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lead data scientist - ai/ml (generative ai) Jobs in Cairo

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ai & automation engineer

ai specialist

Müller's Solutions

<div>
 M&uuml;ller's Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML
 </li>
 <li>
 Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements
 </li>
 <li>
 Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity
 </li>
 <li>
 Implement and optimize AI workflows that facilitate real-time data processing and inference
 </li>
 <li>
 Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings
 </li>
 <li>
 Provide technical guidance and support to teams on best practices for using Google Cloud AI services
 </li>
 <li>
 Document AI project implementations, model performance evaluations, and ongoing maintenance procedures
 </li>
 <li>
 Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders
 </li>
 <li>
 Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform
 </li>
 <li>
 Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn)
 </li>
 <li>
 Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML
 </li>
 <li>
 Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques
 </li>
 <li>
 Ability to work with large datasets, utilizing BigQuery or similar data processing tools
 </li>
 <li>
 Excellent problem-solving skills and a strong analytical mindset
 </li>
 <li>
 Capable of communicating complex technical concepts to diverse audiences effectively
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus
 </li>
 <li>
 Experience with MLOps practices and tools for model deployment and management
 </li>
 <li>
 Familiarity with DevOps practices as they relate to AI and machine learning
 </li>
 <li>
 A background in statistics or applied mathematics is desirable
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 1- Attractive Package.
 
 
 2- Family Benefits.
 
 
 3- Visa.
 
 
 4-Air Tickets.
</div>

Google Cloud AI Specialist

HireOn

<div>
 
 Lead Data Scientist &ndash; GenAI (Generative AI)
 
 
 
 Experience: 10+ Years
 
 
 Location: Cairo, Egypt (onsite;
 
 in-office job
 
 )
 
 
 Employment Type: Full-Time
 
 
 
 About The Role
 
 
 
 Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE and Asian region, is hiring
 
 high-caliber Lead Generative AI Engineers.
 
 
 
 This role is ideal for someone who has
 
 10+ years
 
 of software engineering and AI/ML experience and is now focused on
 
 tool-using LLMs, LangChain, AutoGPT, or similar frameworks
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and architecture of AI-powered enterprise solutions.
 </li>
 <li>
 Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.
 </li>
 <li>
 Deploy LLMs and GenAI applications in production environments.
 </li>
 <li>
 Provide guidance on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.
 </li>
 <li>
 Integrate AI/ML models with enterprise systems for high performance and scalability.
 </li>
 <li>
 Mentor and manage technical teams, ensuring knowledge transfer and best practices.
 </li>
 <li>
 Lead AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.
 </li>
 <li>
 Lead multi-agent systems, and RAG workflow implementations.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 GenAI Expertise: Hands-on experience with LLM fine-tuning and production deployment.
 </li>
 <li>
 AI/ML &amp; Enterprise Architecture: Experience in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.
 
 
 </li>
 </ul>
 Skills: langchain,autogpt,prompt engineering,ai application development,openai,llama2,vector databases,llm frameworks,gemini,embedding models,agentic ai,generative ai,semantic kernel,rag,crewai,agents
</div>

Lead Data Scientist - AI/ML (Generative AI)

Microsoft AI

<div>
 
 Overview
 
 
 
 Microsoft&rsquo;s Online Shopping team is collaborative and interdisciplinary. You will work closely with a diverse team within Microsoft that brings together Applied Scientists, software engineers, Data engineers and Product Managers. By bringing together a unique combination of knowledge and skillsets, as well as cutting edge Technology, we build novel solutions to global online Shopping.
 
 
 As a
 
 Snr Applied Sciences Specialist in AI, and NLP,
 
 you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, collaborate with different team through active engagement with teams from different cultures.
 
 
 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>
 Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques.
 </li>
 <li>
 Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.
 </li>
 <li>
 Review business requirements and incorporate research to meet business goals.
 </li>
 <li>
 Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.
 </li>
 <li>
 Participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams.
 </li>
 <li>
 Identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.
 </li>
 <li>
 Document work in progress and experimentation results and share findings to promote innovation.
 </li>
 <li>
 Use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required/minimum qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate 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 equivalent experience.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
 </li>
 <li>
 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
 </li>
 <li>
 Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
 </li>
 <li>
 3+ years experience conducting research as part of a research program (in academic or industry settings).
 </li>
 <li>
 1+ year(s) experience developing and deploying live production systems, as part of a product team.
 </li>
 <li>
 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
 
 
 </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>

Snr Applied Scientist

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast. By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. We aim for this role to focus on optimization Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructure
 </li>
 <li>
 Monitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Prior experience with Pricing / Economics related problems and/or modelling techniques - we welcome Economics / Econometrics backgrounds and experience
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Data Scientist (Pricing)

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with and leading the top data science talent of the region, leveraging AI to solve the region&rsquo;s day-to-day problems, through state-of-the-art machine learning, optimization, deep learning, and RL models, that are deployed on top of our own in-house AI platform, serving users in real-time.
 
 
 What you'll do
 
 
 <ul>
 <li>
 Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision making.
 </li>
 <li>
 Drive exploratory analysis to understand the ecosystem, user behavior, identify new levers to help move metrics, and build models of user behaviors for analysis and product enhancements.
 </li>
 <li>
 Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
 </li>
 <li>
 Provide product leadership by sharing data-based recommendations to communicate state of business, root cause of change in metrics, and experimentation results influencing product and business decisions
 </li>
 <li>
 Implement scalable machine learning algorithms that will be used in production on big data.
 </li>
 <li>
 Embark on exploratory data analysis projects to achievea better understanding of phenomena as well as to discover untapped areas of growth and optimization.
 </li>
 <li>
 Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
 </li>
 <li>
 Help define and track the appropriate key metrics for specific projects.
 </li>
 <li>
 Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
 </li>
 <li>
 You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
 
 
 </li>
 </ul>
 What you'll need
 
 
 <ul>
 <li>
 Experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
 </li>
 <li>
 Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
 </li>
 <li>
 Strong problem solving and coding skills.
 </li>
 <li>
 Solid knowledge of and experience with marketplace problems in ride hailing and delivery services.
 </li>
 <li>
 Solid knowledge of AB testing, classic ML and DL
 </li>
 <li>
 Solid understanding of recommendations, learning to rank, uplift modeling and matching problems.
 </li>
 <li>
 Fluency in English along with excellent oral and written communication skills.
 </li>
 <li>
 Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
 </li>
 <li>
 Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
 </li>
 <li>
 Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
 </li>
 <li>
 Knowledge of Agile methodologies.
 </li>
 </ul>
</div>

Senior Data Scientist I

Integrant, Inc.

<div>
 
 We Are Hiring!
 
 
 Integrant is seeking talented individuals to join our team as a "Senior Data Scientist." As a senior member of our Data Science team, you will contribute to the development and deployment of advanced data models and algorithms to solve complex business problems. You will work closely with clients to understand their requirements and deliver data-driven insights to drive strategic decision-making.
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Apply statistical and machine learning techniques to analyze structured and unstructured data.
 </li>
 <li>
 Develop and implement predictive models, recommendation systems, and other data products.
 </li>
 <li>
 Work on the exploration and implementation of generative AI techniques to develop innovative applications that enhance business processes and customer experiences.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities and provide data-driven solutions.
 </li>
 <li>
 Present insights and findings to clients in a clear and actionable manner.
 </li>
 <li>
 Mentor and guide junior team members in data science methodologies and best practices.
 </li>
 <li>
 Stay updated with the latest advancements in data science and machine learning fields.
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 <ul>
 <ul>
 <li>
 4+ years of experience in data science or related field.
 </li>
 <li>
 Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is a nice to have.
 </li>
 <li>
 Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
 </li>
 <li>
 Proficient in applying machine learning techniques and algorithms (e.g., decision trees, random forests, SVMs, KNNs).
 </li>
 <li>
 Deep understanding of basic and advanced neural network architectures.
 </li>
 <li>
 Hands on experience with deep learning frameworks (e.g., pytorch, tensorflow, keras).
 </li>
 <li>
 Experience with data visualization and storytelling tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Knowledge of SQL and database systems to extract and manipulate data.
 </li>
 <li>
 Good knowledge about LLMs, RAG and agents.
 </li>
 <li>
 Good to have: Hands on experience in building applications on top of GenAI as Chatbots.
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and presentation skills.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced environment.
 </li>
 <li>
 Experience with cloud technologies (e.g., Azure, AWS) is a plus.
 </li>
 <li>
 &NoBreak;Knowledge of data platforms such as Databricks, Snowflake, or similar is a plus.
 
 
 </li>
 </ul>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi &amp; Nasr City
 </li>
 <li>
 Social insurance
 </li>
 <li>
 In-house Technical and English training programs
 </li>
 <li>
 Flexible work schedules
 </li>
 <li>
 Perks: events, sponsored lunch, game area, rooftop hangout + more!
 </li>
 </ul>
</div>

Senior Data Scientist

Explore 271+ Ai specialist in Cairo this March. Find roles across top companies and apply now to boost your career.

271 ai specialist jobs In Cairo

Google Cloud AI Specialist

Lead Data Scientist - AI/ML (Generative AI)

Snr Applied Scientist

Lead Data Scientist - AI/ML (Generative AI)

Data Scientist (Pricing)

Senior Data Scientist I

Senior Data Scientist