ai engineer

planning engineer

elv engineer

engineer i

iam engineer

ml engineer

Smart Bricks

<div>
 
 
 About Us:
 
 
 
 At Smart Bricks, we make residential real estate buying easier and smarter with our industry-leading technology. Our platform uses advanced AI technology to help buyers find the best deals quickly and with less effort, and ultimately give them the confidence they need to make better buying decisions.
 
 
 We&rsquo;re the only PropTech to be backed by some of the world&rsquo;s biggest names in tech and real estate, the likes of NVIDIA, Google, Microsoft, and experts from Zillow, Airbnb, and OpenAI.
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for a talented
 
 AI Engineer
 
 to join our growing team. As an AI Engineer at Smart Bricks, you will be responsible for designing, building, and deploying the machine learning and generative AI systems that power our real estate intelligence platform. You will work closely with our product, backend, and data teams to develop end-to-end ML pipelines, integrate models into production, and ensure they perform reliably and at scale. This role requires strong technical expertise in modern AI/ML frameworks, a deep understanding of the full machine learning lifecycle, and a passion for applying AI to transform how real estate investment decisions are made.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 AI Model Development:
 
 Design, build, and deploy machine learning and generative AI models that power Smart Bricks&rsquo; underwriting automation, market analysis, document intelligence, investment screening, and portfolio analytics features.
 </li>
 <li>
 
 End-to-End ML Systems:
 
 Develop scalable ML pipelines that include data preprocessing, feature engineering, model training, evaluation, deployment, and real-time monitoring.
 </li>
 <li>
 
 Product Integration:
 
 Work closely with data engineers, product managers, and backend engineers to integrate models seamlessly into platform workflows and customer-facing applications.
 </li>
 <li>
 
 Performance, Efficiency &amp; Scalability:
 
 Optimize models for accuracy, latency, reliability, and cost &mdash; ensuring they can scale across asset classes, markets, and large datasets.
 </li>
 <li>
 
 ML Infrastructure:
 
 Build and maintain AI infrastructure such as model registries, feature stores, evaluation frameworks, and automated retraining workflows.
 </li>
 <li>
 
 AI Safety &amp; Reliability:
 
 Implement robust testing, guardrails, monitoring, and evaluation practices to ensure model quality, stability, fairness, and responsible AI behavior.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Proven experience as an
 
 AI Engineer, Machine Learning Engineer, or similar role
 
 , with strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Experience building and deploying ML models in
 
 production
 
 , ideally in data-heavy or analytics-focused environments.
 </li>
 <li>
 Familiarity with real-estate-related datasets is a plus (listings, transactions, valuations, documents, geospatial data, etc.).
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes).
 </li>
 <li>
 Strong understanding of
 
 machine learning algorithms, deep learning architectures, embeddings, LLMs, and vector databases
 
 .
 </li>
 <li>
 Experience working with
 
 large datasets
 
 , distributed training, and performance optimization.
 </li>
 <li>
 Proficiency with
 
 CI/CD
 
 , version control (Git), and automated testing frameworks for ML systems.
 </li>
 <li>
 Strong problem-solving ability, attention to detail, and comfort working in a fast-paced, product-driven startup environment.
 </li>
 <li>
 A passion for applying AI to transform how real estate investment decisions are made.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Impact: Shape the data infrastructure of a platform redefining real estate investing.
 </li>
 <li>
 Ownership: Be a key part of a fast-growing startup and own significant projects from day one.
 </li>
 <li>
 Innovation: Work on cutting-edge technology and deliver real-world impact.
 </li>
 <li>
 Support: Join a team backed by world-class investors and leaders in technology.
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re passionate about building innovative products and excited to shape the future of real estate investing, we&rsquo;d love to hear from you!
 
 
 
 
</div>

AI 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)

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>

Oracle

<div>
 
 Job Description
 
 
 
 As a member of Oracle&rsquo;s Customer Success Services (CSS) organization, your primary role will be to provide post-sales support and cutting-edge AI solutions to Oracle&rsquo;s customer base, while continuously advocating for their needs. You will be responsible for managing and supporting customer environments on Oracle Cloud Infrastructure (OCI) and offering expert guidance to design, build, and deploy intelligent solutions that optimize the performance, availability, and security of Oracle cloud environments.
 
 
 We are seeking a skilled and self-motivated Lead Cloud Architect with a strong blend of architectural design, implementation experience, and advanced artificial intelligence (AI) and machine learning (ML) skills across Oracle Cloud Infrastructure (OCI) and generative AI solutions. The ideal candidate is a forward-thinking IT professional with at least 10 years of industry experience, passionate about AI/ML, and capable of independently addressing complex technical challenges. Prior experience in architecting and automating large-scale infrastructure solutions, preferably on OCI or similar cloud platforms, is essential.
 
 
 Career Level: IC4
 
 
 
 Responsibilities
 
 
 
 The Lead Cloud Architect (LCA) &amp; AI specialist will deliver best-in-class services to CSS customers running solutions on both private and public cloud environments.
 
 
 <ul>
 <li>
 Collaborate with customers and Oracle Sales to capture business and industry requirements, translating them into technical architectures aligned with Oracle&rsquo;s best practices and service delivery standards.
 </li>
 <li>
 Apply industry and Oracle best practices to provide technical guidance on Oracle Cloud and generative AI solutions.
 </li>
 <li>
 Lead and influence architectural design, capacity planning, optimization, and operation of customer solutions on OCI.
 </li>
 <li>
 Design and build scalable infrastructure to deploy generative AI models, efficiently managing compute resources.
 </li>
 <li>
 Lead and mentor highly experienced CSS delivery teams, providing technical governance and guidance.
 </li>
 <li>
 Maintain market awareness of competitor technologies as well as emerging industry trends.
 </li>
 <li>
 Play a leading role in automating cloud infrastructure implementations using the latest cloud capabilities.
 </li>
 <li>
 Support life cycle operations and maintenance activities in OCI.
 </li>
 <li>
 Drive initiatives to mitigate failures and troubleshoot issues across the entire infrastructure stack.
 </li>
 <li>
 Configure and tune system and network parameters for optimal performance.
 </li>
 <li>
 Monitor and ensure system stability and overall performance.
 </li>
 <li>
 Identify and implement enhancements for the health, scalability, and resiliency of cloud services.
 </li>
 <li>
 Document infrastructure architecture, configurations, standards, and processes.
 </li>
 <li>
 Serve as the primary contact for new business opportunities, supporting the CSS pre-sales team by identifying and promoting opportunities for Oracle products and services to support business growth.
 
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field required.
 </li>
 <li>
 Enterprise Design/Architecture Framework experience (e.g., TOGAF) is highly desirable.
 </li>
 <li>
 Minimum 10 years of experience as a Senior Cloud Architect delivering enterprise solutions or transformation programs, ideally targeting cloud technologies
 </li>
 <li>
 Deep experience in various aspects of designing and provisioning Oracle Cloud services, including architectural decisions, overseeing security aspects, and helping the team through the OCI transformation processes:
 </li>
 <ul>
 <li>
 Architecture Design: Develop and design robust and scalable Oracle Cloud solutions based on business requirements, ensuring optimal performance, security, and reliability.
 </li>
 <li>
 Implementation: Lead the implementation and deployment of Oracle Cloud infrastructure, services, and applications, following best practices and standards.
 </li>
 <li>
 Cloud Migration: Collaborate with teams to plan and execute the migration of on-premises systems and applications to the Oracle Cloud platform.
 </li>
 <li>
 Security Assurance: Ensure the security of Oracle Cloud environments by implementing and enforcing security policies, access controls, and encryption mechanisms.
 </li>
 <li>
 Performance Optimization: Monitor and optimize Oracle Cloud resources to enhance system performance, responsiveness, and cost efficiency.
 </li>
 </ul>
 <li>
 Proficient in Artificial Intelligence (AI) and Machine Learning (ML):
 </li>
 <ul>
 <li>
 Experience with GenAI, machine learning, data science, language models (LLMs), and/or LangChain.
 </li>
 <li>
 Proven ability to design, build, and deploy advanced machine learning or generative AI systems&mdash;especially focusing on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search solutions.
 </li>
 <li>
 Ability to translate business requirements into robust AI or ML models.
 </li>
 </ul>
 <li>
 Strong experience with automation, DevOps, and GitOps practices, including:
 </li>
 <ul>
 <li>
 Container technologies (e.g., Docker, Kubernetes)
 </li>
 <li>
 Git-based source control systems (e.g., Bitbucket, GitHub, GitLab)
 </li>
 <li>
 CI/CD tools (e.g., Jenkins)
 </li>
 <li>
 Infrastructure as Code tools (e.g., Terraform, Ansible)
 </li>
 <li>
 Experience with cloud provider CI/CD offerings (e.g., OCI, Azure, AWS)
 
 </li>
 </ul>
 </ul>
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
 
 
 When everyone&rsquo;s voice is heard, we&rsquo;re inspired to go beyond what&rsquo;s been done before. It&rsquo;s why we&rsquo;re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
 
 
 We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.
 
 
 Disclaimer:
 
 
 Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
 
 
 
 Qualifications
 
 
 
 Career Level - IC4
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

CSS - Lead Cloud Architect & AI specialist (Cairo)

Microsoft

<div>
 
 Overview
 
 
 
 Join the Microsoft Shopping team! We deliver smart shopping experiences with personalization, savings, transparency, and convenience, ensuring confidence in every purchase. Microsoft Shopping is your personal shopping companion, empowering customers to shop smarter and discover what they love. By harnessing the power of AI (artificial intelligence), LLMs (large language models) and LLM-based Agents, we are building best-in-class shopping experiences across Bing, MSN, and Edge. If you are passionate about transforming the online shopping experience for millions of users, this role is for you.
 
 
 We are seeking an
 
 Applied Scientist
 
 who is passionate about machine learning, data analysis, and ML (machine learning) modeling to join our team. Your expertise will drive innovation and ensure the team is aligned with the Microsoft Shopping vision. This position offers a unique blend of scientific research, innovation, and strategic influence, allowing you to make a significant impact on both the team and the overall shopping experience at Microsoft Shopping.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage state-of-art machine learning techniques to provide best personalized experience to end users.
 </li>
 <li>
 Originate, implement, and iterate on machine learning features &amp; models to keep improving our product quality.
 </li>
 <li>
 Closely collaborate with different teams within Microsoft to expose best personalized contents to end users, enable agile development &amp; experiments, deliver cross-team impact.
 </li>
 <li>
 Team lead and mentor resources across projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
 </li>
 <li>
 2+ years of experience with machine learning, data analysis, and modeling.
 </li>
 <li>
 Experience with LLMs (prompting, fine tuning, deployment).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Demonstrated ability to be productive and effective in a highly collaborative environment.
 </li>
 <li>
 Experience in Big Data machine learning with Cosmos/Scope/Spark/.
 </li>
 <li>
 Experience with design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Sciences II

Arrow Components

<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

Explore 158+ Ml engineer in Cairo this December. Find roles across top companies and apply now to boost your career.

158 ml engineer jobs IN Cairo

AI Engineer

Apprentice Program (AI & Software Applications)

AI Engineer

CSS - Lead Cloud Architect & AI specialist (Cairo)

CSS - Lead Cloud Architect & AI specialist (Cairo)

Applied Sciences II

Data Scientist / Senior Machine Learning Engineer