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Talent 360 ME

<div>
 
 Wind Integrated Solutions, Oracle Partner
 
 
 in Egypt, KSA &amp; UAE
 
 is looking for "AI &amp; Data Engineer " with a strong foundation in data manipulation, machine learning, and natural language processing (NLP).
 
 
 Wind Integrated Solutions is Software Development Company that provides technology services, business automation, and business digitalization.
 
 
 
 Job Requirements:
 
 
 
 <ul>
 <li>
 BSc in Computer Science, Engineering or relevant field.
 </li>
 <li>
 2-4 years of hands-on experience in data engineering, data architecture, or AI/ML presales.
 </li>
 <li>
 Understanding of modern data stack: data warehouses, data lakes, ETL/ELT pipelines, data governance
 </li>
 <li>
 Familier with data services (Azure Data Factory, Synapse, Microsoft Fabric, Purview or similar )
 </li>
 <li>
 Familiarity with AI/ML concepts and practical applications in enterprise settings
 </li>
 <li>
 Experience creating data architecture diagrams and technical documentation
 </li>
 <li>
 Excellent presentation and storytelling skills, capable of translating technical concepts for executive audiences
 </li>
 <li>
 English and Arabic fluency
 
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Lead technical discovery and data maturity assessments with enterprise customers across Saudi Arabia and Egypt
 </li>
 <li>
 Design and present data platform architectures using modern tools (Microsoft Fabric, Azure Data Services, OpenMetadata, SQLMesh)
 </li>
 <li>
 Create compelling business cases that connect data governance and AI capabilities to measurable business outcomes
 </li>
 <li>
 Develop technical proposals, solution architectures, and pricing models for data and AI engagements
 </li>
 <li>
 Deliver demonstrations of AI agent workflows, agentic automation, and conversational data access patterns
 </li>
 <li>
 Support Microsoft co-sell motions for Azure AI, Microsoft Fabric, and Copilot-related opportunities
 </li>
 <li>
 Collaborate with the Product Developer to align presales demonstrations with current product capabilities
 </li>
 <li>
 Contribute to thought leadership content: whitepapers, case studies, and technical blog posts
 </li>
 <li>
 Track competitive landscape across data governance and AI platforms (Informatica, Collibra, Databricks, Coalesce)
 
 
 
 </li>
 </ul>
 
 Company Industry
 
 : Information Technology Services
 
 
 
 Company website:
 
 https://www.wind-is.com
 
 
 
 Location:
 
 Maadi - Cairo
 
 
 
 Working Hours:
 
 9:00 AM to 5:00 PM.
 
 
 
 Working Days:
 
 From Sun to Thu.
 
 
 
 Benefits:
 
 Attractive salary - Social &amp; Medical insurance - Friendly Environment - Learning &amp; Development Opportunities - Other benefits
 
 
 Apply now to drive innovation and growth with our dynamic team!
</div>

Midlevel AI & Data Engineer

NOK Human Capital

<div>
 
 
 About NOK HC
 
 
 
 NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.
 
 
 
 
 
 
 Job Title
 
 
 
 
 AI &amp; Data Automation Engineer
 
 
 
 
 
 
 
 Job Summary
 
 
 
 We are looking for a skilled
 
 AI &amp; Data Automation Engineer
 
 to design and build intelligent automation and analytics solutions. In this role, you will develop AI-powered workflows, scalable data pipelines, and interactive analytics applications to enhance decision-making and eliminate manual processes. You will work closely with cross-functional teams to translate business needs into efficient, data-driven solutions and enable self-service analytics across the organization.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and build AI-powered workflows and automation solutions to enhance business processes
 </li>
 <li>
 Develop scalable data pipelines for data ingestion, transformation, validation, and publishing
 </li>
 <li>
 Build and deploy AI/ML and LLM-based use cases such as classification, anomaly detection, and insight generation
 </li>
 <li>
 Create interactive, web-based analytics applications to support business and operational decision-making
 </li>
 <li>
 Integrate backend systems, APIs, and data layers to enable self-serve analytics platforms
 </li>
 <li>
 Replace manual reporting and static dashboards with automated, application-based solutions
 </li>
 <li>
 Ensure data quality, consistency, and scalability across data models and analytics systems
 </li>
 <li>
 Collaborate with cross-functional teams to translate business needs into technical solutions
 </li>
 <li>
 Enable data-driven decision-making by delivering actionable insights and scalable data products
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, or a related field
 </li>
 <li>
 2&ndash;4 years of experience in software engineering, data engineering, automation, or AI/ML roles
 </li>
 <li>
 Strong proficiency in Python, with hands-on experience building production-grade pipelines and automation systems
 </li>
 <li>
 Solid SQL skills with experience handling large-scale datasets
 </li>
 <li>
 Experience or exposure to AI/ML concepts, including LLMs, prompt engineering, or AI-powered workflows
 </li>
 <li>
 Familiarity with cloud platforms, preferably AWS (e.g., Lambda, Step Functions, Glue, S3, Bedrock, SageMaker)
 </li>
 <li>
 Experience building data pipelines or scheduled/event-driven workflows (e.g., Airflow, cron)
 </li>
 <li>
 Exposure to frontend technologies (e.g., React) is a plus
 </li>
 <li>
 Familiarity with data warehouses and distributed systems (e.g., Redshift, Athena, Spark)
 </li>
 <li>
 Strong problem-solving skills with the ability to translate business needs into technical solutions
 </li>
 <li>
 Ability to work independently and deliver end-to-end solutions
 </li>
 <li>
 Excellent communication skills in English (written and spoken)
 </li>
 </ul>
 
 
 
 
 
 Work Conditions
 
 
 <ul>
 <li>
 Location: New Cairo
 </li>
 <li>
 Work Type: Onsite
 </li>
 </ul>
</div>

AI Data Engineer

TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
 </li>
 <li>
 Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
 </li>
 <li>
 Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
 </li>
 <li>
 Develop time-series models that analyze behavior and generate predictive.
 </li>
 <li>
 Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
 </li>
 <li>
 Integrate models into production by working with our developers to deploy solutions into our products and beyond.
 </li>
 <li>
 Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
 </li>
 <li>
 Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
 </li>
 <li>
 Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
 </li>
 <li>
 Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
 </li>
 <li>
 Conduct rigorous A/B testing and model evaluation.
 </li>
 <li>
 Support the integration of models into production systems using APIs and microservices.
 </li>
 <li>
 Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
 </li>
 <li>
 Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
 </li>
 <li>
 Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
 </li>
 <li>
 Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
 </li>
 <li>
 Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
 </li>
 <li>
 Containerization and orchestration: Docker, Docker Compose.
 </li>
 <li>
 Solid understanding of data modelling, feature engineering, and data warehousing concepts.
 </li>
 <li>
 Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
 </li>
 <li>
 Proficiency in version control, CI/CD, and model deployment practices.
 </li>
 <li>
 Experience integrating AI models into web or mobile applications is highly valued.
 </li>
 <li>
 Experience with MLOps tools like MLflow, Airflow, DVC.
 </li>
 <li>
 Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
 </li>
 <li>
 Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
 </li>
 <li>
 Communicative and collaborative &mdash; comfortable working across teams and disciplines.
 </li>
 <li>
 Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
 </li>
 <li>
 Knowledge of data governance, bias mitigation, and explainable AI techniques.
 </li>
 </ul>
</div>

AI& Data Engineer (Hybrid)

Finaira

<div>
 
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineers, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship.
 
 
 
 
 
 The difference you will make
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineers.
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions.
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving.
 </li>
 </ul>
 
 
 
 
 What you will bring to the role
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.
 
 
 
 
 
 Technical Skills:
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures. o Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies.
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
</div>

Principal AI Engineer

700apps

<div>
 We are looking for a
 
 Senior AI Engineer
 
 to join our growing technology team and lead the development of advanced AI solutions. In this role, you will design, build, and deploy scalable AI models that power intelligent products and services.
 
 
 You will work closely with cross-functional teams to transform complex business challenges into innovative AI-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end AI/ML system architecture from data ingestion to deployment and monitoring.
 </li>
 <li>
 Define scalable and reliable ML pipelines.
 </li>
 <li>
 Select the appropriate tools, frameworks, and infrastructure.
 </li>
 <li>
 Ensure performance, security, scalability, and maintainability of AI systems.
 </li>
 <li>
 Design APIs and AI services for integration with products and platforms
 </li>
 <li>
 Collaborate with engineering, product, and data teams to deliver AI-powered features.
 </li>
 <li>
 Develop, train, and fine-tune machine learning and deep learning models.
 </li>
 <li>
 Work on advanced AI solutions such as LLMs, NLP systems, or computer vision models.
 </li>
 <li>
 Optimize models for accuracy, speed, and cost efficiency.
 </li>
 <li>
 Conduct experiments and evaluate model performance using best practices.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in AI / Machine Learning development.
 </li>
 <li>
 Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Experience with LLMs, NLP, or Generative AI is highly preferred.
 </li>
 <li>
 Experience with MLOps, model deployment, and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Strong understanding of data structures, algorithms, and software engineering best practices.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Familiarity with MLOps tools such as MLflow, Airflow, or similar.
 </li>
 </ul>
</div>

Senior AI Engineer

<div>
 
 
 Job Summary
 
 
 
 
 
 
 The AI Transformation Manager is responsible for leading the organization&rsquo;s transition into an AI-first enterprise. This role involves identifying high-value AI use cases, managing the implementation of agentic workflows and LLM-based systems, and driving the cultural change necessary for employees to work alongside AI. You will not only manage technology but also lead the "Workforce Transformation," ensuring that AI investments result in measurable ROI and enhanced human potential.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Planning &amp; Roadmap Development
 
 
 <ul>
 <li>
 Develop and maintain the Enterprise AI Roadmap, prioritizing use cases based on feasibility, cost, and business impact.
 </li>
 <li>
 Define KPIs for AI success (e.g., time-to-market reduction, cost-per-task optimization, or revenue uplift).
 </li>
 <li>
 Partner with senior leadership to align AI initiatives with the company&rsquo;s 3&ndash;5 year growth goals.
 </li>
 </ul>
 
 
 2. AI Implementation &amp; Orchestration
 
 
 <ul>
 <li>
 Lead the deployment of
 
 Agentic AI
 
 (autonomous agents) and
 
 RAG-based
 
 (Retrieval-Augmented Generation) knowledge systems across departments like HR, Finance, and Customer Operations.
 </li>
 <li>
 Oversee the "Build vs. Buy" evaluation for AI tools, ensuring interoperability with existing tech stacks (e.g., Azure AI, Microsoft 365 Copilot, or proprietary LLMs).
 </li>
 <li>
 Manage cross-functional "Pods" consisting of data scientists, engineers, and domain experts to deliver pilot projects within 60&ndash;90 day cycles.
 </li>
 </ul>
 
 
 3. AI Governance &amp; Ethics
 
 
 <ul>
 <li>
 Establish frameworks for
 
 Responsible AI
 
 , ensuring transparency, bias mitigation, and data privacy (GDPR/CCPA/AI Act compliance).
 </li>
 <li>
 Monitor AI performance for "model drift" and accuracy, ensuring the system remains reliable and defensible.
 </li>
 </ul>
 
 
 4. Change Management &amp; Enablement
 
 
 <ul>
 <li>
 Design and lead "AI Literacy" programs to upskill the workforce, moving beyond basic prompting to advanced AI-human collaboration.
 </li>
 <li>
 Manage organizational resistance by communicating a clear value narrative and identifying "AI Champions" within business units.
 </li>
 <li>
 Redesign workflows to capitalize on AI-human "Centaur" models, where AI handles routine processing and humans focus on high-stakes strategy and empathy.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 Technical Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Business, Computer Science, or Data Science. An MBA or post-graduate degree in Digital Transformation is highly preferred.
 </li>
 <li>
 
 Experience:
 
 6+ years of experience in Digital Transformation, Product Management, or Management Consulting, with at least 2&ndash;3 years focused specifically on AI/ML projects.
 </li>
 <li>
 
 AI Fluency:
 
 Deep understanding of Generative AI capabilities, LLM lifecycles, and
 
 Agentic Workflows
 
 . You don't need to be a coder, but you must be able to "speak engineer."
 </li>
 <li>
 
 Data Literacy:
 
 Proficiency in data strategy&mdash;understanding data pipelines, quality, and how "grounding" affects AI accuracy.
 </li>
 </ul>
 
 
 
 
 
 Tools &amp; Certifications (Preferred)
 
 
 
 
 
 <ul>
 <li>
 
 Certifications:
 
 Microsoft Certified: AI Transformation Leader, PMP, or similar.
 </li>
 <li>
 
 Tooling Knowledge:
 
 Familiarity with AI orchestration platforms (LangChain, Zapier Central), MLOps basics, and BI tools (Tableau, PowerBI).
 </li>
 </ul>
 
 
</div>

AI Transformation Manager

eSense

<div>
 Position Overview
 
 
 Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze requirements and contribute to technical AI solution design.
 </li>
 <li>
 Strong programming skills in Python (mandatory).
 </li>
 <li>
 Experience in backend development (APIs, microservices, model serving).
 </li>
 <li>
 Hands-on experience with local LLM deployment and optimization.
 </li>
 <li>
 Experience in RAG system design and vector databases.
 </li>
 <li>
 Practical experience in model fine-tuning (LoRA / PEFT).
 </li>
 <li>
 Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 </li>
 <li>
 Experience working in Linux environments.
 </li>
 <li>
 Participate in peer code reviews and team planning activities.
 </li>
 <li>
 Provide task estimations and deliver within approved timelines.
 </li>
 <li>
 Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 </li>
 <li>
 2-5 years of experience in AI Engineering.
 </li>
 <li>
 Proficiency in C#, .NET Core and Python.
 </li>
 <li>
 Experience with Structured and Unstructured databases.
 </li>
 <li>
 Experience with Angular or other frontend technologies is a strong plus.
 </li>
 <li>
 Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 </li>
 <li>
 Familiarity with Git, RESTful services, and Agile development methodologies
 </li>
 </ul>
</div>

AI Engineer

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