senior java software engineer Jobs in Cairo

senior java software engineer

senior software engineer

site civil engineer

ai / emerging tech security analyst Jobs in Cairo

ai / emerging tech security analyst

ai engineer, light

ai engineer light

Valeo

<div>
 
 
 Mission
 
 
 
 
 <ul>
 <li>
 Utilize AI to improve the efficiency, energy consumption, and overall performance of lighting systems.
 </li>
 <li>
 Leverage synthetic data generated from simulation tools to train and test AI models.
 </li>
 <li>
 Develop AI models that can be easily generalized and parameterized to adapt to different lighting environments and applications.
 </li>
 <li>
 Utilize AI techniques to automate or assist in the annotation of large datasets.
 </li>
 <li>
 Contribute to the development of innovative AI solutions for lighting systems through research, development, and technical publications.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 AI-Driven Lighting Optimization: Employ AI techniques to improve the efficiency, energy consumption, and overall performance of lighting systems. Explore opportunities to enhance lighting control, automation, and user experience.
 </li>
 <li>
 Synthetic Data Utilization: Leverage synthetic data generated from simulation tools to train and test AI models. This will enable more efficient and effective model development, especially in scenarios where real-world data is limited or difficult to obtain.
 </li>
 <li>
 Model Generalization and Parameterization: Develop AI models that can be easily generalized and parameterized to adapt to different lighting environments and applications, and increase the flexibility and scalability of the solutions.
 </li>
 <li>
 Large Dataset Annotation: Utilize AI techniques to automate or assist in the annotation of large datasets. This will streamline the data preparation process and enable more efficient model training.
 </li>
 <li>
 Problem Formulation and Solution Design: Conduct in-depth research to understand and define problems related to lighting systems. Explore and evaluate AI-based algorithms and techniques that can effectively solve these problems. Identify strategies to integrate AI solutions into existing lighting applications.
 </li>
 <li>
 AI Model Development: Create or modify scripts to establish training environments for AI models. Develop new use cases for simulation to enhance model performance. Experiment with different model parameters and environments to optimize training processes. Train and test models to evaluate their accuracy and effectiveness.
 </li>
 <li>
 Data Analysis and Visualization: Analyze datasets to identify potential issues that may impact model accuracy and functionality. Develop insightful data visualizations using dashboards to facilitate data analysis and model evaluation.
 </li>
 <li>
 Documentation and Communication: Document the entire workflow, including research findings, model development processes, and results. Prepare clear and concise presentations to effectively communicate technical concepts and project outcomes.
 </li>
 <li>
 Technical Publications: Contribute to the publication of technical papers or patents when significant milestones are achieved, showcasing your research and development contributions to the field.
 
 
 </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>
 1+ years of experience in automotive embedded software development
 </li>
 <li>
 Extensive experience in Python programming, including object-oriented programming and proficiency in libraries such as Pandas and NumPy.
 </li>
 <li>
 Solid understanding of machine learning fundamentals, encompassing supervised and unsupervised learning techniques. Experience in data analysis and utilizing tools like scikit-learn.
 </li>
 <li>
 Knowledge of deep learning concepts, including artificial neural networks, recurrent neural networks, and long short-term memory networks. Familiarity with deep learning frameworks like PyTorch and TensorFlow.
 </li>
 <li>
 Basic understanding of reinforcement learning principles and experience with tools like stable-baseline and gym.
 </li>
 <li>
 Knowledge of large language models and generative AI techniques
 </li>
 <li>
 Experience with physics-based simulation platforms such as CARLA, Webots, or SCANeR
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Excellent communication and documentation skills.
 </li>
 <li>
 Passion for AI research and development.
 
 
 </li>
 </ul>
 
 
 Other Specifications
 
 
 
 
 <ul>
 <li>
 Experience in software development for lighting systems in the automotive industry is highly desirable.
 </li>
 <li>
 Proficiency in backend development frameworks such as Flask and React is a plus. Knowledge of other relevant backend technologies is also beneficial.
 </li>
 <li>
 Experience with major cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure is a plus
 </li>
 <li>
 Solid understanding and experience with C and C++ programming languages is highly desirable.
 </li>
 <li>
 Experience using MATLAB and Simulink for modeling, simulation, and analysis of systems. Familiarity with MATLAB toolboxes relevant to the specific application domain is a plus.
 </li>
 </ul>
</div>

AI Engineer, LIGHT

<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.
 
 
 
 
 Mission
 
 
 
 
 <ul>
 <li>
 Utilize AI to improve the efficiency, energy consumption, and overall performance of lighting systems.
 </li>
 <li>
 Leverage synthetic data generated from simulation tools to train and test AI models.
 </li>
 <li>
 Develop AI models that can be easily generalized and parameterized to adapt to different lighting environments and applications.
 </li>
 <li>
 Utilize AI techniques to automate or assist in the annotation of large datasets.
 </li>
 <li>
 Contribute to the development of innovative AI solutions for lighting systems through research, development, and technical publications.
 
 
 </li>
 </ul>
 
 
 Responsibilities
 
 ~
 
 
 
 <ul>
 <li>
 AI-Driven Lighting Optimization~ Employ AI techniques to improve the efficiency, energy consumption, and overall performance of lighting systems. Explore opportunities to enhance lighting control, automation, and user experience.
 </li>
 <li>
 Synthetic Data Utilization~ Leverage synthetic data generated from simulation tools to train and test AI models. This will enable more efficient and effective model development, especially in scenarios where real-world data is limited or difficult to obtain.
 </li>
 <li>
 Model Generalization and Parameterization~ Develop AI models that can be easily generalized and parameterized to adapt to different lighting environments and applications, and increase the flexibility and scalability of the solutions.
 </li>
 <li>
 Large Dataset Annotation~ Utilize AI techniques to automate or assist in the annotation of large datasets. This will streamline the data preparation process and enable more efficient model training.
 </li>
 <li>
 Problem Formulation and Solution Design~ Conduct in-depth research to understand and define problems related to lighting systems. Explore and evaluate AI-based algorithms and techniques that can effectively solve these problems. Identify strategies to integrate AI solutions into existing lighting applications.
 </li>
 <li>
 AI Model Development~ Create or modify scripts to establish training environments for AI models. Develop new use cases for simulation to enhance model performance. Experiment with different model parameters and environments to optimize training processes. Train and test models to evaluate their accuracy and effectiveness.
 </li>
 <li>
 Data Analysis and Visualization~ Analyze datasets to identify potential issues that may impact model accuracy and functionality. Develop insightful data visualizations using dashboards to facilitate data analysis and model evaluation.
 </li>
 <li>
 Documentation and Communication~ Document the entire workflow, including research findings, model development processes, and results. Prepare clear and concise presentations to effectively communicate technical concepts and project outcomes.
 </li>
 <li>
 Technical Publications~ Contribute to the publication of technical papers or patents when significant milestones are achieved, showcasing your research and development contributions to the field.
 
 
 </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>
 1+ years of experience in automotive embedded software development
 </li>
 <li>
 Extensive experience in Python programming, including object-oriented programming and proficiency in libraries such as Pandas and NumPy.
 </li>
 <li>
 Solid understanding of machine learning fundamentals, encompassing supervised and unsupervised learning techniques. Experience in data analysis and utilizing tools like scikit-learn.
 </li>
 <li>
 Knowledge of deep learning concepts, including artificial neural networks, recurrent neural networks, and long short-term memory networks. Familiarity with deep learning frameworks like PyTorch and TensorFlow.
 </li>
 <li>
 Basic understanding of reinforcement learning principles and experience with tools like stable-baseline and gym.
 </li>
 <li>
 Knowledge of large language models and generative AI techniques
 </li>
 <li>
 Experience with physics-based simulation platforms such as CARLA, Webots, or SCANeR
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Excellent communication and documentation skills.
 </li>
 <li>
 Passion for AI research and development.
 
 
 </li>
 </ul>
 
 
 Other Specifications
 
 
 
 
 <ul>
 <li>
 Experience in software development for lighting systems in the automotive industry is highly desirable.
 </li>
 <li>
 Proficiency in backend development frameworks such as Flask and React is a plus. Knowledge of other relevant backend technologies is also beneficial.
 </li>
 <li>
 Experience with major cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure is a plus
 </li>
 <li>
 Solid understanding and experience with C and C++ programming languages is highly desirable.
 </li>
 <li>
 Experience using MATLAB and Simulink for modeling, simulation, and analysis of systems. Familiarity with MATLAB toolboxes relevant to the specific application domain is a plus.
 
 
 </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>

<div>
 ResponsibilitiesAI-Driven Requirement Extraction
 
 
 <ul>
 <li>
 Manage and Do the requirement extraction service for the System and Product Architects Network utilizing the company AI tools. This role demands delivering high-accuracy results with rapid turnaround times to support architectural decision-making.
 
 
 </li>
 </ul>
 
 AI &amp; Intelligent Automation
 
 
 
 <ul>
 <li>
 Leverage AI technologies (e.g., AI agents, NLP, automation assistants) to support:
 </li>
 <li>
 Requirement extraction and analysis
 </li>
 <li>
 Compliance and traceability support
 </li>
 <li>
 Engineering data processing and reporting
 </li>
 <li>
 Propose and implement AI-based solutions to improve productivity and reduce manual effort.
 </li>
 <li>
 Collaborate with system engineers to ensure AI solutions align with engineering standards and quality requirements.
 
 
 </li>
 </ul>
 
 Tooling &amp; Scripting Development
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automation tools according to the defined roadmap.
 </li>
 <li>
 Document high-level requirements and technical specifications for developed tools.
 </li>
 <li>
 Develop scripts and applications to automate repetitive engineering activities (e.g., requirement handling, traceability, reports, metrics).
 </li>
 <li>
 Ensure maintainability by documenting tool architecture, design decisions, and usage guidelines.
 
 
 </li>
 </ul>
 
 Toolchain &amp; ALM Support
 
 
 
 <ul>
 <li>
 Define and support the required toolchain for System Engineering activities.
 </li>
 <li>
 Work with Requirement Management and ALM tools (e.g., Codebeamer, DOORS, Core ALM).
 </li>
 <li>
 Support integrations between tools and data sources when needed.
 
 
 </li>
 </ul>
 Key competencies
 
 Technical Skills
 
 
 
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience0 to 2 years experience in tools development
</div>

AI & Tooling Engineer, LIGHT

Müller's Solutions

<div>
 M&uuml;ller's Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML
 </li>
 <li>
 Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements
 </li>
 <li>
 Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity
 </li>
 <li>
 Implement and optimize AI workflows that facilitate real-time data processing and inference
 </li>
 <li>
 Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings
 </li>
 <li>
 Provide technical guidance and support to teams on best practices for using Google Cloud AI services
 </li>
 <li>
 Document AI project implementations, model performance evaluations, and ongoing maintenance procedures
 </li>
 <li>
 Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders
 </li>
 <li>
 Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform
 </li>
 <li>
 Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn)
 </li>
 <li>
 Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML
 </li>
 <li>
 Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques
 </li>
 <li>
 Ability to work with large datasets, utilizing BigQuery or similar data processing tools
 </li>
 <li>
 Excellent problem-solving skills and a strong analytical mindset
 </li>
 <li>
 Capable of communicating complex technical concepts to diverse audiences effectively
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus
 </li>
 <li>
 Experience with MLOps practices and tools for model deployment and management
 </li>
 <li>
 Familiarity with DevOps practices as they relate to AI and machine learning
 </li>
 <li>
 A background in statistics or applied mathematics is desirable
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 1- Attractive Package.
 
 
 2- Family Benefits.
 
 
 3- Visa.
 
 
 4-Air Tickets.
</div>

Google Cloud AI Specialist

Arrow Components

<div>
 
 Position
 
 
 
 Senior Java Software Engineer
 
 
 
 Job Description
 
 
 
 
 Senior Java Software Engineer
 
 
 
 
 Job Summary
 
 
 
 We are looking for a Senior Java Software Engineer to build, enhance, and maintain scalable backend systems. You will work across the software development lifecycle, contribute to solution design, and deliver reliable, high-quality software that directly impacts business outcomes.
 
 
 This role focuses on strong Java engineering fundamentals, with exposure to modern cloud, DevOps, data, and AI-enabled integrations.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain Java-based backend services across multiple releases.
 </li>
 <li>
 Implement new features, handle change requests, and resolve production defects.
 </li>
 <li>
 Estimate tasks accurately and deliver within agreed timelines.
 </li>
 <li>
 Write clean, maintainable, and well-documented code following clean code principles.
 </li>
 <li>
 Debug and troubleshoot complex issues to identify root causes efficiently.
 </li>
 <li>
 Write unit tests using JUnit and follow test-driven development (TDD) practices.
 </li>
 <li>
 Participate in solution and technical design discussions, applying appropriate design patterns.
 </li>
 <li>
 Develop and maintain RESTful APIs.
 </li>
 <li>
 Collaborate closely with team members and cross-functional teams (QA, DevOps).
 </li>
 <li>
 Contribute to CI/CD pipelines and deployment processes using existing DevOps tooling.
 </li>
 <li>
 Continuously learn and adopt new technologies relevant to backend engineering.
 
 
 </li>
 </ul>
 
 DevOps &amp; Deployment (Expected Exposure, Not Ownership)
 
 
 
 <ul>
 <li>
 Work with Docker-based deployments across different environments.
 </li>
 <li>
 Integrate applications into existing CI/CD pipelines (Jenkins, Kubernetes).
 </li>
 <li>
 Support smooth releases and environment stability in collaboration with DevOps teams.
 
 
 </li>
 </ul>
 
 Security &amp; Quality
 
 
 
 <ul>
 <li>
 Apply secure coding practices and follow OWASP Top 10 guidelines.
 </li>
 <li>
 Implement authentication and authorization using JWT / OAuth2.
 </li>
 <li>
 Ensure high code quality through reviews, testing, and automation.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Experience &amp; Education
 
 
 
 <ul>
 <li>
 5+ years of professional experience in Java software development.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science or equivalent practical experience.
 
 
 </li>
 </ul>
 
 Core Technical Skills (Must-Have)
 
 
 
 <ul>
 <li>
 Java: Java 17 or Java 21
 </li>
 <li>
 Spring Ecosystem: Spring, Spring Boot, Spring Data, Spring Security, Spring Cloud
 </li>
 <li>
 Architecture: OOP principles, design patterns, clean code
 </li>
 <li>
 Databases: Oracle or MySQL, database design, ERD
 </li>
 <li>
 ORM: JPA / Hibernate
 </li>
 <li>
 Testing: JUnit and unit testing practices
 </li>
 <li>
 APIs: RESTful web services
 </li>
 <li>
 Messaging: Apache Kafka
 </li>
 <li>
 Build &amp; Version Control: Maven, Git
 </li>
 <li>
 Developer Productivity Tools: Windsurf
 </li>
 <li>
 Experience integrating Generative AI or LLM APIs into backend systems.
 </li>
 <li>
 Interest in applying AI to improve automation, data processing, or developer productivity is highly valued.
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 
 
 (Experience in these areas is a plus, not a requirement)
 
 
 
 
 <ul>
 <li>
 Search &amp; Indexing: Elasticsearch
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana
 </li>
 <li>
 Big Data: Apache Spark.
 </li>
 <li>
 Cloud Platforms: AWS
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work on impactful systems with real business value.
 </li>
 <li>
 Exposure to modern backend architecture, cloud-native tools, and AI-enabled solutions.
 </li>
 <li>
 Collaborative engineering culture with strong technical ownership.
 </li>
 <li>
 Continuous learning and professional growth.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Java Software Engineer

Arrow Electronics

Infomineo

<div>
 
 Description
 
 
 
 About us:
 
 
 
 Infomineo is a fast-growing business insights provider, bringing Brainshoring to global clients across a range of services: Business research, Content Services, Graphic Design, and Data Analytics. Our clients include leading Consultancies, Fortune 500 companies, Governments, and NGOs. Infomineo counts 350+ employees spread across 5 offices covering EMEA and the Americas (Casablanca, Cairo, Dubai, Barcelona and Mexico City).
 
 
 
 About this role:
 
 
 
 We are actively seeking a highly skilled and experienced individual to join us as a Research &amp; Development Engineer. This role requires expertise in DevOps, Cloud Computing, AI projects, API integration, and preferably data engineering. The ideal candidate will play a pivotal role in defining and developing initiatives that leverage AI and automation technologies to enhance our products and services.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Technical Development and Automation:
 </li>
 <li>
 Lead the development and implementation of AI-driven solutions, focusing on automation and efficiency.
 </li>
 <li>
 Utilize DevOps principles to streamline development processes and ensure seamless deployment of AI applications.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Cloud Architecture and Integration:
 </li>
 <li>
 Design and implement scalable cloud architectures to support AI initiatives.
 </li>
 <li>
 Integrate AI solutions with cloud platforms, ensuring optimal performance and scalability.
 </li>
 <li>
 Implement best practices for cloud security and compliance.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 API Integration and Data Engineering:
 </li>
 <li>
 Develop and maintain API integrations to enhance data flow between different systems.
 </li>
 <li>
 Leverage data engineering techniques to process and analyze large datasets for AI model training.
 </li>
 <li>
 Ensure data quality and integrity throughout the integration process.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 AI Project Management:
 </li>
 <li>
 Utilize agile methodologies to manage the lifecycle of AI development projects.
 </li>
 <li>
 Collaborate with stakeholders to define project requirements and deliverables.
 </li>
 <li>
 Track and report on project progress, addressing any challenges or bottlenecks.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Continuous Improvement and Innovation:
 </li>
 <li>
 Stay updated on the latest advancements in AI, automation, and related technologies.
 </li>
 <li>
 Propose and implement improvements to existing systems and processes.
 </li>
 <li>
 Foster a culture of innovation within the team, encouraging creative problem-solving.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 <ul>
 <li>
 1 to 3 years Proven experience in DevOps, Cloud Computing, AI projects and API integration.
 </li>
 <li>
 In-depth knowledge of cloud platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Experience with containerization technologies (e.g., Docker, Kubernetes).
 </li>
 <li>
 Solid understanding of data engineering principles and practices.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 </li>
 </ul>
 
 
 
 
 Preferred Skills:
 
 <ul>
 <li>
 Certifications in relevant technologies (e.g., AWS Certified DevOps Engineer, TensorFlow Developer).
 </li>
 <li>
 Previous experience in data engineering
 </li>
 <li>
 Strong proficiency in relevant programming languages (e.g., Python, Java).
 </li>
 <li>
 Previous experience in developing and deploying AI models in a production environment.
 </li>
 <li>
 Familiarity with machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in building and maintaining data pipelines.
 </li>
 </ul>
 
 What We Offer:
 
 <ul>
 <li>
 Competitive salary and benefits.
 </li>
 <li>
 Opportunity to shape and drive AI and automation initiatives.
 </li>
 <li>
 A collaborative and forward-thinking work environment.
 </li>
 <li>
 Professional development and career growth opportunities.
 </li>
 </ul>
 
 
 
 
 Application Process:
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in DevOps, Cloud Computing, AI projects, API integration, and data engineering. Shortlisted candidates may undergo a technical assessment or interview process to demonstrate their skills.
 
 
 
 
 
 
 What is it like to work at Infomineo?
 
 
 
 If you've spoken with someone who works at Infomineo, you've probably heard that our people are our most valuable asset. Our diversity, both in terms of professional experience and culture, is the company&rsquo;s greatest strength. By being a part of Infomineo, you'll have the opportunity to work alongside a friendly, smart, and international team of researchers that value intellectual vitality and creativity. You will learn the best practices, tools to use when conducting primary and secondary research. You will grow your career, expertise across different regions and industries. As a member of the team, you'll be encouraged to contribute by applying your ideas while playing an instrumental role in the company&rsquo;s development and growth. Within this role, you'll support leading international institutions &amp; companies with the data and information required to fuel key business decisions.
 
</div>

Tech Innovation - R&D Software Engineer - Cairo

Explore 440+ Ai engineer light in Cairo this March. Find roles across top companies and apply now to boost your career.

440 ai engineer light jobs In Cairo

AI Engineer, LIGHT

AI Engineer, LIGHT

AI & Tooling Engineer, LIGHT

Google Cloud AI Specialist

Senior Java Software Engineer

Senior Java Software Engineer

Tech Innovation - R&D Software Engineer - Cairo