communication associate

Datamatics Global Services Ltd

<div><h3 class="jobSectionHeader"><b>Role Overview</b></h3><p>
We are looking for a Cloud Platform Engineer (OCI) with<b> 3 &ndash; 6</b> years of experience to build, manage, automate, and support enterprise cloud infrastructure environments. The role focuses primarily on Oracle Cloud Infrastructure (OCI) and involves provisioning, operations, automation, security, monitoring, and migration activities.</p><p>
The ideal candidate should have hands-on experience with OCI services, Terraform, Kubernetes, CI/CD pipelines, cloud security, and platform operations, along with working knowledge of at least one secondary cloud platform such as AWS, Azure, or GCP.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul><li><p>
Provision and configure OCI resources including Compute, Storage, VCN, Load Balancer, DBCS, and Autonomous Database.</p></li><li><p>
Implement and manage OCI networking components such as VCNs, subnets, NSGs, route tables, gateways, VPNs, FastConnect, and DNS.</p></li><li><p>
Develop and maintain Infrastructure-as-Code (Terraform / OCI Resource Manager) modules.</p></li><li><p>
Automate operational tasks using Python, Bash, Ansible, and cloud-native tools.</p></li><li><p>
Support CI/CD deployments using OCI DevOps, Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.</p></li><li><p>
Monitor cloud environments using OCI Monitoring, Logging, APM, Prometheus, Grafana, ELK, Datadog, or Dynatrace.</p></li><li><p>
Perform routine operations including patching, backups, certificate renewals, capacity checks, and incident resolution.</p></li><li><p>
Implement cloud security controls including IAM policies, MFA, Vault/KMS, encryption, Bastion, Cloud Guard, Security Zones, and Vulnerability Scanning.</p></li><li><p>
Support cloud migration and modernization initiatives to OCI.</p></li><li><p>
Assist application teams deploying workloads on OKE, WebLogic, Oracle DB, Functions, and API Gateway.</p></li><li><p>
Contribute to cost optimization, automation, and operational documentation.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Required Technical Skills</b></h3><h3 class="jobSectionHeader"><b>
Oracle Cloud Infrastructure (OCI)</b></h3><ul><li>
OCI Compute, Block/Object/FSS Storage</li><li>
VCN, NSGs, Route Tables, Gateways, DRG, Peering</li><li>
Load Balancer, WAF, FastConnect, IPSec VPN</li><li>
OCI IAM, Compartments, Policies, Federation</li><li>
OCI Vault, Cloud Guard, Security Zones, Data Safe</li><li>
Autonomous Database, DBCS, Exadata (operational awareness)</li><li>
OKE (Oracle Kubernetes Engine)</li><li>
OCI DevOps, OCIR, Functions, API Gateway</li><li>
OCI Monitoring, Logging, APM, Operations Insights</li></ul><h3 class="jobSectionHeader"><b>
DevOps &amp; Automation</b></h3><ul><li>
Terraform (modules, workspaces, remote state)</li><li>
Ansible</li><li>
Docker &amp; Kubernetes</li><li>
Helm</li><li>
Git &amp; GitOps</li></ul><h3 class="jobSectionHeader"><b>
CI/CD</b></h3><ul><li>
OCI DevOps</li><li>
Jenkins</li><li>
GitHub Actions</li><li>
GitLab CI</li><li>
Azure DevOps</li></ul><h3 class="jobSectionHeader"><b>
Scripting</b></h3><ul><li>
Python</li><li>
Bash</li><li>
PowerShell (basic awareness acceptable)</li></ul><h3 class="jobSectionHeader"><b>
Secondary Cloud (Preferred)</b></h3><ul><li>
AWS</li><li>
Azure</li><li>
Google Cloud Platform (GCP)</li></ul><h3 class="jobSectionHeader"><b>
Qualifications &amp; Experience</b></h3><ul><li>
Bachelor&rsquo;s degree in Computer Science, IT, Engineering, or related field.</li><li>
3&ndash;6 years of hands-on cloud/platform engineering experience.</li><li>
Minimum 2 years of OCI experience (or strong cloud experience with demonstrable OCI exposure).</li><li>
Experience supporting production environments, incident management, and change management.</li></ul><h3 class="jobSectionHeader"><b>
Certifications</b></h3>
Required<p>
At least one OCI Associate certification</p><ul><li>
OCI Foundations Associate (1Z0-1085)</li><li>
OCI Architect Associate (1Z0-1072) or OCI Operations Associate (1Z0-1067)</li></ul>
Preferred<p>
Additional certifications</p><ul><li>
OCI Architect Professional</li><li>
AWS SAA / Azure AZ-104 / GCP ACE</li><li>
Terraform Associate</li><li>
CKA</li><li>
RHCSA / Oracle Linux Certification</li></ul><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><ul><li><p>
Strong problem-solving and troubleshooting abilities.</p></li><li><p>
Good communication and stakeholder management skills.</p></li><li><p>
Ability to work in cross-functional teams.</p></li><li><p>
Ownership, accountability, and service-oriented mindset.</p></li><li><p>
Continuous learning attitude.</p></li></ul><p>
</p><p>INi2QdqRko</p></div>

Oracle Cloud Platform Engineer (OCI)

Qiddiya | القدية

<div>
 The Associate General Counsel at Qiddiya Investment Company will be responsible for providing comprehensive legal support and guidance across the company's various projects and subsidiaries, including Qiddiya Park Operations LLC&mdash;which oversees the development of major entertainment projects such as Six Flags Theme Park and Aquarabia Water Park.
 <br/>
 <br/>
 This role requires a skilled legal professional with deep expertise in corporate, commercial, and infrastructure law, especially within the leisure and IT sectors focusing on consumer-facing products and systems. The Associate General Counsel will act as a trusted advisor, collaborating closely with multiple departments to mitigate legal risks and ensure compliance with applicable laws and regulations.
 <br/>
 <br/>
 Key responsibilities include advising on a broad range of transactional and operational matters, managing external counsel relationships, overseeing dispute resolution efforts, and contributing to the overall legal strategy to safeguard the company's interests.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide timely, accurate legal advice and support to internal teams and subsidiaries
  </li>
  <li>
   Assist in developing and implementing legal frameworks and processes that protect company assets and ensure compliance
  </li>
  <li>
   Lead negotiation and management of contracts and other legal transactions
  </li>
  <li>
   Oversee claims and dispute resolution processes, coordinating with external counsel as necessary
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Law degree (LL.B or equivalent) is required; advanced degree (LL.M or Juris Doctor) preferred
  </li>
  <li>
   Minimum of 8 years of relevant legal experience, particularly in entertainment, infrastructure, or related sectors
  </li>
  <li>
   Admission to practice law in the Kingdom of Saudi Arabia is preferred; admission in a common law jurisdiction is a plus
  </li>
  <li>
   Strong negotiation, communication, and interpersonal skills, with the ability to work effectively across multiple teams
  </li>
  <li>
   Excellent analytical skills and meticulous attention to detail
  </li>
  <li>
   Ability to work independently and collaboratively within a dynamic environment
  </li>
  <li>
   Bilingual proficiency in Arabic and English highly desirable
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Comprehensive benefits package
</div>


Associate General Counsel

Noventiq GCC

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Noventiq is expanding its team &amp; is on the lookout for goal-oriented, self-driven &amp; motivated individuals, to support the next phase of company&rsquo;s growth strategy.
 <br/>
 <br/>
 Industry: IT/Cloud Services
 <br/>
 <br/>
 Location: Riyadh, KSA
 <br/>
 <br/>
 Job Title &ndash; Senior Solutions Architect
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Senior Solutions Architect &ndash; Data &amp; AI
 </strong>
 who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.
 <br/>
 <br/>
 This role requires a
 <strong>
  self-driven, client-facing architect
 </strong>
 who is comfortable owning the entire solution lifecycle&mdash;from discovery to proposal&mdash;while specializing in
 <strong>
  modern data platforms, analytics, and AI/ML solutions on Azure
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Fluency in Arabic is mandatory
 </strong>
 , as the role will involve direct engagement with Middle East customers.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Client Engagement &amp; Solution Ownership
  </li>
  <li>
   Act as the primary solutions architect in customer discussions&mdash;owning conversations end-to-end without dependency.
  </li>
  <li>
   Lead CXO-level and technical workshops, translating business challenges into scalable Data &amp; AI solutions.
  </li>
  <li>
   Independently drive solution discovery, architecture definition, and proposal creation.
  </li>
  <li>
   Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.
  </li>
  <li>
   Data, AI &amp; Application Architecture
  </li>
  <li>
   Design and architect end-to-end enterprise solutions, including:
  </li>
  <ul>
   <li>
    Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)
   </li>
   <li>
    AI/ML solutions (predictive analytics, NLP, GenAI, copilots)
   </li>
   <li>
    Application architectures (microservices, APIs, event-driven systems)
   </li>
  </ul>
  <li>
   Integrate data platforms with enterprise applications (CRM, ERP, custom apps).
  </li>
  <li>
   Define data strategies, API strategies, and application integration models.
  </li>
  <li>
   Ensure solutions are scalable, secure, high-performing, and cost-optimize
  </li>
  <li>
   Pre-Sales Leadership
  </li>
  <li>
   Lead the technical component of bids, proposals, and RFP responses.
  </li>
  <li>
   Develop high-quality solution artifacts:
  </li>
  <ul>
   <li>
    Architecture diagrams
   </li>
   <li>
    Cost models &amp; TCO optimization
   </li>
   <li>
    Implementation roadmaps
   </li>
   <li>
    Value propositions aligned to business outcomes
   </li>
  </ul>
  <li>
   Participate in solution demos, PoCs, and design validations.
  </li>
  <li>
   Business &amp; Strategic Alignment
  </li>
  <li>
   Translate customer business goals into measurable data and AI outcomes.
  </li>
  <li>
   Identify opportunities for:
  </li>
  <ul>
   <li>
    Data modernization
   </li>
   <li>
    AI adoption and innovation
   </li>
   <li>
    Upsell/cross-sell within existing accounts
   </li>
  </ul>
  <li>
   Balance technical excellence with commercial viability.
  </li>
  <li>
   Collaboration &amp; Delivery Alignment
  </li>
  <li>
   Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.
  </li>
  <li>
   Provide architectural oversight during initial delivery phases where needed.
  </li>
  <li>
   Mentor junior architects and engineers on Data &amp; AI, and application architecture
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Expertise
  <br/>
  <br/>
 </strong>
 <strong>
  Technical &ndash; Data &amp; AI
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong expertise in Azure Data &amp; AI ecosystem, including:
  </li>
  <ul>
   <li>
    Azure Data Factory / Synapse / Microsoft Fabric
   </li>
   <li>
    Azure Databricks
   </li>
   <li>
    Azure Machine Learning &amp; AI Services (incl. OpenAI)
   </li>
  </ul>
  <li>
   Deep understanding of:
  </li>
  <ul>
   <li>
    Data architecture patterns (Lakehouse, data mesh, etc.)
   </li>
   <li>
    Data governance, security, and compliance
   </li>
   <li>
    AI/ML lifecycle and MLOps
   </li>
  </ul>
  <li>
   Experience in Azure-native and hybrid architectures.
   <br/>
  </li>
 </ul>
 <strong>
  Technical &ndash; Application &amp; Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience in application architecture, including:
  </li>
  <ul>
   <li>
    Microservices and distributed systems architecture
   </li>
   <li>
    API design and management (REST, GraphQL, API gateways)
   </li>
   <li>
    Event-driven architectures (Kafka, messaging systems)
   </li>
  </ul>
  <li>
   Experience with application modernization:
  </li>
  <ul>
   <li>
    Monolith to microservices transformation
   </li>
   <li>
    Containerization and orchestration (Docker, Kubernetes)
   </li>
  </ul>
  <li>
   Familiarity with integration patterns:
  </li>
  <ul>
   <li>
    Data + application integration (ETL + APIs)
   </li>
   <li>
    Middleware and enterprise integration platforms
   </li>
  </ul>
  <li>
   Understanding of frontend/backend separation and digital application stacks
   <br/>
  </li>
 </ul>
 <strong>
  Professional
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven track record of independently handling pre-sales engagements and closing complex deals.
  </li>
  <li>
   Strong ability to articulate business value, not just technical solutions.
  </li>
  <li>
   Experience working with Middle East clients is highly preferred.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Language
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in Arabic (spoken and written) &ndash; mandatory
  </li>
  <li>
   Strong English communication skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of experience in technology consulting / architecture
  </li>
  <li>
   4+ years in Data &amp; AI solutions architecture
  </li>
  <li>
   Strong pre-sales or consulting background with customer-facing roles
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Certifications (preferred But Not Required)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Microsoft Certified: Azure Solutions Architect Expert
  </li>
  <li>
   Microsoft Certified: Azure Data Engineer Associate
  </li>
  <li>
   Microsoft Certified: Azure AI Engineer Associate
  </li>
  <li>
   Microsoft Certified: Designing Azure Solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Traits for Success
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Self-starter with the ability to operate independently in high-stakes environments
  </li>
  <li>
   Strong storytelling and executive communication skills
  </li>
  <li>
   Commercially aware with a solution-selling mindset
  </li>
  <li>
   Passion for Data, AI, and emerging technologies
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia
</div>


Senior Solutions Architect - Data & AI

Bayut KSA - بيوت السعودية

<div>
 <p>
  Bayut is the number one property portal in the Kingdom, connecting millions of users across the country. We are committed to delivering the best online search experience. As part of Dubizzle Group, Bayut is alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 </p>
 <p>
  As a Training Associate, you will support the planning, coordination, and delivery of training programs across the organization. This role is ideal for a fresh graduate who is passionate about learning and development and is eager to build a career in training and employee development.
  <br/>
 </p>
 <p>
  In this role, you will:
 </p>
 <ul>
  <ul>
   <li>
    Assist in coordinating training programs aligned with business needs.
   </li>
   <li>
    Support training logistics, including scheduling sessions, sending invitations, tracking attendance, and collecting feedback.
   </li>
   <li>
    Help prepare training materials, presentations, and learning content.
   </li>
   <li>
    Maintain training records and ensure accurate documentation.
   </li>
   <li>
    Support in developing basic reports and dashboards to track training activities and effectiveness.
   </li>
   <li>
    Assist in delivering training sessions and workshops when required.
   </li>
   <li>
    Work closely with managers to support training needs and learning initiatives.
   </li>
   <li>
    Continuously learn and contribute to improving training processes and tools.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Bachelor's degree in Business Administration, HR, or any related field.
   </strong>
  </li>
  <li>
   <strong>
    Fresh graduate or up to 1 year of experience in training, HR, or administration.
   </strong>
  </li>
  <li>
   Strong communication skills in English (Arabic is a plus).
  </li>
  <li>
   Basic knowledge of Microsoft Excel (PowerPoint is a plus).
  </li>
  <li>
   Interest in training, learning, and development.
  </li>
  <li>
   Good organizational skills and attention to detail.
  </li>
  <li>
   Confident and willing to learn presentation and facilitation skills.
  </li>
  <li>
   Proactive, responsible, and a team player
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   High-performing and fast-paced work environment
  </li>
  <li>
   Comprehensive Health Insurance
  </li>
  <li>
   Rewards &amp; Recognition
  </li>
  <li>
   Learning &amp; Development
   <br/>
  </li>
 </ul>
 <p>
  Bayut is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 </p>
 <p>
  #KSABayut
 </p>
</div>


Training Associate (Tamheer)

<div><h1 class="jobSectionHeader"><b>Senior AI Engineer (Arabic Speaker)</b></h1><p><b>
Location:</b> Riyadh, Saudi Arabia<br>
<b>Experience:</b> 6&ndash;8 Years<br>
<b>Employment Type:</b> Full-Time / Contract<br>
<b>Language Requirement:</b> Native or Fluent Arabic Speaker (Mandatory)</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We are seeking a highly skilled <b>Senior AI Engineer (Arabic Speaker)</b> to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in <b>Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms</b>, with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions.</p><p>
The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
AI &amp; Machine Learning Development</b></h3><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>
Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>
Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>
Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>
Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI Engineering</b></h3><ul><li>
Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>
Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>
Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>
Implement vector databases and semantic search solutions.</li><li>
Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><h3 class="jobSectionHeader"><b>
MLOps &amp; AI Operations</b></h3><ul><li>
Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>
Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>
Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>
Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>
Implement scalable AI platforms supporting multiple business units.</li></ul><h3 class="jobSectionHeader"><b>
Cloud &amp; Platform Engineering</b></h3><ul><li>
Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>
Manage containerized AI environments using Docker and Kubernetes.</li><li>
Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>
Optimize cloud resources, performance, and operational costs.</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Integration</b></h3><ul><li>
Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>
Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>
Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><h3 class="jobSectionHeader"><b>
Stakeholder Management</b></h3><ul><li>
Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>
Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>
Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Artificial Intelligence &amp; Machine Learning</b></h3><ul><li>
Machine Learning</li><li>
Deep Learning</li><li>
Natural Language Processing (NLP)</li><li>
Predictive Analytics</li><li>
Computer Vision (preferred)</li><li>
Reinforcement Learning (preferred)</li></ul><h3 class="jobSectionHeader"><b>
Generative AI</b></h3><ul><li>
Large Language Models (LLMs)</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Prompt Engineering</li><li>
AI Agents &amp; Multi-Agent Systems</li><li>
Fine-Tuning and Model Optimization</li><li>
Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>
LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><h3 class="jobSectionHeader"><b>
MLOps</b></h3><ul><li>
MLflow</li><li>
Kubeflow</li><li>
Airflow</li><li>
Model Monitoring &amp; Observability</li><li>
CI/CD for ML</li><li>
Feature Stores</li><li>
Model Registry</li><li>
Experiment Tracking</li><li>
Model Governance</li></ul><h3 class="jobSectionHeader"><b>
Cloud Platforms</b></h3><ul><li>
Microsoft Azure</li><li>
AWS</li><li>
Google Cloud Platform (GCP)</li><li>
Oracle Cloud Infrastructure (OCI) &ndash; Preferred</li></ul><h3 class="jobSectionHeader"><b>
Containers &amp; DevOps</b></h3><ul><li>
Docker</li><li>
Kubernetes</li><li>
Git</li><li>
GitHub Actions</li><li>
Jenkins</li><li>
Terraform</li><li>
Infrastructure as Code</li></ul><h3 class="jobSectionHeader"><b>
Programming Languages</b></h3><ul><li>
Python (Mandatory)</li><li>
SQL</li><li>
Bash/Shell Scripting</li><li>
Java or C# (Preferred)</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>
Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li></ul><h2 class="jobSectionHeader"><b>
Experience Requirements</b></h2><ul><li>
6&ndash;8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>
Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>
Proven experience building and operationalizing machine learning models in production environments.</li><li>
Strong experience implementing enterprise MLOps frameworks and practices.</li><li>
Experience working with cloud-native AI services and modern AI platforms.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Certifications</b></h2><ul><li>
Microsoft Azure AI Engineer Associate</li><li>
AWS Machine Learning Specialty</li><li>
Google Professional Machine Learning Engineer</li><li>
OCI AI Foundations Associate</li><li>
Kubernetes Certifications (CKA/CKAD)</li><li>
Databricks Machine Learning Professional</li></ul><h2 class="jobSectionHeader"><b>
Soft Skills</b></h2><ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management abilities.</li><li>
Ability to work effectively in cross-functional and multicultural environments.</li><li>
Strong ownership, accountability, and leadership mindset.</li><li>
Passion for innovation and continuous learning.</li><li>
Ability to communicate fluently in both Arabic and English.</li></ul><h2 class="jobSectionHeader"><b>
Mandatory Requirements</b></h2><ul><li>
Native or Fluent Arabic Speaker.</li><li>
6&ndash;8 years of relevant AI/ML engineering experience.</li><li>
Hands-on expertise in Generative AI and MLOps.</li><li>
Strong Python programming skills.</li><li>
Experience deploying AI solutions in enterprise production environments.</li><li>
Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul><p>
</p><p>synAh1U1mw</p></div>

Senior AI Engineer (Arabic Speaker)

Devoteam

<div>
 <strong>
  Tech for People Unlocks the Future
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 </strong>
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
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 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
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  Devoteam Culture &amp; Values:
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 True innovation is born from a powerful culture, fused with meaningful values.
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  Culture:
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   Fair and courageous Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
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   Ambition and results Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
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   Learning and innovating Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
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   Caring and sharing A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers, knowing that success is the result of collaboration.
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  Because alone, we go faster &ndash; but together, we go further.
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  Values:
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   Respect
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   Frankness
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   Passion
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  To know more about us, please visit: www.devoteam.com
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  Level:
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 Consultant level
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  Business Unit:
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 Google Cloud
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  Join Devoteam and be part of a dynamic, innovative team driving technology solutions that make a real impact
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  Job Description
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 The Cloud Consultant is responsible for building, deploying, and managing cloud infrastructure and services. You work hands-on to implement secure, scalable, and automated cloud solutions that meet performance and availability goals. You support cloud operations, improve infrastructure through automation, and troubleshoot issues. This role demands strong technical execution, infrastructure knowledge, and cloud platform skills, serving as a core executor for hybrid and multi-cloud environments.
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  Roles and responsibilities:
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   Assist in the design and implementation of secure, scalable, and resilient cloud infrastructure solutions, building standard landing zones.
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   Support the development of automation scripts and deploy Infrastructure as Code (IaC) using Terraform.
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   Participate in infrastructure assessments using automated discovery tools and assist in planning and executing cloud migrations.
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   Manage routine cloud operations, including automated patching, backup and restore operations, and resolving basic to intermediate troubleshooting issues.
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   Handle incidents, problems, and changes through integrated ITSM workflows.
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   Help implement cloud governance, manage Identity Lifecycle tasks (RBAC/ABAC policies), and enforce compliance standards.
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   Contribute to cloud resource optimization by applying FinOps best practices and performance tuning.
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   Execute basic Disaster Recovery (DR) strategies, drills, and validation checkpoints.
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   Support customer workshops, solution demos, and technical documentation during pre-sales engagements.
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   Maintain accurate documentation of cloud environments, infrastructure changes, and standard operating procedures
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  Qualifications
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   Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.
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   2&ndash;5 years of experience in cloud infrastructure deployment and support.
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   Experience with at least one major public cloud platform, with a strong focus on Google Cloud Platform (GCP).
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   Exposure to Infrastructure as Code (Terraform).
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   Understanding of core cloud concepts such as virtualization, containers, networking, IAM, and security.
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   Familiarity with tools used for cloud assessment, migration, and monitoring.
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   Hands-on experience with basic cloud security controls and compliance practices.
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   Strong problem-solving skills and the ability to work independently or within a team.
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   Relevant Associate-level certification (e.g., Google Cloud Associate Cloud Engineer)
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  Preferred Qualifications:
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   Hands-on experience with specific Google Cloud Platform (GCP) services such as Compute Engine, VPC, IAM, Cloud Storage, Cloud SQL, and GKE.
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   Experience with VMware or hybrid cloud environments and integration with on-premises infrastructure (e.g., using VPNs, Interconnect).
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   Experience participating in cloud migration projects.
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   Interest in cloud-native architectures and application modernization
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   Exposure to CI/CD tools like GitLab CI/CD, Jenkins, or GitHub Actions for infrastructure automation.
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   Experience with monitoring and logging tools such as Google Cloud Operations Suite.
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   Basic scripting skills in Python, PowerShell, or Bash.
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   Strong communication skills and ability to interact with clients, both technical and non-technical.
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   Experience working in agile project environments and using tools like Jira or Confluence.
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Cloud Consultant (Google Cloud)

Microland

<div><div><div><div><div><p><b>Job Description</b></p>:</div><div><p><b>
Education Qualification :
</b><br>
Any Graduate<br>
<br>
<b>Skills :</b><br>
Primary -&gt; Technology | Hardware and Networking | Installation, configuration, maintainance and repair | 1 - Aware<br>
Primary -&gt; Technology | Windows Operating System | Installation, configuration and management | 1 - Aware<br>
Secondary -&gt; Technology | Audio, Video support | Installation and configuration | 1 - Aware<br>
Tertiary -&gt; Technology | End Point Security | Antivirus management, data encryption, DLP, desktop firewall, VPN, AD policies | 3 - Experienced<br>
Tertiary -&gt; Behavioral | Aptitude | Communication | 2 - Knowledgeable<br>
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<b>Certification :</b><br>
Technology | Microsoft 365 Certified | Modern Desktop Administrator Associate<br>
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1) Field Services Support Engineers? primary responsibility is to provide support to an organization?s IT systems to help them meet their business goals, this is done by ensuring that all computers and networks operate efficiently with high uptime.<br>
2) As a desktop engineer, you may need to assemble and install client desktop computers and assist the end-user in securing their hardware.<br>
3) This role also involves hands &amp; feet support for various IT support teams to perform activities related to periodic maintenance to handling individual systems hardware, software, and network queries<br>
4) To support daily technical support activities for computers &amp; all other end point devices. Update the support ticket with the progress, to set up and test desktop computer peripherals.<br>
5) To perform the system changes adhered to organizational policies.<br>
6) Conduct remote desktop troubleshooting to end user issues. Maintain technical documentation in association with other functional departments<br>
7) Technical Skills<br>
a. Windows Operating System:<br>
b. Ability to Install and troubleshoot different versions of Windows OS independently. E.g. Windows XP. Windows 7, Windows 10 and Windows 11<br>
c. Understanding of desktop applications and how do they work, installation &amp; uninstallation.<br>
d. Understanding of domain setup &amp; ability to add / remove computers to domain. update Group policies. carry out Disk management, Disk Encryption, Wireless configuration. check utilization and availability, ability to perform start up and shut down services by following SOP. deploy gold images on multiple desktops using SOP, Ability to install and configure client applications independently<br>
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8) In addition to above, support and perform below activities.<br>
a. Exchange and Mobility Clients<br>
b. Printer management<br>
c. Backup and Recovery<br>
d. Audio, Video support<br>
e. End Point Security/Patch Management<br>
f. Hardware and Networking</p></div></div></div></div><div><div><div><div><p><b>
Location</b></p>:</div><div><p>
Saudi Arabia - Riyadh</p></div></div></div></div><div><div><div><div><p><b>
Created On</b></p>:</div><div><p>
30-Jun-2026</p></div></div></div></div></div><div></div>

Engineer - Field Services

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