administrative assistant

office administrator

devops engineer

operations manager

senior devops engineer

kubernetes administrator

Cohere

<div>
 
 Who are we?
 
 
 
 Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
 
 
 We&rsquo;re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
 
 
 We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
 
 
 We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
 
 
 
 About North
 
 
 
 North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
 
 
 
 Why This Role?
 
 
 
 This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients&rsquo; engineering teams, you&rsquo;ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
 
 
 We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
 </li>
 <li>
 Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
 </li>
 <li>
 Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
 </li>
 <li>
 Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
 </li>
 <li>
 Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If
 
 
 
 <ul>
 <li>
 You have experience with and enjoy working directly with customers
 </li>
 <li>
 You have experience deploying enterprise software in private/hybrid cloud environments
 </li>
 <li>
 You have proven experience administering production Kubernetes clusters and expertise with Helm
 </li>
 <li>
 Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
 </li>
 <li>
 You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
 </li>
 <li>
 You excel in fast-paced environments and can execute while priorities and objectives are a moving target
 
 
 </li>
 </ul>
 
 Full-Time Employees At Cohere Enjoy These Perks
 
 
 
 <ul>
 <li>
 A weekly lunch stipend of $75/&pound;75 or equivalent in your local currency for lunch.
 </li>
 <li>
 Full health and dental benefits, including a separate budget for mental health.
 </li>
 <li>
 RRSP matching, 401K, Pension Scheme.
 </li>
 <li>
 100% Parental Leave top-up for up to 6 months, for either parent.
 </li>
 <li>
 Annual enrichment benefits:
 
 
 </li>
 </ul>
 Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.
 
 
 Education &amp; learning stipend for conferences, courses, and coaching.
 
 
 <ul>
 <li>
 6 weeks of paid vacation (30 working days!)
 </li>
 <li>
 Budget for traveling to other offices if you are remote, plus an annual company offsite.
 
 
 </li>
 </ul>
 
 How And Where We Work
 
 
 
 <ul>
 <li>
 Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
 </li>
 <li>
 For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
 </li>
 <li>
 For those not near an office: a co-working benefit so you can work alongside others in your city.
 </li>
 <li>
 Everyone receives a $500 home office stipend to set up your workspace properly.
 
 
 </li>
 </ul>
 If any of the above doesn&rsquo;t line up exactly with your experience, we still encourage you to apply.
 
 
 We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
 
 
 We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
 
 
 
 Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our
 
 
 official careers
 
 
 page.
 
</div>

Forward Deployed Engineer, Infrastructure Specialist (Europe/Middle East)

Mindstream

HIRING &ndash; DATA SCIENTIST Location: Dhahran, Saudi Arabia Experience: 6&ndash;14 YearsMind Stream is seeking a highly skilled and experienced Data Scientist to join our growing team. The successful candidate will play a key role in developing, productionizing, and scaling advanced AI and Machine Learning solutions, ranging from Agentic AI workflows to Time-Series Forecasting and Anomaly Detection models.Key Responsibilities<ul><li>Design and deploy Generative AI (GenAI) solutions using LLMs, RAG, and Vector Databases.</li><li>Build multi-agent AI applications using LangGraph, LangChain, CrewAI, and AutoGen.</li><li>Develop and deploy Time-Series Forecasting and Anomaly Detection models.</li><li>Productionize ML models using Python, FastAPI, MLflow, Docker, and Kubernetes.</li><li>Collaborate on cloud infrastructure for AI/ML model deployment, scaling, and performance optimization.</li><li>Implement and maintain MLOps practices for end-to-end machine learning lifecycle management.</li></ul>Requirements<ul><li>6&ndash;14 years of professional experience in Data Science, Machine Learning, or a related field.</li><li>Strong programming skills in Python with hands-on experience using FastAPI.</li><li>Experience with GenAI technologies, LLMs, prompt engineering, RAG, and embeddings.</li><li>Familiarity with Agentic AI frameworks and multi-agent workflows.</li><li>Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.</li><li>Knowledge of Cloud Platforms and MLOps practices.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>Application Question(s):<ul><li>How many years of professional experience do you have in Data Science, Machine Learning, or Artificial Intelligence?</li><li>How many years of hands-on experience do you have with Python?</li><li>Do you have professional experience developing APIs using FastAPI?</li><li>What is your level of experience with GenAI, LLMs, RAG, prompt engineering, and embeddings?</li><li>Do you have hands-on experience developing multi-agent AI applications or agentic workflows?</li><li>Do you have experience developing Time-Series Forecasting or Anomaly Detection models?</li><li>Do you have hands-on experience with MLflow, Docker, and Kubernetes?</li><li>Do you have experience with CI/CD pipelines and MLOps practices?</li><li>Which cloud platforms have you worked with? (AWS / Azure / GCP / Other)</li><li>Have you productionized and deployed Machine Learning or AI models at scale?</li><li>Are you willing to work full-time in Dhahran, Saudi Arabia?</li><li>What is your notice period or earliest joining date?</li><li>What is your current and expected monthly salary in SAR?</li></ul>Work Location: In person

DATA SCIENTIST

Angel Cakes

Apply here: https://hr.angelcakes.world Angel Cakes is looking for a dedicated and skilled Floor Manager in our cafe in Dubai Hills Park If you are an experienced administrator with excellent organizational and team management skills, we&rsquo;d love to have you on board!About Us:Angel Cakes is a premium organic caf&eacute; chain in Dubai, renowned for our gluten-free, refined sugar-free, and mostly vegan treats. We pride ourselves on being the first health-conscious patisserie in the UAE, where everything sweet is also good for you. Join us in creating a unique, wholesome dining experience.Role Description:As a Floor Manager at Angel Cakes, you will be responsible for:<ul><li>Ensuring a high level of customer service and guest satisfaction</li><li>Managing caf&eacute; staff, including scheduling and task allocation</li><li>Overseeing daily operations to ensure smooth and efficient service</li><li>Handling customer feedback and resolving any issues promptly</li><li>Maintaining inventory and ordering supplies as needed</li><li>Upholding health and safety standards according to HACCP guidelines</li></ul>Who We're Looking For:<ul><li>Proven experience as a Caf&eacute; Administrator or in a similar role</li><li>Strong organizational and multitasking skills</li><li>A passion for providing excellent customer service</li><li>Ability to manage and motivate a team effectively</li><li>Familiarity with health and safety regulations in food service</li></ul>Why Join Angel Cakes?Be part of our dynamic and growing team, where we&rsquo;re redefining healthy dining in the UAE. If you&rsquo;re ready to contribute to a brand dedicated to quality and innovation, apply now!Job Type: Full-timePay: AED4,000.00 - AED5,000.00 per monthApplication Question(s):<ul><li>What's your visa status?</li><li>What's your notice period?</li></ul>Experience:<ul><li>Administration: 2 years (Required)</li></ul>Language:<ul><li>Russian (Preferred)</li></ul>Location:<ul><li>Dubai (Required)</li></ul>Work Location: In person

Floor Manager

AGMC

<div>
 
 
 About the Role
 
 
 
 
 
 
 We're looking for an
 
 AI Engineer
 
 who can take ideas from prototype to production &mdash; building scalable AI/ML systems and the data architecture behind them. This is a hands-on role combining strong
 
 software engineering, applied machine learning, Generative AI and data engineering
 
 .
 
 
 The ideal candidate will be responsible for developing practical AI solutions that support business transformation, automation and improved decision-making across AGMC.
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Design, build and optimize
 
 ML/DL models and LLM-powered applications
 
 , including Agentic AI, Generative AI and RAG solutions.
 </li>
 <li>
 Build end-to-end AI pipelines covering
 
 training, inference, evaluation and monitoring
 
 .
 </li>
 <li>
 Develop clean, scalable and well-tested backend services and APIs using
 
 FastAPI / Flask
 
 .
 </li>
 <li>
 Design data architecture and manage data storage, primarily using
 
 PostgreSQL
 
 , including schema design, data modelling and performance optimization.
 </li>
 <li>
 Work with large datasets, including data preprocessing, feature engineering and model evaluation.
 </li>
 <li>
 Develop and integrate AI solutions into existing business applications and systems.
 </li>
 <li>
 Monitor AI/ML models in production and continuously improve
 
 accuracy, latency, reliability and scalability
 
 .
 </li>
 <li>
 Develop proof-of-concepts and take successful AI solutions through to production.
 </li>
 <li>
 Collaborate with
 
 IT, Digital, Product, Data and business teams
 
 to identify and deliver AI use cases.
 </li>
 <li>
 Ensure AI solutions follow appropriate
 
 security, privacy, governance and responsible AI practices
 
 .
 </li>
 <li>
 Stay up to date with emerging AI technologies and identify opportunities to apply them within AGMC.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 Strong
 
 Python
 
 skills and solid software engineering fundamentals, including clean code, testing and Git.
 </li>
 <li>
 Hands-on experience with
 
 PyTorch and/or TensorFlow
 
 .
 </li>
 <li>
 Practical experience with
 
 Agentic AI, Generative AI, LLMs and RAG
 
 .
 </li>
 <li>
 Experience with LLM frameworks and tooling such as
 
 LangChain and/or LlamaIndex
 
 .
 </li>
 <li>
 Strong data architecture and database skills, particularly
 
 PostgreSQL
 
 .
 </li>
 <li>
 Familiarity with
 
 vector databases
 
 such as Pinecone, Weaviate or FAISS.
 </li>
 <li>
 Experience with cloud platforms such as
 
 AWS, Microsoft Azure or Google Cloud Platform
 
 .
 </li>
 <li>
 Understanding of
 
 MLOps
 
 and production deployment, including Docker, Kubernetes, CI/CD and MLflow.
 </li>
 <li>
 Experience developing and consuming
 
 REST APIs
 
 .
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Clear communicator with the ability to work independently and take ownership of projects from concept through to production.
 </li>
 <li>
 Experience working in an
 
 Agile / collaborative environment
 
 .
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in
 
 Computer Science, Artificial Intelligence, Data Science, Software Engineering or a related field
 
 .
 </li>
 <li>
 Maximum 2 years experience deploying AI applications at scale within an enterprise environment.
 </li>
 <li>
 Strong
 
 prompt engineering
 
 skills and understanding of AI safety and responsible AI.
 </li>
 <li>
 Experience with AI agents and multi-agent architectures.
 </li>
 <li>
 Exposure to
 
 reinforcement learning or multimodal AI
 
 .
 </li>
 <li>
 Experience working with
 
 automotive, retail, mobility or other customer-focused industries
 
 would be an advantage.
 </li>
 <li>
 Experience taking AI solutions from
 
 proof-of-concept to production
 
 .
 </li>
 </ul>
 
 
 
 
 
 Tools &amp; Technologies
 
 
 
 
 Python &middot; FastAPI / Flask &middot; PyTorch / TensorFlow &middot; PostgreSQL &middot; SQL &middot; LangChain / LlamaIndex &middot; RAG &middot; Vector Databases &middot; Docker &middot; Kubernetes &middot; Git &middot; AWS &middot; Azure &middot; GCP &middot; MLflow &middot; CI/CD
 
 
</div>

Artificial Intelligence Engineer

Derq

<div>Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We&rsquo;re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.
Role Overview
We are looking for a Full-Stack Software Engineer to join our growing engineering team. In this role, you will work across frontend, backend, and cloud infrastructure to build scalable, high-availability products and services powering intelligent transportation systems.
You will contribute to customer-facing applications, backend APIs, cloud-native services, and data pipelines that support real-time analytics, complex workflows, and production-critical operations. This role is ideal for someone who enjoys owning features end-to-end, building for scale, and working in a fast-moving environment where engineering has direct impact on real-world deployments.
Key Responsibilities<ul><li>
Design, develop, and maintain full-stack applications across frontend and backend systems</li><li>
Build responsive and scalable frontend applications using React (Remix), TypeScript, and Vue.js</li><li>
Develop backend services and APIs using NestJS and modern microservice architectures</li><li>
Design and optimize integrations with relational databases and data platforms</li><li>
Build and maintain event-driven cloud pipelines using AWS services such as S3, SQS, Lambda, Cognito, and API Gateway</li><li>
Develop ETL and data transformation workflows using Python</li><li>
Deploy and manage containerized applications using Docker and Kubernetes (EKS)</li><li>
Contribute to CI/CD pipelines using GitHub Actions and ArgoCD</li><li>
Collaborate with product, engineering, and deployment teams to deliver reliable production-ready solutions</li><li>
Troubleshoot production issues, improve system performance, and support scalability initiatives</li><li>
Participate in technical discussions, architecture reviews, and engineering best practices</li></ul> 

Requirements 
<ul><li>
7+ years of experience in Full‑Stack engineering, working across frontend, backend, and production environments</li><li>
Experience building scalable, high-availability platforms that support large user volumes, complex workflows, and production-critical operations</li></ul><ul><li>
Strong frontend experience with React (Remix), TypeScript, and Vue.js (Vue 2 &ndash; legacy)</li><li>
Backend experience using NestJS and building APIs / microservices</li><li>
Solid experience with relational databases (RDBMS) and familiarity with MongoDB and Amazon Redshift</li><li>
Hands‑on experience with public cloud platforms (AWS preferred) and services such as S3, SQS, Lambda, Cognito, and API Gateway</li><li>
Experience building event‑driven pipelines (S3 SQS Lambda), using Python for ETL and data transformation</li><li>
Experience with CI/CD pipelines (GitHub Actions, ArgoCD) and containerized deployments using Docker and Kubernetes (EKS)</li><li>
Comfortable working independently, taking ownership, and operating in a fast‑moving environment</li></ul></div>

Senior Full-Stack Engineer (Scalable Systems)

VN Capitals

About the RoleWe are looking for an experienced Administrator to join our Family Office, responsible for the day-to-day facility and property management of our real estate portfolio. The successful candidate will act as the central point of contact for facility services, payments, access management, documentation, and coordination with real estate agents. Key Responsibilities Facility &amp; Property Management• Coordinate and order facility management services for all units, including cleaning, maintenance, and technical support• Re-register and centralize all accesses under a single set of logins and one company email address• Monitor and control payment of service charges, DEWA, Empower• Oversee and control the collection of cash payments and cheques from tenants• Issue and manage viewing passes and coordinate access for property viewings• Create and manage property listings, maintaining ongoing communication with agents Requirements• Fluent English with excellent written and verbal communication skills• Prior experience in property management, facility management, or real estate administration preferred• Strong organizational skills with the ability to manage multiple properties and accounts simultaneously• Proactive and Create and manage property listings, maintaining ongoing communication with agents responsible

Administrator - Family Office

BLUE DIAMOND GENERAL L.L.C

Horn Ridge Engineering &amp; Consultancy is seeking an experienced HR &amp; Administrator Executive to oversee Human Resources administration, executive support, document control, and project coordination across the HR, Projects, and Operations Departments. The successful candidate will play a key role in managing the employee lifecycle, supporting recruitment and payroll administration, maintaining technical and corporate documentation, and ensuring efficient administrative operations within a construction and engineering environment.Key ResponsibilitiesHuman Resources<ul><li>Manage recruitment, onboarding, probation, employee records, contracts, and offboarding.</li><li>Coordinate attendance, leave, payroll inputs, performance appraisals, and HR reporting.</li><li>Prepare HR letters, employment contracts, warning letters, certificates, and other HR documentation.</li><li>Ensure compliance with company policies and applicable labour regulations.</li><li>Support employee relations, disciplinary processes, training coordination, and HR initiatives.</li></ul>Technical &amp; Administrative Support<ul><li>Manage document control for project drawings, technical submissions, contracts, reports, correspondence, and company records.</li><li>Maintain document registers, version control, filing systems, and archives.</li><li>Provide executive administrative and secretarial support to Management, Projects, and Operations.</li><li>Prepare reports, presentations, official correspondence, and meeting minutes.</li><li>Coordinate meetings, travel arrangements, project documentation, and communication with clients, consultants, contractors, and internal departments.</li><li>Monitor contract renewals, project documentation, and administrative deadlines.</li><li>Maintain confidentiality of HR, commercial, and project information.</li></ul>Qualifications &amp; Experience<ul><li>Bachelor's Degree in Human Resources, Business Administration, Office Management, Engineering, Construction Management, or a related field.</li><li>Minimum 7 years of experience in HR, administration, executive support, or document control within an engineering consultancy, construction, or project-based environment.</li><li>Strong knowledge of HR administration, document control, and construction documentation.</li><li>Excellent English communication and report-writing skills.</li><li>Advanced proficiency in Microsoft Office (Word, Excel, Outlook, PowerPoint)</li></ul>Application Question(s):<ul><li>Are you currently in UAE?</li><li>Can you join immediately?</li></ul>Work Location: In person

HR And Admin Executive

Explore 17+ Kubernetes administrator in Dubai this August. Find roles across top companies and apply now to boost your career.