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senior frontend engineer

senior 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

Quality Standards for Information Technology - QSIT

<div>
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and optimize AI/ML solutions for real business use cases.
 </li>
 <li>
 Build and evaluate machine learning, deep learning, and generative AI models.
 </li>
 <li>
 Analyze and preprocess structured and unstructured data to support model development and solution quality.
 </li>
 <li>
 Validate model performance, reliability, scalability, and production readiness.
 </li>
 <li>
 Ensure AI solutions align with enterprise standards for maintainability, quality, and governance.
 </li>
 <li>
 Design and implement LLM-based and Generative AI solutions, including RAG pipelines, prompt engineering, retrieval optimization, and evaluation.
 </li>
 <li>
 Work with embeddings, vector search, reranking, and enterprise knowledge integration patterns.
 </li>
 <li>
 Support use cases such as document intelligence, AI assistants, chatbots, search augmentation, and decision-support solutions.
 </li>
 <li>
 Own AI solution delivery from requirement analysis through deployment, integration, and handover.
 </li>
 <li>
 Collaborate with software, data, and platform teams to integrate AI capabilities into enterprise platforms and APIs.
 </li>
 <li>
 Support monitoring, optimization, and post-go-live improvement of AI services.
 </li>
 <li>
 Apply MLOps / LLMOps practices for reproducibility, deployment automation, monitoring, and lifecycle management.
 </li>
 <li>
 Support technical proposal development, bid responses, and client-facing AI solution discussions when required.
 </li>
 <li>
 Contribute to technical presentations, solution write-ups, and AI capability positioning.
 </li>
 <li>
 Provide technical insight during opportunity shaping and feasibility assessments.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in Computer Science, AI, Data Science, Computer Engineering, or related field.
 </li>
 <li>
 From 4&ndash;6 years of hands-on experience delivering end-to-end AI/ML solutions in real business environments (not just PoCs/research).
 </li>
 <li>
 Strong Python skills; hands-on with PyTorch, TensorFlow, and Scikit-learn.
 </li>
 <li>
 Experience in data preprocessing, feature engineering, model evaluation, and optimization.
 </li>
 <li>
 Practical experience with Generative AI, LLMs, RAG, embeddings, and vector databases.
 </li>
 <li>
 Familiar with prompt engineering, LLM evaluation, guardrails, and inference optimization.
 </li>
 <li>
 Experience with MLOps/LLMOps (deployment, monitoring, versioning, lifecycle).
 </li>
 <li>
 Cloud experience: Azure AI / Azure OpenAI preferred; AWS/GCP a plus.
 </li>
 <li>
 Experience with APIs, microservices, enterprise integration, and Docker/containers.
 </li>
 <li>
 Experience in domains like NLP, document intelligence, CV, forecasting, recommendations, or conversational AI.
 </li>
 <li>
 Strong analytical, communication, and cross-functional collaboration skills; leadership/mentoring mindset.
 </li>
 <li>
 Proven delivery of deployed AI/ML solutions.
 </li>
 <li>
 Provide project examples with: domain/client, AI approach, role, and deployment environment.
 </li>
 <li>
 Show involvement in deployment, handover, and post-go-live support/optimization.
 </li>
 </ul>
 
 
</div>

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
 
 
 
 <ul>
 <li>
 Design, develop, and deploy end-to-end ML/AI solutions. Build and optimize LLM-based systems (Agents, Agentic workflows, RAG pipelines, embeddings, multimodal, etc.).
 </li>
 <li>
 Research, evaluate, and experiment with new AI techniques, models, tools, and frameworks, and assess their feasibility, performance, and business impact.
 </li>
 <li>
 Fine-tune, evaluate, and benchmark systems using quantitative and AI-Based evaluation methods.
 </li>
 <li>
 Stay up to date with advancements in the field. Drive adoption of relevant innovations into production systems.
 </li>
 <li>
 Design AI system architecture with focus on production aspects such as scalability, latency, cost efficiency, and reliability.
 </li>
 <li>
 Collaborate with product, backend, and cloud teams to integrate AI systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of hands-on experience in AI/ML development.
 </li>
 <li>
 Master&rsquo;s degree (MSc) in AI, Machine Learning, Computer Science, or a related field. (a significant advantage)
 </li>
 <li>
 Solid ML/AI fundamentals.
 </li>
 <li>
 Strong practical experience in AI related developments (Python, frameworks, tools, etc.).
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience deploying AI solutions to production environments.
 </li>
 <li>
 Experience with cloud AI platforms (e.g., GCP, Vertex AI).
 </li>
 <li>
 Familiarity with MLOps, monitoring, and CI/CD pipelines.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Artificial Intelligence
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-01-19
 
 
 
 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>

Senior AI Engineer, AI4ALL

Deloitte

<div>
 
 Deloitte Innovation Hub | AI &amp; Data | Senior AI / ML Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 We are seeking committed new talent to join our AI &amp; Data team. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science and Machine Learning techniques alongside Digital Transformation.
 
 
 As a Senior AI/ML Engineer in our team, you will:
 
 
 <ul>
 <li>
 Apply data science and machine learning techniques creatively to solve complex problems.
 </li>
 <li>
 Research and develop innovative solutions.
 </li>
 <li>
 Stay abreast in new machine learning techniques and data technologies.
 </li>
 <li>
 Participate in all phases of the data science lifecycle from PoC to fully tested productionized solutions.
 </li>
 <li>
 Prepare technical documentation.
 </li>
 <li>
 Ensure high-quality delivery of key parts of our engagements working with our senior data scientists.
 </li>
 <li>
 Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams.
 </li>
 <li>
 Assist in the crafting of responses to client proposal requests and in pitching data science projects to client.
 
 
 </li>
 </ul>
 
 Client Engagement
 
 
 
 Your Tasks would include
 
 :
 
 
 
 <ul>
 <li>
 Engage with clients to understand their pain points and requirements.
 </li>
 <li>
 Communicate solutions/propositions effectively back to client/team.
 
 
 </li>
 </ul>
 
 Data Analysis And Pre-processing
 
 
 
 <ul>
 <li>
 Collect and clean large datasets for machine learning projects.
 </li>
 <li>
 Explore data to identify patterns, anomalies, and potential insights.
 </li>
 <li>
 Pre-process data, including feature engineering and normalization.
 
 
 </li>
 </ul>
 
 Algorithm Development
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning algorithms.
 </li>
 <li>
 Experiment with various machine learning models and techniques.
 </li>
 <li>
 Optimize algorithms for accuracy, efficiency, and scalability.
 
 
 </li>
 </ul>
 
 Model Training And Evaluation
 
 
 
 <ul>
 <li>
 Train machine learning models using collected data.
 </li>
 <li>
 Perform testing to validate models.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and techniques.
 </li>
 <li>
 Fine-tune models to improve predictive accuracy.
 
 
 </li>
 </ul>
 
 Data Visualization
 
 
 
 <ul>
 <li>
 Create informative data visualizations to communicate insights effectively.
 </li>
 <li>
 Work with visualization libraries like Matplotlib, Seaborn, or data visualization software&rsquo;s like Tableau, PowerBI.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience.
 
 
 
 You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.
 
 
 
 Essentials
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Engineering or equivalent
 </li>
 <li>
 3-7 years of experience in Data Science and AI/ML
 </li>
 <li>
 Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
 </li>
 <li>
 Data proficiency: Proficient in data collection, pre-processing, and analysis.
 </li>
 <li>
 Model Mastery: Proven experience in developing and fine-tuning machine learning models.
 
 
 </li>
 </ul>
 
 Desirables
 
 
 
 <ul>
 <li>
 Familiarity with deploying ML frameworks in industry.
 </li>
 <li>
 A strong interest in staying abreast of the latest AI/ML advancements.
 </li>
 <li>
 Project Leadership: Previous experience leading AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub I Senior AI/ ML Engineer, Cairo, Egypt

almentor

<div>
 
 
 About almentor
 
 : almentor is a cutting-edge online video marketplace for e-learning and professional business development throughout the Middle East and Africa. Offering video courses in Arabic and English, we curate top-rated training programs of expert-created content and guided curriculum with interactive delivery.
 
 
 
 
 
 
 Our Mission:
 
 🚀 almentor is on a mission to increase accessibility to affordable quality education for Arabic-speaking communities and a Goal to serve 10 million learners in MENA
 
 
 
 
 
 
 Job Overview:
 
 
 
 Reporting to the Head of Engineering, your role is to design, build, and operate the data and applied AI foundations that power intelligent learning experiences and business workflows. You will ship production- grade pipelines, retrieval/search systems, and LLM-enabled features that are measurable, secure, and reliable.
 
 
 
 
 
 We are committed to building software that is not only functional and reliable, but also beautiful and intuitive. Our engineers and designers work together to create products that are a joy to use, and that solve real-world problems in innovative ways. We believe in the Agile and XP methodologies, and we prioritize collaboration, communication, and continuous improvement in everything we do.
 
 
 
 
 
 We are embarking on an exciting journey of rebuilding our product and engineering organization to drive innovation and growth. Our goal is to create a world-class platform that delivers the best possible learning experiences to our users.
 
 
 Share the journey along with engineers, product managers, and leaders from the most successful organizations in the region.
 
 
 
 
 
 
 As a Senior Data / AI Engineer, your'll spend your time on:
 
 
 <ul>
 <li>
 Blending data engineering, applied AI implementation, and operational ownership.
 </li>
 <li>
 Architect, implement, and maintain pipelines that ingest, transform, and serve data for product features, analytics, and AI workflows.
 </li>
 <li>
 Build indexing and retrieval layers (structured + unstructured) to power search, recommendations, and AI assistants (RAG).
 </li>
 <li>
 Implement LLM-powered features: prompt orchestration, tool/function calling, RAG patterns, structured extraction, summarization.
 </li>
 <li>
 Add guardrails: policy checks, rate limits, cost controls, and safe handling of sensitive data.
 </li>
 <li>
 Create evaluation harnesses and regression tests for retrieval of quality and AI outputs (offline datasets + automated checks).
 </li>
 <li>
 Instrument pipelines/services with logging, tracing, metrics, and data quality monitoring.
 </li>
 <li>
 Partner closely with product managers, designers, and engineers to translate user needs into measurable data/AI capabilities.
 </li>
 <li>
 Participate in sprint planning, refinement, and cross-team alignment to keep execution predictable.
 </li>
 <li>
 Own your pipelines and services in production &mdash; incident response, post-mortems, runbooks, and continuous improvement.
 </li>
 <li>
 Optimize latency, cost, and throughput across data processing, indexing, and AI inference usage.
 </li>
 <li>
 A typical day might look like: checking pipeline freshness and alerts in the morning, tuning chunking/index mappings for a new course search mid-day, pairing with product on evaluation metrics for an AI study
 </li>
 <li>
 Assistant in the afternoon, and ending the day by shipping a monitored RAG endpoint with cost budgets and regression tests.
 </li>
 </ul>
 
 
 Role Objectives
 
 
 <ul>
 <li>
 Design, oversee, build and operate data pipelines and applied AI systems that power our education platform across consumer and business customer segments.
 </li>
 <li>
 Build and scale retrieval and search foundations (hybrid search, metadata filtering, vector retrieval) that enable AI experiences.
 </li>
 <li>
 Deliver production LLM capabilities with measurable quality, cost controls, and safety guardrails.
 </li>
 <li>
 Improve system performance, reliability, observability, and maintainability through proactive monitoring and data quality checks.
 </li>
 <li>
 Collaborate closely with stakeholders (product managers, designers, frontend/mobile engineers) to translate business requirements into technical solutions.
 </li>
 <li>
 Contribute to sprint planning, technical documentation, and cross-team initiatives as a senior engineering voice.
 </li>
 <li>
 Contributing to sprint planning, technical documentation, and cross-team initiatives as a senior voice in the engineering org.
 </li>
 </ul>
 
 
 
 
 
 The ideal candidate will have:
 
 
 <ul>
 <li>
 4+ years of experience in data engineering, backend engineering, or platform engineering, with meaningful production ownership.
 </li>
 <li>
 Strong SQL and data modeling skills; experience designing schemas and data contracts.
 </li>
 <li>
 Experience building and operating pipelines (batch and/or streaming), including backfills and data quality validation.
 </li>
 <li>
 Experience with search/indexing systems and retrieval patterns (e.g., OpenSearch/Elasticsearch, vector DBs, hybrid search).
 </li>
 <li>
 Hands-on experience implementing LLM-powered features (RAG, tool/function calling, prompt/version management) &mdash; no deep ML required.
 </li>
 <li>
 Familiarity with CI/CD, containerization (Docker), and cloud services (ex. AWS, GCP).
 </li>
 <li>
 Strong problem-solving and debugging skills, with a proactive attitude towards owning and improving systems.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to explain complex ideas clearly to technical and non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field is preferred but not required
 </li>
 </ul>
</div>

Senior Data & Applied 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

Magnet

<div>
 
 
 Employer Overview
 
 
 
 A global technology company specializing in advanced control room solutions that support mission-critical operations. Its unified platform, powered by AI and IoT, connects digital and physical systems to provide real-time operational intelligence, enabling organizations to move from reactive to proactive decision-making.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a Junior Frontend Engineer to support the development of user interfaces and learn best practices for building scalable, high-performance frontend applications. This role is ideal for early-career engineers looking to grow their technical expertise.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Assist in developing responsive frontend applications.
 </li>
 <li>
 Convert UI designs into functional components under supervision.
 </li>
 <li>
 Support API integration and state management tasks.
 </li>
 <li>
 Ensure basic frontend performance and usability.
 </li>
 <li>
 Collaborate with senior engineers to follow coding standards.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or related field.
 </li>
 <li>
 0&ndash;2 years of Frontend development experience.
 </li>
 <li>
 Willingness to learn, teamwork, problem-solving.
 </li>
 <li>
 Basic knowledge of React / Vue / Angular
 </li>
 <li>
 TypeScript / JavaScript
 </li>
 <li>
 CSS3 / HTML5
 </li>
 <li>
 Familiarity with development tools and version control (Git).
 </li>
 <li>
 Ability to learn and implement frontend best practices.
 </li>
 <li>
 Ability to collaborate with senior engineers.
 </li>
 <li>
 Ability to assist in converting UI designs to functional components.
 </li>
 <li>
 Fluent in
 
 English
 
 (written and spoken).
 </li>
 </ul>
</div>

Frontend Developer

Explore 278+ Senior ai engineer in Cairo Egypt this April. Find roles across top companies and apply now to boost your career.

278 senior ai engineer jobs In Cairo Egypt

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer, AI4ALL

Deloitte Innovation Hub I Senior AI/ ML Engineer, Cairo, Egypt

Senior Data & Applied AI Engineer

AI Transformation Manager

Frontend Developer