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electrical maintenance engineer

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associate manager, project engineer Jobs in Giza

associate manager, project engineer

electrical engineer

ai engineer

BayanTech

<div><div>Job Description :
 
 
<ul><li>Design, develop, and deploy AI agents capable of performing autonomous tasks.</li></ul></div><ul><li>Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).</li><li>Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability</li><li>Implement communication between agents using agent orchestration frameworks.</li><li>Automate workflows for sales, project management, accounting, and localization.</li><li>Collaborate with backend and frontend teams to integrate AI services.</li><li>Conduct prompt engineering and evaluation of model outputs.</li><li>Ensure the scalability and performance of AI systems in production environments.</li></ul> 

Job Requirement : 
 
<ul><li>1+ years of experience in AI/ML engineering or applied NLP.</li><li>Strong experience with LLMs and frameworks like LangChain, AutoGen, or CrewAI.</li><li>Solid Python skills; familiarity with FastAPI or Flask is a plus.</li><li>Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB).</li><li>Experience deploying models using Docker or cloud environments.</li><li>Understanding of multi-agent systems and conversational workflows.</li><li>Familiarity with version control (Git) and CI/CD practices.</li></ul></div>

AI Engineer

Bayantech

<div>
 
 Job Description :
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI agents capable of performing autonomous tasks.
 </li>
 <li>
 Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).
 </li>
 <li>
 Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability
 </li>
 <li>
 Implement communication between agents using agent orchestration frameworks.
 </li>
 <li>
 Automate workflows for sales, project management, accounting, and localization.
 </li>
 <li>
 Collaborate with backend and frontend teams to integrate AI services.
 </li>
 <li>
 Conduct prompt engineering and evaluation of model outputs.
 </li>
 <li>
 Ensure the scalability and performance of AI systems in production environments.
 
 
 
 </li>
 </ul>
 
 Job Requirement :
 
 
 
 <ul>
 <li>
 1+ years of experience in AI/ML engineering or applied NLP.
 </li>
 <li>
 Strong experience with LLMs and frameworks like LangChain, AutoGen, or CrewAI.
 </li>
 <li>
 Solid Python skills; familiarity with FastAPI or Flask is a plus.
 </li>
 <li>
 Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
 </li>
 <li>
 Experience deploying models using Docker or cloud environments.
 </li>
 <li>
 Understanding of multi-agent systems and conversational workflows.
 </li>
 <li>
 Familiarity with version control (Git) and CI/CD practices.
 
 </li>
 </ul>
</div>

AI Engineer (Hybrid)

Palm Hills Developments

<div>
 
 
 Role Summary
 
 
 
 Palm Hills Developments is embarking on an ambitious programme to embed Generative AI and agentic‑AI capabilities into our company workflows.
 
 Reporting to the Director of Project Controls
 
 and working in close partnership with Group IT, you will spearhead the end‑to‑end strategy, design and roll‑out of AI solutions that drive measurable value for both operational teams and executive leadership.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Identify and priorities high‑impact AI use cases for various functions and departments.
 </li>
 <li>
 Craft a phased AI adoption road‑map aligned with corporate KPIs and governance.
 </li>
 <li>
 Translate business needs into technical designs covering data pipelines, model selection (LLMs, vector databases, fine‑tuning), prompt‑engineering and agent orchestration.
 </li>
 <li>
 Define architecture standards in partnership with IT (cloud vs. on‑prem, security).
 </li>
 <li>
 Lead proofs‑of‑concept and pilots; turn successful pilots into enterprise‑grade products.
 </li>
 <li>
 Coordinate cross‑functional squads (Project Controls, IT, Sales, Legal) and external vendors/consultants.
 </li>
 <li>
 Establish data‑privacy, model‑risk and ethical‑AI controls.
 </li>
 <li>
 Develop training programmes and user documentation; champion adoption across multiple business units.
 </li>
 <li>
 Define success metrics (accuracy, cycle‑time, cost savings, user satisfaction); continuously optimize models and workflows.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 Education:
 
 BSc degree (or higher) in Artificial Intelligence, Computer Science, Data Science or a related field.
 
 
 
 Experience:
 
 1+ years in data/AI roles and delivering Large‑Language‑Model or agentic‑AI projects from concept to deployment.
 
 
 
 Technical Toolkit:
 
 
 
 Proficiency with Python (LangChain, Semantic Kernel, etc.), SQL, and RESTful APIs.
 
 
 Proficiency with ML Python Libraries (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.)
 
 
 Familiarity with cloud ML stacks (Azure OpenAI, AWS Bedrock, GCP Vertex) and vector databases.
 
 
 Applied machine learning techniques on multiple projects
 
 
 
 Soft Skills
 
 : Stakeholder engagement up to C‑suite, vendor management, presentation &amp; training capability; fluent English and Arabic.
 
 
 
 Desirable Skills:
 
 
 
 &bull;Experience in integrating AI solutions with Power platform, MS Dynamics, Sales Force CRM.
 
 
 &bull;AI‑related credentials
 
 
 
 Location:
 
 
 Head Office, 6th of October City, Giza, Egypt
 
 
</div>

AI Solutions Engineer

GB Corp

<div>
 
 Works within the Robotics Process Automation (RPA) Center of Excellence team to create Artificial Intelligence solutions to deploy intelligent automation tools for the business. The role is to design &amp; develop AI algorithms &amp; models using AI engines to support automation &amp; digitalization roadmap, using several AI tools such as machine learning mechanisms, neuro-linguistic programming (NLP), computer vision, AI chatbots, intelligent robotics &amp; other available tools, which helps to improve various business outcomes shaping the AI strategy across the organization &amp; showcasing the potential for early-stage solutions serving intelligent automations.
 
 
 
 
 <ul>
 <li>
 Supervise and support AI team members.
 </li>
 <li>
 Follow up and manage multiple AI projects and meet deadlines.
 </li>
 <li>
 Keep up with the latest advancements in AI technologies, including generative AI and the latest features of popular tools.
 </li>
 <li>
 Collaborate with cross-functional teams (RPA, IT, Process Excellence) to understand requirements and develop AI solutions.
 </li>
 <li>
 Engage in discovery and identification of AI/ML opportunities; proactively seek and suggest improvements and outline any risks and recommend optimal solutions.
 </li>
 <li>
 Partner with the RPA team members to develop a deep end-to-end understanding of processes targeted for Intelligent automation and outline the impacted processes and business requirements.
 </li>
 <li>
 Lead the design and implementation of deep learning architectures for solving real-world vision problems
 </li>
 <li>
 Works with RPA &amp; Technical Team members to facilitate the planning and execution of RPA and other Automation projects using AI/ML to stretch automation scope to include collecting unstructured data and take AI based decision and analysis.
 </li>
 <li>
 Train, test, and evaluate AI models employing appropriate evaluation metrics.
 </li>
 <li>
 Collaborate with business stakeholders and internal teams, to design and deliver AI automated solutions for the client, facilitating increased business efficiency and optimizing the cost of operations.
 </li>
 <li>
 Identify scope, benefits, constraints, and risks for AI automation initiatives.
 </li>
 <li>
 Create Business Case and ROI which can be submitted for review and approvals
 </li>
 <li>
 Support the facilitation of discovery sessions across multiple teams and business units and lead the adoption / implementation activities associated with new AI solutions within the business.
 </li>
 <li>
 Gather non-functional requirements such as security, capacity performance and availability.
 </li>
 <li>
 Define configuration specifications and business analysis requirements.
 </li>
 <li>
 Optimize and fine-tune models for performance, scalability and efficiency.
 </li>
 <li>
 Define requirements, creating user stories (if Agile) or BRD.
 </li>
 <li>
 Create test scenarios to assure that the AI application developed are delivering the ROI and objectives needed and record its results for approvals and future references.
 </li>
 <li>
 Validate any change management requests and assess its estimated impact on the running AI application.
 </li>
 <li>
 Implement and deploy AI solutions in production environments under different frameworks.
 </li>
 <li>
 Ability to build applications and use appropriate prompting on generative AI models.
 </li>
 </ul>
 
 
 
 
 Educational Requirements: Bachelor&rsquo;s degree in Computer science or computer engineering.
 
 
 Required Industry Experience: 7+ years in AI/ ML.
 
 
 Technological Requirements:
 
 
 Proficiency in programming languages such as Python, and experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
 
 
 Expertise in computer vision libraries like OpenCV, Detectron, YOLO, and related tools.
 
 
 Solid understanding of deep learning techniques such as CNNs, GANs, and RNNs applied to image and video processing.
 
 
 Experience with cloud services (AWS, Azure, GCP) and deploying models at scale.
 
 
 Strong mathematical background in image processing, feature extraction, and 3D vision.
 
 
 Good knowledge in JavaScript is a plus.
 
 
 A very good knowledge in OOP is a must.
 
 
 A very good knowledge in APIs (RESTful) is a must.
 
 
 A very good knowledge in Database is a must
 
 
 Strong analytical, problem-solving, and critical thinking skills.
 
 
 Ability to manage multiple projects simultaneously and meet deadlines.
 
 
 
</div>

Artificial Intelligence Manager

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical skills and attention to detail. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI Use Cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance. This involves designing, developing, and deploying scalable data pipelines and architectures that meet business requirements.
 </li>
 <li>
 Enhance Databricks Platform: Continuously enhance and improve the Databricks platform to support evolving client needs and emerging trends in Data and AI. This includes staying up-to-date with new features, best practices, and industry developments related to Databricks and cloud-based data engineering.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Exposure to Databricks Platform: Experience with implementing data and AI use cases on the Databricks platform, including designing, developing, and deploying scalable data pipelines and architectures.
 </li>
 <li>
 Data Engineering Skills: Experience working with data engineering principles, practices, and tools, particularly in cloud-based environments.
 </li>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks.
 </li>
 <li>
 Implementation Expertise: Experience with implementing data and AI solutions, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Technical Skills: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks, is beneficial for this role.
 </li>
 <li>
 Data Engineering Principles: Familiarity with data engineering principles and practices, particularly in cloud-based environments, is advantageous for implementing data and AI use cases on the Databricks platform.
 </li>
 <li>
 Technical Proficiency: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing is desirable for this position.
 </li>
 </ul>
</div>

Data Engineer - Data Platforms Databricks

Data Engineer-Data Platforms-Databricks

Premier Services and Recruitment

<div>
 
 
 Role Overview:
 
 
 
 The IP Core Engineer will be responsible for designing, implementing, operating, and maintaining the IP core network to ensure high availability, performance, and scalability of network services.
 
 
 
 
 
 
 Experience Levels
 
 
 <ul>
 <li>
 
 Engineer:
 
 3 Years
 </li>
 <li>
 
 Senior Engineer:
 
 5&ndash;8 Years
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 - Design, configure, and support IP Core network infrastructure
 
 
 - Implement and troubleshoot routing protocols including OSPF, IS-IS, and BGP
 
 
 - Manage MPLS networks, including L2VPN and L3VPN services
 
 
 - Perform Traffic Engineering (MPLS-TE) to optimize network performance
 
 
 - Handle Inter-Gateway (IGW) routing and operations
 
 
 - Monitor and support BGP operations, including BGP Operational LS
 
 
 - Implement and maintain BFD for fast failure detection
 
 
 - Perform network troubleshooting, fault analysis, and performance optimization
 
 
 - Ensure network reliability, redundancy, and service availability
 
 
 
 
 
 
 Technical Requirements:
 
 
 
 - Strong hands-on experience with:
 
 
 - OSPF, BGP, IS-IS
 
 
 - MPLS, L2VPN, L3VPN
 
 
 - Traffic Engineering (TE)
 
 
 - IGW
 
 
 - BGP Operational LS
 
 
 - BFD
 
 
 - Solid understanding of IP networking and core network architecture
 
 
 - Experience working in a service provider or large enterprise environment is a plus
 
</div>

IP Core Engineer

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