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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

Arrow Electronics

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

DXC Technology

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

Data Scientist

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

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

ETIC, Data science - Senior Associate

Explore 412+ Machine learning engineer in Cairo this December. Find roles across top companies and apply now to boost your career.

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Data Scientist / Senior Machine Learning Engineer

Data Scientist / Senior Machine Learning Engineer

Data Scientist / Senior Machine Learning Engineer

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ETIC, Data science - Senior Associate