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ai / emerging tech security analyst

intelligence engineer

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 Job Description
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.
 
 
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 Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.
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 Ensure data is structured to support self-service analytics and business intelligence.
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 Work closely with data engineers to define data requirements and enhance ETL pipelines.
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 Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
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 Implement and enforce data quality best practices to ensure accuracy and consistency.
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 Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.
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 Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.
 
 
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 </ul>
 
 Qualifications
 
 
 
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 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
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 Strong proficiency in Python, SQL and experience with dbt for data modeling.
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 Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).
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 Familiarity with version control (Git) and CI/CD practices for data workflows.
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 Understanding of data engineering principles, including ETL/ELT processes.
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 </ul>
</div>

Analytics Engineer II

YO IT Consulting

<div>
 
 Job Description
 
 
 
 
 Job Title:
 
 AI Engineer
 
 
 
 Job Type:
 
 Contract
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary:
 
 In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required &mdash; your domain knowledge is what matters.
 
 
 
 Key Responsibilities
 
 
 
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 Design, build, and optimize robust machine learning models for production environments.
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 Implement and automate end-to-end ML pipelines using CI/CD best practices.
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 Leverage AWS services for scalable AI infrastructure and model deployment.
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 Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
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 Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
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 Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
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 Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
 
 
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 </ul>
 
 Required Skills And Qualifications
 
 
 
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 Proven expertise in machine learning algorithms, model development, and deployment.
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 Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
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 In-depth experience with CI/CD workflows and automation tools.
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 Hands-on expertise with AWS cloud services for ML applications and data pipelines.
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 Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
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 Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
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 Demonstrated ability to scope, structure, and solve complex, real-world data challenges.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
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 Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
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 Experience working in high-growth or startup environments.
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 Strong publication record or contributions to open-source AI projects.
 </li>
 </ul>
</div>

AI Engineer - Remote

BCG X

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 We Are BCG X
 
 
 
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 
 
 What You'll Do
 
 
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 
 
 As an AI Software Engineer you&rsquo;ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You&rsquo;ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
 
 
 What You'll Bring
 
 
 We Are Looking For Talented Individuals With a Passion For Software Development, Large-scale Data Analytics And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
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 Apply software development practices and standards to develop robust and maintainable software
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 Actively involved in every part of the software development life cycle
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 Experienced at guiding non-technical teams and consultants in and best practices for robust software development
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 Optimize and enhance computational efficiency of algorithms and software design
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 Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
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 Enjoy collaborating in teams to share software design and solution ideas
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 A natural problem-solver and intellectually curious across a breadth of industries and topics
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 4+ years of relevant experience.
 
 
 </li>
 </ul>
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 Additional info
 
 
 #BCGXjob
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Forward Deployed AI Engineer, Egypt - BCG X

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
 
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 Provide technical leadership, guidance, and mentorship to a team of AI Engineers
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 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
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 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
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 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
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 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
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 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
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 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
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 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
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 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
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 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>
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 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
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 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.
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 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
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 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures. o Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.
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 Excellent understanding of data engineering principles, data governance, and database technologies.
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 Ability to evaluate and make sound technical decisions on complex trade-offs.
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 </ul>
 
 
 
 
 Soft Skills:
 
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 Strong ownership and accountability for assigned work.
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 Clear and professional verbal and written communication.
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 Effective time management and task prioritization.
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 Analytical thinking and problem-solving skills.
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 Ability to work independently, collaborate effectively and mentor junior team members.
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 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
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 Adaptability and learning agility in a fast-paced environment.
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 Strong attention to detail and a commitment to quality.
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 Receptiveness to feedback and continuous improvement mindset.
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 </ul>
 
 
 
 
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
 
</div>

Principal AI Engineer

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Responsibilities
 
 ~
 
 
 
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 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
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 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
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 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 ~
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
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 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
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 edge devices.
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 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
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 rendering engines.
 </li>
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 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
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 benchmarks.
 </li>
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 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-03-18
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

AI Engineer, LIGHT

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 </li>
 </ul>
</div>

Brainlake

<div>
 We're looking for a hands-on
 
 AI Automation Engineer
 
 to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.
 
 
 You'll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.
 
 
 This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.
 
 
 ❏ Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools
 
 
 ❏ Build AI agents that automate customer service, operations, sales, reporting, and internal business processes
 
 
 ❏ Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications
 
 
 ❏ Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data
 
 
 ❏ Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks
 
 
 ❏ Develop AI-powered assistants, chatbots, and internal copilots for business users
 
 
 ❏ Build automated reporting, monitoring, and business intelligence workflows
 
 
 ❏ Conduct workflow discovery sessions and identify automation opportunities across departments
 
 
 ❏ Create technical documentation, architecture diagrams, and deployment guidelines
 
 
 ❏ Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability
 
 
 ❏ Collaborate with designers, strategists, and developers to deliver AI-powered business solutions
 
 
 
 Requirements
 
 
 
 ❏ Have 3+ years of experience building workflow automation, integrations, or digital business systems
 
 
 ❏ Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms
 
 
 ❏ Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies
 
 
 ❏ Understand prompt engineering, AI orchestration, and agent-based systems
 
 
 ❏ Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations
 
 
 ❏ Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools
 
 
 ❏ Have experience working with structured and unstructured data
 
 
 ❏ Have basic programming knowledge in JavaScript, Python, or TypeScript
 
 
 ❏ Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks
 
 
 ❏ Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems
 
 
 ❏ Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies
 
 
 ❏ Have built customer service, sales, HR, finance, or operations AI agents
 
 
 ❏ Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications
 
 
 ❏ Think in systems and enjoy simplifying complex business processes
 
 
 ❏ Communicate clearly and take ownership of delivery
 
 
 ❏ Have strong troubleshooting and problem-solving skills
 
 
 ❏ Are comfortable working directly with clients and stakeholders
 
 
 ❏ Can deliver production-ready AI and automation solutions that create measurable operational efficiencies
 
 
 ❏ Have a track record of reducing manual processes through intelligent automation
 
 
 ❏ Can design scalable automation frameworks that can be reused across multiple projects and clients
 
 
 ❏ Continuously identify opportunities to introduce AI and automation into business operations
</div>

AI Automation Engineer

Explore 102+ Intelligence engineer in Cairo this July. Find roles across top companies and apply now to boost your career.

102 intelligence engineer jobs In Cairo

Analytics Engineer II

AI Engineer - Remote

Forward Deployed AI Engineer, Egypt - BCG X

Principal AI Engineer

AI Engineer, LIGHT

AI Engineer, LIGHT

AI Automation Engineer