electrical engineer

mechanical engineer

project engineer

planning engineer

ai engineer

hvac design engineer

Worley

<div>About us
Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
Job Purpose
The Specialist HVAC Engineer is responsible for providing specialist engineering support for the design, review, coordination, and execution of HVAC systems for offshore oil and gas facilities. The role involves ensuring that all HVAC engineering activities comply with ADNOC standards, international codes, project specifications, safety requirements, and project quality objectives throughout the FEED and EPC phases.
Key Responsibilities
<ul><li>Perform and review HVAC engineering deliverables for offshore oil and gas facilities during FEED and EPC phases.
</li><li>Review contractor HVAC designs, calculations, specifications, equipment data sheets, and technical bid evaluations.
</li><li>Ensure HVAC systems comply with ADNOC standards, ASHRAE, SMACNA, NFPA, API, ISO, and other applicable international codes.
</li><li>Review HVAC load calculations, ventilation studies, equipment sizing, duct routing, pressurization philosophy, and smoke management systems.
</li><li>Coordinate with Process, Mechanical, Electrical, Instrumentation, Civil/Structural, Architectural, Safety, and Construction disciplines to ensure integrated engineering solutions.
</li><li>Participate in HAZID, HAZOP, SIL, Constructability, Model Reviews, and Design Reviews.
</li><li>Review vendor documents and provide timely technical comments and approvals.
</li><li>Support procurement activities by reviewing technical queries, bid evaluations, and vendor offers.
</li><li>Provide technical support during construction, installation, commissioning, and start-up activities.
</li><li>Review engineering changes, deviations, concession requests, and technical clarifications.
</li><li>Monitor engineering progress, identify risks, and recommend mitigation measures.
</li><li>Ensure compliance with project schedules, quality standards, and HSE requirements.
</li><li>Support FAT, SAT, pre-commissioning, commissioning, and project handover activities.
</li><li>Provide technical guidance and mentorship to junior engineers when required.
</li></ul>Minimum Qualifications
<ul><li>Bachelor's Degree in Mechanical Engineering or an equivalent engineering discipline from an accredited university.
</li><li>Professional Engineering certification or Chartered Engineer status is preferred.
</li></ul>Experience
<ul><li>Bachelor&rsquo;s degree in relevant engineering discipline or equivalent, from an accredited university; or a minimum of fifteen (15) years of relevant experience in the Oil &amp; Gas or Petrochemical industry.
</li><li>Must have at least five (5) years of experience in a similar position on mega Oil &amp; Gas or Petrochemical projects.
</li><li>Minimum 5 years of experience working in the GCC region is required
</li><li>Proven experience in both FEED and EPC project execution.
</li><li>Offshore project experience is required.
</li><li>ADNOC offshore experience is required.
</li><li>Previous experience in a PMC environment is preferred.
</li></ul>Technical Competencies
<ul><li>Offshore HVAC design and engineering.
</li><li>HVAC load calculations and equipment sizing.
</li><li>Hazardous area ventilation design.
</li><li>Pressurized HVAC systems.
</li><li>Smoke management and life safety systems.
</li><li>HVAC equipment specification and vendor document review.
</li><li>Technical bid evaluation.
</li><li>Engineering calculations and design verification.
</li><li>Multidisciplinary engineering coordination.
</li><li>Commissioning and start-up support.
</li><li>Knowledge of ASHRAE, SMACNA, NFPA, API, ISO, and ADNOC Engineering Standards.
</li></ul>Behavioral Competencies
<ul><li>Strong technical and analytical skills.
</li><li>Excellent communication and stakeholder management abilities.
</li><li>Strong planning and organizational skills.
</li><li>Problem-solving and decision-making capability.
</li><li>Ability to work effectively in multidisciplinary and multicultural teams.
</li>Commitment to safety, quality, and continuous improvement. 
<li>
 
</li></ul>Moving forward together 
 
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.
<div>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</div></div>

Specialist HVAC Engineer

NorthBay Solutions

<div><h1 class="jobSectionHeader">Full Stack Engineer</h1>
 Location: Abu Dhabi, UAE 
Employment Type: Full-time<h2 class="jobSectionHeader">
 Job Summary</h2>
NorthBay is seeking a Full Stack Engineer with strong expertise in modern front-end and backend technologies, particularly JavaScript/TypeScript, React, Node.js, and Nest.js. The role involves designing, developing, and maintaining scalable full-stack applications for AI-driven platforms, with a strong focus on performance, clean architecture, maintainability, security, and seamless user experience.
The ideal candidate will have hands-on experience building responsive front-end applications and robust backend services using Node.js/Nest.js, developing RESTful APIs, integrating databases and third-party services, and collaborating closely with ML engineers, backend developers, and product/design teams.
Experience working with AI/LLM platforms and AI API integrations is highly desirable.<h2 class="jobSectionHeader">
Key Responsibilities</h2> 
 Design, develop, and maintain scalable full-stack web applications using React, Next.js, TypeScript, Node.js, and Nest.js.<ul><li>Build responsive, accessible, and high-performance front-end applications using modern frameworks and reusable components.</li><li>Develop scalable and secure backend services, APIs, and microservices using Node.js and Nest.js.</li><li>Design and implement RESTful APIs and integrate third-party services and AI APIs.</li><li>Work with databases and data-access layers, ensuring efficient queries, data integrity, and scalability.</li><li>Implement authentication, authorization, security controls, and role-based access where required.</li><li>Collaborate closely with ML engineers, product managers, designers, and other engineering teams to deliver intuitive AI-powered applications.</li><li>Integrate AI/LLM capabilities into web applications, including real-time model outputs and AI-powered workflows.</li><li>Optimize application performance across both front-end and backend layers.</li><li>Build reusable components, services, and design patterns that improve maintainability and development efficiency.</li><li>Participate in architectural discussions, code reviews, technical planning, and engineering best practices.</li><li>Contribute to automated testing, documentation, CI/CD pipelines, and deployment processes.</li><li>Troubleshoot production issues and identify opportunities for improving application reliability, scalability, and performance.</li><li>Mentor junior engineers and contribute to a collaborative engineering culture.</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Qualifications</h2><ul><li> 
5+ years of full-stack development experience with strong command of JavaScript and TypeScript.</li><li>Strong hands-on experience with React and modern front-end frameworks such as Next.js, Vue.js, or similar.</li><li>Strong backend development experience with Node.js and Nest.js.</li><li>Experience designing and developing RESTful APIs and backend services.</li><li>Strong understanding of backend architecture, API design, authentication, authorization, and security best practices.</li><li>Experience working with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or similar.</li></ul> 

VdJnUXaMRL</div>

Full Stack Engineer

GREAT MISSION HUMAN RESOURCES CONSULTANCY

An electrical engineer designs and develops, tests, and oversees the installation of electrical equipment, components, and systems.<ul><li>Design and Development: Create electrical circuits, power distribution networks, and electronic devices using computer-aided design (CAD) software.</li><li>Testing and Quality Control: Inspect and test systems to find problems, ensure safety, and improve efficiency.</li><li>Project Management: Estimate project costs, write technical reports, and manage budgets and timelines.</li><li>Installation and Maintenance: Oversee the setup and repair of electrical equipment in buildings, or power stations.</li><li>Compliance: Follow local and international safety codes and engineering standards.</li></ul>Job Requirements<ul><li>Education: A bachelor's degree in electrical engineering</li><li>Technical Skills: Knowledge of electrical systems, circuits, and testing tools.</li><li>Software: Experience with design programs like AutoCAD or circuit simulation tools.</li><li>Communication: Ability to work with clients, contractors, and other team members.</li></ul>Pay: AED5,000.00 - AED6,000.00 per hourWork Location: In person

Electrical Engr

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions across complex and large-scale business environments. The ideal candidate will have a strong software engineering background combined with deep expertise in modern AI technologies, Retrieval-Augmented Generation (RAG), LLM integrations, and enterprise system connectivity. This role requires someone who has successfully delivered AI-enabled products within complex organizations, integrating multiple business systems, cloud services, and data platforms while maintaining scalability, security, and performance.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and develop AI-powered applications using modern LLM frameworks and OpenAI technologies.
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) solutions leveraging structured and unstructured enterprise data.
 </li>
 <li>
 Develop scalable backend services using Java Spring Boot and Python.
 </li>
 <li>
 Integrate OpenAI SDKs and AI services into enterprise applications.
 </li>
 <li>
 Implement observability, tracing, evaluation, and monitoring using Langfuse.
 </li>
 <li>
 Build and maintain APIs and microservices supporting AI workloads.
 </li>
 <li>
 Design and optimize data models within PostgreSQL (PGSQL) environments.
 </li>
 <li>
 Develop frontend and mobile experiences using React Native.
 </li>
 <li>
 Integrate Microsoft ecosystem services including Microsoft Graph API, WorkIQ, and other Microsoft platform capabilities.
 </li>
 <li>
 Deliver integrations with enterprise platforms including ERP systems such as SAP, Oracle, Microsoft Dynamics, or similar solutions.
 </li>
 <li>
 Collaborate with Product Owners, Architects, Security teams, and business stakeholders to define AI use cases and technical solutions.
 </li>
 <li>
 Ensure AI solutions meet enterprise requirements for scalability, security, governance, and reliability.
 
 
 </li>
 </ul>
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Minimum 5 years of software engineering experience with proven delivery of enterprise-scale applications.
 </li>
 <li>
 Demonstrated experience working on large-scale, complex projects involving multiple integrations, stakeholders, and high-volume workloads.
 </li>
 <li>
 Strong hands-on experience with Python development.
 </li>
 <li>
 Strong experience with Java Spring Boot and microservices architecture.
 </li>
 <li>
 Practical experience with OpenAI APIs and SDKs.
 </li>
 <li>
 Experience designing and implementing RAG architectures.
 </li>
 <li>
 Hands-on experience with Langfuse or similar LLM observability and monitoring platforms.
 </li>
 <li>
 Strong knowledge of PostgreSQL (PGSQL).
 </li>
 <li>
 Experience building applications using React Native.
 </li>
 <li>
 Experience integrating with Microsoft Graph API and Microsoft productivity ecosystem services.
 </li>
 <li>
 Experience integrating enterprise systems and ERP platforms.
 </li>
 <li>
 Strong understanding of RESTful APIs, authentication, security, and application scalability.
 </li>
 <li>
 Experience working within Agile delivery environments.
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills.
 </li>
 <li>
 Preferred Qualifications
 </li>
 <li>
 Experience with Azure AI Services, Azure OpenAI, or cloud-native AI architectures.
 </li>
 <li>
 Experience with vector databases and semantic search technologies.
 </li>
 <li>
 Understanding of AI governance, security, and responsible AI principles.
 </li>
 <li>
 Experience deploying AI workloads in production environments.
 </li>
 <li>
 Knowledge of containerization technologies such as Docker and Kubernetes.
 </li>
 <li>
 Experience designing multi-agent or agentic AI workflows.
 
 
 </li>
 </ul>
 AI Engineer in Abu Dhabi, United Arab Emirates
 
 
</div>

AI Engineer (m/f/d)

Salient Group

<div>
 
 
 AI/ML Engineer (Mid, Senior, Lead)
 
 
 
 
 Location
 
 | Abu Dhabi/Dubai (Hybrid)
 
 
 
 Comp
 
 | $200k-$250k + Equity + Package
 
 
 
 Focus
 
 | Real-World AI Deployment Across Enterprise &amp; Operational Environments, AI Systems, LLM Applications &amp; Agentic Workflows
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 70+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an AI/ML Engineer, you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
 </li>
 </ul>
 
 
 
 
 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
</div>

Artificial Intelligence Engineer

Saif Al Khaili Group

Emirates Hospitality Center (EHC) is looking for an experienced and results-driven Soft &amp; Hard Facilities Manager to join our team.We are seeking a highly capable professional with a strong background in catering, hospitality, facilities management, and large-scale service operations, with a proven track record of managing both soft and hard FM services.Position: Soft &amp; Hard Facilities ManagerCompany: Emirates Hospitality Center Industry: Catering &amp; Hospitality Experience: Minimum 5 years of relevant experienceKey Responsibilities<ul><li>Manage and oversee all Soft and Hard Facilities Management operations across assigned sites and facilities.</li><li>Develop and implement effective FM strategies, SOPs, policies, and operational standards.</li><li>Supervise cleaning, housekeeping, waste management, pest control, landscaping, and other soft services.</li><li>Oversee MEP, HVAC, electrical, plumbing, civil works, building maintenance, and preventive maintenance activities.</li><li>Ensure all facilities are maintained to a high standard of safety, hygiene, functionality, and operational efficiency.</li><li>Manage preventive and corrective maintenance schedules and ensure timely completion of work orders.</li><li>Coordinate with contractors, suppliers, service providers, and internal departments.</li><li>Monitor service-level agreements (SLAs), key performance indicators (KPIs), and contractual requirements.</li><li>Control maintenance and operational costs while maintaining service quality.</li><li>Conduct regular inspections and ensure compliance with HSE, food safety, hygiene, and statutory requirements.</li><li>Identify operational risks and implement appropriate corrective and preventive actions.</li><li>Manage facility-related budgets, resources, manpower, equipment, and materials.</li><li>Lead and develop FM teams, supervisors, technicians, cleaners, and support staff.</li><li>Prepare operational reports, maintenance reports, incident reports, and performance dashboards for management.</li><li>Ensure business continuity and rapid response to facility emergencies and breakdowns.</li><li>Work closely with Catering Operations, Kitchen, Procurement, HR, HSEQ, Finance, and senior management.</li></ul>Candidate Requirements<ul><li>Minimum 5 years of relevant experience in Facilities Management, preferably within the catering, hospitality, hotel, contract catering, healthcare, or large-scale service industry.</li><li>Strong practical knowledge of both Soft FM and Hard FM operations.</li><li>Proven experience managing large teams and multiple operational sites.</li><li>Strong knowledge of MEP, HVAC, electrical, plumbing, civil maintenance, cleaning, housekeeping, pest control, waste management, and general facility operations.</li><li>Experience working in a high-volume catering or hospitality environment will be highly preferred.</li><li>Strong knowledge of preventive and corrective maintenance programs.</li><li>Good understanding of HSE, hygiene, food safety, and facility compliance requirements.</li><li>Strong contractor and vendor management skills.</li><li>Excellent leadership, communication, problem-solving, and decision-making abilities.</li><li>Strong organizational and time-management skills.</li><li>Good computer skills, including MS Office and facility management/inventory systems.</li><li>Ability to work under pressure and manage multiple priorities in a fast-paced operational environment.</li><li>UAE experience is highly preferred.</li></ul>Preferred ProfileThe ideal candidate should be a hands-on and commercially minded Facilities Manager who can effectively balance operational excellence, service quality, compliance, manpower productivity, and cost control.Experience in large-scale catering operations, central kitchens, hospitality facilities, government/military catering, or multi-site contract services will be considered a strong advantage.Why Join Emirates Hospitality Center?Join Emirates Hospitality Center and become part of a professional organization where facilities excellence, operational efficiency, safety, and customer satisfaction are key drivers of business performance.Interested candidates with strong Soft &amp; Hard FM experience in the catering and hospitality sector are encouraged to apply.Work Location: In person

Facility Manager (FM) Soft and Hard

Brain Co.

<div>
 Our Mission
 
 
 Rebuild how the world works, to make institutions work better for the people they serve.
 
 
 
 About Brain Co.
 
 
 
 Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
 
 
 Why Now
 
 
 Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
 
 
 Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
 
 
 You'll work alongside exceptional peers on some of the hardest problems in applied AI. It&rsquo;s the kind of work you'll still be proud of in ten years from now.
 
 
 
 Machine Learning Engineer, Applied AI
 
 
 
 
 About The Role
 
 
 
 So much of the work society depends on is still slower and harder than it should be. Permits take months. Claims sit unresolved. And AI hasn't changed that &mdash; because the bottleneck isn't the models. It's the institutional context AI needs to do the work: rules, history, relationships, and judgment scattered across people, documents, and legacy systems.
 
 
 BrainCo exists to fix that. We build agent-native operating systems for the institutions society depends on, and our products are the first of their kind in the world &mdash; we were the first, anywhere, to fully automate construction permitting, and we're now doing the same across insurance and other industries. There is no playbook here, because no one has built this before.
 
 
 As a Machine Learning Engineer on Applied AI, your work begins where the demo ends: getting a model to look impressive is the easy part; making it a production decision system an institution stakes its process on is the job. The problems come in every shape &mdash; custom vision model pipelines that check blueprints against building codes at 95%+ accuracy, agents that untangle policy stacks to reveal coverage gaps, systems that predict from clinical records whether a patient is on their care path &mdash; and you'll own them end-to-end, from ambiguous customer problem to the eval that catches a whole class of errors.
 
 
 This is frontier ML applied where it's hardest and matters most. The problems are underspecified, the documents are brutal, the accuracy bar is institutional-grade &mdash; and the feedback loops are real, because our systems move real workflows forward every day.
 
 
 
 Who We're Looking For
 
 
 
 You understand how machine learning actually works &mdash; not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong. And you live at the bleeding edge of modern AI, with hard-won instincts for squeezing the most out of LLMs and agentic systems &mdash; prompting, fine-tuning, tool use, and reasoning. That combination is the job: you know when a fine-tuned segmentation model beats a VLM, when a rule engine beats both, and how to compose all three into a system more accurate than any single model. You treat frontier models as components to be measured, pushed, and engineered &mdash; never as magic.
 
 
 Most of all, you're energized by building things that have never existed, and comfortable when the problem, the data, and the definition of success all have to be invented at once.
 
 
 
 The Problems You'll Work On
 
 
 
 
 Composite AI systems and credit assignment.
 
 Our most demanding systems chain vision transformers, segmentation models, VLM reasoning, and rule engines. When the pipeline is wrong, which component failed? One of the most interesting open problems in applied ML.
 
 
 
 Document understanding beyond the frontier.
 
 Blueprints, site plans, policy stacks, contracts, clinical records &mdash; dense, multimodal documents that break off-the-shelf models. You'll build models that actually read them.
 
 
 
 Agents that learn from real work.
 
 Our deployments generate verified, ground-truth outcomes on every decision &mdash; reward signals most labs can only simulate. You'll help design the data, evals, and training loops to build and fine-tune agents on them.
 
 
 
 Evaluation as a product discipline.
 
 When a regulator has to trust your system, evals are the product. You'll build eval suites and failure-mode taxonomies rigorous enough to earn institutional sign-off.
 
 
 
 Institutional Intelligence that compounds.
 
 Every verified correction improves the system twice: the corrected fact percolates to every application, and the system that builds the intelligence learns to build it better. You'll work on both loops.
 
 
 
 In This Role, You Will
 
 
 
 
 Turn ambiguity into shipped systems
 
 &mdash; from no problem statement, no labeled data, and no agreed definition of success, to well-posed ML problems and production deployments.
 
 
 
 Own AI systems end-to-end.
 
 There is no handoff: the person who trains the model owns its behavior in production.
 
 
 
 Work at the research frontier with production stakes
 
 , applying LLMs, RL fine-tuning, and agentic systems where the output is a decision an institution acts on.
 
 
 
 Work directly with the institutions we serve
 
 &mdash; permit reviewers, underwriters, compliance officers &mdash; to understand how decisions actually get made and ensure your systems change how the work gets done.
 
 
 
 Engineer for production reality
 
 , navigating accuracy, latency, cost, and reliability in environments far messier than any benchmark.
 
 
 
 Raise the bar across the company
 
 through design reviews, our internal paper club, and the shared playbook for AI systems institutions can trust.
</div>

Machine Learning Engineer, Applied AI - Deployed

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