Machine operator Jobs

<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

<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.</p><br><p>We are seeking an experienced and visionary <strong>Salesforce Delivery Manager / Director</strong> to lead the execution, governance, and client engagement for our enterprise-grade Salesforce transformation programs. In this role, you will be responsible for end-to-end program delivery, managing cross-functional technical teams, driving account growth, and acting as a trusted advisor to senior client executives (CXOs).</p><br><p>The ideal candidate brings a proven track record of delivering complex, multi-cloud Salesforce solutions (Sales, Service, Marketing, Commerce, Data Cloud) within large enterprise environments, combined with deep consulting leadership and delivery excellence.</p><br><strong>Key Responsibilities</strong><strong>1. Enterprise Program &amp; Delivery Management</strong><ul><li><p>Own end-to-end delivery of large-scale Salesforce implementations and transformation roadmaps from inception to post-launch adoption.</p><br></li><li><p>Define and enforce delivery governance, risk management frameworks, quality standards, and KPIs across all active programs.</p><br></li><li><p>Direct multi-disciplinary delivery teams (Project Managers, Solution Architects, Salesforce Developers, Business Analysts, and QA).</p><br></li><li><p>Manage portfolio financials, P&amp;L, resource utilization, budget tracking, and schedule variance across engagements.</p><br></li></ul><strong>2. Strategic Client &amp; Stakeholder Engagement</strong><ul><li><p>Serve as the single point of accountability and primary executive escalation point for key client stakeholders and CXOs.</p><br></li><li><p>Facilitate Steering Committee meetings, Quarterly Business Reviews (QBRs), and executive reporting to demonstrate ROI and value realization.</p><br></li><li><p>Build strong, trusted relationships with clients, aligning business goals with Salesforce technical execution.</p><br></li></ul><strong>3. Practice Leadership &amp; Solutioning</strong><ul><li><p>Collaborate with pre-sales and solution architecture teams to define delivery scope, effort estimation, Statement of Work (SOW) drafting, and multi-vendor alignment.</p><br></li><li><p>Identify growth opportunities within existing accounts (upsell and cross-sell) to expand the Salesforce footprint.</p><br></li><li><p>Champion Agile, Scrum, and modern release management methodologies across the delivery organization.</p><br></li><li><p>Mentor and coach delivery leads and project managers to build a high-performing practice.</p><br></li></ul><strong>Requirements &amp; Qualifications</strong><ul><li><p><strong>Experience:</strong> 10 to 15+ years of overall IT delivery/consulting experience, with at least <strong>6–8+ years dedicated to leading enterprise Salesforce programs</strong>.</p><br></li><li><p><strong>Track Record:</strong> Proven history of leading multi-cloud Salesforce transformations (Sales Cloud, Service Cloud, Marketing Cloud, Experience Cloud, Data Cloud/Integration) for major enterprise clients.</p><br></li><li><p><strong>Consulting Background:</strong> Prior experience in top-tier management or technology consulting firms (e.g., Big 4, System Integrators) is strongly preferred.</p><br></li><li><p><strong>Methodology:</strong> Deep expertise in Agile/Scrum, Hybrid, and Waterfall project management frameworks, with hands-on proficiency in Jira, Confluence, and MS Project.</p><br></li><li><p><strong>Domain Exposure:</strong> Background across industries such as Financial Services, Government, Real Estate, Retail, or Telecom is a plus.</p><br></li><li><p><strong>Education:</strong> Bachelor’s degree in Computer Science, Information Technology, Business Administration, or related field.</p><br></li></ul><strong>Preferred Certifications</strong><ul><li><p><strong>Project Management:</strong> Project Management Professional (PMP), Program Management Professional (PgMP), or Professional Scrum Master (PSM / CSM).</p><br></li><li><p><strong>Salesforce:</strong> Salesforce Certified Administrator, Platform App Builder, or Salesforce Certified Consultant (Sales/Service/Marketing Cloud).</p><br></li></ul><p>This job can be filled in <strong>Dubai</strong>.</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.</p><br><p>We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.</p><br><p>Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here:&nbsp;Globant Experience Guide.</p><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>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>

<p>The Senior Systems Specialist is responsible for the design, administration, operation, and continuous improvement of enterprise infrastructure across virtualization, Windows and Linux platforms, directory and network services, storage, backup, server hardware, and data center environments. The role ensures that infrastructure services are secure, resilient, scalable, well documented, and aligned with business continuity, availability, and performance requirements.</p><br><br><ul><li><p>Virtualization & Compute: Design, implement, administer, and optimize VMware environments, including ESXi hosts, vCenter Server, clusters, High Availability, Distributed Resource Scheduler, vMotion, virtual networking, templates, snapshots, and virtual machine lifecycle management. Windows Infrastructure: Install, configure, patch, harden, monitor, and troubleshoot Windows Server operating systems across production, disaster recovery, testing, and development environments. Identity & Core Services: Administer Active Directory Domain Services, including forests, domains, organizational units, users, groups, service accounts, delegation, replication, trusts, and domain controller health. DNS, DHCP & Group Policy: Configure, maintain, and troubleshoot DNS zones and records, DHCP scopes and reservations, IP address allocation, and Group Policy Objects, including security baselines and controlled policy deployment. Linux & Red Hat Platforms: Support Red Hat Virtualization and Linux operating systems, including installation, configuration, patching, services, permissions, file systems, performance monitoring, and incident resolution. Storage Management: Administer enterprise SAN, NAS, block, file, and object storage where applicable. Perform LUN and volume provisioning, zoning coordination, RAID configuration review, multipathing, capacity forecasting, performance analysis, replication, and storage lifecycle management. Backup & Recovery: Operate and maintain enterprise backup solutions; define and monitor backup policies, retention, replication, encryption, and recovery jobs; perform regular restore tests; and ensure alignment with approved RPO and RTO targets. Data Center Management: Coordinate rack-and-stack activities, cabling, labeling, asset placement, power and cooling requirements, environmental monitoring, access controls, capacity utilization, equipment movement, and coordination with facilities and service providers. Hardware Specifications: Review and validate server and storage hardware specifications, including CPU architecture and sizing, memory configuration, disks and SSDs, RAID controllers, HBAs, NICs, GPUs where applicable, power supplies, firmware, supportability, compatibility matrices, and vendor lifecycle status. Operations & Support: Monitor infrastructure health, availability, utilization, capacity, and performance; provide Level 3 technical support; lead root cause analysis; and implement permanent corrective and preventive actions. Lifecycle, Security & Compliance: Plan and execute upgrades, patching, firmware updates, vulnerability remediation, configuration hardening, certificate renewal, and end-of-life or end-of-support replacement activities. Documentation & Collaboration: Maintain architecture diagrams, build documents, standard operating procedures, recovery procedures, configuration records, asset inventories, and operational reports. Collaborate with network, cybersecurity, cloud, application, database, and vendor teams.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required Technical Competencies · Advanced hands-on experience with VMware vSphere, ESXi, vCenter Server, clustering, HA, DRS, vMotion, virtual networking, and capacity management. · Strong expertise in Windows Server administration, troubleshooting, performance tuning, patching, and security hardening. · Deep knowledge of Active Directory, DNS, DHCP, Group Policy, authentication, permissions, replication, and enterprise identity services. · Strong understanding of enterprise storage technologies, including SAN/NAS, Fibre Channel or iSCSI, RAID, LUNs, zoning concepts, multipathing, snapshots, replication, and capacity planning. · Hands-on experience with enterprise backup and recovery platforms such as Veeam, Commvault, Veritas NetBackup, Dell PowerProtect, or equivalent. · Working knowledge of Red Hat Virtualization and Linux administration, including command-line operations, services, networking, storage, permissions, and patching. · Practical knowledge of data center operations, server deployment, structured cabling, power, cooling, environmental controls, physical security, and asset management. · Ability to interpret and validate technical specifications, solution designs, bills of materials, compatibility matrices, vendor quotations, and support requirements. · Experience with monitoring, alerting, logging, service management, change management, incident management, problem management, and disaster recovery processes. · Understanding of infrastructure security controls, vulnerability remediation, privileged access, backup security, segmentation, and audit requirements. Qualifications & Experience · Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related discipline; equivalent professional experience may be considered. · Minimum 7 years of progressive experience in systems administration, infrastructure operations, virtualization, storage, backup, or data center services, including at least 2 years in a senior technical role. · Demonstrated experience supporting highly available, business-critical enterprise environments and participating in planned maintenance and on-call support when required. · Experience in government, regulated, cloud, or large-scale data center environments is an advantage. Skills VMware vSphere Windows Server Active Directory</p></li></ul>

<ul><li><p>We are looking for an experienced AI Architect responsible for architecting enterprise-wide Generative AI and Agentic AI capabilities across banking systems. The role will define target architecture, integration patterns, standards, reference implementations and reusable building blocks for full-fledged AI chat assistants, autonomous agents and multi-agent workflows. The AI Architect will lead end-to-end architecture for agentic retail banking journeys such as payments, transfers, servicing, self-service fulfilment and customer assistance, ensuring secure integration with enterprise APIs, middleware, core banking platforms and customer-facing channels across web and mobile. This role requires deep hands-on AI engineering capability, strong banking domain understanding, practical delivery experience with multiple production-grade banking agents, and the ability to collaborate with product, engineering, infrastructure, cybersecurity, data, governance and enterprise architecture teams to present and align designs through ARB.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum Qualification</p><ul><li><p>Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science or a related discipline.</p></li><li><p>Relevant certifications in cloud architecture, AI engineering, security architecture, enterprise architecture or machine learning are preferred.</p></li></ul><p>Minimum Experience</p><ul><li><p>Senior technology professional with around 12+ years of experience across software engineering, architecture, cloud/platform engineering and enterprise solution delivery.</p></li><li><p>Minimum 4+ years of hands-on AI engineering or AI architecture experience, including Generative AI, LLM applications and Agentic AI solutions.</p></li><li><p>Proven experience architecting and delivering multiple banking agents or full-fledged banking chat assistant capabilities integrated with enterprise systems.</p></li><li><p>Strong understanding of banking systems, retail banking journeys, payments, transfers, servicing, customer self-service, operational controls and regulatory/security considerations.</p></li><li><p>Full AI Engineer capability including Python, API integration, microservices, event-driven design, RAG implementation, model/agent evaluation and cloud-native deployment practices.</p></li><li><p>Hands-on experience with agent frameworks and orchestration platforms such as Microsoft Semantic Kernel, AutoGen, LangChain, LangGraph and similar frameworks.</p></li><li><p>Experience architecting MCP servers, tool integration layers, agent-to-agent communication, UI integration patterns and agent interoperability protocols such as MCP, A2A and A2UI.</p></li><li><p>Strong experience with Azure AI services, Azure OpenAI Service, AWS AI services, Amazon Bedrock and related model deployment/management capabilities.</p></li><li><p>Experience designing secure AI systems with zero trust principles, identity and access controls, data protection, secure API design, PII redaction and privacy-by-design controls.</p></li><li><p>Experience presenting solution architecture, trade-off analysis, ADRs and architecture recommendations to ARB or equivalent architecture governance forums.</p></li><li><p>Experience recommending infrastructure architecture for AI platforms including compute, Kubernetes, serverless, vector databases, observability, monitoring, data pipelines and connectivity.</p></li><li><p>Strong capability to collaborate with engineering, product, cybersecurity, infrastructure, operations, data, compliance and enterprise architecture teams.</p></li></ul></li></ul><br><p>Key Technical Skills</p><ul><li><p>Enterprise Agentic AI architecture, multi-agent systems, autonomous workflows, human-in-the-loop design and full-fledged chat assistant architecture.</p></li><li><p>LLMs, prompt engineering, context engineering, memory design, tool/function calling, agent orchestration, model/agent evaluation and cost/latency optimization.</p></li><li><p>RAG architecture, semantic indexing, embeddings, vector databases, retrieval optimization, reranking, grounding, answer relevancy and explainability patterns.</p></li><li><p>MCP server architecture, tool registries, multi-tool integration, A2A, A2UI, agent interoperability protocols and AI ecosystem design.</p></li><li><p>Azure AI, Azure OpenAI, AWS AI services, Amazon Bedrock, Kubernetes, serverless, microservices, APIs, event-driven architecture and observability.</p></li><li><p>Security architecture for AI systems including zero trust, PII redaction, data masking, privacy controls, guardrails, secure logging and auditability.</p></li></ul><p>Behavioural / Leadership Skills</p><ul><li><p>Strategic architecture thinking with the ability to define enterprise standards, influence platform direction and simplify complex technical decisions.</p></li><li><p>Strong stakeholder communication with the ability to present architecture options, risks, trade-offs and recommendations to senior leadership and ARB forums.</p></li><li><p>Collaborative leadership style with the ability to work across business, product, engineering, cybersecurity, data and infrastructure teams.</p></li><li><p>Hands-on problem-solving mindset, pragmatic decision making, ownership, mentoring capability and commitment to high-quality secure delivery.</p></li></ul><p>Technical Competencies</p><ul><li><p>Enterprise Agentic AI architecture and banking-grade AI ecosystem design.</p></li><li><p>Retail banking agent architecture for payments, transfers, servicing and self-service workflows.</p></li><li><p>RAG, memory, context engineering, evaluation, tool orchestration and MCP server architecture.</p></li><li><p>AI security architecture, zero trust, PII redaction, guardrails, auditability and governance.</p></li><li><p>Azure and AWS AI services, cloud-native infrastructure, Kubernetes, serverless and observability for agent platforms.</p></li><li><p>Architecture documentation, ADR creation, ARB presentation and cross-team design governance.</p></li></ul><p>Skills</p><p>AI Architecture</p><p>LLMs</p><p>Azure AI</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE.<br> Connecting millions of users across the country, we are committed to delivering the best online search experience.<br> As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market.<br> With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.<br> As a Senior Data Analyst, you will be in a central position, evangelising data and our methodologies to other functional analysts and stakeholders across the company.<br> You will have close interaction with teams in marketing, sales, finance, and product.<br> In this role, you will: Access data, construct, and manipulate large datasets to support planned analyses using SQL, Python, and similar tools.<br> Design and develop BI dashboards with Sisense or similar tools (Tableau, Power BI, Data Studio) for various organisational metrics and indicators, applying best practices and industry standards across finance, sales, inventory, and other areas.<br> Conduct full lifecycle analysis to include requirements, activities and design.<br> Define KPIs and metrics, and drive data governance through standardisation and communication.<br> Create the documentation and presentation for the management.<br> Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements.<br> Adept at queries, report writing and presenting findings.<br> Research and validate entity data using appropriate internal and external data sources.<br> Validate entity reference data in a central account database.<br> Responsible for exception management, reconciliation, and reporting.<br> Liaise and perform analysis across projects within the Reference Data environment.<br> Analyse, identify specifications, test, and implement interfaces, workflow solutions, and reference data solutions – for example, regression testing systems ahead of upgrades.<br> Take ownership of allocated work throughout its entire life cycle.<br> Develop new models to address business needs and identify and implement improvements to existing solutions; projects are diverse and can take several forms (e.<br>g., simulation, linear/non-linear optimisation, prediction, machine learning).<br> Participate in the design, implementation, and interpretation of experiments and trials to continuously refine ongoing strategies.<br> Responsible for data quality and the timely delivery of reports that make common business sense.<br> Create and maintain documentation for analytics, tools, and processes to ensure effective transition to the end user.<br> Prepare and deliver Data Analytics &amp; Reporting training to evangelise data across the organisation.<br> Be able to work autonomously without supervision on complex projects.<br> A fast paced, high performing team.<br> Multicultural environment with over 60 different nationalities Competitive Tax-free Salary Comprehensive Health Insurance Annual Air Ticket Allowance Employee discounts at multiple vendors across the emirates Rewards &amp; Recognitions Learning &amp; Development Bayut &amp; dubizzle is an equal opportunity employer.<br> We celebrate diversity and are committed to creating an inclusive environment for all employees.<br> #UAEdubizzle Bachelor’s degree in statistics, mathematics, computer science, or a related field.<br> A master's degree is a plus.<br> 6+ years of work experience in analytics, having closely worked with product and commercials in an internet/e-commerce company.<br> Experience in e-commerce, internet and/or digital media.<br> Experience building, implementing and/or maintaining predictive models on very large datasets.<br> Proficient in SQL.<br> Proficient in Microsoft Excel.<br> Skills in Python, R or similar tools are a big plus.<br> Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc).<br> Excellent analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations.<br> Ability to collect, organise, analyse, and disseminate significant amounts of information.<br> with attention to detail and accuracy.<br> Storytelling skills.<br> Written and verbal proficiency in English.<br> Proactive and passionate: You are independently capable of seeking information, solving conceptual problems and delivering high-quality results in challenging situations.<br> Passion for data and metrics.<br> Hands-on attitude and the ability to thrive in a fast-paced environment.<br> Highly motivated, professional and creative.<br> Analytical thinking; Conceptual thinking; Detail-oriented; Business Acumen.<br> Strong curiosity and a striving for continuous learning.<br> Ability to work in a high-paced environment that is professional, international and entrepreneurial.<br> Living the team values: Simpler.<br> Better. Faster.</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Provide maintenance and repair to Company's equipment to ensure that assigned equipment is kept in efficient working condition in compliance with the Company's quality standards and manufacturers. To safely operate casing/tubing tongs and maintain spare parts relevant to equipment operation and maintenance</p> Nabors is a leading provider of advanced technology for the energy industry. With operations in about 20 countries, Nabors has established a global network of people, technology and equipment to deploy solutions that deliver safe, efficient and responsible hydrocarbon production. By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.<br><div> <br> </div> <div> <b>Equal Opportunity Employer</b> </div> <div> <br> </div> <div> Nabors is committed to providing equal employment opportunities to all employees and applicants and prohibiting discrimination and harassment of any type without regard to race, religion, age, color, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. To learn more about our Fair Employment practices, please refer to the Nabors Code of Conduct .<br></div> <ul> <li>Qualifications in Mechanical or Electronic Applications or past experience rig operation or casing and tubing running activity</li> <li>Knowledge of oil &amp; Gas products, services and equipment</li> <li>The physical ability to immediately respond to emergency situation</li> <li>Mechanical aptitude and basic understanding of hydraulic and mechanical /electronic system</li> </ul> <p> </p> <ul> <li> <p>To safely and satisfactory perform any given casing/tubing tong assignment</p> </li> <li> <p>Understand the operation and routine maintenance requirements of all tubular handling and clearing equipment</p> </li> <li> <p>Have sound knowledge of quality procedures and work instructions and initiate changes to such as required, to be able to perform jobs efficiently and safely</p> </li> <li> <p>Understand routine and specific maintenance procedures as they relate to power tongs and power units</p> </li> <li> <p>Must be able to independently and trouble shoot all tubular handling and cleaning equipment</p> </li> <li> <p>Preparation of accurate delivery tickets, job reports, time sheets and other similar administrative forms</p> </li> <li> <p>Must be able to prepare and dispatch equipment according to checklist procedures</p> </li> <li> <p>Assist maintenance supervisor with special maintenance assignments and perform pipe yard duties as necessary</p> </li> <li> <p>Must have an extensive knowledge of the Company's products and services</p> </li> <li> <p>Act as trainer for Service Technicians I &amp; II</p> </li> <li> <p>An extensive operational and maintenance knowledge of all Company equipment including but not limited to Hydro test, compressors, pipe cleaning machine, etc. is essential</p> </li> <li> <p>Able to operate pipe yard equipment such as cleaning and bucking machines</p> </li> <li> <p>When stand by, keep in contact with the Operation Supervisor / Coordinator and stay in contact by means of telephone</p> </li> <li> <p>Report any accident, incidents or near-miss incidents in accordance with the company's HSE Manual. Attend monthly HSE meetings and initiate changes to existing HSE procedures or initiate new procedures if deemed necessary</p> </li> <li> <p>Perform other assignments as directed by supervisory personnel</p> </li> <li> <p>Responsible for QHSSE and EEP operations for its relevant functions</p> </li> <li> <p>ITS operates an Integrated Management System (IMS) at all operational facilities to meet their business, legal and moral HSEQ obligations. All personnel are required to work in full compliance with the requirements set out in the ITS Group IMS, this will include as a minimum</p> </li> <li> <p>Ensuring that work is carried out in compliance with company Quality, Health Safety and Environmental policies and procedures</p> </li> <li> <p>Not undertaking any task for which authorization and/or training has not been given</p> </li> <li> <p>Ensuring the highest standard of workmanship produced is in accordance with the company expectations and as per customer, regulatory standards and specification</p> </li> <li> <p>Promoting good health, safety and environmental practices throughout all company activities</p> </li> <li> <p>Wearing the assigned Personal Protective Equipment required</p> </li> <li> <p>Taking care to prevent harm to themselves, colleagues and others and the environment that may be caused by our acts or omissions</p> </li> <li> <p>Keeping the work area neat, organized &amp; free of trip and other hazards</p> </li> <li> <p>Reporting hazards in plants, equipment and other workplaces, or shortcomings in the existing controls, to a superior without delay</p> </li> <li> <p>Supporting continual improvement of the integrated management system by expressing better and safer ways to perform tasks and improve policies and procedures</p> </li> <li> <p>Participating in HSEQ training required to meet minimum identified for position undertaken</p> </li> <li> <p>Attending Toolbox Talks, HSEQ meetings and trainings as and when required</p> </li> </ul></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.<br> For over 50 years, we’ve been energizing our clients across the world with unrivaled expertise, equipment, and technology that supports the entire asset life cycle – offshore and on land.<br> We enable progress through our three global business lines: Energy Solutions, Infrastructure &amp; Industrial Solutions, and Lifting Solutions.<br> Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline, subsea, process, and valves – all designed to help you optimize performance, enhance reliability, and improve efficiency.<br> With a focus on operational excellence, we deliver value through our customized integrated solutions.<br> This approach reduces risk and enhances efficiencies, making us a leading and trusted partner every step of the way.<br> Diversity &amp; Inclusion EnerMech is dedicated to fostering a diverse and inclusive organization.<br> We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.<br> The Role? The primary responsibility is to support the deck &amp; lifting operations on the client platform as per company processes and procedures and demonstrate safety leadership and continuous development in all aspects of crane, lifting, and support service activities.<br> Main Responsibilities &amp; Key Result Areas Lifting AP shall perform and be responsible for the following: - Is designated to prepare lift plan &amp; procedure as per client &amp; company standard.<br> Is designated as being in charge of planning, coordinating, controlling and executing the lift.<br> Be responsible for coordinating CONTRACTOR's Riggers to conduct all vessel lifts and those on the platform as directed by Crane Supervisor or COMPANY personnel Ensures that people involved are competent for performing their task, aware of the task and procedures to be followed, and aware of their responsibilities.<br> Briefs people involved in or affected by the lift.<br> Ensure all necessary test certificates and other documents are available Shall be responsible for the management of client / COMPANY- owned and supplied loose lifting equipment.<br> Be fully trained and conversant with loose lifting equipment rigging loft management procedures i.<br>e. maintain a lifting equipment data base &amp; issuance register consisting of the following; I.<br> Inventory of equipment.<br> II. Test certificate.<br> III. Damage loss report register Booking in &amp; out sheets detailing the name of person using equipment, date of issue, description etc.<br> In line with clients / COMPANY's Bi-annual lifting equipment campaign assist TPI with inspection &amp; recertification of lifting equipment.<br> Carry out Banking/Signalman duties as and when required.<br> Ensures the lift is carried out following the plan.<br> Suspends the lift if changes or conditions (eg, wind) occur that would cause a deviation from the plan.<br> Plan and risk assess all routine and up to non-routine complicated crane-lifting operations associated with the day-to-day running of the client / COMPANY platforms.<br> Supervise all lifting operation on client / COMPANY platforms, including non-routine complex lifts.<br> once approved by Integrity Division.<br> Selecting the correct crane and accessories for the specific task.<br> Checks that load integrity and stability are satisfactory; Ensure all other statutory requirements and any necessary work permit are in place .<br> Identify all hazards and restricted areas.<br> Emergency Procedures in case of damage or impairment to the crane during operation, and for safe recovery of the crane to a holding location on the installation.<br> Ensuring that the person directing crane movements (Signaller / Banksman) is readily identifiable to the crane operator by wearing high visibility clothing or distinguishing markings.<br> Shall allow for concurrent or simultaneous operations that may affect or be affected by the lift, eg, helicopter operations, ballast control, other cranes.<br> Checks that there is no deviation from standards for routine lifts.<br> Ensuring that the workplace is provided with adequate lighting for night lifting.<br> Complete reports, lifting operation risk assessments, logs and other documentation, as required.<br> Ensure competent supervisor is available should the Appointed Person delegate his duties of part thereof to others Have sufficient general engineering knowledge of loose lifting equipment to carry out daily inspection routines.<br> Ensures that the lifting equipment is maintained, examined and appropriate for use.<br> Carry out platform emergency duties under the direction of nominated personnel.<br> Be multi-skilled in other platform duties including operating of firefighting equipment and undertaking fire standby and deck duties, when required.<br> The Appointed person can delegate his duties to competent personnel however the responsibility is still with the Appointed Person.<br> The Appointed person has the authority to stop operations where danger is likely to arise if operations continue.<br> Be at least 32 years of age and above.<br> Have at least 3 years Diploma in Mechanical Engineering or equivalent.<br> Knowledge of AutoCAD &amp; MS Office are mandatory.<br> Shall have ADNOC Training center approved certification.<br> Have relevant oil &amp; gas offshore and onshore lifting-related experience of not less than 10 years in the same area of application with 5 years in a similar position.<br> Have adequate training and hands on professional experience and be competent to act as an Appointed Person for lifting equipment.<br> Shall be able to write Lifting plans, and supervise and execute critical lifting in oil &amp; gas companies.<br> Have focus on HSE priorities and lead a team for Safe Lifting Practices across different locations of the organization.<br> Familiar with international standard related to Lifting engineering practices with sufficient knowledge in interpretation and to bring excellence in Change management.<br> Valid OGUK Medical Certificate, BOSIET &amp; H2S.<br> Preferred: Shall have LEEA-UK qualifications "Entry Exam" and 4 day Appointed Person (Supervisor) course by approved Company Training Company.<br></span> </div>

<br> <p><b>PRIMARY RESPONSIBILITIES:</b></p> <p>Guest Service Responsibilities<br> The Service Center Agent is working in a central area because she/he receives all the calls from outside the hotel and coordinates the internal calls.<br> The Service Center Agent must ensure that all tasks performed are procedurally correct, timely and of a consistently quality.<br> The Service Center Agent must ensure that through personal presentation, telephone manner, effective and efficient work practices and guest service standards, that guests and callers first impression of Hotel is a lasting one of genuine warmth and friendliness and of high standards.<br> Follow up: The Service Center Agent will act quickly and efficiently, following the guest requests and instructions received by her/his supervisor.<br> Telephone transfers: The Service Center Agent will be attentive to all guest requests and will ensure his/her entire satisfaction the service provided. She/he will ensure to transfer a call to the right person; he/she will introduce the person on line before to hang off. The Service Center Agent must know by heart all the telephone extensions of the Hotel in order to be more efficient.<br> Privacy: The Service Center Agent will be attentive to respect the privacy/confidentiality of the information, or guest names available at the operator room. He/she will ensure not to transmit any guest name, or guest history information.<br> Wake-Up Calls: The Service Center Agent will ensure that any wake-up call requested by a guest is performed at the exact time according to the established procedure.<br> Guest Messages: The Service Center Agent will be attentive when they receive a message for a guest to take all the information and record them carefully. She/he well ensures that the guest has well received the message with full information.<br> Calls Handling: The Service Center Agent is responsible to ensure that all phone calls are answered within 3 rings; he/she will then find the polite and tactful way to keep on hold a guest when it is required.<br> Guest Knowledge: The Service Center Agent must have a good knowledge of the Sofitel So Bangkok guests, especially all the VIP and will mention their name on the phone as often as possible.</p> <p>Technical Responsibilities<br> Organization: She/he will ensure that Service Centre Room is perfectly tidy at any time.<br> F&amp;B Knowledge: The Service Center Agent has to ensure his/her full knowledge about the hotel outlets and menus. . The Solution Centre Officer must know on a daily basis the dishes of the day and have a good knowledge of Room service menu with all characteristics.<br> F&amp;B Order: The Service Center Agent will be attentive to get all details of a Room Service order, asking the accurate questions. All will be carefully recorded in a logbook and the full details will be given to the Room Service staff. The Service Center Agent will then ensure that the order is sent on time and reconfirm with the guest if it is reaching his expectations<br> Housekeeping Follow up: He/she will as well answer all guest requests regarding the housekeeping issues. He/she will then ensure that he/she understands properly the request and will record the full details in the Logbook. The Service Center Agent will then ensure that the request has been followed up on time and will reconfirm with the guest that the proper follow up has been made.<br> Communication: She/he will be attentive on all information received during the Supervisor briefing. She/he will be active and dynamic in participating in these different discussion opportunities. During his/her shift, she/he will report quickly any problem or question to her/his supervisor. The Service Center Agent will read the Service Center Agent logbook at the beginning of shift, follow up and keep it updated during his/her shift. Any problem or complaint must be recorded by the The Service Center Agent right away.<br> Handover: Each end shift, The Service Center Agent will give a full handover to The Service Center Agent of the following shift regarding the activity &amp; pending issues to be followed.<br> Security Issues: The Service Center Agent has an important role to play in terms of security; he/she has to know by heart all security procedures established and to be able to act accurately if it is required.<br> To ensure that all the standards and procedures established at the Hotel are reached successfully and permanently.</p> <p>OTHERS</p> <p> Continuous learning through own IDP.<br> Any other duties as may be assigned by the superior.</p> <p>ACCOUNTABILITIES</p> <p> Represents Dusit s brand and its values at all times. We will establish relationships and foremost and we will deliver an exceptional guest experience and promote Thai graciousness.</p> <p>COMPANY S CULTURE</p> <p> Communicate and fully embracing the Company s culture (our Vision, our Mission and our Values), leads by example and cascade to all your subordinates. Proud to belong and to contribute </p> <p>CONFIDENTIALITY</p> <p> Ensure confidentiality and secure storage of all intellectual property and data bases, both hard copy and electronic. Adhere to Dust Internet and E-mail policy. Ensure Hotel, Customer and Staff information or transactions are kept confidential during or after employment with the company.</p> <p>JOB REQUIREMENT </p> <p>1. Bachelor degree in Hotel Management or any relevant discipline<br> 2. Minimum of 2 years in Call Center experience, preferably in a hospitality business<br> 3. Knowledgeable both in Call Center operation and technical<br> 4. Have excellent English communication skills both in written and spoken posses professional disposition with excellent communication and interpersonal skills</p>