Perform assigned responsibilities, collaborate with team members, and adhere to company policies. Strong communication, problem-solving, and work ethic required. Adaptability, initiative, and willingness to learn are valued.

Perform assigned responsibilities, collaborate with team members, and adhere to company policies. Strong communication, problem-solving, and work ethic required. Adaptability, initiative, and willingness to learn are valued.

Position Objective:

To lead AI operations and cloud automation initiatives for private cloud infrastructure, developing and managing an AIOps framework, defining use cases, tools, and platforms, and building an AI adoption roadmap to drive business value realization.

Job Description and Responsibilities:

• Leads the development and implementation of an AIOps framework for private cloud infrastructure, integrating AI-powered observability and automation.
• Defines AIOps use cases and calculates business value realization to align with strategic goals.
• Develops and maintains a comprehensive AI adoption roadmap for cloud-native Telco/IT infrastructure.
• Manages deployment and integration of AIOps tools (e.g., monitoring systems, service assurance platforms) with existing infrastructure.
• Collaborates with cross-functional teams to build closed-loop automation and self-healing capabilities for L1/L2 tasks.
• Designs, tests, and programs automation equipment and processes to enhance operational efficiency.
• Ensures AI governance, model explainability, and effective use of AI in network operations.
• Supervises automation processes to maintain performance and quality standards.
• Identifies and resolves quality issues and defects in AIOps and automation solutions, writing detailed reports.
• Monitors advancements in AIOps and cloud technologies (e.g., AWS, Azure, Google Cloud) to maintain a state-of-the-art implementation.

Qualifications and Experience:

• Minimum 10 years of experience in cloud-native operations or telecom network automation, including 3 years in AI Ops or cloud automation roles.
• Bachelor’s or master’s degree in computer science, Data Science, or a related field from a reputed university.
• Techno-functional role requiring expertise in AIOps, machine learning engineering, and applied AI for IT/network operations (e.g., observability, automation, service assurance).
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for Telco workloads.
• Strong AI Ops and cloud automation skills, including AI/ML pipeline development, automation scripting (e.g., Python, Ansible), observability design, and incident management automation.
• Ability to lead technical and functional aspects of AI Ops initiatives, balancing AI/ML expertise with process automation and cross-functional collaboration.
• Excellent communication (written, oral, listening), leadership, negotiation, presentation, coaching, and mentoring skills.
• Industry-recognized certifications in AIOps, cloud, or AI technologies (e.g., AWS Certified Machine Learning, Google Cloud Professional Machine Learning Engineer, ITIL) are desirable.
• Strong command of both English and Arabic languages (both written and spoken).

Position Objective:

Provide comprehensive architectural design and technical support across tender and construction stages using Revit, ensuring accuracy, quality, and compliance with project requirements, prepare Bills of Quantities (BOQs), technical specifications, and visualizations (Revit + Lumion), utilize strong BIM knowledge, including proficiency with Navisworks, to support coordination and clash detection.

Job Description & Responsibilities:

• Develop, refine, and finalize architectural designs using Revit, CAD, and BIM tools, ensuring accuracy and alignment with project requirements.
• Prepare detailed BOQs, technical specifications, and coordinate effectively with suppliers.
• Produce high-quality visualizations and renderings, with mandatory proficiency in Lumion.
• Collaborate with multidisciplinary teams, manage workload under pressure, and meet strict deadlines.
• Ensure technical consistency, compliance with client standards, and precision across all deliverables.
• Lead and support technical coordination activities, including clash detection analysis and reporting using BIM platforms.
• Apply advanced BIM expertise, including coordination workflows, to improve project efficiency and technical output.
• Demonstrate strong capability in technical documentation, BOQ preparation, and architectural detailing.
• Maintain high standards of teamwork, organization, attention to detail, and time management across all technical office responsibilities.

Qualifications & Experience:

• Bachelor’s Degree in Architecture (SCE approval is mandatory).
• 5–7 years of total professional experience.
• Consultant-side experience only (contractor-side experience is not accepted).
• Minimum of 2–4 years of professional experience within the Kingdom of Saudi Arabia.
• Proven background in architectural design, technical office work, and BIM-enabled project delivery.

Perform assigned responsibilities, collaborate with team members, and adhere to company policies. Strong communication, problem-solving, and work ethic required. Adaptability, initiative, and willingness to learn are valued.

Perform assigned responsibilities, collaborate with team members, and adhere to company policies. Strong communication, problem-solving, and work ethic required. Adaptability, initiative, and willingness to learn are valued.

 Position Overview

We are seeking a highly motivated and detail-oriented Data Scientist to join our team. The Data Scientist will be responsible for leveraging data to generate insights, build predictive and prescriptive models, and support strategic decision-making. The ideal candidate is passionate about data, skilled in statistical and machine learning techniques, and comfortable working with large datasets across various domains.

This role requires a mix of analytical expertise, business acumen, and technical proficiency. You will work closely with data engineers, analysts, and business stakeholders to deliver data-driven solutions that create measurable business impact.

Key Responsibilities

• 
  
• Collect, clean, and preprocess structured and unstructured data from multiple sources.
• 
  
• Apply statistical methods, data mining, and machine learning techniques to solve business problems.
• 
  
• Build, validate, and deploy predictive and prescriptive models into production environments.
• 
  
• Conduct exploratory data analysis (EDA) to identify patterns, correlations, and actionable insights.
• 
  
• Develop and maintain data pipelines, dashboards, and visualizations to support decision-making.
• 
  
• Communicate findings effectively to technical and non-technical audiences through clear storytelling.
• 
  
• Collaborate with cross-functional teams to identify use cases where data science can add value.
• 
  
• Continuously monitor model performance and refine algorithms for scalability and accuracy.
• 
  
• Stay up to date with the latest trends in machine learning, AI, and data engineering.

Education

• 
  
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related field (mandatory).
• 
  
• Master’s degree or PhD in Data Science, AI, Machine Learning, or related discipline (preferred).

Experience

• 
  
• Mandatory:
  • 
    
  • Minimum of 2–4 years of professional experience working in a data science, machine learning, or advanced analytics role.
  • 
    
  • Demonstrated experience in developing and deploying ML/statistical models.
• 
  
• Preferred:
  • 
    
  • Experience working with large datasets and big data frameworks (e.g., Spark, Hadoop).
  • 
    
  • Exposure to industry-specific projects (e.g., finance, healthcare, telecom, retail, or e-commerce).

We are seeking a highly motivated and detail-oriented Data Scientist to join our team. The Data Scientist will be responsible for leveraging data to generate insights, build predictive and prescriptive models, and support strategic decision-making. The ideal candidate is passionate about data, skilled in statistical and machine learning techniques, and comfortable working with large datasets across various domains.[Insert a brief description of your company, its mission, and its culture. This is an opportunity to attract candidates who align with your values.]

**Position Overview:**

We are seeking a highly motivated and detail-oriented Data Scientist to join our team. The Data Scientist will be responsible for leveraging data to generate insights, build predictive and prescriptive models, and support strategic decision-making. The ideal candidate is passionate about data, skilled in statistical and machine learning techniques, and comfortable working with large datasets across various domains.

**Key Responsibilities:**

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies.
• Develop and implement predictive and prescriptive models to support decision-making processes.
• Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
• Communicate findings and recommendations to stakeholders through clear visualizations and reports.
• Stay up-to-date with the latest advancements in data science, machine learning, and statistical techniques.
• Design and conduct experiments to validate models and improve their accuracy.
• Ensure data quality and integrity throughout the data analysis process.

**Qualifications:**

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Solid understanding of statistical methods and machine learning algorithms.
• Ability to work with large datasets and perform data wrangling and preprocessing.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to present complex information clearly to non-technical stakeholders.

**Preferred Qualifications:**

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Knowledge of data engineering practices and tools.

**What We Offer:**

• Competitive salary and benefits package.
• Opportunities for professional development and growth.
• A collaborative and innovative work environment.
• [Insert any additional perks or benefits your company offers, such as remote work options, flexible hours, etc.]

**How to Apply:**

Interested candidates should submit their resume and a cover letter detailing their relevant experience to [Insert Application Email/Link]. Please include "Data Scientist Application" in the subject line.

**Application Deadline:** [Insert Deadline]

We look forward to welcoming a new member to our team who is eager to make an impact through data!

Position Summary:

• Integration Datacom Engineer will be responsible for the configuration, integration, and troubleshooting of Cisco, Juniper, and Huawei platforms within large-scale enterprise and service provider environments.
• Key responsibilities include managing PE and AGG devices, performing VLAN and interface configurations, establishing P2P links, and implementing static and BGP routing.
• Technical expertise, analytical skills, and the ability to work effectively in a shift-based operational setup.

Job Description & Responsibilities:

• Perform configuration, integration, troubleshooting, deletion, and cutover activities for PE and AGG devices across Cisco, Juniper, and Huawei platforms.
• Execute daily configuration tasks including: 1) Interface / SubInterface setup 2) VLAN implementation 3) Point-to-Point (P2P) link configuration 4) Static route setup 5) BGP routing configuration and optimization
• Ensure smooth execution of cutover activities with minimal downtime.
• Provide technical support during planned and unplanned network changes.
• Collaborate with cross-functional teams to address incidents, resolve issues, and implement best practices.
• Maintain accurate documentation of configurations, changes, and procedures.
• Adhere to operational standards, security policies, and quality requirements.
• Work in a shift-based schedule, including weekends or night shifts as required.

Qualifications & Experience: 

• Bachelor’s Degree in Network Engineering, Telecommunications, Computer Science, or a related field.
• CCNP – Cisco Certified Network Professional (Service Provider or Enterprise) / JNCIS – Juniper Networks Certified Specialist (Enterprise Routing) | Certifications (mandatory – at least one):
• 4+ years of relevant experience in Datacom/Network Integration.
• Good understanding of routing and switching principles.
• Hands-on expertise with Cisco, Juniper, and Huawei platforms.
• Practical experience with PE and AGG device configurations, VLANs, interfaces, P2P links, static routes, and BGP routing.
• Ability to work effectively in a shift-based operational environment (including nights and weekends).
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent teamwork and communication abilities.

ities, collaborate with team members, and adhere to company policies. Strong communication, problem-solving, and work ethic required. Adaptability, initiative, and willingness to learn are valued.

Position Objectives:

• Lead the design and implementation of enterprise AI architecture for on-premises and hybrid platforms.
• Oversee end-to-end AI solutions, including data ingestion, ETL, model development, deployment, and monitoring.
• Drive the adoption of next-generation AI technologies, including GenAI, LLMs, and agent-based frameworks.
• Establish best practices, governance, and scalable reference architectures for enterprise AI.
• Ensure security, observability, and performance in AI/ML deployments across hybrid and cloud environments.
• Collaborate with cross-functional teams (Data Engineering, MLOps, Security, Business) to align with business goals.
• Provide technical leadership, mentorship, and innovation in advancing enterprise AI capabilities.

Job Description & Responsibilities:

• Design and architect enterprise AI solutions across on-premises, hybrid, and cloud environments.
• Lead end-to-end AI workflows covering data ingestion, ETL pipelines, feature engineering, and model development.
• Develop scalable data architectures and optimise enterprise datasets for AI/ML workloads.
• Drive adoption of Generative AI, LLMs, and multi-agent systems within enterprise applications.
• Define and implement reference architectures, frameworks, and best practices for AI/ML.
• Ensure security, compliance, and governance across all AI/ML solutions.
• Architect MLOps frameworks for automated model training, deployment, monitoring, and lifecycle management.
• Oversee GPU orchestration, Kubernetes, and OpenShift AI clusters for scalable AI performance.
• Implement observability frameworks for monitoring AI models, pipelines, and infrastructure.
• Collaborate with data engineering teams to build robust data pipelines using tools like Spark, Kafka, and Airflow.
• Partner with security and compliance teams to ensure safe handling of data and AI assets.
• Engage with business stakeholders to translate use cases into AI-enabled solutions.
• Provide technical guidance and mentorship to AI/ML engineers and cross-functional teams.
• Champion innovation by evaluating and integrating emerging AI/ML and GenAI technologies.
• Manage AI delivery timelines to ensure enterprise-grade solutions are deployed on schedule.
• Standardise practices for model governance, version control, and reproducibility.
• Ensure high availability, scalability, and resilience of AI workloads in production.
• Act as a subject matter expert in enterprise AI, advising executives and project stakeholders.
• Build collaborative frameworks for AI adoption across multiple business domains.
• Continuously update AI strategies to align with fast-changing industry trends and organisational goals.

Qualifications & Experience:

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field.
• 10+ years of experience in enterprise architecture, with at least 5+ years focused on AI/ML/DL.
• Proven expertise in ETL processes, data modelling, and building large-scale data pipelines (e.g., Spark, Kafka, Airflow).
• Strong hands-on experience in architecting secure, scalable, and production-ready AI/ML solutions.
• In-depth knowledge of Kubernetes, OpenShift AI, GPU orchestration, and hybrid/on-prem AI deployments.
• Practical experience in MLOps, model monitoring, observability, governance, and compliance frameworks.
• Demonstrated success in deploying LLMs, Generative AI, and multi-agent frameworks in enterprise settings.
• Strong understanding of enterprise data integration and AI-driven business transformation.
• Leadership experience in guiding AI/ML, Data Engineering, and Security teams across large organisations.
• Excellent problem-solving, innovation, and stakeholder management skills in fast-changing AI landscapes.
• Languages: English – Mandatory; Arabic – Preferred.
• Relevant Certifications (Preferred):
• Kubernetes / OpenShift Architect Certification.
• Cloud Architect Certifications (AWS, Azure, GCP).
• Data Engineering / Big Data Certifications.

Here’s a detailed and professional job description for a Dashboard Designer role — suitable for posting on platforms like LinkedIn, Indeed, or an internal company career page.

Job Title: Dashboard Designer

Location:

Remote / Hybrid / On-site (Specify as appropriate)

Employment Type:

Full-time / Contract / Freelance

About the Role:

We are seeking a highly skilled and detail-oriented Dashboard Designer to join our data and analytics team. The ideal candidate will have a strong blend of data visualization, UX/UI design, and analytical thinking, enabling them to transform complex datasets into clear, engaging, and actionable dashboards.

This role requires collaboration with stakeholders, analysts, and developers to design intuitive interfaces that help drive data-driven decision-making across the organization.

Key Responsibilities:

• 
  
• Design and develop interactive dashboards that visualize key metrics and insights in tools such as Power BI, Tableau, Looker, or similar BI platforms.
• 
  
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into effective dashboard designs.
• 
  
• Create user-centric, visually appealing, and intuitive interfaces that communicate information clearly and efficiently.
• 
  
• Define and maintain dashboard design standards, including color palettes, typography, layout, and data visualization best practices.
• 
  
• Ensure data accuracy, consistency, and performance optimization across dashboards.
• 
  
• Perform usability testing and stakeholder feedback sessions to continuously improve dashboard functionality and aesthetics.
• 
  
• Develop mockups and prototypes to communicate design concepts before development.
• 
  
• Stay up to date on data visualization trends, UX design principles, and emerging BI tools.
• 
  
• Support data storytelling initiatives through strong visual and narrative techniques.

Required Qualifications:

• 
  
• Bachelor’s degree in Design, Data Science, Information Systems, Computer Science, or a related field (or equivalent experience).
• 
  
• Proven experience in dashboard or data visualization design, ideally within a business intelligence or analytics environment.
• 
  
• Proficiency with one or more BI tools such as Tableau, Power BI, Looker, Qlik, or Domo.
• 
  
• Strong understanding of UI/UX principles, visual hierarchy, and user-centered design.
• 
  
• Experience working with data models, SQL, and APIs (basic understanding of data structures).
• 
  
• Excellent communication and collaboration skills — able to present ideas clearly to both technical and non-technical audiences.
• 
  
• Attention to detail and commitment to data accuracy and design quality.

Preferred Qualifications:

• 
  
• Experience in data storytelling and infographic design.
• 
  
• Familiarity with Figma, Adobe XD, or similar design tools for mockups and prototypes.
• 
  
• Background in data analysis or business intelligence.
• 
  
• Understanding of data governance and accessibility standards.
• 
  
• Portfolio showcasing previous dashboard design projects.

What We Offer:

• 
  
• Competitive salary and performance-based incentives.
• 
  
• Opportunities for professional development and certification (e.g., Power BI, Tableau).
• 
  
• Flexible work arrangements (remote/hybrid).
• 
  
• Collaborative and data-driven work environment.
• 
  
• Access to cutting-edge BI tools and technologies.

Example Job Titles / Variations:

• 
  
• Data Visualization Designer
• 
  
• BI Dashboard Developer
• 
  
• Analytics UI/UX Designer
• 
  
• Business Intelligence Designer
• 
  
• Data Storyteller

Would you like me to tailor this job description for a specific industry (e.g., finance, healthcare, SaaS, marketing analytics, etc.) or for a specific BI tool like Power BI or Tableau? That would make it even more aligned with your needs.

Position Objectives:

In a dynamic and fast-paced environment, this role is responsible for leading the end-to-end recruitment cycle, from proactive sourcing and candidate evaluation to presenting top-tier professionals for a variety of roles. The ideal candidate will enhance the company’s employer brand by building meaningful connections with candidates across multiple channels, with a focus on attracting highly skilled consultants and senior-level professionals.

Job Description & Responsibilities:

• Design and implement targeted recruitment strategies to attract experienced consultants and technical professionals across the Telecom and IT sectors.
• Utilise diverse channels such as LinkedIn, job boards, professional networks, and employee referrals to proactively identify and engage high-quality candidates. Employ innovative sourcing techniques to tap into passive talent.
• Conduct in-depth resume reviews, initial screenings, and video interviews to assess candidate qualifications, experience, and cultural fit, particularly for mid-to-senior-level roles.
• Partner with senior stakeholders to define hiring needs, craft compelling job descriptions, and provide advisory support throughout the recruitment process.
• Build and maintain a robust pipeline of pre-qualified candidates to ensure future hiring needs can be met efficiently and effectively.
• Utilise the Applicant Tracking System (ATS) to maintain accurate records, streamline recruitment workflows, and produce data-driven reports and insights.
• Support employer branding initiatives through engaging recruitment campaigns and digital presence to attract top talent from local and international markets.
• Stay informed on industry trends, labour market dynamics, and competitor hiring practices to continuously improve recruitment effectiveness.

Qualifications & Experience:

• Bachelor's degree, preferably in Engineering.
• Minimum of 8 years of experience in technical recruitment, preferably within the Telecom or IT industry, either in-house or at a reputable recruitment agency.
• Proven track record in hiring senior-level consultants and technical professionals, especially from mature and competitive markets.
• Strong interpersonal and communication skills, with the ability to build trust and rapport with candidates and hiring managers.
• Demonstrate expertise in using professional social media platforms and digital sourcing tools.
• Creative thinker with a proactive and solution-oriented approach to talent acquisition.
• Excellent organisational and time management skills, capable of managing multiple open roles simultaneously.
• Sound knowledge of labour regulations and recruitment best practices.
• Proficiency in MS Office (Word, Excel, PowerPoint); working knowledge of Power BI is a plus.