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Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Responsibilities
 
 ~
 
 
 
 <ul>
 <li>
 Develop software requirements by gathering the project's different stakeholders&rsquo; requirements, consolidating them and identifying any conflicting requirements.
 </li>
 <li>
 Participate in system and customer requirements analysis for new products. Responsible for system and customer requirements analysis for projects that have a high reuse factor.
 </li>
 <li>
 Participate in high level design architecture definition for the new products. Responsible for high level design for the projects that have a high reuse factor.
 </li>
 <li>
 Design complicated software component(s) based on defined high-level design.
 </li>
 <li>
 Integrate overall software components based on the project&rsquo;s architecture. This can include traveling to customer sites to ensure smooth delivery.
 </li>
 <li>
 Perform technical reviews on software component design, code, and component test, and integrate test strategy and plan.
 </li>
 <li>
 Present work progress continuously through active participation of daily &amp; weekly project meetings (Internal and external with other Valeo sites)
 </li>
 <li>
 Develop the work breakdown structure and contribute to the estimation of the different project&rsquo;s activities.
 </li>
 <li>
 Contribute effectively in the improvement of standard process, guidelines, checklists, and tools.
 </li>
 <li>
 Ensures the efficiency of the validation techniques and standards used by projects
 </li>
 <li>
 Perform the responsibilities of the previous technical level as per the projects need.
 </li>
 <li>
 Extensive experience in ASPICE-compliant software development, with a strong understanding of quality processes in automotive or embedded systems.Support in performing software integration on the test bench and on the vehicle to ensure the proper functionality.
 </li>
 <li>
 Analyze the test reports and issues reported from the customer and lead the action plan to resolve them ensuring customer satisfaction.
 </li>
 <li>
 Lead local the warranty issue related to SW and capitalize LLC with PG.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 ~
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
 </li>
 <li>
 0-1 years of experience in automotive embedded software development.
 </li>
 <li>
 Proficiency in C/C++ programming languages for embedded systems in addition to experience with scripting languages like Python.
 </li>
 <li>
 Experience with microcontrollers like Renesas, NXP, Aurix.
 </li>
 <li>
 Strong understanding of AUTOSAR architecture, including concepts such as service-oriented communication and application lifecycle management is a plus.
 </li>
 <li>
 Experience with using Vector tools (CANoe, Davinci, VTest Studio, etc) with different types of automotive communication protocols such as LIN, CAN, and Ethernet.
 </li>
 <li>
 Experience with hardware interfacing protocols used in embedded systems including UART, SPI, I2C.
 </li>
 <li>
 Experience with software development tools and methodologies, such as version control systems (e.g., Git), application lifecycle management (e.g. Codebeamer), defect management system, and agile development practices.
 </li>
 <li>
 Experience with requirements management tools (e.g. Codebeamer, DOORS).
 </li>
 <li>
 Strong experience using debugging tools like scopes, logical analyzers, etc.
 </li>
 <li>
 Experience with software automatic and manual testing and test report analysis.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with a strong attention to detail.
 </li>
 <li>
 Effective communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
 
 
 </li>
 </ul>
 
 
 Other Specifications
 
 
 
 
 <ul>
 <li>
 Experience in software development for lighting systems in the automotive industry is highly desirable.
 </li>
 <li>
 Knowledge of cybersecurity concepts and best practices for automotive software development is a plus.
 </li>
 <li>
 Experience with continuous integration/continuous deployment (CI/CD) pipelines and automated testing frameworks for automotive software.
 
 
 </li>
 </ul>
 
 
 Job~
 
 
 
 
 
 R&amp;D Engineer
 
 
 
 
 
 Discipline~
 
 
 
 
 
 Software
 
 
 
 
 
 Location~
 
 
 
 
 
 Cairo, Egypt
 
 
 
 
 
 Schedule~
 
 
 
 
 
 Full time
 
 
 
 
 Position~
 
 
 
 Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-02-26
 
 
 
 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>

Junior Software Engineer, LIGHT

Lua AI (YC F25)

<div>
 
 Location: Cairo, Egypt (remote / hybrid) &middot; Reports to: Head of Operations - MENA
 
 
 &nbsp;
 
 
 
 About Lua
 
 
 
 Lua is the Agent OS. We build digital employees &mdash; agents that do a real job end to end: they read a company&rsquo;s own systems, make the decision, take the action, and get a little better every time they run. Not chatbots that answer questions &mdash; digital workers that do the work, on the company&rsquo;s own data and workflows, and everything they build stays owned by the business. Teams write their logic on Lua (agents, skills, tools, jobs, webhooks, guardrails) and we run the hard parts underneath: infrastructure, multi-provider model orchestration, data, channels (WhatsApp, Slack, Email, Instagram, Messenger, a voice-capable website widget, HTTP API) and monitoring.
 
 
 Our customers are the companies that run their markets &mdash; the operator of one of the world&rsquo;s most-visited heritage sites, a major travel-and-hospitality group, the largest supermarket chain in its country, a listed conglomerate spanning healthcare and consumer goods, large regional banks, social-commerce companies and a microinsurer covering over a million people &mdash; across Africa, the Middle East and South Asia. Together they employ 64,000+ people and turn over $5bn+ a year, and they all want the same thing: to be AI-native on the systems they already run, with nothing to rip out. Backed by Y Combinator, we&rsquo;ve raised $5.8M &mdash; and this is a chance to build the playbook, not inherit one.
 
 
 
 
 
 
 Responsibilities
 
 
 
 We&rsquo;re looking for a junior engineer to join the implementation team and help build and deploy AI agents for our mid-market customers. You&rsquo;ll work alongside a senior implementation engineer, learning the Lua platform and contributing to live customer projects from your first week.
 
 
 This is an apprentice-track role with a clear growth path. You&rsquo;ll start with structured work &mdash; environment setup, testing, knowledge base configuration &mdash; and grow into owning full implementations within 6 months.
 
 <ul>
 <li>
 
 Build agent skills and tools
 
 in TypeScript using the Lua CLI &mdash; the functions that let agents take real actions like API calls, data lookups, and webhook triggers.
 </li>
 <li>
 
 Set up and configure agent environments
 
 : sandbox for development, production for live deployments.
 </li>
 <li>
 
 Configure and manage client knowledge bases
 
 &mdash; the information agents use to answer questions and follow business rules.
 </li>
 <li>
 
 Run QA
 
 and testing cycles before deployment &mdash; test across channels (WhatsApp, web, Slack) and flag issues.
 </li>
 <li>
 Support the senior engineer on active implementations across the full build lifecycle.
 </li>
 <li>
 Write and maintain technical documentation for each implementation.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 1&ndash;2 years writing code
 
 &mdash; professional experience, bootcamp, side projects, or university projects. You need to be comfortable in TypeScript or JavaScript.
 </li>
 <li>
 
 Familiarity with REST APIs, JSON, and basic web architecture.
 
 You know what an endpoint is and how to test with Postman or similar.
 </li>
 <li>
 A fast learner who figures things out by doing, not by waiting for instructions. The platform, CLI, and agent architecture will all be new.
 </li>
 <li>
 Strong written communication &mdash; you&rsquo;ll be in Slack daily, writing updates, flagging blockers, and documenting your work.
 </li>
 <li>
 Reliable. When you say something is done and tested, it needs to actually be done and tested.
 </li>
 <li>
 Fluent in Arabic and English
 </li>
 </ul>
 
 
 
 
 Nice to have
 
 <ul>
 <li>
 Experience with any chatbot or conversational AI platform.
 </li>
 <li>
 Familiarity with WhatsApp Business API, Slack API, or similar messaging platforms.
 </li>
 <li>
 Comfortable with Git, GitHub, and CLI tooling.
 </li>
 <li>
 Previous remote work experience.
 </li>
 </ul>
 
 
 
 
 
 Growth Path
 
 
 <ul>
 <li>
 
 Months 1&ndash;3:
 
 Support builds, learn the platform, follow the runbook, handle structured work.
 </li>
 <li>
 
 Months 3&ndash;6:
 
 Own specific integrations within an implementation. Run client test sessions.
 </li>
 <li>
 
 Months 6&ndash;12:
 
 Own an implementation end-to-end. Client-facing. Responsible for time-to-value on your accounts.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 Hybrid - Most of our work is remote.
 </li>
 <li>
 Small team, massive ownership. No bureaucracy. Ship and iterate.
 </li>
 <li>
 Direct access to the founding team. Your work is visible and impactful from day one.
 </li>
 <li>
 A platform that&rsquo;s actually in production with real customers &mdash; not a pre-product startup.
 </li>
 </ul>
 
 
 
</div>

Junior Implementation Engineer, MENA

LSEG

<div>
 Job Summary:
 
 
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 
 
 Role &amp; Responsibilities:
 
 
 <ul>
 <li>
 Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
 </li>
 <li>
 Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
 </li>
 <li>
 Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
 </li>
 <li>
 Support the creation of dashboards, reports, and data visualizations to communicate findings.
 </li>
 <li>
 Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to understand data patterns and trends.
 </li>
 <li>
 Assist in the maintenance and updating of models and algorithms in production.
 </li>
 <li>
 Develop scripts for automating data processing tasks and workflows.
 
 
 </li>
 </ul>
 Qualifications and Experience Required:
 
 
 <ul>
 <li>
 3-5 years experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 Basic understanding of machine learning algorithms and their applications.
 </li>
 <li>
 Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
 </li>
 <li>
 Familiarity with SQL for querying relational databases and performing data manipulation.
 </li>
 <li>
 Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
 </li>
 <li>
 Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Ability to learn quickly and apply new concepts in data science.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
 </li>
 <li>
 A passion for learning and staying updated with the latest developments in data science and machine learning.
 </li>
 <li>
 Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Familiarity with NoSQL databases like MongoDB or Cassandra.
 </li>
 <li>
 Knowledge of basic NLP techniques for text data analysis.
 </li>
 <li>
 Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
 </li>
 <li>
 Interest in gaining exposure to LLMs and agentic frameworks
 
 
 </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 
 
 
 Career Stage:
 
 
 
 Senior Associate
 
 
 
 London Stock Exchange Group (LSEG) Information:
 
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Junior Data Scientist

Premier Services and Recruitment

<div>
 
 
 Forward Deployed Engineer II
 
 
 
 
 Location:
 
 Maadi, Cairo, Egypt (Hybrid)
 
 
 We are seeking a
 
 Forward Deployed Engineer II
 
 to lead the technical deployment and integration of AI-driven enterprise solutions within banking and enterprise environments. In this role, you will collaborate directly with client IT, infrastructure, security, and business teams to design deployment architectures, build integrations, and ensure successful implementation and ongoing support of client environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the deployment and lifecycle management of enterprise software solutions within client environments, including on-premises and highly secure infrastructures.
 </li>
 <li>
 Design deployment architectures, network topology, security requirements, integration points, and data flows.
 </li>
 <li>
 Develop and maintain technical documentation, including:
 </li>
 <li>
 API documentation
 </li>
 <li>
 Architecture diagrams
 </li>
 <li>
 Integration guides
 </li>
 <li>
 Deployment runbooks
 </li>
 <li>
 Environment handover documentation
 </li>
 <li>
 Update and rollback procedures
 </li>
 <li>
 Build and maintain integration components such as APIs, connectors, adapters, and automation scripts.
 </li>
 <li>
 Integrate solutions with enterprise platforms, including databases, messaging systems, ERP/CRM solutions, and internal APIs.
 </li>
 <li>
 Deploy and manage applications using Docker, Kubernetes, Linux, and related technologies.
 </li>
 <li>
 Manage software updates, patches, and configuration changes in production environments.
 </li>
 <li>
 Troubleshoot complex infrastructure, networking, and security issues involving VPNs, firewalls, proxies, certificates, authentication, and load balancers.
 </li>
 <li>
 Collaborate with Product, Engineering, DevOps, and Delivery teams to ensure seamless deployments and customer success.
 </li>
 <li>
 Participate in technical discovery sessions, solution design, and implementation planning.
 </li>
 <li>
 Identify opportunities to standardize deployment processes and improve delivery efficiency.
 </li>
 <li>
 Mentor junior engineers and contribute to technical best practices.
 </li>
 <li>
 Participate in on-call support and critical production escalations as required.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
 </li>
 <li>
 2&ndash;4 years of experience in Solutions Engineering, Systems Integration, DevOps, Technical Implementation, Backend Engineering, or a similar role.
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 and API development using frameworks such as
 
 FastAPI
 
 ,
 
 Django
 
 , or similar.
 </li>
 <li>
 Experience deploying and managing applications using
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 Linux
 
 .
 </li>
 <li>
 Experience working with on-premises, private cloud, or highly secure enterprise environments.
 </li>
 <li>
 Solid understanding of networking concepts, including VPNs, firewalls, proxies, DNS, TLS/SSL, load balancers, and certificate management.
 </li>
 <li>
 Experience integrating with enterprise systems such as REST/SOAP APIs, Oracle, SQL Server, ERP, CRM, or messaging platforms.
 </li>
 <li>
 Strong troubleshooting and analytical problem-solving skills.
 </li>
 <li>
 Excellent technical documentation and communication skills.
 </li>
 <li>
 Ability to work directly with client technical and business stakeholders.
 </li>
 <li>
 Willingness to travel to client sites when required.
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience within banking, fintech, or enterprise software environments.
 </li>
 <li>
 Knowledge of enterprise security standards and infrastructure best practices.
 </li>
 <li>
 Familiarity with CI/CD pipelines and cloud technologies.
 </li>
 <li>
 Experience working in customer-facing technical delivery roles
 </li>
 </ul>
 
 
 
</div>

Forward Deployed Engineer II

<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

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

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
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AI & Analytics - Sr. Software Engineer with AI Background - Cairo

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