data scientist (personalization) Jobs in Alexandria

data scientist (personalization)

data scientist (pricing) Jobs in Alexandria

data scientist (pricing)

lead ai / ml engineer

senior data scientist (ml/ai and genai) Jobs in Alexandria

senior data scientist (ml/ai and genai)

data 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 Personalization and Recommendation Engines. 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.
 </li>
 <li>
 We aim for this role to focus on Personalization and Recommendation Engines capabilities
 </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 modelsVisualize 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, Computer Science, Software Engineering
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 3 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 Personalisation and Evaluation related problems and/or modelling techniques
 </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 Delivery, 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 (Personalization)

<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)

Sana Commerce

<div>
 
 
 At Sana Commerce we're committed to an inclusive environment and recognize that our diverse work\force is one of our greatest strengths.
 
 
 
 
 
 It all started in 2007, with a pizza and a plan.
 
 Sana Commerce is an e-commerce platform designed to help manufacturers, distributors and wholesalers succeed by fostering lasting relationships with customers who depend on them.
 
 We&rsquo;re a fast-growing SaaS company that allows you to take ownership of your career.
 
 
 
 
 At Sana Commerce, we are looking for a
 
 Senior Data Scientist (ML/AI &amp; GenAI)
 
 to shape and operationalize the next generation of AI capabilities within our platform. You will play a key role in designing, building, and scaling intelligent features such as Retrieval-Augmented Generation (RAG), semantic search, and document processing systems.
 
 
 
 
 This is a hands-on role that blends machine learning expertise with strong software engineering practices. You will work closely with Data Scientists, ML Engineers, Engineering Managers, and Product teams to deliver production-grade AI solutions within our Azure ecosystem.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 GenAI Development &amp; Architecture
 
 
 
 
 <ul>
 <li>
 
 Design and build end-to-end Generative AI applications, including RAG pipelines, LLM orchestration, and semantic search solutions
 
 
 
 </li>
 <li>
 
 Collaborate with Product Managers and Engineering Leads to identify high-impact AI opportunities and translate them into scalable architectures
 
 
 
 </li>
 <li>
 
 Apply best practices for distributed ML systems to ensure modularity, maintainability, and scalability
 
 
 
 </li>
 <li>
 
 Optimize AI systems for latency, cost-efficiency, and data privacy
 
 
 
 </li>
 <li>
 
 Establish and promote architectural standards for AI/ML services
 
 
 
 </li>
 </ul>
 
 
 MLOps &amp; Production Excellence
 
 
 
 
 <ul>
 <li>
 
 Own the full lifecycle of ML models, from experimentation to production deployment
 
 
 
 </li>
 <li>
 
 Productionize models as scalable microservices using FastAPI, Docker, and Kubernetes (AKS)
 
 
 
 </li>
 <li>
 
 Implement and promote MLOps best practices, including CI/CD, monitoring, and data validation
 
 
 
 </li>
 <li>
 
 Ensure systems are observable, reliable, and aligned with engineering and security standards
 
 
 
 </li>
 <li>
 
 Translate complex AI concepts into practical, implementable solutions for engineering teams
 
 
 
 </li>
 </ul>
 
 
 Collaboration &amp; Engineering Culture
 
 
 
 
 <ul>
 <li>
 
 Work closely with Engineering Managers, Data Scientists, and Product teams to deliver impactful AI-driven features
 
 
 
 </li>
 <li>
 
 Mentor and coach team members on software engineering best practices (OOP, testing, system design)
 
 
 
 </li>
 <li>
 
 Establish technical guardrails and reference architectures for AI development
 
 
 
 </li>
 <li>
 
 Foster a culture of experimentation, knowledge sharing, and evidence-based decision-making
 
 
 
 </li>
 <li>
 
 Contribute to improving documentation and AI/ML knowledge across the organization
 
 
 
 </li>
 </ul>
 
 
 Hands-On Development &amp; Innovation
 
 
 
 
 <ul>
 <li>
 
 Build proof-of-concepts and run technical experiments to validate new approaches
 
 
 
 </li>
 <li>
 
 Contribute to design reviews and key architectural decisions involving AI/ML
 
 
 
 </li>
 <li>
 
 Stay close to delivery teams to ensure solutions are practical and production-ready
 
 
 
 </li>
 <li>
 
 Support the development of AI-powered features such as search, recommendations, and document intelligence
 
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 
 5+ years of experience in Data Science or ML Engineering, with production deployment experience in SaaS environments
 
 
 
 </li>
 <li>
 
 Strong expertise in GenAI architectures (RAG) and LLM orchestration frameworks (e.g., LangChain, LlamaIndex)
 
 
 
 </li>
 <li>
 
 Hands-on experience with vector databases (e.g., Pinecone, Qdrant)
 
 
 
 </li>
 <li>
 
 Expert-level Python skills, with a focus on production-quality code (OOP, testing, logging)
 
 
 
 </li>
 <li>
 
 Experience building APIs using FastAPI or Flask
 
 
 
 </li>
 <li>
 
 Experience with Docker and Kubernetes (AKS) for deploying scalable services
 
 
 
 </li>
 <li>
 
 Strong understanding of system scalability, resilience, and observability in ML pipelines
 
 
 
 </li>
 <li>
 
 Deep knowledge of Microsoft Azure (Azure OpenAI, Azure Machine Learning, Azure DevOps)
 
 
 
 </li>
 <li>
 
 Strong collaboration and communication skills, with the ability to influence technical decisions
 
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 
 Experience fine-tuning open-source LLMs (e.g., Llama 3, Mistral)
 
 
 
 </li>
 <li>
 
 Experience with advanced information extraction (e.g., OCR, document processing)
 
 
 
 </li>
 <li>
 
 Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC
 
 
 
 </li>
 <li>
 
 Background in B2B eCommerce, logistics, or supply chain domains
 
 
 
 </li>
 <li>
 
 Contributions to open-source AI/ML projects or a strong technical portfolio
 
 
 
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 Who we are
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 
 Champions of Our League
 
 &ndash; We deliver lasting success, balancing quick wins and long-term value
 </li>
 <li>
 
 Supercharge Our Customers
 
 &ndash; We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed
 </li>
 <li>
 
 Determined to Grow
 
 &ndash; We embrace challenges, growing and raising the bar for ourselves and our industry
 </li>
 <li>
 
 Bold Together
 
 &ndash; We dare to be bold because we have each other&rsquo;s back
 </li>
 </ul>
 
 Job descriptions can be tough to interpret. Even if you may not tick all the boxes,
 
 we
 
 
 have ambitious plans and we encourage people
 
 who share our vision and look forward to growing with us.
 
 Apply now.
 
 
 
 
</div>

Senior Data Scientist (ML/AI and GenAI)

Al-Raedah for digital transformation

<div>
 
 
 Job Title: AI Engineer
 
 
 
 
 Location:
 
 [Alexandria, San Stefano]
 
 
 
 Employment Type:
 
 Full Time (On-Site).
 
 
 
 Job Categories:
 
 Engineering / Data Science
 
 
 
 Education Level:
 
 Bachelor's Degree
 
 
 
 Experience Needed: 2+
 
 
 
 
 &nbsp;
 
 
 
 
 Job Summary:
 
 
 
 We are looking for &ldquo;AI Engineer&rdquo; to join our team. You will play a key role in building, testing, and deploying AI and machine learning solutions to solve real-world problems and enhance our digital products.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop AI-driven tools for geometry manipulation, parametric modeling, and generative design in construction applications.
 </li>
 <li>
 Design, develop, and deploy machine learning models
 </li>
 <li>
 Analyze datasets, extract insights, and create data-driven AI solutions.
 </li>
 <li>
 Collaborate with cross-functional teams to define AI requirements and integration strategies
 </li>
 <li>
 Implement machine learning algorithms to enhance efficiency, accuracy, and automation in design processes.
 </li>
 <li>
 Work with large-scale construction datasets to build AI models for predictive analysis and automation.
 </li>
 <li>
 Collaborate with software engineers and data teams to understand business requirements and deliver intelligent features.
 </li>
 <li>
 Optimize geometry processing algorithms for real-time and large-scale construction data.
 </li>
 <li>
 Stay up to date with the latest AI research and integrate relevant advancements into projects.
 </li>
 <li>
 Write clean, maintainable code and contribute to technical documentation and code reviews.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in computer science, Artificial Intelligence, Data Science, or related field.
 </li>
 <li>
 experience in AI/ML development.
 </li>
 <li>
 Strong foundation in algorithms, data structures, and statistics.
 </li>
 <li>
 &nbsp;Proficiency in Python and at least one ML framework
 </li>
 <li>
 Experience with model deployment, evaluation, and MLOps fundamentals.
 </li>
 <li>
 Experience with Natural Language Processing (NLP) or Computer Vision.
 </li>
 <li>
 Familiarity with big data technologies and database systems.
 </li>
 <li>
 &nbsp;Exposure to Docker, Kubernetes, or DevOps practices.
 </li>
 </ul>
 
 
 
 
 Kindly send your resume to:
 
 careers@elraida.com
 
 
 
 Email Subject: AI Engineer, Alexandria.
 
</div>

AI Engineer

dubizzle Egypt

<div>
 dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet.
 
 
 As part of dubizzle Group, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 
 
 As a Data Collector, you'll be responsible for accurately gathering business data through street scanning along predefined routes using our survey software. You will do data entry after receiving comprehensive training, ensuring the data is precise and reliable. You will navigate based on a plan and maintain a detailed focus on data collection.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Drive or walk along routes assigned by the Team Leader, covering designated areas thoroughly;
 </li>
 <li>
 Collect specified data on businesses using provided survey software, ensuring accuracy and completeness of information;
 </li>
 <li>
 Enter data into the survey system efficiently and accurately while on the route;
 </li>
 <li>
 Operate and maintain survey equipment and software, with a focus on precision in data capture;
 </li>
 <li>
 Adhere to data collection protocols and guidelines, ensuring data integrity and reliability;
 </li>
 <li>
 Maintain regular communication with the Team Leader to report progress and any issues encountered during data collection;
 </li>
 <li>
 Provide support for the management of the day-to-day operations;
 </li>
 <li>
 Review the collected content for quality and accuracy and make changes as needed;
 </li>
 <li>
 Verify images and data to ensure that records are current and accurate;
 </li>
 <li>
 Assist Team Leaders in the verification of data to ensure the accuracy and validity of collected information;
 </li>
 <li>
 Take clear digital images of the premises;
 </li>
 <li>
 Complete logs and control forms and required documentation as required;
 </li>
 <li>
 Communicate effectively with the public to share the purpose of our visit, inquire about business, address questions, etc;
 </li>
 <li>
 Courteously handle field questions and complaints and escalate to their supervisor as appropriate
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Valid motorcycle driving license
 </li>
 <li>
 1 year of experience in delivery, courier or market scanning;
 </li>
 <li>
 Experience in data collection, delivery, logistics or courier services
 </li>
 <li>
 Proficient in reading, writing and using a mobile or tablet;
 </li>
 <li>
 Excellent navigational abilities and familiarity with local geography;
 </li>
 <li>
 Proficiency in using smartphones and GPS devices; experience with survey software or data entry tools is advantageous
 </li>
 <li>
 Good verbal communication abilities to effectively report data and any issues
 </li>
 <li>
 Strong attention to detail and accuracy in data collection and entry
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A fast paced, high performing team
 </li>
 <li>
 Comprehensive Health Insurance
 </li>
 <li>
 Life Insurance
 </li>
 <li>
 Rewards &amp; Recognitions
 </li>
 <li>
 Learning &amp; Development opportunities
 
 
 
 </li>
 </ul>
 #Egyptdubizzle
</div>

Data Collector - Bike Rider (Alexandria)

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 This role is based in Gurgaon, India.
 
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.
 </li>
 <li>
 Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field
 </li>
 <li>
 8+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Good experience in Pyspark
 </li>
 <li>
 Expert level understanding of Python with design patterns and object-oriented programming.
 </li>
 <li>
 Experience debugging and reasoning about production issues is desirable.
 </li>
 <li>
 A good understanding of data architecture principles preferred.
 </li>
 <li>
 Any other experience with Big Data technologies / tools
 </li>
 <li>
 SQL experience
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience.
 </li>
 <li>
 Systems administration skills in Linux
 </li>
 <li>
 A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Staff Machine Learning Engineer (India based, relocation provided)

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as LightGBM, Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Expert in SQL, Python3, and JVM based programming language &ndash; ie, Java or Scala
 </li>
 <li>
 Expert in software design/design patterns, functional programming and object-oriented programming.
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience. A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems and Big Data architecture and techologies
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 </li>
 <li>
 Systems administration skills in Linux
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)

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