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ai infrastructure engineer

Dautom

<div>
 
 Hiring for AI Infrastructure Engineer in Dubai for Semi Govt Client
 
 
 Years : 6 Years
 
 
 Location : Dubai ( Looking for UAE Based candidates )
 
 
 Reports To: Head of Infrastructure / AI Platform Lead
 
 
 
 
 
 Job Summary :
 
 
 Design, build, and operate scalable GPU-based AI infrastructure to support LLMs, GenAI, computer vision, and ML workloads. Manage GPU clusters, deploy OpenShift AI, and ensure high-performance, secure AI platforms across hybrid cloud environments.
 
 
 
 
 
 Key Responsibilities:
 
 
 Deploy and maintain Red Hat OpenShift AI (RHODS) for multi-tenant AI environments.
 
 
 Host and scale #LLM frameworks (Llama, Falcon, Mistral, etc.) and vector databases.
 
 
 Build MLOps pipelines for model training, deployment, and monitoring using Terraform/Ansible.
 
 
 Implement hybrid AI solutions across Sovereign Cloud, Azure AI, and Oracle Cloud.
 
 
 Mandatory Skills &amp; Experience:
 
 
 7+ years in #cloudinfrastructure, DevOps, or AI/ML platform engineering.
 
 
 Hands-on experience with #NVIDIA#GPU clusters (CUDA, DNN, GPU operators, NCCL).
 
 
 Strong experience with OpenShift AI (RHODS)
 
 
 
 
 
 Key Deliverables:
 
 
 Production-ready #GPUclusters and #OpenShift #AIplatform.
 
 
 Scalable #LLM serving environment with #MLOps automation.
 
 
 Fully documented, secure, and compliant #AIinfrastructure.
 
 
 
 
 
 Share your word cv to Hema Javvadi with your CTC and Notice details : hema.j@dautom.com
 
</div>

AI Infrastructure Engineer

Etera Technologies FZCO

<div><h3 class="jobSectionHeader">About Etera</h3>
Etera is building the world&rsquo;s first AI Concierge &mdash; a platform that helps users discover and book restaurants, hotels, experiences, and flights through intelligent, personalized interactions.
We are a high-velocity startup based in Dubai, operating with strong principles of ownership, speed, and technical rigor. Our backend systems are the backbone of the product: complex, data-driven, AI-aware, and built to scale from day one.<h3 class="jobSectionHeader">
Role Overview</h3>
We are looking for a Senior Backend Engineer with deep experience in Python and TypeScript, working primarily with Bun and Elysia as our core runtime and framework.
This role is about owning backend systems end-to-end &mdash; from API design and external integrations to data pipelines, personalization logic, and infrastructure awareness.
You will be responsible for building and evolving complex backend workflows that understand user behavior, power AI-driven personalization, and integrate multiple external services reliably at scale. This is a high-ownership role for an engineer who has built real systems in production and thrives in startup environments.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Design, build, and own backend services using TypeScript, Bun, and Elysia.</li>
<li>Develop and maintain supporting systems in Python for data processing, AI workflows, and pipelines.</li>
<li>Architect and implement microservice-based systems and inter-service communication.</li>
<li>Integrate and maintain external APIs (partners, vendors, AI providers, data sources).</li>
<li>Build complex pipelines and workflows that analyze user behavior and drive personalized responses.</li>
<li>Design backend logic that supports intelligent, adaptive, and context-aware user experiences.</li>
<li>Work with PostgreSQL for transactional data, analytics, and system state.</li>
<li>Ensure backend systems are scalable, observable, and reliable.</li>
<li>Collaborate closely with frontend and product teams to translate product requirements into robust backend solutions.</li>
<li>Take ownership of services from design through deployment and iteration.</li>
<li>Contribute to infrastructure discussions, including DevOps, deployment pipelines, and runtime environments.</li>
<li>Maintain high code quality through testing, reviews, and strong Git-based workflows.</li>
</ul>
Requirements<ul><li>
7+ years of professional backend engineering experience.</li></ul><ul>
<li>Strong expertise in TypeScript for backend systems.</li>
<li>Production experience with Bun and Elysia (or the ability to ramp up extremely quickly).</li>
<li>Advanced Python experience for backend services, pipelines, or AI-related workflows.</li>
<li>Strong experience building and maintaining microservice architectures.</li>
<li>Proven experience integrating external APIs and third-party systems.</li>
<li>Experience designing data pipelines, processing flows, and behavior-driven systems.</li>
<li>Solid understanding of PostgreSQL, schema design, and query optimization.</li>
<li>Experience working in startup environments with fast iteration cycles.</li>
<li>Strong ownership mindset &mdash; comfortable owning entire backend workflows and systems.</li>
<li>Good understanding of DevOps concepts, infrastructure, and deployment pipelines (hands-on or close collaboration).</li>
<li>Proficient with Git and team-based development workflows.</li>
<li>Ability to collaborate deeply with product and frontend teams to build cohesive user experiences.</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3><ul>
<li>Experience with event-driven systems, queues, or workflow orchestration.</li>
<li>Familiarity with personalization engines, recommendation systems, or user modeling.</li>
<li>Experience working alongside AI/LLM-powered systems.</li>
<li>Background in analytics, experimentation platforms, or behavioral tracking.</li>
</ul>
Benefits<ul>
<li>
Own and shape the backend of a category-defining AI product.</li>
<li>Work on complex, real-world systems that blend data, AI, and product logic.</li>
<li>High autonomy and trust &mdash; you build it, you own it.</li>
<li>Collaborate with a strong product and frontend team in a fast-moving environment.</li>
<li>Work from a modern Dubai office</li>
<li>Be part of building something ambitious, technically deep, and globally impactful.</li></ul></div>

Senior Backend Engineer

Microsoft

<div>Overview 
Are you curious, enthusiastic about infrastructure, and ready to solve complex challenges in the AI era? Join us as a Cloud &amp; AI Solution Engineer focused on the Azure Platform for commercial customers at Microsoft.
In this technical sales role, you will help customers design secure, scalable, and resilient cloud architectures that support their modernization goals. Using Azure&rsquo;s IaaS and PaaS services, you will guide organizations through migration, modernization, and optimization &mdash; translating technical capabilities into significant business outcomes.
You will collaborate across teams to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure. 
As a Cloud &amp; AI Solution Engineer for the Azure Platform, you will play a key role in helping customers modernize their infrastructure and unlock the full value of Microsoft&rsquo;s cloud. You will work directly with technical and business stakeholders to design and implement secure, scalable, and resilient architectures that support AI workloads and business-critical applications.
You bring deep expertise in migrating core workloads&mdash;including Windows, SQL Server, Linux, PostgreSQL, and Oracle&mdash;to Azure. Beyond migration, you lead customers through modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc, while exploring how AI and intelligent agents can accelerate legacy transformation. 
You also apply strong networking knowledge to design hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures that meet enterprise performance and compliance needs. You complement this with trusted partner solutions like NetApp, VMware, RedHat, and SAP to ensure a secure, optimized, and scalable migration experience. 
As you join the team, You will have the opportunity to grow your technical expertise with access to a wide range of Microsoft learning resources&mdash;including support for earning industry-recognized certifications across Azure infrastructure, security, and AI. 
 
With a solid understanding of Azure security services and compliance frameworks you will help customers meet regulatory requirements and build Cloud environments that are ready for the future.
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 
Responsibilities 
<ul><li>
Drive technical sales by using technical demos, proofs of concept, and technical architecture accelerators to influence solution design and enable deployments.</li><li>
Lead architecture sessions and technical workshops to accelerate Azure adoption.</li><li>
Build trusted relationships with platforms leads to co-design secure, scalable solutions.</li><li>
Resolve technical blockers by collaborating with engineering and sharing customer insights.</li><li>
Maintain expertise in cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance.</li><li>
Deepen knowledge of enterprise apps (SAP, Oracle) and Azure VMware Solution (AVS).</li><li>
Represent Microsoft in customer forums and technical communities through thought leadership.</li></ul> 

Qualifications 
Required Qualifications (RQs)<ul><li>
5+ years technical pre-sales or technical consulting experience<ul><li>
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience</li><li>
OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience</li><li>
OR equivalent experience</li></ul></li><li>
Proven experience in cloud infrastructure, including migration of workloads such as Windows, SQL, Linux, and PostgreSQL.</li><li>
Experience designing or selling solutions involving hybrid networking, secure connectivity, or network performance optimization in enterprise environments.</li><li>
Hands-on experience with Azure Kubernetes Service (AKS), App Platform, and containerization strategies.</li><li>
Strong understanding of Azure services, including security, compliance, and hybrid cloud scenarios.</li><li>
Ability to engage technical and business stakeholders to design and deploy scalable, secure cloud solutions.</li></ul>
Preferred Qualifications (PQs):<ul><li>
6+ years technical pre-sales, technical consulting, or technology delivery, or related experience<ul><li>
OR equivalent experience</li></ul></li><li>
4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management</li><li>
Familiarity with enterprise platforms such as SAP, Oracle, and ISVs like NetApp, VMware, and RedHat.</li><li>
Knowledge of regulatory frameworks such as GDPR, HIPAA, and Public Sector compliance standards.</li></ul> 
 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Solution Engineering- Cloud & AI Infrastructure

Al Ghurair

<div>
 
 Job Description
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Independently design and implement end-to-end AI, Generative AI, and agentic AI solutions, taking full technical ownership of architecture, development, deployment, and optimization.
 </li>
 <li>
 Architect and build frameworks for autonomous AI agents capable of planning, reasoning, and executing multi-step tasks using APIs, tools, enterprise systems, and external services.
 </li>
 <li>
 Develop robust integration patterns for LLMs, ML models, and agentic systems with enterprise applications, including databases, APIs, and legacy platforms, enabling intelligent tool-using agents.
 </li>
 <li>
 Hands-on model selection, fine-tuning, evaluation, and optimization for LLMs, transformer-based architectures, diffusion models, and other advanced AI models.
 </li>
 <li>
 Design advanced system components such as agent memory, reflection loops, vector stores, and long-horizon planning mechanisms to support scalable agentic intelligence.
 </li>
 <li>
 Work closely with cross-functional stakeholders to identify automation and augmentation opportunities, translating business needs into AI architecture and actionable solution designs.
 </li>
 <li>
 Implement strong governance, compliance, and Responsible AI controls, ensuring transparency, security, and safe deployment of all autonomous and generative systems.
 </li>
 <li>
 Define and operationalize monitoring, observability, and performance evaluation frameworks for continuous improvement of AI models and agentic systems.
 </li>
 <li>
 Drive cost optimization strategies across AI infrastructure, training pipelines, inference workloads, and cloud resource utilization.
 </li>
 <li>
 Ensure measurable value realization by validating that implemented AI solutions deliver tangible business impact and align with organizational objectives.
 </li>
 <li>
 Collaborate with the AI/ML engineering community and provide technical direction when needed, while maintaining personal hands-on ownership of core development activities.
 
 
 </li>
 </ul>
 Education and Qualification
 
 
 <ul>
 <li>
 Master&rsquo;s degree (preferred) or Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
 </li>
 <li>
 Advanced certifications or specialization in AI/ML architecture, cloud platforms, or generative AI technologies are a plus
 </li>
 <li>
 Certification in Databricks, Azure AI Engineer or Azure Data Scientist Associate
 </li>
 <li>
 8-10 years of experience in AI/ML solution design and architecture, including at least 4+ years in Generative AI and agentic AI systems.
 </li>
 <li>
 Proven track record in architecting large-scale AI platforms, integrating LLMs, and designing multi-agent systems.
 </li>
 <li>
 Strong proficiency in Python and deep understanding of ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face Transformers).
 </li>
 <li>
 Expertise in LLMs (e.g., GPT, Claude, LLaMA), vector databases, and prompt engineering strategies.
 </li>
 <li>
 Hands-on experience with agentic frameworks (e.g., LangChain Agents, AutoGPT, OpenAgents, CrewAI) and orchestration of autonomous agents.
 </li>
 <li>
 Deep knowledge of planning, reasoning, and decision-making architectures for autonomous systems.
 </li>
 <li>
 Experience in cloud-native AI architecture on Azure, including Azure ML/AI platform, Copilot Studio, and Azure Foundry.
 </li>
 <li>
 Strong background in containerization and orchestration (Docker, Kubernetes) for scalable AI deployments.
 </li>
 <li>
 Familiarity with reinforcement learning, symbolic reasoning, and neuro-symbolic AI approaches.
 </li>
 <li>
 Experience with real-time data processing, event-driven architectures, and MLOps best practices for production-grade AI systems.
 </li>
 </ul>
</div>

Senior Manager - AI & ML

NTT DATA

<div>Make an impact with NTT DATA 
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion &ndash; it&rsquo;s a place where you can grow, belong and thrive.<div>
Your day at NTT DATA</div><div></div><div>
As a Senior Technical Architect, you will be at the forefront of designing and delivering next-generation data center solutions that power enterprise transformation. Your day will involve architecting modern infrastructures that span compute, storage, virtualization, and AI-driven workloads, ensuring scalability, resilience, and alignment with industry best practices. You will translate complex technical requirements into robust architectures, blending innovation with operational efficiency.</div><div></div><div>
You will lead customer workshops, gather business and technical requirements, and craft high-level and low-level designs that form the backbone of Software-Defined Data Centers (SDDC). From developing BoQs and technical proposals to creating implementation roadmaps, you will play a pivotal role in shaping solutions that meet client objectives. Your expertise will extend to building financial models, TCO/ROI justifications, and supporting the sales team through RFP responses and solution defense.</div><div></div><div>
Collaboration will be key&mdash;working closely with vendor partners, engaging in PoC initiatives, and staying ahead of emerging technologies such as AI-ready data centers and GPU-based architectures. Your ability to simplify complex concepts for business stakeholders, coupled with strong pre-sales acumen, will ensure that every engagement delivers strategic value and positions NTT DATA as a trusted advisor in the UAE market.</div><div> 
Key Responsibilities<ul><li>
Lead the design and architecture of Software-Defined Data Centers (SDDC) and modern infrastructure solutions.</li><li>
Build end-to-end data center architectures, including compute, storage, virtualization, network fabrics, and AI workloads.</li><li>
Develop BoQ, solution designs, technical proposals, HLD/LLD, and implementation roadmaps.</li><li>
Conduct customer workshops and requirement-gathering sessions across business and technical teams.</li><li>
Create financial models, BOM costings, and TCO/ROI business justifications.</li><li>
Support the sales team in RFP/RFI responses and competitive positioning.</li><li>
Collaborate with vendor partners and maintain strong relationships across the UAE ecosystem.</li><li>
Lead PoC engagements for storage, virtualization, HCI, and AI infrastructure stacks.</li><li>
Ensure solution scalability, high availability, performance, and alignment with industry best practices.</li><li>
Stay updated on emerging technologies in AI data center, GPU computing, and next-gen storage.</li></ul>
Technical Expertise<ul><li>
Deep expertise in Data Center Infrastructure, including:<ul><li>
Compute &amp; Servers</li><li>
Storage Systems (SAN, NAS, Object)</li><li>
Virtualization (VMware, Hyper-V, KVM)</li><li>
Software-Defined Data Center (SDDC)</li><li>
Hyperconverged Infrastructure (HCI)</li><li>
Backup, DR, Ransomware Protection, and Data Mobility</li><li>
Data Center Networks &amp; Fabric Architectures</li></ul></li><li>
Proven experience designing AI-ready data centers, including GPU-based clusters and high-performance storage.</li><li>
Strong knowledge of infrastructure automation, orchestration, and cloud-ready architectures.</li><li>
Familiarity with colocation, edge, DR sites, and hybrid DC models.</li></ul>
Vendor Experience<ul><li>
Compute &amp; Infrastructure: HPE, Cisco UCS, Dell PowerEdge</li><li>
Storage: NetApp, Pure Storage, Dell EMC, HPE Storage</li><li>
Virtualization &amp; SDDC: VMware vSphere/vSAN/NSX, Nutanix, Red Hat</li><li>
AI Data Center: NVIDIA GPU stacks, DGX, AI networking fabrics</li><li>
Knowledge of backup platforms like Veritas, Veeam, Rubrik is a plus.</li></ul>
Business &amp; Communication Skills<ul><li>
Strong communication skills&mdash;able to simplify complex data center concepts for business stakeholders.</li><li>
Experience working directly with enterprise customers in the UAE market is mandatory.</li><li>
Ability to articulate value propositions around performance, efficiency, and cost optimization.</li><li>
Skilled in writing proposals, HLDs/LLDs, and presenting to C-level audiences.</li><li>
Strong analytical and financial modeling skills for data center cost and sizing.</li></ul>
Required experience:<ul><li>
8 &ndash;12+ years of experience in data center technologies, with at least 5+ years in the UAE.</li><li>
Relevant certifications (VMware VCP/VCAP, HPE ASE/Master, Dell/NetApp/Pure certs, NVIDIA or AI infrastructure certs) are a major plus.</li><li>
Ability to work in fast-paced pre-sales environments and lead solution strategy end-to-end.</li><li>
Proactive, self-driven, and highly technical with a strong appetite for emerging AI infrastructure trends.</li></ul></div>
Workplace type:
On-site Working
About NTT DATA 
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world&rsquo;s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&amp;D.
Equal Opportunity Employer 
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters&mdash;whether in writing or by phone&mdash;in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.</div>

Solutions Architect (AI-Powered Data Center)

CNS Middle East

<div>
 CNS is a technology company that powers the future by providing digital solutions essential to support all enterprise and human development. While growing and managing a robust pool of supplier-partners for the benefit of our clients has always been a priority, we are constantly re-inventing ourselves.
 
 
 Founded in 1987 with more than 30 years of experience, CNS employs over 320 employees including more than 250 certified engineers. We offer in-depth expertise and a range of best-in-class products that support the digital transformation of all major industries. With offices in three countries, we have an extensive reach into, and regional knowledge of the Middle East markets.
 
 
 A shift into levering our many years of experience to develop pioneering software in-house will add yet another dimension to our highly innovative solutions-portfolio.
 
 
 
 Job Description
 
 
 
 The Data Center Pre-Sales Engineer is responsible for designing end-to-end data center solutions&mdash;covering compute, storage, networking, virtualization, and &mdash;while also providing technical expertise in passive infrastructure and disaster recovery (DR) resiliency. You will work closely with sales teams, customers, and technical stakeholders to understand business needs, propose the right solutions, and ensure seamless integration into existing environments. including structured cabling, racks, power, cooling, containment, and DC layout design.
 
 
 The role supports sales teams by translating customer requirements into accurate technical proposals, BOQs, and solution architectures.
 
 
 
 Key Responsibilities:
 
 
 
 
 Presales &amp; Technical Consultation:
 
 
 
 <ul>
 <li>
 Engage with customers to understand their IT infrastructure, workloads, and business challenges.
 </li>
 <li>
 Conduct discovery sessions to assess current environments and identify gaps in storage, backup, virtualization, and DR strategies.
 </li>
 <li>
 Provide technical expertise on system architecture, high availability, and scalability
 
 
 </li>
 </ul>
 
 Solution Design &amp; Architecture:
 
 
 
 <ul>
 <li>
 Design and propose multi-vendor solutions that are tailored to customer needs, covering compute, storage, backup, and DR.
 </li>
 <li>
 Architect solutions leveraging technologies from VMware, Hyper-V, Veeam, Commvault, NetApp, Dell EMC, HPE, Pure Storage, Veritas, Zerto, Rubrik, and Cohesity.
 </li>
 <li>
 Create high-level and low-level designs (HLD/LLD) for proposed solutions.
 </li>
 <li>
 Ensure solutions align with industry best practices for security, performance, and scalability.
 
 
 </li>
 </ul>
 
 Technical Presentations &amp; Demonstrations:
 
 
 
 <ul>
 <li>
 Conduct product demos, POCs (Proof of Concepts), and workshops for customers.
 </li>
 <li>
 Develop technical collateral such as presentations, whitepapers, and use-case scenarios.
 </li>
 <li>
 Deliver engaging presentations to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 RFP/RFI &amp; Proposal Development:
 
 
 
 <ul>
 <li>
 Work with sales teams to respond to RFPs/RFIs, ensuring the right mix of solutions is proposed.
 </li>
 <li>
 Draft Bill of Materials (BoM) and technical proposals with detailed justifications.
 </li>
 <li>
 Provide competitive analysis of different vendors&rsquo; solutions.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Knowledge Sharing:
 
 
 
 <ul>
 <li>
 Work with cross-functional teams including sales, professional services, and support teams.
 </li>
 <li>
 Engage with vendor alliances to stay updated on product roadmaps and partner certifications.
 </li>
 <li>
 Conduct internal training sessions for sales teams and junior engineers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Technical Skills &ndash; Active Data Center
 
 
 
 <ul>
 <li>
 Compute platforms: HPE, Dell, Cisco UCS
 </li>
 <li>
 Storage: SAN/NAS (HPE, Dell EMC, NetApp, Pure)
 </li>
 <li>
 Virtualization: VMware vSphere, Hyper-V
 </li>
 <li>
 HCI: Nutanix, VxRail, Azure Stack HCI
 </li>
 <li>
 Backup: Veeam, Commvault
 </li>
 <li>
 Networking: L2/L3, SAN (Brocade/Cisco), ToR/leaf-spine basics
 
 
 </li>
 </ul>
 
 Technical Skills &ndash; Passive Infrastructure
 
 
 
 <ul>
 <li>
 Structured cabling standards (Cat6/6A, Fiber OM3/OM4, SM)
 </li>
 <li>
 Rack and cabinet design
 </li>
 <li>
 Power planning (UPS, PDU, redundancy, load distribution)
 </li>
 <li>
 Cooling concepts (CRAC/CRAH, in-row, hot/cold aisle containment)
 </li>
 <li>
 Understanding of DCIM tools
 </li>
 <li>
 Knowledge of TIA-942, Uptime, ISO standards
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 HPE ASE / Dell DCA / Cisco CCNP / VMware VCP
 </li>
 <li>
 Nutanix NCP/NSE / Veeam VMSP/VMCE
 </li>
 <li>
 Storage &amp; Backup: NetApp NCDA/NCIE, Dell EMC Proven Professional, Veeam VMCE, Commvault Certified Engineer.
 
 
 </li>
 </ul>
 
 Data center certifications:
 
 
 
 <ul>
 <li>
 CDCP
 
 
 </li>
 </ul>
 
 Good to Have
 
 :
 
 
 <ul>
 <li>
 Panduit/CommScope cabling knowledge
 </li>
 <li>
 BICSI Installer / Technician
 </li>
 <li>
 Azure/AWS certifications (foundation or associate)
 </li>
 <li>
 Cloud &amp; Hybrid IT: Experience with Azure, AWS, Google Cloud in backup/DR use cases.
 </li>
 <li>
 AI Infrastructure
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong presentation and communication skills.
 </li>
 <li>
 Ability to simplify complex solutions for customers.
 </li>
 <li>
 Customer-centric and solution-oriented approach.
 </li>
 <li>
 Excellent troubleshooting and analytical skills.
 
 
 </li>
 </ul>
 
 Preferred Knowledge :
 
 
 
 <ul>
 <li>
 ITIL &amp; Cloud: ITIL4 Foundation,
 </li>
 <li>
 Microsoft Azure Fundamentals, AWS Certified Solutions Architect Associate.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Compliance with policies and procedures based on the ISO standards adopted by CNS.
 
</div>

Data center Presales/Solution Engineer

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
 
Requirements: 
<ul>
<li>Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.</li>
<li>5+ years of experience in AI/ML strategy, leadership, and delivery.</li>
<li>Minimum of 12 years of experience is required</li>
<li>Proven ability to build and scale enterprise-level AI/LLM platforms.</li>
<li>Technical & Strategic Requirements</li>
<li>Strategic AI Leadership:</li>
<li>Defines and drives AI roadmaps aligned with corporate goals.</li>
<li>Oversees model lifecycle from experimentation to production.</li>
<li>LLM & NLP (Architect Level):</li>
<li>Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.</li>
<li>Leads fine-tuning or domain-specific pretraining using proprietary datasets.</li>
<li>Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.</li>
<li>Defines governance, compliance, and security standards for LLM deployments.</li>
<li>Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.</li>
<li>Infrastructure & Governance:</li>
<li>Owns data governance policies, feature stores, and model observability infrastructure.</li>
<li>Collaborates with DevOps and Security to ensure scalability and resilience.</li>
<li>Team & Stakeholder Leadership:</li>
<li>Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).</li>
<li>Communicates directly with executive management and non-technical stakeholders.</li>
<li>Evaluates vendors and partnerships for AI acceleration.</li>
<li>Leadership Competencies</li>
<li>Visionary mindset driving innovation across business units.</li>
<li>Excellent executive communication and influence skills.</li>
<li>Focused on measurable ROI, scalability, and ethical AI.</li>
<li>Mentors senior scientists, defining best practices and research direction.</li>
</ul>

Lead Data Scientist

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