaps to keep things moving.<br><br>What You’ll Do<br><br>Own the customer relationship end-to-end. Act as the customer's day-to-day strategic partner and primary point of contact, building trust across all levels of the organization and being candid about tradeoffs. Shape what we build and why. Translate ambiguous business problems into crisp problem statements, user journeys, and success metrics — and work with customers to define what "success" actually means. Turn messy problems into shipped solutions. Translate ambiguous needs into clear requirements, PRDs, and plans for engineers. Shape workflows, edge cases, and evaluation criteria for AI-powered systems. Drive execution across multiple AI products. Run the day-to-day rhythm — planning, check-ins, risk tracking — and coordinate between customers, engineers, designers, and Ode teammates to keep work unblocked and on time. Help create demand, not just fulfill it. Jump on early, messy conversations where the project is still a vague idea. Help founders and sales tease out real pain, sketch solution approaches live, and spot expansion opportunities. Drive adoption and long-term impact. Work with client teams on rollout, enablement, and change management so the systems you build actually get used. Bring back insights that inform Ode's playbooks and product direction. Bring judgment and clarity. When requirements are fuzzy or customers change course, be the person in the room who can say: here's what we're trying to do, here's what we know, here's the plan.<br><br>What You Bring<br><br>Customer-facing, high-stakes experience. You've led projects where customers were under pressure, stakeholders weren't aligned, and the path wasn't obvious. You're comfortable pushing back, reframing the problem, and holding the line on quality. We typically look for 6-10 years in product, consulting, or implementations, although we care more about what you've done than the label on your resume. Real product and delivery experience. You've built and shipped products with engineers and designers across multiple cycles. You can run an execution rhythm — stand-ups, planning, tracking, retros — without turning it into process theater. -Structured problem-solving and communication. You ask good questions, structure chaos, and turn ambiguity into a plan — moving from whiteboarding with execs to writing a crisp doc for engineers without losing the plot. Bias for action and ownership. You roll up your sleeves and make things happen, whether that's writing a scrappy SQL query, drafting a support playbook, or jumping into a last-minute exec demo. - Comfort with ambiguity and intensity. You like high-energy environments, messy problems, and "we haven't done this before" projects. You can juggle multiple customers, keep priorities straight, and make good calls with incomplete information. AI curiosity, not AI Dogma. You don't need deep AI expertise on day one — you do need strong reasoning, a desire to learn fast, and a willingness to overuse AI in your own workflow.<br><br>How Ode Is Different<br><br>A typical PM here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.<br><br>Many PMs look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our team members think.<br><br>Our Values<br><br>Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. Overuse AI: We obsessively explore and experiment with Claude to push the frontier of applied AI and share what we learn with our teammates. Over”engineer” the Culture: We’re building a culture that attracts and retains top applied AI talent, and we stress test large decisions through the perspective of our world class builders.<br><br>Location<br><br>Dubai<br><br>Work Arrangement: 4 days in-person, Fridays remote<br><br>Benefits<br><br>???? Competitive Compensation Package: Attractive salary aligned with your experience ???? Unlimited PTO: Take the time you need to relax and rejuvenate.???? Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.???? Team Events and Activities: Regular events to build camaraderie and a strong team spirit.<br><br>Ready to join us?

Location<br><br>London, England<br><br>Employment Type<br><br>Full time<br><br>Location Type<br><br>Hybrid<br><br>Department<br><br>ANALYTICS & DATA SCIENCE<br><br>Compensation<br><br>£95K – £115K Offers Equity<br><br>Outlined above is a reasonable estimate of H&H’s compensation range for this role for UK-based candidates. If you're based outside of the UK, your recruiter will be able to provide you with an estimated salary range for your location.<br><br>The actual amount will take into account a range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.<br><br>Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors.<br><br>Overview Application<br><br>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.<br><br>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<br><br>About The Role:<br><br>As a Staff Data Scientist at Hims & Hers, you are a technical leader and a "force multiplier" for our data organization. You do not just solve the most difficult problems; you identify which problems are worth solving to move the needle for our customers. You will serve as a technical anchor, simplifying ambiguous problems into executable paths for the team.<br><br>In this role, you will bridge the gap between business strategy and production-ready machine learning. Whether you are building frameworks for growth, optimizing our supply chain, or refining marketing attribution, you will ensure our data products are technically sound, scalable, and built to deliver measurable business results.<br><br>You Will:<br><br>Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.<br><br>Experience & Skills:<br><br>8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, Num Py, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/Light GBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise<br><br> Preferred Qualifications:<br><br>0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following):Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.<br>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.<br><br>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.<br><br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.<br><br>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.<br><br>Compensation Range: £95K - £115K<br><br>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.<br><br>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<br><br>You Will:<br><br>Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.<br><br>Experience & Skills:<br><br>8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, Num Py, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/Light GBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise<br><br> Preferred Qualifications:<br><br>0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following):Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.<br>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.<br><br>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.<br><br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.<br><br>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.<br><br>Compensation Range: £95K - £115K<br><br>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.<br><br>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<br><br>You Will:<br><br>Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.<br><br>Experience & Skills:<br><br>8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, Num Py, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/Light GBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise<br><br> Preferred Qualifications:<br><br>0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following):Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.<br>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.<br><br>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.<br><br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.<br><br>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.<br><br>Compensation Range: £95K - £115K