Position Objectives:

• Assess organizational readiness and maturity for blockchain and distributed ledger adoption.
• Identify high-impact blockchain use cases that enhance transparency, trust, and traceability.
• Evaluate existing systems and determine where blockchain provides measurable business value.
• Deliver comprehensive assessment reports, ROI analyses, and technology evaluation scorecards.
• Recommend suitable blockchain architectures, platforms, and implementation pathways.
• Ensure proposed solutions align with governance, interoperability, and compliance frameworks.
• Translate blockchain concepts into actionable insights for business, IT, and policy stakeholders.
• Support strategic decision-making for responsible, scalable adoption of DLT technologies.

Job Description & Responsibilities:

• Conduct blockchain readiness, maturity, and feasibility assessments across relevant domains.
• Map blockchain capabilities to organizational challenges and strategic objectives.
• Evaluate permissioned and public blockchain platforms, including Hyperledger, Ethereum, and Quorum.
• Analyse existing workflows to identify opportunities for improved trust, automation, and traceability.
• Develop ROI models, impact analyses, and technology scorecards to support executive decisions.
• Review smart contract requirements, digital identity frameworks, and tokenization opportunities.
• Assess interoperability, governance, and compliance considerations for blockchain adoption.
• Collaborate with technical, business, and legal teams to validate feasibility and risk factors.
• Monitor industry trends such as ZK proofs, decentralized identity, and digital assets regulation.
• Prepare clear, detailed documentation and presentations for stakeholders and leadership.
• Support integration opportunities between blockchain, AI, IoT, automation, and enterprise platforms.
• Provide expert advisory on standards, best practices, and emerging blockchain frameworks.
• Ensure that proposed solutions align with broader enterprise transformation and innovation goals.
• Contribute to organizational technology strategy through research and benchmarking.
• Facilitate workshops, awareness sessions, and stakeholder discussions on blockchain applicability.

Qualification & Experience:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 6+ years of experience in blockchain consulting, emerging technologies, or technology strategy roles.
• Proven experience conducting blockchain feasibility studies, ROI assessments, and maturity evaluations.
• Strong understanding of blockchain architectures, smart contracts, tokenization, and digital identity.
• Familiarity with governance, security, interoperability, and compliance frameworks for distributed systems.
• Experience working with both permissioned (e.g., Hyperledger, Quorum) and public blockchain platforms (e.g., Ethereum).
• Ability to translate technical concepts into business language for diverse stakeholders.
• Certification: Blockchain Council Certified Blockchain Expert (CBE) | IBM Blockchain Foundation Developer or Hyperledger Certified Professional
• Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.

Position objectives

Lead the design, development, and promotion of advanced optical transport network solutions to drive business growth and market leadership across EMEA and APAC regions. Serve as a strategic technical advisor and customer-facing consultant, combining deep technical expertise with business acumen to deliver competitive, innovative, and high-performance solutions.

Job Description and Responsibilities            

Solution Architecture & Design

• Develop end-to-end Optical Transport Network (OTN) and DWDM solutions aligned with customer requirements and market trends.
• Validate solution architecture and collaborate with product lifecycle management and global validation teams.
• Design complex optical networks encompassing DWDM, OTN, PTN, SDH, MPLS-TP, Metro Ethernet, Packet Optical, and DCI interconnect architectures.

Technical Sales & Business Development

• Partner with business development and sales teams to define technical strategies and deliver compelling, commercially viable proposals.
• Lead bid management processes for complex RFPs and RFIs, ensuring technical accuracy and differentiation.
• Engage directly with major telecom and enterprise clients to position optical transport solutions and secure multimillion-dollar deals.

Customer Engagement & Representation

• Act as the primary technical representative for customer engagements, workshops, roadshows, and marketing events.
• Build and maintain strong relationships with key clients, partners, and stakeholders across diverse markets.
• Represent the organisation in regional and global forums to enhance brand presence and solution awareness.

Leadership & Collaboration

• Lead cross-functional and multicultural teams in solution development, presales activities, and market expansion initiatives.
• Mentor and develop junior engineers and consultants, fostering a culture of technical excellence and innovation.
• Collaborate with regional and global product teams to align local requirements with corporate strategy.

Qualifications & Core Competencies

• Minimum 12 years’ experience in a relevant field.
• Bachelor's degree in Telecommunication or equivalent
• Organizational and control capabilities
• Good communication and reporting skills
• Strategic Solution Design & Validation 
• Optical Network Architecture (DWDM/OTN/MPLS-TP)
• Solution architect Development Leadership
• Complex Bid & Proposal Management 
• Customer Engagement & Technical Presentation
• Cross-Functional Team Leadership

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.

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.

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.

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!

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.

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.

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.