business support specialist Jobs in Dubai

business support specialist

call center specialist

hseq specialist

it consultant

it data centre facility specialist Jobs in Dubai

it data centre facility specialist

ai specialist

Snowflake

<div>
 At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
 
 
 
 Position Overview:
 
 We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the META region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.
 
 
 KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Solution Selling:
 </li>
 <ul>
 <li>
 The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.
 </li>
 </ul>
 <li>
 Strategic Leadership:
 </li>
 <ul>
 <li>
 Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.
 </li>
 <li>
 Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.
 </li>
 </ul>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.
 </li>
 <li>
 Provide hands-on technical guidance to AI/ML teams during critical projects.
 </li>
 <li>
 Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.
 </li>
 </ul>
 <li>
 Customer Engagement:
 </li>
 <ul>
 <li>
 Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.
 </li>
 <li>
 Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.
 </li>
 </ul>
 <li>
 Team Collaboration:
 </li>
 <ul>
 <li>
 Collaborate with product teams, fostering a culture of innovation, learning, and excellence.
 </li>
 <li>
 Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.
 </li>
 <li>
 Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.
 
 
 
 </li>
 </ul>
 </ul>
 TECHNICAL REQUIREMENTS:
 
 
 <ul>
 <li>
 Essential
 </li>
 <ul>
 <li>
 Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents
 </li>
 <li>
 Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.
 </li>
 <li>
 Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)
 </li>
 <li>
 Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries
 </li>
 </ul>
 <li>
 Highly Desirable
 </li>
 <ul>
 <li>
 Snowflake Experience: experience with the Snowflake AI/ML ecosystem
 </li>
 <li>
 Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial
 </li>
 <li>
 ML Ops: Experience in ML Ops including feature stores, model registries, observability
 </li>
 <li>
 DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines
 
 
 
 </li>
 </ul>
 </ul>
 PERSONAL ATTRIBUTES:
 
 
 <ul>
 <li>
 Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.
 </li>
 <li>
 Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.
 </li>
 <li>
 Customer-Centric: Deeply invested in understanding and addressing customer needs.
 </li>
 <li>
 Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.
 </li>
 <li>
 Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.
 </li>
 <li>
 Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions.
 </li>
 <li>
 Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.
 
 
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 
 
 How do you want to make your impact?
 
 
 For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
</div>

AI Specialist

Dataiku

<div>
 Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack &mdash; empowering organizations to run AI across multi-vendor environments with centralized governance.
 
 
 The world&rsquo;s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Senior Data Scientist

BCG X

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 We Are BCG X
 
 
 
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 
 
 What You'll Do
 
 
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 
 
 You'll be part of our rapidly growing team who will have a chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
 
 
 Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.
 
 
 We Are Looking For Dedicated Individuals With a Passion For Data Science, Statistics, Operations Research And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
 <ul>
 <li>
 Comfortable in a client-facing role with the ambition to lead teams
 </li>
 <li>
 Likes to distill complex results or processes into simple, clear visualizations
 </li>
 <li>
 Explain sophisticated data science concepts in an understandable manner
 </li>
 <li>
 Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
 </li>
 <li>
 Significant experience applying advanced analytics to business situations and a proven ability to synthesize complex data
 </li>
 <li>
 Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
 </li>
 <li>
 Have strong project management skills
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 
 Requirements
 
 
 
 Currently enrolled in a university master&rsquo;s or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field
 
 
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 #BCGXjob
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Visiting Forward Deployed AI Scientist, Internship, United Arab Emirates - BCG X

Hays

<div>
 
 We&rsquo;re looking for an exceptional early‑career Data Scientist with a strong academic background and outstanding Python capability to work on real, high‑impact machine‑learning problems in a data‑rich, fast‑moving environment.
 
 
 
 
 
 This role is ideal for a top master&rsquo;s graduate who enjoys moving from theory to practice &mdash; building models, experimenting with data, and turning rigorous analysis into tools that influence real decisions.
 
 
 
 
 
 What You&rsquo;ll Do:
 
 <ul>
 <li>
 Build and experiment with machine‑learning models across forecasting, classification, clustering, optimisation, and anomaly detection
 </li>
 <li>
 Work hands‑on with large, real‑world datasets: feature engineering, hypothesis testing, and model evaluation
 </li>
 <li>
 Design and test ML pipelines using techniques such as LSTM, SVM, K‑means, regression, tree‑based and ensemble models
 </li>
 <li>
 Develop clean, production‑ready Python tooling for modelling, back testing, and performance monitoring
 </li>
 <li>
 Collaborate with engineers to move models from research into reliable, deployed workflows
 </li>
 </ul>
 
 
 
 
 What We&rsquo;re Looking For
 
 <ul>
 <li>
 Master&rsquo;s degree from a leading university (Machine Learning, AI, Data Science, Statistics, or Computer Science)
 </li>
 <li>
 Strong foundations in machine learning, statistics, and time‑series data
 </li>
 <li>
 Excellent Python skills with evidence of real ML or analytical projects
 </li>
 <li>
 Comfortable balancing academic rigour with speed and pragmatism
 </li>
 <li>
 Curious, analytical, and excited to solve messy, real‑world problems
 </li>
 </ul>
</div>

Data Scientist

NVIDIA

<div>
 NVIDIA is looking for a Senior Solutions Architect, Customer Success to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!
 
 
 We are looking for someone who blends deep technical expertise with a consultative, collaborative approach. This role will engage directly with customers, partners, and multi-functional internal teams to assess infrastructure needs, architect scalable solutions, and guide the implementation of large-scale networking and AI infrastructure projects. The scope spans networking, system design, and automation&mdash;serving as a trusted strategic advisor and the technical face of NVIDIA to key accounts.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Serve as a senior technical authority and trusted consultant on NVIDIA technologies, contributing to architecture reviews, guiding infrastructure decisions at scale, and providing strategic recommendations aligned with each customer&rsquo;s business objectives.
 </li>
 <li>
 Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity.
 </li>
 <li>
 Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.
 </li>
 <li>
 Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA&rsquo;s infrastructure roadmap.
 </li>
 <li>
 Own and lead complex technical projects end-to-end&mdash;from initial discovery and solution design through implementation, knowledge transfer, and continuous improvement&mdash;ensuring alignment to SLAs and proactive mitigation of technical risks.
 </li>
 <li>
 Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments, crafting compelling technical proposals, and driving initiatives that showcase NVIDIA&rsquo;s leadership in this space.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 Education &amp; Experience: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 10+ years of professional experience in large-scale data center service operations with a focus on infrastructure.
 </li>
 <li>
 NVIDIA GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver and firmware management, CUDA toolkit integration, and GPU workload profiling and fix.
 </li>
 <li>
 Customer Engagement: Track record of building long-term customer relationships and driving adoption through consultative engagement.
 </li>
 <li>
 Analytical &amp; Problem-Solving Skills: Strong analytical and decision-making capabilities, with a demonstrable ability to identify root causes, drive continuous improvement, and deliver resilient technical solutions.
 </li>
 <li>
 System &amp; Infrastructure Proficiency: Expertise in end-to-end data center architecture, spanning operating systems, Linux kernel drivers, GPU and NIC hardware, high-speed networking (InfiniBand, Ethernet, RDMA), and storage systems (Lustre, GPFS, NFS).
 </li>
 <li>
 Leadership &amp; Communication: Good communication, time management, and organizational skills, with the ability to lead complex multi-functional projects, guide technical teams, and present to executive partners.
 </li>
 <li>
 Travel: Willingness to travel up to 25% for customer engagements.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Experience with Kubernetes for container orchestration, resource scheduling, and integration with GPU-accelerated workloads.
 </li>
 <li>
 Familiarity with observability stacks (Grafana, Prometheus, Loki) for monitoring, alerting, and building fault-tolerant systems.
 </li>
 <li>
 Experience with multi-tenant GPU cluster management and workload scheduling frameworks.
 </li>
 <li>
 Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and monitoring GPU clusters at scale.
 </li>
 <li>
 Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments as well as knowledge of CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and GitOps workflows for infrastructure automation.
 
 
 </li>
 </ul>
 , , JR2016438
 
 
</div>

Senior Solutions Architect, Customer Success

Norconsult Telematics

<div>
 
 
 Job location: Riyadh, Saudi Arabia
 
 
 
 
 
 
 
 Position Objectives:
 
 
 <ul>
 <li>
 Own and drive ICT Asset Management at the intersection of telecom network infrastructure, datacenter operations, and enterprise asset governance. This domain goes far beyond standard IT asset management and demands deep technical fluency across complex, multi-site, multi-client environments.
 </li>
 <li>
 Bring proven experience from large-scale telecom or datacenter infrastructure programs, multi-site network rollouts, DC audits, or national ICT projects to define and enforce asset management standards, policies, and procedures that field teams can consistently execute at scale.
 </li>
 <li>
 Ensure everything captured on-site is clean, reconciled, and decision-ready, integrating field operations, data governance, and stakeholder reporting into a single accountable asset management function.
 </li>
 <li>
 Support the organisation's AI and data strategy by ensuring asset data quality, completeness, and structure meet the standards required for AI-driven analytics, intelligent CMDB platforms, and automated asset lifecycle management.
 </li>
 <li>
 Drive measurable improvements in asset visibility, data accuracy, and operational readiness across a multi-client datacenter and telecom infrastructure environment.
 </li>
 </ul>
 
 
 
 
 
 Job Description &amp; Responsibilities
 
 
 <ul>
 <li>
 Act as the go-to authority for ICT asset management across telecom and datacenter infrastructure, with accountability for standards, quality, and outcomes.
 </li>
 <li>
 Define and enforce asset management standards and procedures: asset attributes, naming conventions, rack/row/location identifiers, labelling and tagging rules, evidence requirements, and exception handling across multiple clients and sites.
 </li>
 <li>
 Develop and maintain asset management policies aligned with ISO 55000, ITIL, and enterprise governance frameworks.
 </li>
 <li>
 Define required survey methodologies and ensure consistent execution across multi-site, multi-client environments.
 </li>
 <li>
 Ensure compliance with site rules, access control protocols, client segregation requirements, and safety standards at all times.
 </li>
 <li>
 Provide technical guidance to field teams for correct asset identification, differentiation of asset types, and interpretation of vendor labels, chassis families, model identifiers, and other physical attributes.
 </li>
 <li>
 Ensure accurate and complete capture of all required asset fields during on-site surveys and audits.
 </li>
 <li>
 Execute and oversee multi-site physical surveys with consistent methodology, structured checklists, and scanning tools.
 </li>
 <li>
 Implement quality control processes, including sampling checks, peer verification, repeat scans, and discrepancy triage before reconciliation submission.
 </li>
 <li>
 Coordinate with site and operations teams for access control, escorting, scheduling, and safety requirements.
 </li>
 <li>
 Support reconciliation workflows by preparing clean survey extracts and clearly categorised discrepancy reports for the Data &amp; Reporting/Reconciliation Specialist.
 </li>
 <li>
 Ensure asset data is structured, complete, and ready for integration with CMDB, DCIM, and AI-driven analytics platforms.
 </li>
 <li>
 Contribute to the improvement of asset data quality as a foundational input for AI, automation, and predictive lifecycle management initiatives within the department.
 </li>
 <li>
 Produce reliable documentation and structured reporting for internal stakeholders and client deliverables.
 </li>
 <li>
 Track and report on asset data accuracy, survey completion, discrepancy resolution, and audit readiness metrics.
 </li>
 <li>
 Engage with internal stakeholders, field teams, and clients to align on asset management requirements, timelines, and deliverables.
 </li>
 <li>
 Contribute to RFP responses, procurement evaluations, and scope definitions in the domain of asset management.
 </li>
 <li>
 Support client-facing interactions with clear, practical communication on asset management standards, findings, and recommendations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, Telecommunications, or Electrical Engineering.
 </li>
 <li>
 8&ndash;15 years in ICT Asset Management with hands-on exposure to high-tech telecom and datacenter assets.
 </li>
 <li>
 Solid technical understanding of datacenter hardware and telecom equipment identification, including vendors, chassis families, and labelling conventions across major OEMs.
 </li>
 <li>
 Proven experience managing and executing multi-site physical surveys with consistent methodology and quality outcomes.
 </li>
 <li>
 Experience operating in multi-client datacenter or telecom environments, with an understanding of client segregation, confidentiality, and access control requirements.
 </li>
 <li>
 Familiarity with CMDB and DCIM platforms and their role in asset lifecycle management.
 </li>
 <li>
 Experience with or exposure to AI-driven asset management tools, intelligent inventory platforms, or automated discovery solutions is an advantage.
 </li>
 <li>
 Strong practical skills with scanning tools, structured checklists, and producing clean datasets for reconciliation and reporting.
 </li>
 <li>
 Experience contributing to RFPs, procurement processes, or vendor evaluations in the asset management or infrastructure domain.
 </li>
 <li>
 Background in ITIL, ISO 55000, or structured asset governance frameworks is an advantage.
 </li>
 <li>
 close attention to detail and a strong quality mindset.
 </li>
 <li>
 Clear, practical communication with field technicians, internal stakeholders, and clients.
 </li>
 <li>
 Strong problem-solving under operational constraints.
 </li>
 <li>
 Reliable documentation, discipline and structured reporting approach.
 </li>
 <li>
 Ability to manage multiple priorities across sites, teams, and clients simultaneously.
 </li>
 </ul>
 
 
 Relevant Certificates
 
 
 <ul>
 <li>
 Datacenter certification (CDCP, CDCS, or equivalent) &mdash; required.
 </li>
 <li>
 ITIL Foundation &mdash; preferred.
 </li>
 <li>
 ISO 55000 Asset Management &mdash; preferred.
 </li>
 <li>
 Any AI, data, or DCIM platform certification is an advantage.
 </li>
 </ul>
 
 
</div>

ICT Asset Management Expert (Data Centre)

UDrive

<div>Job Description: Content &amp; Visual Communications Specialist
Position Overview
The Content &amp; Visual Communications Specialist plays a key role in shaping the brand&rsquo;s digital presence by creating compelling visual and written content across all platforms. This position is responsible for managing the complete content lifecycle &mdash; from conceptualisation and planning to production, editing, publishing, and performance analysis. The role requires a strong balance of creative vision, technical capability, and strategic thinking to ensure that all content effectively supports the organisation&rsquo;s marketing goals and enhances audience engagement.
This specialist will work closely with the marketing team to maintain consistent brand identity, support campaign objectives, and produce content that drives growth and retention across social media and digital channels.
Detailed Responsibilities
Content Production<ul><li>
Shoot and edit professional-quality videos and photographs using cameras, mobile devices, and other equipment.</li><li>
Produce a variety of content formats including reels, shorts, interviews, product showcases, event coverage, and behind-the-scenes material.</li><li>
Prepare scripts, storyboards, and shot lists to support structured content creation.</li><li>
Ensure all content adheres to brand guidelines, tone, and visual standards.</li></ul>
Content Planning &amp; Calendar Management<ul><li>
Develop and maintain a monthly content calendar aligned with marketing campaigns and business objectives.</li><li>
Coordinate production timelines, posting schedules, and asset delivery to ensure timely execution.</li><li>
Identify opportunities for trending, seasonal, or topical content to maximise engagement.</li></ul>
Content Optimization &amp; Analysis<ul><li>
Monitor performance metrics such as reach, retention, watch time, click-through, and engagement.</li><li>
Analyse audience behaviour and platform insights to identify what content performs best.</li><li>
Use data-driven recommendations to refine content strategies and improve overall effectiveness.</li></ul>
Copywriting &amp; Creative Development<ul><li>
Write captions, descriptions, scripts, and other supporting copy tailored to each platform.</li><li>
Ensure all written communication is clear, engaging, and aligned with the brand voice.</li><li>
Collaborate with designers and marketers to develop creative ideas for campaigns and visual storytelling.</li></ul>
Shoot Planning &amp; Coordination<ul><li>
Plan and organise photoshoots and video shoots, including location scouting, equipment setup, and logistics.</li><li>
Coordinate with internal teams, models, or external vendors when needed.</li><li>
Ensure smooth execution of shoot days with attention to detail and time management.</li></ul>
Social Media Strategy &amp; Support<ul><li>
Contribute to organic growth strategies by recommending new formats, trends, and content ideas.</li><li>
Support community engagement by preparing visual assets for stories, posts, and replies.</li><li>
Assist with campaign execution, events, and other marketing activities as required.</li></ul>
Cross-Functional Collaboration<ul><li>
Work with the marketing and operations teams to ensure content supports broader business objectives.</li><li>
Provide visual support for website updates, presentations, brochures, and internal communication materials.</li><li>
Maintain an organised library of assets for quick access and future use.</li></ul>
Skills &amp; Competencies<ul><li>
Strong expertise in composition, lighting, colour balance, and overall visual storytelling.</li><li>
Working knowledge of camera settings and the technical aspects of shooting.</li><li>
Proficiency in editing high-quality videos with sound design, transitions, and retention-focused pacing.</li><li>
Solid understanding of design principles and the ability to apply them in digital content.</li><li>
Analytical mindset with the ability to interpret social media insights and performance data.</li><li>
Ability to manage multiple tasks, projects, and deadlines simultaneously with strong attention to detail.</li><li>
Creative thinker capable of presenting new ideas and adapting to evolving trends.</li></ul>
Tools &amp; Platforms<ul><li>
Adobe Premiere Pro, Final Cut Pro, or similar professional video editing tools.</li><li>
Canva for quick design creation and templated content.</li><li>
Adobe Photoshop and Lightroom for photo editing.</li><li>
Adobe After Effects for motion graphics and advanced visual effects (preferred).</li><li>
Knowledge of AI-driven image/video tools (added advantage).</li></ul></div>

Content & Visual Communications Specialist

Explore 162+ Ai specialist in Dubai this May. Find roles across top companies and apply now to boost your career.