173 Ml Engineering jobs in Egypt

A leading Engineering Training Company is seeking Data science & AI instructor

to join our team.

As a Data Science Instructor, you'll play a pivotal role in our trainees' development.

Responsibilities:

• Develop and refine engaging session materials that resonate with diverse learning styles.

• Curate and prepare relevant datasets for practical exercises and impactful projects.

• Deliver clear, concise, and compelling explanations of complex technical concepts.

• Provide timely and insightful support to trainees through various communication channels.

• Evaluate progress and offer constructive mentorship, guiding trainees through their learning journey.

• Stay at the forefront of industry trends, continuously updating your knowledge of new technologies and tools.

Qualifications and requirements

-5 years of experience in, Data Science and related fields

-Educational background in relevant fields such as Engineering, Computer Science, Statistics, or Business.

-Communication Skills Articulate complex ideas clearly and effectively.

-Outstanding Presentation Skills

-Command attention and inspire learning.

-High Commitment Level Dedicated to trainee success and program excellence.

Strong Leadership Skills: -Guide and motivate aspiring professionals.

Technical Skills:

• Python Programming

• Data Analysis

• Deep Learning

• Machine Learning with Python

How to Apply:

If you're passionate about technology and eager to contribute to an innovative engineering training company, please send your CV to:

-

Space Code Academy is expanding its teaching team and looking for passionate
Data Science & Machine Learning professionals
to join as
part-time instructors
. This role is ideal for experts who want to share their knowledge, mentor aspiring data scientists, and gain recognition as leaders in the field.

Responsibilities:

• Deliver interactive training sessions covering Data Science & Machine Learning.
• Guide students through practical projects, case studies, and industry applications.
• Mentor learners on tools, frameworks, and career paths.

What We Offer:

• Flexible part-time teaching schedules.
• Competitive and rewarding compensation.
• A dynamic academic community with growth opportunities.
• Recognition as a subject-matter expert in AI & Data Science.

Requirements:

• Strong expertise in
  Python
  and core libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Solid understanding of
  Machine Learning algorithms
  (supervised & unsupervised).
• Knowledge of
  Deep Learning
  frameworks (TensorFlow / PyTorch) is a plus.
• Experience in
  Data Analysis, Statistics, and Visualization
  .
• Previous teaching or mentoring experience is highly valued.
• Excellent communication skills in English.

How to Apply:

• Send your CV to
  
  with the subject line
  "Part-Time Data Science & ML Instructor Application"
  .

AI/ML Engineering, Senior Tech Lead, Cairo, Egypt
Connect to your career at Deloitte
Deloitte, established globally in 1845, is the world's largest and leading professional services firm, providing Audit & Assurance, Tax & Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.

Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North & South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients' most complex business problems, across portfolios that include 'Strategy & Transactions', 'Customer', 'Engineering, AI & Data, 'Enterprise, Technology & Performance' and 'Cyber'. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.

We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.

Connect to your opportunity
Data requirements gathering and client engagement.

• Being able to engage with the client to understand their pain points and requirements.
• Communicate solutions/propositions effectively back to client/team.

Data analysis and pre-processing

• Collect and clean large datasets for machine learning projects.
• Explore data to identify patterns, anomalies, and potential insights.
• Pre-process data, including feature engineering and normalization.

Algorithm Development

• Design, develop, and implement machine learning algorithms.
• Experiment with various machine learning models and techniques.
• Optimize algorithms for accuracy, efficiency, and scalability.

Model Training and Evaluation

• Train machine learning models using collected data.
• Perform testing to validate models
• Evaluate model performance using appropriate metrics and techniques.
• Fine-tune models to improve predictive accuracy.

Data Visualization

• Create informative data visualizations to communicate insights effectively
• Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualisation software's like Tableau, PowerBI.

Connect To Your Skills And Professional Experience
You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.

• 10+ years of experience in data engineering / data science

Essentials

• Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
• Data proficiency: Proficient in data collection, pre-processing, and analysis.
• Model Mastery: Proven experience in developing and fine-tuning machine learning models.

Desirables

• Domain Knowledge: Familiarity with deploying ML frameworks in industry
• Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements.
• Project Leadership: Previous experience leading AI/ML initiatives.

Diversity is our strength, and we celebrate the individuality of our team members. At Deloitte, we embrace differences and encourage everyone to be their authentic selves. We believe that it's these differences that keep us strong, successful, and diverse. Join us and be a part of a team that values your uniqueness

Connect to your service line - Technology and Transformation
Distinctive thinking, deep expertise, and collaborative working. That's what connects us. That's what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we'll make an impact that matters.

Personal independence
Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.

Connect to your Industry
"What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte's clients include many of the world's largest organisations; I wanted to be part of a team that made a difference that I could be proud of."

• Dan, Technolgy & Transformation

Our commitment to you
Making an impact is more than just what we do: it's why we're here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.

We want you. The true you. Your own strengths, perspective, and personality. So, we're nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we'll take your wellbeing seriously, too. Because it's only when you're comfortable and at your best that you can make the kind of impact you, and we, live for.

Your expertise is our capability, so we'll make sure it never stops growing. Whether it's from the complex work you do, or the people you collaborate with, you'll learn every day. Through world-class development, you'll gain invaluable technical and personal skills. Whatever your level, you'll learn how to lead.

Connect to your next step
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you'll experience a purpose you can believe in and an impact you can see. You'll be free to bring your true self to work every day. And you'll never stop growing, whatever your level.

We are seeking a passionate and experienced Data Science Instructor to join our team and work remotely with our Partner from Germany. In this role, you will guide learners through the fundamentals and advanced concepts of data science, ensuring they gain practical, hands-on skills that prepare them for real-world applications. You will not only teach but also inspire, mentor, and create engaging learning experiences for individuals eager to enter or grow within the data industry.

Key Responsibilities

Deliver high-quality instruction in Python for Machine Learning and SQL

Design, develop, and maintain curriculum, lesson materials, and coding exercises

Provide hands-on guidance in building and deploying data products in team-based projects

Offer constructive feedback through code reviews, mentoring, and pair programming sessions

Foster a supportive and inclusive learning environment where students feel empowered to ask questions, experiment, and grow

Stay up-to-date with data science trends and integrate emerging tools and practices into teaching

Support learners through assessments, project reviews, and personalized feedback

Requirements

-Proven experience in Machine Learning with Python and SQL

-Practical background in building and maintaining data-driven products in a team setting

-Excellent communication skills, both written and verbal, with the ability to break down complex topics into simple, engaging explanations

-Strong passion for teaching, mentoring, and empowering others through data skills

-Experience using GitHub in a collaborative environment (comfortable with version control, code review, and best practices)

Nice to Have

Experience with NLP using Hugging Face

Knowledge of time series modeling

Prior professional teaching, training, or mentoring experience

Who You Are

-A data professional who enjoys sharing knowledge and creating learning experiences

-A team player who values collaboration, code quality, and best practices

-A lifelong learner who is excited to stay current in the fast-evolving field of data science

Description
Established in the region for 40 years, PwC has around 12,000 people in 12 countries across the region: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, the Palestinian territories, Qatar, Saudi Arabia and the United Arab Emirates.

Our regional team operates across the Middle East bringing international experience delivered within the context of the region and its culture. We can bring the collective knowledge and experience of more than 370,000 people across the entire global PwC network in advisory, assurance and tax to help you find the value you are looking for.

Line of Service
Advisory

Industry/Sector
Technology

Specialism
Advisory - Other

Management Level
Associate

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Education
(if blank, degree and/or field of study not specified)
Degrees/Field Of Study Required
Degrees/Field of Study preferred:

Certifications
(if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, 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, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 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

Position Summary:

We are seeking a skilled Data Science Engineer with expertise in the Java stack to join our team. The ideal candidate will have 2 years of experience and will be responsible for developing and revamping finance and product dashboards, creating data crawlers, and designing SQL procedures and events to collect and summarize data effectively. This role combines backend development, database management, and data analysis to support informed decision-making.

Key Responsibilities:

• Dashboard Development & Maintenance:
• • Develop, revamp, and maintain finance and product dashboards using Spring Boot, Spring MVC, and MySQL.
• Ensure dashboards provide accurate and timely insights to management.
• Data Crawling & Collection:
• • Design and implement data crawlers to extract relevant data from multiple sources.
• Automate data collection processes to ensure reliability and scalability.
• Database Management & Optimization:
• • Write, optimize, and maintain SQL procedures, events, and queries to collect, summarize, and process data.
• Manage MySQL databases to ensure data integrity, performance, and scalability.
• Develop automated workflows for data ingestion, transformation, and summarization.
• Data Analysis & Reporting:
• • Analyze and process large datasets to identify trends and actionable insights.
• Deliver clear, comprehensive reports on finance and product performance through dashboards.
• Collaboration & Integration:
• • Work closely with cross-functional teams to understand data and reporting needs.
• Integrate collected data into dashboards and ensure real-time updates.
• Documentation & Best Practices:
• • Maintain detailed documentation for crawlers, SQL procedures, events, and workflows.
• Follow best practices for secure and efficient data handling and coding standards.

Requirements

• Bachelor's degree in computer science, Engineering communication or any other relevant field.
• Experience:
• • 2+ years of experience as a Data Science Engineer, Backend Developer, or similar role.
• Hands-on experience with Spring Boot, Spring MVC, and MySQL.
• Technical Skills:
• • Proficiency in Java and Object-Oriented Programming (OOP).
• Strong knowledge of SQL for creating procedures, triggers, and events.
• Experience with data crawling techniques and tools.
• Familiarity with optimizing database performance and ensuring scalability.
• Problem-Solving & Analytical Skills:
• • Ability to design efficient workflows for data collection and summarization.
• Strong analytical skills for interpreting complex datasets and generating insights.
• Soft Skills:
• • Excellent communication and collaboration abilities.
• Attention to detail and a proactive approach to problem-solving.

Preferable to Have:

• Knowledge of financial data systems or analytics tools.
• Familiarity with REST APIs for data integration.
• Experience with Agile or Scrum methodologies.

We're Hiring – Data Science Instructor

We're looking for an experienced Data Science Instructor to deliver a Diploma in Data Science (recorded courses platform).

Requirements:

5+ years of professional experience in Data Science / Machine Learning

Previous teaching/training experience

Strong knowledge of Python, SQL, Statistics & Data Visualization

Familiarity with Machine Learning models & AI concepts

Excellent presentation & communication skills

Teleperformance
is a global digital business services company. Our global scale and local presence allow us to be a force of good in supporting our communities, our clients, and the environment.

Join Our Team as a Manager, Data Science and Advanced Analytics

Are you a passionate data leader ready to drive business growth through innovative analytics? We are looking for a
Manager, Data Science and Advanced Analytics
to spearhead high-impact data initiatives and transform complex information into strategic insights. In this role, you will be a key player, leading a team to analyze intricate data sets, build sophisticated predictive models, and leverage cutting-edge AI to enhance our business capabilities.

You'll partner with cross-functional teams to tackle business challenges across Transmed's regional countries and business models. This is more than just a technical role; it's about leading change and enabling smart, data-driven decisions that shape our future.

What You'll Do:

• Lead with Vision:
  Direct and develop a team of data professionals, aligning their work with our strategic goals.
• Deliver Impact:
  Translate raw data into actionable insights that senior leadership and stakeholders can use to make informed decisions.
• Drive Innovation:
  Apply advanced techniques, including machine learning, natural language processing (NLP), and data visualization, to solve complex business problems.
• Build Relationships:
  Collaborate with leaders, customers, and partners to understand their needs and deliver data solutions that create real value.
• Communicate Clearly:
  Present complex findings in a clear, compelling way that everyone understands, ensuring insights lead to action.

What You'll Bring:

• A bachelor's degree in information technology, Computer Science, or Applied Mathematics. A master's degree is a significant plus.
• At least
  6 years of professional experience
  in a business technology environment, with a strong background in statistical modeling and data visualization.
• Over
  4 years of experience
  in a leadership role, managing and mentoring a team.
• Expertise in programming languages, particularly Python.
• Familiarity with cloud computing platforms like Azure or AWS is highly desirable.
• Certifications in databases and statistical modeling are a plus.

If you are a strategic thinker with a knack for turning data into a competitive advantage, we want to hear from you.

Purpose of the job
This role is responsible for leading the development and implementation of advanced analytics, machine learning models, and data driven solutions to drive business insights and staretgic decision-making. It involves designing and optimizing predictive models, uncovering patterns in large datasets, andcollaborating with cross-finctional teams to enhance data-driven decision making.

Duties And Responsibilities

• Lead AI/ML initiatives, driving innovation and strategic alignment with business objectives.
• Develop, architect and optimize large-scale deep learning and generative AI solutions.
• Build robust pipelines for continuous model deployment, monitoring, and governance.
• Research and implement cutting-edge AI advancements
• Mentor and guide junior and mid-level data scientists, fostering a culture of innovation.

Job specification
Education

Bachelors degree in Computer Science, Engineering or Statistics.

Skills And Abilities

• Fluent English and Arabic is a must
• Ability to work in a fast-paced, dynamic environment, handling multiple concurrent
• Detail-oriented and process oriented.
• Flexibility in dealing with people with diverse working styles
• Analytical Mindset
• Business Acumen
• Solid experience in classical ML modelling
• Solid experience in deep learning architectures.
• Experience in Generative AI (LLMs, GANs, diffusion )
• Knowledge in MLOps, including model drift detection, and scaling ML systems.
• Leadership skills with experience in managing business stakeholders and projects
• Experience with SQL
• 4+ years of experience in AI, machine learning, and deep learning is preferred
• Experience with reinforcement learning and foundation models is a plus
• Contributions to AI research, patents, or open-source projects is a plus