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Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.
 </li>
 <li>
 Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.
 </li>
 <li>
 Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.
 </li>
 <li>
 Build clean, scalable, and maintainable backend services and APIs using Python.
 </li>
 <li>
 Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).
 </li>
 <li>
 Integrate conversational AI solutions with enterprise systems and third-party services.
 </li>
 <li>
 Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.
 </li>
 <li>
 Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.
 </li>
 <li>
 Collaborate within an Agile development environment and mentor junior team members when needed.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
 </li>
 <li>
 Strong hands-on experience with Python and software engineering best practices.
 </li>
 <li>
 Proven experience developing conversational AI solutions using RASA.
 </li>
 <li>
 Hands-on experience with Google Cloud Platform (GCP) services.
 </li>
 <li>
 Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.
 </li>
 <li>
 Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.
 </li>
 <li>
 Proficiency with Git and collaborative software development workflows.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Knowledge of Terraform or other Infrastructure-as-Code tools.
 </li>
 <li>
 Experience implementing CI/CD pipelines and MLOps workflows.
 </li>
 <li>
 Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.
 </li>
 </ul>
 
 
</div>

AI/ML Developer Level II

<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
 
 
 
 
 Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation.
 
 
 Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.
 
 
 We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop &amp; re-use the core AI components of the framework.
 </li>
 <li>
 Implement APIs, models, optimize for performance, and integrate with adjacent systems.
 </li>
 <li>
 Conduct various testing (Unit Test, API Testing, Load Testing, &hellip;) for the developed components.
 </li>
 <li>
 Document all the developed components.
 </li>
 <li>
 Deploy developed products and maintain them.
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.
 </li>
 <li>
 B.Sc. in Computer science
 
 
 </li>
 </ul>
 
 
 Professional
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 2-5 Years of experience.
 </li>
 <li>
 Knowledge of AI/ML and GenAI.
 </li>
 <li>
 Knowledge and development for cloud platforms (GCP, AWS) is a plus.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-06-02
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

AI Engineer, AI4ALL

Systems Limited - Egypt

<div>
 
 
 About the Role:
 
 
 
 We are seeking a highly skilled
 
 Technical Product Owner
 
 with deep expertise in
 
 Data &amp; AI
 
 to lead the development of innovative data-driven products and AI solutions. You will bridge the gap between business stakeholders and engineering teams, ensuring that our data initiatives align with strategic objectives and deliver measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Act as the
 
 Product Owner
 
 for Data &amp; AI initiatives, managing the
 
 product backlog
 
 , prioritizing features, and defining user stories.
 </li>
 <li>
 Collaborate closely with
 
 Data Engineers, Data Scientists, and AI teams
 
 to translate business requirements into technical solutions.
 </li>
 <li>
 Drive the
 
 end-to-end lifecycle
 
 of AI/ML and data products, from ideation and requirements gathering to deployment and monitoring.
 </li>
 <li>
 Ensure alignment of data strategies with
 
 business objectives
 
 , including analytics, predictive modeling, and AI use cases.
 </li>
 <li>
 Define
 
 technical product roadmaps
 
 and drive adoption of best practices in data architecture, governance, and AI deployment.
 </li>
 <li>
 Collaborate with
 
 stakeholders
 
 to understand their needs and translate them into actionable features.
 </li>
 <li>
 Measure product performance using relevant KPIs and iterate on features for continuous improvement.
 </li>
 <li>
 Stay abreast of the
 
 latest trends in AI, machine learning, and data technologies
 
 , evaluating opportunities for innovation.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Data Science, AI, Engineering, or related field
 
 .
 </li>
 <li>
 3_4 Proven experience as a
 
 Technical Product Owner
 
 in
 
 data-intensive or AI-focused projects
 
 .
 </li>
 <li>
 Strong understanding of
 
 data engineering, AI/ML models, data pipelines, cloud data platforms (AWS, Azure, GCP)
 
 .
 </li>
 <li>
 Experience with
 
 analytics, AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), and data visualization tools
 
 .
 </li>
 <li>
 Solid knowledge of
 
 agile methodologies
 
 , backlog management, and working with cross-functional teams.
 </li>
 <li>
 Excellent
 
 communication skills
 
 to bridge technical and business conversations.
 </li>
 <li>
 Strong problem-solving skills and the ability to make
 
 data-driven product decisions.
 
 </li>
 </ul>
 
 
 
</div>

Technical Product Owner – Data & AI

Alignerr

<div>
 
 About The Role
 
 
 
 What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers in Cairo to build, evaluate, and improve AI-generated code &mdash; helping train AI systems to think like real developers.
 
 
 You'll write solutions, review AI outputs, and provide the expert-level feedback that makes AI coding assistants smarter, safer, and more reliable. This is hands-on engineering work at the frontier of AI development &mdash; not theoretical, not bureaucratic, and not boring.
 
 
 This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Write, debug, and optimize code across a range of languages, frameworks, and problem domains
 </li>
 <li>
 Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices
 </li>
 <li>
 Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs
 </li>
 <li>
 Provide structured, detailed feedback explaining why code works &mdash; or doesn't
 </li>
 <li>
 Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities
 </li>
 <li>
 Compare and rank multiple AI-generated solutions based on engineering quality
 </li>
 <li>
 Work independently and asynchronously &mdash; fully on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar)
 </li>
 <li>
 Solid understanding of data structures, algorithms, and software design principles
 </li>
 <li>
 Able to read, write, and reason about code with clarity and precision
 </li>
 <li>
 Strong problem-solving instincts and a systematic debugging approach
 </li>
 <li>
 Clear written communicator &mdash; you can explain technical decisions in plain language
 </li>
 <li>
 Self-motivated and reliable when working independently without supervision
 </li>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field &mdash; or equivalent practical experience
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience across multiple languages or tech stacks (full-stack, backend, systems, data engineering)
 </li>
 <li>
 Familiarity with AI/ML concepts, LLMs, or prompt engineering
 </li>
 <li>
 Background in code review, technical writing, or mentoring junior developers
 </li>
 <li>
 Experience with cloud platforms, DevOps, or distributed systems
 </li>
 <li>
 Competitive programming, open-source contributions, or side projects that demonstrate your craft
 </li>
 <li>
 Advanced degree in Computer Science or related discipline
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with intellectually stimulating, high-impact work
 </li>
 <li>
 Directly influence how AI writes, understands, and reasons about code
 </li>
 <li>
 Sharpen your own engineering skills by evaluating diverse problems daily
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer (AI Training)

Nawy

<div>
 Nawy Proptech is in search of a highly motivated and talented Data Engineer to become a valuable addition to our dynamic team. As a Data Engineer at Nawy, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.
 
 
 <ul>
 <li>
 Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions
 </li>
 <li>
 Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure
 </li>
 <li>
 Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs
 </li>
 <li>
 Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data
 </li>
 <li>
 Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity
 </li>
 <li>
 Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities
 </li>
 <li>
 Perform data modeling and schema design to support analytical and reporting requirements
 </li>
 <li>
 Design and build data marts and business layers to facilitate efficient data access and analysis
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work
 </li>
 <li>
 Proven experience as a Data engineer or similar role, with at least 1 years of experience
 </li>
 <li>
 Advanced SQL knowledge/experience - complex queries and query optimization
 </li>
 <li>
 Proficiency in programming languages such as Python
 </li>
 <li>
 Experienced in the development of data warehouses and proficient in data modeling
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
 </li>
 <li>
 Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 The ability and willingness to learn new technologies on the job
 </li>
 <li>
 Self driven, highly motivated, fast learner, ambitious and creative
 </li>
 </ul>
</div>

Data Engineer

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