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.

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 Objectives:

• To manage and coordinate all permitting activities required for network construction projects, ensuring timely approvals from local authorities and full compliance with regulatory and environmental requirements.

Job Description & Responsibilities:

• Manage the end-to-end permitting process for civil and network infrastructure projects.
• Liaise with government agencies, municipalities, and utility companies to secure necessary approvals.
• Prepare and submit permit applications, drawings, and supporting documents.
• Track and follow up on permit status to ensure timely issuance.
• Maintain a permit database and documentation records for all projects.
• Coordinate with design and construction teams to align project schedules with permit timelines.
• Ensure compliance with local laws, environmental regulations, and safety standards.
• Identify and mitigate potential permitting risks and delays.
• Build and maintain strong working relationships with regulatory authorities and stakeholders.
• Provide regular permit status reports to project management and leadership

Qualifications & Experience:

• Bachelor’s degree in civil engineering.
• Minimum 10 years of telecommunication experience in OSP design and engineering positions.
• Must know OSP work, related processes and industry best practices
• Must have working knowledge of market-leading OSP design tools (Hexagon, Intergraph, or similar).
• Excellent knowledge of the English language
• Must have international experience from developed markets.

Position Objective:

• Deliver practical Generative AI solutions by converting ideas into production-ready systems.
• Balance rapid prototyping with solid engineering practices and scalability.
• Design, implement, and optimize LLM and RAG-based pipelines.
• Build and expose APIs for seamless integration with applications.
• Deploy and manage services on Kubernetes/OpenShift with GPU orchestration.
• Ensure observability, monitoring, and cost-efficient performance of AI services.
• Collaborate with cross-functional teams to deliver impactful, end-to-end AI solutions.

Job Description & Responsibilities:

• Design, implement, and optimize Generative AI solutions using LLMs and RAG pipelines.
• Convert prototypes into robust, production-ready services with scalability in mind.
• Build, document, and expose APIs for seamless integration across applications.
• Package, deploy, and manage AI services on Kubernetes/OpenShift with GPU support.
• Develop evaluation harnesses to benchmark quality, latency, and cost across models.
• Integrate observability, logging, and monitoring into deployed AI systems.
• Collaborate with MLOps, Data Engineering, and Application teams for end-to-end delivery.
• Apply best practices in system design, performance optimization, and cost efficiency.
• Debug and resolve issues in AI models, pipelines, and deployments.
• Stay updated with emerging GenAI tools, frameworks, and industry practices.
• Ensure timely delivery of prototypes, iterations, and final solutions.
• Translate business requirements into usable and impactful AI applications.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field.
• Minimum 3+ years of professional experience in AI/ML and Generative AI application development.
• Proven track record of designing, implementing, and productionizing LLM and RAG-based solutions.
• Strong experience with MLOps practices, including CI/CD pipelines for AI models and services.
• Expertise in containerization and orchestration (Kubernetes, OpenShift, Docker) with GPU management.
• Hands-on coding experience in Python with frameworks such as FastAPI, LangChain, PyTorch, TensorFlow, Hugging Face.
• Practical knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).
• Familiarity with cloud AI services (AWS Sagemaker, Azure OpenAI, Google Vertex AI) for scalable deployments.
• Strong background in API development, system integration, and microservices architecture.
• Experience in observability tools (Prometheus, Grafana, ELK stack) and AI service monitoring.
• Ability to benchmark models for quality, latency, throughput, and cost efficiency.
• Exposure to enterprise-level AI deployments in regulated or large-scale environments is a plus.

Position Objectives:

• Assess the organization’s AI readiness and conduct comprehensive maturity evaluations.
• Identify and prioritize applied AI/ML opportunities across key business domains.
• Translate organizational challenges into actionable and data-driven AI strategies.
• Support feasibility studies, ROI analysis, and pilot-level evaluations for AI use cases.
• Provide insights that guide the development of an enterprise-wide AI adoption roadmap.
• Strengthen AI governance, ethics, and responsible AI foundations within the organization.
• Collaborate with cross-functional teams to align AI initiatives with strategic objectives.
• Facilitate knowledge transfer and ensure clear communication of AI concepts to stakeholders.

Job Description & Responsibilities:

• Conduct AI readiness and maturity assessments covering data, infrastructure, governance, and talent.
• Identify, analyze, and prioritize applied AI/ML opportunities across organizational functions.
• Translate business challenges into feasible AI use cases with measurable value and clear outcomes.
• Perform preliminary research, feasibility studies, and ROI assessments for proposed AI initiatives.
• Support the design of AI opportunity scoring models and prioritization frameworks.
• Prepare detailed reports, presentations, and recommendations for leadership and stakeholder review.
• Work with cross-functional teams to validate use cases and guide early-stage prototyping or pilot evaluations.
• Advise on AI governance, responsible AI principles, and compliance considerations.
• Provide conceptual guidance on data preparation, feature analysis, and model evaluation steps.
• Monitor emerging AI trends—including GenAI, Agentic AI, and multimodal AI—to inform strategic decisions.
• Contribute to the development of the organizational AI roadmap and transformation plans.
• Engage stakeholders to ensure alignment, clarity, and buy-in on AI initiatives.
• Support knowledge transfer, capacity building, and AI awareness programs within the organization.

Qualification & Experience:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum 6+ years of experience in AI/ML analysis, strategy, consulting, or advisory roles.
• Proven experience in identifying, evaluating, and prioritizing AI/ML use cases across business domains.
• Exposure to digital transformation programs with a focus on AI, data, or analytics components.
• Familiarity with Responsible AI principles, ethical AI frameworks, and data governance practices.
• Conceptual understanding of data preparation, feature engineering, and model evaluation methodologies.
• Ability to conduct feasibility studies and assess ROI for applied AI initiatives.
• Strong analytical, documentation, and presentation skills for communicating insights to stakeholders.
• Certifications in AI/ML, Data Science, Cloud AI, or Responsible AI (AWS, Azure, Google, Coursera, etc.).
• Participation in workshops or training programs related to AI strategy, governance, or ethics.
• Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.

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.