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data engineer (lead / senior / mid) Jobs in Cairo

data engineer (lead / senior / mid)

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data scientist / senior machine learning engineer Jobs in Cairo

data scientist / senior machine learning engineer

data scientist senior machine learning engineer

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

700apps

<div>
 700Apps is actively seeking a talented and experienced Senior AI Scientist to join our esteemed team. In this pivotal role, you will be responsible for advancing our artificial intelligence initiatives through rigorous research, model development, and the application of cutting-edge technologies. Your expertise will play a crucial role in shaping innovative AI solutions that address complex challenges and drive business outcomes.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct extensive research in artificial intelligence and machine learning to develop state-of-the-art models that can be applied to various domains within the organization
 </li>
 <li>
 Design and implement robust AI algorithms and frameworks, ensuring scalability and efficiency in model performance
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, software developers, and business analysts to translate business needs into technical solutions
 </li>
 <li>
 Lead the development of advanced proofs of concept (POCs) and prototypes to demonstrate the potential of AI technologies to stakeholders
 </li>
 <li>
 Evaluate and refine existing models, implementing best practices to enhance their accuracy and reliability
 </li>
 <li>
 Stay abreast of the latest trends and advancements in AI research, providing thought leadership and insights to the team and the organization
 </li>
 <li>
 Document methodologies, findings, and insights to foster knowledge sharing and ensure reproducibility of results
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong research background
 </li>
 <li>
 5+ years of relevant experience in designing and developing AI models, particularly in natural language processing and large-scale machine learning applications
 </li>
 <li>
 Proficiency in programming languages such as Python and R, along with extensive experience using AI frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Strong understanding of statistical analysis, data mining techniques, and computational methods
 </li>
 <li>
 Demonstrated ability to work on complex datasets and develop accurate predictive models
 </li>
 <li>
 Exemplary problem-solving skills and capacity to work collaboratively in a fast-paced environment
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
 </li>
 <li>
 Publications in reputable AI conferences or journals are an advantage
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Private Health Insurance
 </li>
 <li>
 Training &amp; Development
 </li>
 <li>
 Attractive Salary
 </li>
 <li>
 Social Insurance
 </li>
 <li>
 Family Package
 </li>
 </ul>
</div>

Senior AI Scientist

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

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Junior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Data Science, Statistics, Mathematics, or Engineering
 
 .
 </li>
 <li>
 0 to 2 years of experience required.
 </li>
 <li>
 Internship or academic projects showcasing practical data analysis or ML work.
 </li>
 <li>
 Optional certifications (Google Data Analytics, IBM Data Science, etc.).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 
 Programming:
 
 Solid skills in
 
 Python
 
 (Pandas, NumPy, Scikit-learn) and
 
 SQL
 
 .
 </li>
 <li>
 
 Technical skills:
 
 </li>
 <li>
 Cleans and prepares structured datasets using Pandas or Power Query.
 </li>
 <li>
 Can visualize insights with
 
 Matplotlib, Seaborn
 
 .
 </li>
 <li>
 Understands and implements
 
 Machine learning models.
 
 </li>
 <li>
 Basic understanding of
 
 text preprocessing
 
 (tokenization, stop words, TF-IDF).
 </li>
 <li>
 Exposure to
 
 pretrained models via Hugging Face
 
 for small tasks (e.g., sentiment analysis).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Soft Skills
 
 </li>
 <li>
 Curious mindset and willingness to learn from mentors.
 </li>
 <li>
 Strong analytical thinking and communication of results.
 </li>
 <li>
 Works effectively under supervision within cross-functional teams.
 </li>
 </ul>
</div>

Junior Data Scientist

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</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 830+ Data scientist senior machine learning engineer in Cairo this December. Find roles across top companies and apply now to boost your career.

830 data scientist senior machine learning engineer jobs IN Cairo

Data Scientist / Senior Machine Learning Engineer

Senior AI Scientist

Data Scientist

Junior Data Scientist

Data Scientist

Data Scientist

ETIC, Data science - Senior Associate