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Interact Technology Solutions

<div>
 
 &reg; Job Summary:
 
 
 
 
 
 
 The AI Engineer will be responsible for building practical and scalable GenAI applications&mdash;including chatbots, RAG systems, and AI agents&mdash;supported by reliable data pipelines and rigorous evaluation frameworks. The role focuses on delivering high-quality, production-ready AI solutions that meet enterprise needs.
 
 
 
 
 
 
 &reg; Accountability &amp; Responsibilities
 
 
 
 
 
 
 &middot; Develop end-to-end GenAI applications, including chatbots, RAG systems, and autonomous agents.
 
 
 
 &middot; Build and maintain data pipelines, embeddings, and vector search infrastructure.
 
 
 
 &middot; Conduct prompt engineering, testing, and evaluation to improve model performance.
 
 
 
 &middot; Implement and integrate REST/GraphQL APIs for backend and frontend interfaces.
 
 
 
 &middot; Create rapid prototypes and proof-of-concept (POC) applications for internal and client use.
 
 
 
 &middot; Ensure clean, maintainable code and deliver comprehensive documentation.
 
 
 
 &middot; Collaborate with data teams, product teams, and senior AI architects to refine solutions.
 
 
 
 &middot; Monitor system performance, troubleshoot issues, and apply continuous improvements.
 
 
 
 &middot; Follow governance, security, and compliance requirements for AI deployments.
 
 
 
 
 
 Requirements
 
 
 
 
 1
 
 &ndash; Required Experience
 
 
 &middot; Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 
 <ul>
 <li>
 3&ndash;6 years of experience in AI software engineering, ML engineering, or data engineering.
 
 </li>
 <li>
 Delivered at least two AI applications into production.
 
 </li>
 </ul>
 
 
 2
 
 &ndash; Technical Skills:
 
 
 <ul>
 <li>
 Strong proficiency in
 
 Python, LangChain, LlamaIndex, and vector databases (Qdrant, Milvus).
 
 
 </li>
 <li>
 
 
 Hands-on experience with
 
 embeddings, similarity search, and RAG pipelines.
 
 
 </li>
 <li>
 
 
 Strong foundations in prompt engineering and model evaluation.
 
 </li>
 <li>
 
 
 Ability to design and integrate
 
 REST/GraphQL APIs.
 
 
 </li>
 <li>
 
 
 Basic front-end development experience for
 
 POCs (React, HTML/CSS, or similar).
 
 
 </li>
 <li>
 Familiar with
 
 Git/GitHub, Docker, Jupyter/VS Code, and Postman.
 
 
 </li>
 </ul>
 
 
 3
 
 &ndash; Certifications:
 
 
 <ul>
 <li>
 
 NVIDIA AI Developer
 
 (Preferred)
 
 </li>
 <li>
 
 Cloud AI Architect &ndash; Azure / AWS / GCP
 
 (Plus)
 
 
 
 
 
 
 </li>
 </ul>
</div>

AI Engineer

<div>
 
 
 Company Overview:
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at
 
 www.dar.com
 
 .
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Job Purpose:
 
 
 
 
 
 
 The role of the AI Engineer at Dar will be to design, develop, and deploy artificial intelligence models and systems that automate workflows of design engineers through data-driven insights, and enhance design and project delivery efficiency. They leverage machine learning and data analytics to improve decision-making and productivity across projects life.
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop, evaluate, and deploy RAG pipelines for the AEC industry
 </li>
 <li>
 Develop, evaluate and deploy agentic AI solutions to automate AEC workflows
 </li>
 <li>
 Develop, train, and optimize machine learning and deep learning models for AEC applications.
 </li>
 <li>
 Collect, preprocess, and analyze large BIM data from design, construction, and operational sources.
 </li>
 <li>
 Monitor and refine deployed AI systems for performance, accuracy, and scalability.
 </li>
 <li>
 Research and evaluate emerging AI technologies relevant to architecture, engineering, and construction.
 </li>
 <li>
 Collaborate effectively with data scientists, AI and Automation engineers, computational designers, and design engineers to integrate advanced digital solutions into the broader system architecture and the enterprise internal workflows
 </li>
 <li>
 Stay current with AI trends and suggest improvements to existing systems and workflows
 </li>
 <li>
 Support project planning, documentation, and presentations.
 </li>
 <li>
 Contribute to mentoring and knowledge sharing within the team.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Engineering, or related field
 </li>
 <li>
 0-3 years professional experience with at least 3 of the following sectors: RAG, machine learning, deep learning, LLMs, NLP, reinforcement learning, and computer vision
 </li>
 <li>
 Proficiency in Python, C#/C/C++, SQL
 </li>
 <li>
 Experience building RAG pipelines, agentic RAG pipeline and/or agentic workflows
 </li>
 <li>
 Strong knowledge of AI frameworks such as TensorFlow or PyTorch, and ML libraries as scikit-learn and SciPy
 </li>
 <li>
 Experience working in relational and non-relational databases
 </li>
 <li>
 Experience building predictive analytics business solutions
 </li>
 <li>
 Excellent problem-solving skills and ability to work in a team environment
 </li>
 <li>
 Familiarity with AEC tools (Revit, Rhino, AutoCAD, Navisworks) is a plus.t
 </li>
 </ul>
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
 
 
</div>

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 As part of our Data Science and Machine Learning team, you will design, build, and optimize systems for data collection, storage, access, and analytics at scale. This includes Machine Learning, Deep Learning, and Artificial Intelligence Model Design and Construction, responsible for developing, programming and training the complex networks of algorithms that make up Machine Learning, Deep Learning, and Artificial Intelligence to develop applications and systems. You will work on client engagements related to research and development across a wide range of domains including understanding and improving Machine Learning, Deep Learning, and Artificial Intelligence, addressing bias and fairness in algorithms, embodied and interactive solutions on GCP, Azure and AWS.
 
 
 
 To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
 
 
 As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
 
 
 
 
 Your responsibilities will include but may not be limited to:
 
 
 
 <ul>
 <li>
 
 Building and maintaining in-depth understanding of machine learning concepts across all areas, in particular; supervised, unsupervised, reinforcement learning and large language models.
 
 
 </li>
 <li>
 
 Writing Python / R code to create, tune and validate models.
 
 
 </li>
 <li>
 
 Optimising code and infrastructure for machine learning performance.
 
 
 </li>
 <li>
 
 Consulting with clients on business issues, often explaining complex technical concepts to non-technical people.
 
 
 </li>
 <li>
 
 Creation of novel visualisations and explanations to demonstrate our work.
 
 
 </li>
 <li>
 
 Researching new products, tools and techniques to assist with advancing our machine learning and data science capability.
 
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 <ul>
 <li>
 
 Data transformation and modelling (e.g. pandas and scikit-learn in Python);
 
 
 </li>
 <li>
 
 Data storage and querying (e.g. SQL);
 
 
 </li>
 <li>
 
 Understanding of common data quality issues and they effect they have on machine learning models;
 
 
 </li>
 <li>
 
 Data cleansing and manipulation for machine learning (e.g. feature engineering);
 
 
 </li>
 <li>
 
 Dimensionality reduction techniques (e.g. principal component analysis);
 
 
 </li>
 <li>
 
 Hyperparameter optimization approaches for a range of models;
 
 
 </li>
 <li>
 
 Use of Large language models for natural language processing;
 
 
 </li>
 <li>
 
 Experience with financial / general ledger data;
 
 
 </li>
 <li>
 
 Knowledge of the current data science software platforms;
 
 
 </li>
 <li>
 
 Knowledge of Generative AI and concepts such as retrieval augmented generation.
 
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 <ul>
 <li>
 
 The ability to come up with creative solutions to complex problems;
 
 
 </li>
 <li>
 
 Exceptional analytical and technical aptitude;
 
 
 </li>
 <li>
 
 Exceptional attention to detail;
 
 
 </li>
 <li>
 
 The ability to manage time, prioritise tasks and work under tight deadlines;
 
 
 </li>
 <li>
 
 The ability to work independently with little supervision, but integrate well into teams;
 
 
 </li>
 <li>
 
 Concise and clear communication when presenting and explaining results and findings.
 
 
 </li>
 <li>
 
 Naturally inquisitive
 
 
 </li>
 <li>
 
 Analytical mindset
 
 
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation, Empathy {+ 17 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 Yes
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, Data science - Senior Associate

The Flex

<div>
 Rebuild the backbone of modern renting.
 
 
 At The Flex, we believe renting a home should be instant, intelligent, and seamless &mdash; as easy as tapping a button.
 
 
 Our ambition is bold: create a world where anyone can live anywhere without friction.
 
 
 Powered by
 
 Base360.ai
 
 , our automation and intelligence platform, we&rsquo;re building the operating system for global stays &mdash; syncing property data, orchestrating operations, and powering the infrastructure behind every effortless guest experience.
 
 
 We&rsquo;re hiring a Backend Engineer who loves building automation, scaling systems, and solving real-world problems with clean, resilient software.
 
 
 💡 What You&rsquo;ll Build
 
 
 As a Backend Engineer, you&rsquo;ll architect the foundations of The Flex: the systems, APIs, and automation layers that coordinate global inventory, sync bookings in real time, and enable properties to operate autonomously.
 
 
 Your work will blend digital automation with real-world logistics &mdash; enabling thousands of stays to run smoothly without manual intervention.
 
 
 ⚙️ Your Mission
 
 
 
 Build the Core
 
 &mdash; Design and scale robust APIs and backend services that manage bookings, payments, availability, and property intelligence.
 
 
 
 Automate the Workflows
 
 &mdash; Develop serverless functions and microservices that eliminate repetitive tasks and streamline operations across cities and continents.
 
 
 
 Connect the Ecosystem
 
 &mdash; Implement integrations between Base360.ai and major platforms such as Airbnb, Stripe, Twilio, and Hostaway.
 
 
 
 Engineer for Scale
 
 &mdash; Architect event-driven systems and data pipelines capable of handling millions of events and transactions reliably.
 
 
 
 Power Intelligence
 
 &mdash; Work with AI and data teams to embed smart automation and predictive logic into operational flows.
 
 
 
 Collaborate Closely
 
 &mdash; Partner with product, front-end, and operations teams to translate messy real-world challenges into simple, scalable backend solutions.
 
 
 🧠 You&rsquo;ll Excel in This Role If You Have
 
 
 <ul>
 <li>
 Expertise with Node.js, Python/FastAPI, and AWS serverless.
 </li>
 <li>
 Strong experience building and scaling API-first products.
 </li>
 <li>
 A deep understanding of databases, synchronization logic, and distributed systems.
 </li>
 <li>
 A passion for automation, intelligent operations, and emerging PropTech.
 </li>
 <li>
 A systems-level mindset &mdash; you think in terms of resilience, reliability, and flow.
 </li>
 <li>
 A strong bias toward execution and ownership.
 
 
 </li>
 </ul>
 🌍 Why You&rsquo;ll Love Working Here
 
 
 
 Meaningful Impact
 
 &mdash; Your systems will become the automation engine of thousands of stays across multiple countries.
 
 
 
 High Ownership
 
 &mdash; Small team, no bureaucracy, and the opportunity to influence core architectural decisions.
 
 
 
 Speed &amp; Autonomy
 
 &mdash; Move fast, ship often, and help define the future of our technical ecosystem.
 
 
 
 Performance-Based Rewards
 
 &mdash; Competitive salary + meaningful equity opportunities for top performers.
 
 
 
 Fully Remote
 
 &mdash; Work from anywhere. What matters is excellence, not timesheets.
 
 
 🚫 This Role Is
 
 Not
 
 for You If
 
 
 <ul>
 <li>
 You want slow, predictable routines.
 </li>
 <li>
 You prefer planning meetings over shipping code.
 </li>
 <li>
 You&rsquo;re content writing average software.
 </li>
 <li>
 You&rsquo;re not committed to becoming world-class in your craft.
 
 
 </li>
 </ul>
</div>

Backend Developer

DXC Technology

<div>
 
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 </li>
 </ul>
 
 
 🔹 Advanced Analytics &amp; ML
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 </li>
 </ul>
 
 
 🔹 GenAI Enablement
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 </li>
 </ul>
 
 
 🔹 Collaboration &amp; Business Engagement
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 </li>
 </ul>
 
 
 🔹 Quality, Testing &amp; Governance
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 </li>
 </ul>
 
 
 Required Skills And Experience
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 </li>
 </ul>
 
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
 
</div>

Data Scientist

Capgemini

<div>
 At Capgemini, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From Autonomous vehicles, Electric vehicles to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 Job Description
 
 
 
 We are seeking a highly skilled and experienced Embedded Software Radar Computer Vision Feature Design Engineer to join our dynamic team in Egypt. The ideal candidate will have a strong background in Embedded software, and modern software development practices.
 
 
 
 You Will Be Responsible For
 
 
 
 <ul>
 <li>
 Investigating Geometric Calibration methods between multiple sensors e.g. radar-radar, radar-camera
 </li>
 <li>
 Investigate fusion feature extraction
 </li>
 <li>
 Implement IEE's occupant detection algorithm: Understanding ODS function requirements. Perform ODS Feature evaluation. Set up Decision Making Pipeline with the existing ODS algorithms. Implement existing ODS in AWRL6844.
 
 
 </li>
 </ul>
 
 Required Skills And Competencies
 
 
 
 
 Core Technical Skills:
 
 
 
 <ul>
 <li>
 Expert in Signal Processing, Computer Vision, Multiview Geometry and Radar-Camera Fusion.
 </li>
 <li>
 Basic knowledge of radar signal processing.
 </li>
 <li>
 Real target implementation experience.
 </li>
 <li>
 Advanced embedded programming using DSP
 </li>
 <li>
 Programming: C, MATLAB/Simulink
 </li>
 <li>
 MATLAB incl. signal processing, phased array and instrument control toolboxes
 </li>
 <li>
 TI mmWave SDK
 </li>
 <li>
 C / C++ programming language
 </li>
 <li>
 Version control software (SVN),
 </li>
 <li>
 Requirements management system (DOORS)
 </li>
 <li>
 Microsoft Office
 
 
 </li>
 </ul>
 
 Soft Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Excellent communication, Active listening
 </li>
 <li>
 Self-organizing, Self-driven Team player
 </li>
 <li>
 Problem solving, Out-of-the-box thinking
 </li>
 <li>
 Time management and ability to work under pressure in fast-paced Embedded projects.
 </li>
 <li>
 Continuous learning mindset to keep up with evolving Embedded technologies.
 </li>
 <li>
 Fluent in English (written and spoken)
 </li>
 <li>
 German and / or French are considered as strong asset
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 University degree in engineering, computer science, mathematics or equivalent
 
 
 </li>
 </ul>
 4-6 years of experience in Embedded software with focus on Radar Products.
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem
 
 .
 
</div>

Embedded Software Radar Computer Vision Feature Design 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.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Support development and testing of software applications.
 </li>
 <li>
 Assist in implementing and documenting AI/ML solutions.
 </li>
 <li>
 Contribute to data collection, analysis, and reporting tasks.
 </li>
 <li>
 Collaborate with senior engineers on ongoing projects.
 </li>
 <li>
 Participate in team meetings, knowledge-sharing sessions, and technical reviews.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Current undergraduate student (3rd or 4th year preferred) in Computer sciences &amp; AI.
 </li>
 <li>
 Foundational knowledge in one or more of the following~
 </li>
 <ul>
 <li>
 Programming languages (Python, Java, or C++).
 </li>
 <li>
 Database management (SQL/NoSQL).
 </li>
 <li>
 AI/ML fundamentals (preferred but not required).
 </li>
 <li>
 Software development concepts (OOP, SDLC).
 </li>
 </ul>
 <li>
 Familiarity with Git or other version control systems (a plus).
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to learn quickly and work collaboratively.
 
 </li>
 </ul>
 
 Program Details
 
 
 
 <ul>
 <li>
 Duration~ 2 months, with renewal possibility based on performance and program needs.
 </li>
 <li>
 Status~ Full time or 4 days/week.
 </li>
 <li>
 Location~ On-site.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Site Human Resources
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 Alternant (dur&eacute;e d&eacute;termin&eacute;e)
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2025-09-01
 
 
 
 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>

Apprentice Program (AI & Software Applications)

Explore 181+ Ai engineer in Cairo this December. Find roles across top companies and apply now to boost your career.

181 ai engineer jobs IN Cairo

AI Engineer

AI Engineer

ETIC, Data science - Senior Associate

Backend Developer

Data Scientist

Embedded Software Radar Computer Vision Feature Design Engineer

Apprentice Program (AI & Software Applications)