research

Hyde Park Developments

<div><p><b>Job Purpose:</b></p><p>
The Market Research Senior Manager at Hyde Park Developments will lead the market research function, providing strategic insights to support decision-making and drive the company&rsquo;s growth in the real estate sector. This role involves managing and executing comprehensive market research projects, analyzing trends, and delivering actionable recommendations to senior management.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>
Lead and oversee all aspects of market research activities including designing research methodologies, managing data collection, and analyzing market trends.</li><li>
Develop research briefs and ensure alignment with Hyde Park Developments&rsquo; strategic goals.</li><li>
Manage relationships with external research agencies and internal stakeholders to ensure the delivery of high-quality and relevant market insights.</li><li>
Conduct competitive analysis, consumer segmentation, and industry benchmarking to identify opportunities and threats.</li><li>
Translate complex data and research findings into clear, concise reports and presentations for senior leadership.</li><li>
Monitor and report on market dynamics, customer needs, and emerging trends in the real estate industry.</li><li>
Drive innovation in market research approaches, including the use of new technologies and data analytics techniques.</li><li>
Ensure research projects are conducted within budget and timelines, maintaining high standards of quality and accuracy.</li><li>
Mentor and develop the market research team, fostering a culture of continuous learning and development.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Marketing, Business Administration, Economics, or a related field; a Master&rsquo;s degree is preferred.</li><li>
At least 8-10 years of experience in market research, with a significant portion in the real estate or property development industry.</li><li>
Proven experience in managing market research projects and leading a team.</li><li>
Strong analytical and strategic thinking skills, with the ability to interpret complex data and derive actionable insights.</li><li>
Excellent communication and presentation skills, able to influence senior stakeholders.</li><li>
Familiarity with both qualitative and quantitative research methodologies and tools.</li><li>
Experience working with external agencies and managing multiple research projects simultaneously.</li><li>
Proficiency in market research software, data analysis tools, and Microsoft Office suite.</li><li>
Strong leadership skills and the ability to mentor and develop staff.</li></ul></div>

Market Research Senior Manager

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 Chemistry Expert
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Contractor
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Remote
 <br/>
 <br/>
 <strong>
  Job Summary:
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze and interpret complex scientific documents, datasets, and research papers related to chemistry.
  </li>
  <li>
   Develop, review, and refine high-quality questions and answers that challenge and expand AI understanding.
  </li>
  <li>
   Apply analytical techniques to assess and extract key insights from provided materials.
  </li>
  <li>
   Collaborate with cross-functional teams to ensure scientific rigor and clarity in content.
  </li>
  <li>
   Interface with documentation and contribute to continuous process improvement.
  </li>
  <li>
   Provide feedback and domain expertise on model outputs and system performance.
  </li>
  <li>
   Ensure the accuracy, relevance, and integrity of all chemistry-related data and input.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree or higher in Chemistry or a closely related field.
  </li>
  <li>
   2+ years of professional experience in academia, laboratory, or industry settings.
  </li>
  <li>
   Proven ability to read, comprehend, and analyze technical documents and research studies.
  </li>
  <li>
   Excellent English proficiency, with strong written and verbal communication skills.
  </li>
  <li>
   Demonstrated experience in data retrieval, computation, and analytical reasoning.
  </li>
  <li>
   Ability to work independently with minimal supervision, delivering high-quality results.
  </li>
  <li>
   Strong attention to detail and scientific accuracy.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced degree (MS, PhD) in Chemistry or related discipline.
  </li>
  <li>
   Experience in creating educational or assessment materials.
  </li>
  <li>
   Familiarity with interdisciplinary collaborations (e.g., physics, biology).
  </li>
 </ul>
</div>


Chemistry Expert - Remote

Zewail City of Science and Technology

<div><div><h3 class="jobSectionHeader"><b>Zewail City of Science, Technology &amp; Innovation</b></h3>
</div><div><div><div>Type:</div>
<div>Full Time</div>
</div><div><div>Published:</div>
<div>2026-06-11</div>
</div><div><div>Deadline:</div>
<div>2026-06-24</div>
</div><div><div>Language:</div>
<div>English</div>
</div></div><div><h3 class="jobSectionHeader"><b>Qualifications:</b></h3>
<p>Applicants should have:</p>
<ul><li>A PhD in Computer Engineering, Electrical Engineering, or a closely related Engineering field from a highly reputable institution.</li>
<li>A strong academic background and established research profile in computer engineering and/or information engineering related areas.</li>
<li>Demonstrated ability to teach effectively in English at both undergraduate and graduate levels.</li>
<li>Proven experience with modern engineering education methodologies, including project-based learning and laboratory-centered instruction.</li>
<li>A strong record of high-quality research publications and graduate student supervision.</li>
<li>Demonstrated success in applying for and securing national and/or international research funding.</li>
<li>Familiarity with national and international accreditation standards (ABET or equivalent).</li>
<li>Experience in establishing and developing research laboratories, research groups, or research tracks.</li>
<li>Experience in curriculum design and development, particularly for computer engineering and systems-oriented programs.</li>
<li>Excellent communication, teamwork, and interpersonal skills.</li>
</ul><h3 class="jobSectionHeader"><b>Job Responsibilities</b></h3>
<p>Successful candidates are expected to:</p>
<ul><li>Teach undergraduate and graduate courses in Computer Engineering, including but not limited to:
<ul><li>Computer Architecture and Advanced Computer Systems</li>
<li>Digital Systems Design</li>
<li>Embedded Systems and Real-Time Systems</li>
<li>Operating Systems and Systems Programming</li>
<li>Software Engineering</li>
<li>Algorithms Design and Analysis</li>
<li>Cloud Computing and Distributed Systems</li>
<li>Big Data Analytics and Data-Intensive Computing</li>
<li>Hardware&ndash;Software Co-Design and System Integration</li>
</ul></li><li>Develop, sustain, and lead an active, externally funded research program in one or more areas aligned with the Computer Engineering track, such as:
<ul><li>Intelligent and data-driven systems</li>
<li>Cloud, distributed, and high-performance computing</li>
<li>Embedded and real-time computing systems</li>
<li>Data-centric and large-scale computing architectures</li>
</ul></li><li>Publish research outcomes in high-impact, peer-reviewed international journals and conferences.</li>
<li>Supervise undergraduate capstone projects as well as Master&rsquo;s and PhD students.</li>
<li>Contribute to curriculum development and continuous improvement of the Communications and Computer Engineering (CCE) program, particularly the Computer Engineering concentration.</li>
<li>Participate in interdisciplinary research initiatives and collaborative projects with industry, national laboratories, and international research institutions.</li>
<li>Support innovation, technology transfer, and entrepreneurship activities, including applied research and industry-driven projects.</li>
<li>Provide academic and institutional service at the program, school, and university levels.</li>
</ul><p>Applications and CVs must be submitted exclusively through the &ldquo;Job&rsquo;s link&rdquo; any submissions made through other channels will not be considered</p></div></div>

Full-Time Faculty – School of Engineering - Computer Engineering

mylo

<div>
 <strong>
  mylo
 </strong>
 is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you're purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt's leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.
 <br/>
 <br/>
 We are seeking a passionate and experienced
 <strong>
  Senior Data Engineer
 </strong>
 to join our team within the Fintech domain. This role is ideal for someone who thrives in a fast-paced environment and is excited to design, build, and scale secure, high-performing infrastructure to support a range of financial products.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Multi-Domain Technical Strategy: Lead the development of ML solutions across diverse contexts, ensuring that models for Credit Risk, Pricing Elasticity, and Collection Optimization utilize shared infrastructure efficiently
  </li>
  <li>
   MLOps Architecture: Champion the adoption of modern Model Serving frameworks and Feature Stores. Design workflows that ensure feature consistency between training and real-time inference
  </li>
  <li>
   Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready
  </li>
  <li>
   Production Deployment: Oversee the transition of models from notebook environments to low-latency production APIs. Ensure models are wrapped, containerized, and integrated seamlessly with backend services
  </li>
  <li>
   Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience: 4+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred
  </li>
  <li>
   ML Proficiency: Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks
  </li>
  <li>
   Production Engineering: Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential
  </li>
  <li>
   Technical Stack: Expert-level Python skills. Strong proficiency in SQL and relational database design
  </li>
  <li>
   Strategic Thinking: Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps
  </li>
 </ul>
</div>


Senior Data Scientist

MYLO

<div><p><b>mylo </b>is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you&rsquo;re purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt&rsquo;s leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.</p><p></p><p>
We are seeking a passionate and experienced <b>Senior Data Engineer</b> to join our team within the Fintech domain. This role is ideal for someone who thrives in a fast-paced environment and is excited to design, build, and scale secure, high-performing infrastructure to support a range of financial products.
</p><p></p><p>Responsibilities</p><ul><li>
Multi-Domain Technical Strategy: Lead the development of ML solutions across diverse contexts, ensuring that models for Credit Risk, Pricing Elasticity, and Collection Optimization utilize shared infrastructure efficiently.</li><li>
MLOps Architecture: Champion the adoption of modern Model Serving frameworks and Feature Stores. Design workflows that ensure feature consistency between training and real-time inference.</li><li>
Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready.</li><li>
Production Deployment: Oversee the transition of models from notebook environments to low-latency production APIs. Ensure models are wrapped, containerized, and integrated seamlessly with backend services.</li><li>
Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li><b>
Experience:</b> 4+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred.</li><li><b>
ML Proficiency</b>: Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks.</li><li><b>
Production Engineering</b>: Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential.</li><li><b>
Technical Stack:</b> Expert-level Python skills. Strong proficiency in SQL and relational database design.</li><li><b>
Strategic Thinking</b>: Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps.</li></ul></div>

Unifonic

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
 <br/>
 <br/>
 We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
 <br/>
 <br/>
 <strong>
  Meet the team!
  <br/>
  <br/>
 </strong>
 Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
 <br/>
 <br/>
 As a Senior Machine Learning (AI) Engineer, you will be responsible for designing, developing, and deploying advanced machine learning solutions across various domains, including NLP, Text Classification, RAG, LLMs, Recommender engines, and Anomaly detection. This role involves end-to-end project ownership, from data preprocessing to the creation of service APIs, and offers opportunities to work on cutting-edge AI technologies.
 <br/>
 <br/>
 <strong>
  Help Us Shape The Future Of Communication By
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leading the end-to-end design, development, and deployment of robust and scalable machine learning solutions, with a strong emphasis on NLP and RAG architectures.
  </li>
  <li>
   Architecting and implementing RAG systems, combining large language models (LLMs) with robust retrieval mechanisms to improve the accuracy, factual grounding, and interpretability of generated content.
  </li>
  <li>
   Applying advanced NLP techniques for tasks such as text classification, entity recognition, sentiment analysis, summarization, question answering, and information extraction.
  </li>
  <li>
   Researching, evaluating, and integrating state-of-the-art NLP models and RAG frameworks (e.g., Transformers, BERT, GPT variants, Vector Databases, Semantic Search).
  </li>
  <li>
   Mentoring junior team members on the team, sharing knowledge, and advising the best machine learning and software engineering practices and approaches.
  </li>
  <li>
   Establishing and maintaining robust communication channels with other cross-functional teams to facilitate the integration of machine learning solutions into other Unifonic products.
  </li>
  <li>
   Developing and optimizing highly confident machine learning algorithms and models and creating/exposing the service APIs using frameworks such as Flask, FastAPIs, or other relevant frameworks.
  </li>
  <li>
   Staying up to date with the latest machine learning research papers, and AI trends (i.e. Generative AI).
  </li>
  <li>
   Collaborating with the data engineering team and other teams to collect and analyze extensive datasets, extracting insights and patterns, in real-time, near-real-time, or batch processing mode.
  </li>
  <li>
   Implementing proof of concepts and prototypes to demonstrate the potential of new AI use cases and innovations.
  </li>
  <li>
   Building scalable, maintainable machine learning services, which should handle thousands of requests per second, and help to perform the required load tests to meet the SLA.
  </li>
  <li>
   Reviewing the code of other team members and suggesting improvements to ensure the SOLID principles and clean architecture.
  </li>
  <li>
   Assisting in the project documentation and demos.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  What you'll bring:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience designing and implementing RAG systems, including familiarity with various retrieval strategies (e.g., BM25, dense retrieval, hybrid approaches) and knowledge graph integration.
  </li>
  <li>
   Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar tools for building and managing autonomous agents.
  </li>
  <li>
   Deep expertise in various NLP techniques and models, including but not limited to:
   <br/>
   <br/>
  </li>
 </ul>
 Transformer architectures (e.g., BERT, GPT, T5, LLama, Mistral)
 <br/>
 <br/>
 Large Language Models (LLMs) and their fine-tuning/adaptation
 <br/>
 <br/>
 Vector embeddings and similarity search
 <br/>
 <br/>
 Text classification, named entity recognition (NER), sentiment analysis, summarization, and question answering.
 <br/>
 <br/>
 <ul>
  <li>
   Hands-on 3-5 years of relevant work experience as a Machine Learning Engineer.
  </li>
  <li>
   Hands-on 3+ years of experience with Python.
  </li>
  <li>
   Excellent analytical abilities, with the capacity to collect, organize, and analyze large datasets to glean valuable insights.
  </li>
  <li>
   End-to-end experience in training, evaluating, testing, and deploying machine learning products in production.
  </li>
  <li>
   Ability to write world-class code in Python (SOLID principles), considering the best software engineering fundamentals, i.e. data structures, algorithms, and data modeling
  </li>
  <li>
   Solid experience in ML frameworks such as NumPy, Pandas, Scikit-Learn, PyTorch, Keras, BERT, Tensorflow, and similar.
  </li>
  <li>
   Familiarity with MLOps best practices, e.g. Model deployment and reproducible research.
  </li>
  <li>
   Mastering data science needed skills like SQL, hypothesis testing, Data cleansing, data augmentation, data pre-processing techniques, and dimensionality reduction.
  </li>
  <li>
   Basic knowledge of Kubernetes and Docker is nice to have.
  </li>
  <li>
   Excellent understanding of Machine learning techniques like Naive Bayes classifiers, SVM, Decision Tree, KNN, K-means, Random Forest, modeling and optimization, evaluation metrics, classification, and clustering.
  </li>
  <li>
   Experience with the Hugging Face libraries (i.e. transformers).
  </li>
  <li>
   Experience fine-tuning pre-trained models and using vector search to enhance LLMs results.
  </li>
  <li>
   Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques.
  </li>
  <li>
   Familiar with code versioning tools such as GIT, CI/CD concepts, and toolchains.
  </li>
  <li>
   Familiar with Agile methodologies i.e. scrum and kanban.
  </li>
  <li>
   Ability to develop high-level architecture and low-level design, End-to-end for a specific project.
  </li>
  <li>
   Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is a plus.
  </li>
  <li>
   Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques is nice to have.
  </li>
  <li>
   Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is nice to have.
  </li>
  <li>
   General knowledge of Data warehouse tools e.g. Vertica is a plus.
  </li>
  <li>
   A Bachelor&rsquo;s degree in a relevant field. (e.g. Computer Science, Computer Engineering, Software, etc).
  </li>
  <li>
   Excellent communication and collaboration skills.
  </li>
  <li>
   Good level of spoken and written Arabic and English.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  As a Unifone you will receive a range of benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and bonus.
  </li>
  <li>
   Unifonic share scheme (we are all owners!).
  </li>
  <li>
   30 holiday days after the first anniversary.
  </li>
  <li>
   Your Birthday off!
  </li>
  <li>
   Spend up to 25 days per year working from anywhere in the world!
  </li>
  <li>
   Paid leave for new parents.
  </li>
 </ul>
</div>


Senior Machine Learning 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.
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities~
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design/Review detailed requirements.
  </li>
  <li>
   Apply Valeo/general MBD standards &amp; guidelines.
  </li>
  <li>
   Perform data typing for all model signals &amp; blocks with respect to fixed point techniques.
  </li>
  <li>
   Generate C-code using Embedded coder toolbox.
  </li>
  <li>
   Design MATLAB testing scenarios for model verification.
  </li>
  <li>
   Perform Model in the loop verification.
  </li>
  <li>
   Perform Software in the loop verification (back to back testing).
  </li>
  <li>
   Develop tools to increase the efficiency of the MBD life cycle and the quality.
  </li>
  <li>
   Follow defined project processes/guidelines/checklists and ensure process conformance.
  </li>
  <li>
   Report work progress continuously through attendance of daily &amp; weekly project internal meetings.
  </li>
  <li>
   Contribute effectively in the continuous improvement of his/her project, team, and work environment by submitting improvement proposals whenever possible.
  </li>
  <li>
   Raise flags proactively for any issue that can impact his/her project or team.
  </li>
  <li>
   Communicate professionally and autonomously with the customer and the team members.
  </li>
  <li>
   Perform all the activities using the agreed internal/external configuration management tool.
  </li>
  <li>
   Provide technical trainings to team and other entities
  </li>
  <li>
   Perform technical review of MBD architectural design and software specification.
  </li>
  <li>
   Perform technical reviews on the different project&rsquo;s activities
  </li>
  <li>
   Coach and train other team member on MBD engineering methodology
  </li>
  <li>
   Develop software function list and organizing them into delivery phases to ensure maximum value delivered to the customer with each phase
  </li>
  <li>
   Review software specification with implementation and test functions
  </li>
  <li>
   Establish, update and maintain software risks and issues list
  </li>
  <li>
   Provide traceability to customer requirements
  </li>
  <li>
   Provide software deliverables on time and respect budget
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Job Prerequisites~
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   2+ years of relevant experience
  </li>
  <li>
   Education ~ B.Sc. in Mechatronics, Electronics, Mechanical, or Electrical Engineering. M.Sc. or Ph.D. is a plus.
  </li>
  <li>
   Very Good MATLAB/Simulink/Stateflow Scripting and Modelling Skills with proven experience
  </li>
  <li>
   Good knowledge in Control Law and Thermodynamics
  </li>
  <li>
   Good knowledge about software engineering (requirement, design, development, verification and validation)
  </li>
  <li>
   Basic electronics knowledge
  </li>
  <li>
   Automatic Control, Motor Drives &amp; Electric Motors experience is a plus
  </li>
  <li>
   Automotive SPICE knowledge is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Position~
  <br/>
  <br/>
 </strong>
 R&amp;D Engineer
 <br/>
 <br/>
 <strong>
  D&eacute;partement~
  <br/>
  <br/>
 </strong>
 Software Development
 <br/>
 <br/>
 <strong>
  Schedule~
  <br/>
  <br/>
 </strong>
 Temps plein
 <br/>
 <br/>
 <strong>
  Employee Status~
  <br/>
  <br/>
 </strong>
 CDI
 <br/>
 <br/>
 <strong>
  Type de contrat~
  <br/>
  <br/>
 </strong>
 Annual Contract
 <br/>
 <br/>
 <strong>
  Job Posting Date~
  <br/>
  <br/>
 </strong>
 2025-11-19
 <br/>
 <br/>
 <em>
  Join Us !
  <br/>
  <br/>
  Being part of our team, you will join~
  <br/>
  <br/>
  <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
    <br/>
    <br/>
   </li>
  </ul>
  More information on Valeo~ https~//www.valeo.com
 </em>
</div>


Software engineer - Model Based Development, POWER

Explore 97+ Research in Egypt this July. Find roles across top companies and apply now to boost your career.

97 research jobs In Egypt

Market Research Senior Manager

Chemistry Expert - Remote

Full-Time Faculty – School of Engineering - Computer Engineering

Senior Data Scientist

Senior Data Scientist

Senior Machine Learning Engineer

Software engineer - Model Based Development, POWER