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software application engineer, light

software engineer

snr applied scientist

Microsoft

<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

Alignerr

<div>
 
 Natural Resource Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Compensation: $30-55 /hour
 </li>
 <li>
 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review conservation science questions and scenarios used in AI training.
 </li>
 <li>
 Evaluate the scientific accuracy of content related to land use, ecosystems, soil, water, and biodiversity.
 </li>
 <li>
 Assess whether AI-generated recommendations reflect real-world conservation practices.
 </li>
 <li>
 Provide structured feedback to improve scientific reasoning and outputs.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of professional experience in natural resource conservation or environmental science.
 </li>
 <li>
 Strong understanding of ecosystems, land management, and conservation principles.
 </li>
 <li>
 Able to clearly evaluate scientific reasoning and applied recommendations.
 </li>
 <li>
 Comfortable reviewing structured written content and providing detailed feedback.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Natural Resources, Environmental Science, or related field.
 </li>
 <li>
 Fieldwork or applied conservation experience.
 </li>
 <li>
 Familiarity with AI or content evaluation workflows.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Natural Resource Conservation Scientist

<div>
 
 Wildlife and Habitat Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking wildlife and habitat conservation scientists to help evaluate AI systems trained on biodiversity protection and ecosystem management.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Compensation: $30-55 /hour
 </li>
 <li>
 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review wildlife and habitat conservation scenarios used in AI training.
 </li>
 <li>
 Assess accuracy of ecological reasoning and conservation strategies.
 </li>
 <li>
 Identify unrealistic assumptions or misapplied conservation methods.
 </li>
 <li>
 Provide structured feedback to improve ecological validity.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience in wildlife biology, ecology, or habitat conservation.
 </li>
 <li>
 Strong understanding of biodiversity and ecosystem management.
 </li>
 <li>
 Able to evaluate applied ecological reasoning in written form.
 </li>
 <li>
 Comfortable reviewing structured scientific content.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Ecology, Wildlife Biology, or related field.
 </li>
 <li>
 Field research or conservation program experience.
 </li>
 <li>
 Familiarity with AI or content evaluation workflows.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Wildlife and Habitat Conservation Scientist

NorthBay Solutions

<div>
 
 Senior Data Scientist &ndash; GenAI
 
 
 
 Experience:
 
 5&ndash;7 Years
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 Employment Type:
 
 Full-Time
 
 
 About the Role
 
 
 NorthBay Solutions is seeking a
 
 Senior Data Scientist
 
 with strong expertise in
 
 GenAI and AI/ML
 
 . The candidate will build, fine-tune, and deploy AI/ML models, integrate them with enterprise systems, and support AI initiatives on cloud and hybrid infrastructures.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Build, fine-tune, and deploy
 
 Large Language Models (LLMs)
 
 including LLAMA, Mistral, and GPT
 </li>
 <li>
 Implement
 
 Agentic AI
 
 , multi-agent systems, and RAG workflows
 </li>
 <li>
 Design, develop, and deploy
 
 AI/ML models
 
 integrated with enterprise systems
 </li>
 <li>
 Work with
 
 vector databases
 
 , LangChain, Langraph, and other GenAI toolchains
 </li>
 <li>
 Apply
 
 advanced prompt engineering
 
 and Chain-of-Thought techniques
 </li>
 <li>
 Deploy AI/ML models on
 
 cloud platforms
 
 (AWS, Azure, GCP) and maintain production pipelines
 </li>
 <li>
 Contribute to
 
 CI/CD pipelines
 
 and
 
 DevOps practices
 
 for AI/ML solutions
 </li>
 </ul>
 
 Technical Requirements
 
 <ul>
 <li>
 
 GenAI &amp; AI/ML Skills:
 
 2&ndash;3 years hands-on experience with LLMs and GenAI applications
 </li>
 <li>
 
 Programming &amp; ML Frameworks:
 
 Proficient in Python, TensorFlow, PyTorch
 </li>
 <li>
 
 Data &amp; Database Skills:
 
 SQL (PostgreSQL/MySQL) and NoSQL (MongoDB)
 </li>
 <li>
 
 API &amp; Integration:
 
 Experience with RESTful APIs, microservices, and model integration
 </li>
 <li>
 
 Cloud &amp; Deployment:
 
 Hands-on experience with AWS SageMaker, Lambda, Azure ML, or equivalent
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Cloud certifications (AWS, Azure, or GCP)
 </li>
 <li>
 Agile/Scrum experience
 </li>
 <li>
 Strong communication skills to bridge technical and business stakeholders
 </li>
 </ul>
</div>

Senior Data Scientist – GenAI

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning &amp; NLP Development
 
 
 <ul>
 <li>
 Design and develop end-to-end machine learning models, with a strong focus on NLP applications
 </li>
 <li>
 Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases
 </li>
 <li>
 Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions
 </li>
 <li>
 Develop and optimize transformer-based models for summarization, Q&amp;A, and document intelligence tasks
 </li>
 <li>
 Evaluate and optimize prompt engineering strategies and context efficiency
 </li>
 </ul>
 
 
 
 
 
 Data
 
 
 Engineering
 
 &amp; Pipelines
 
 <ul>
 <li>
 Develop data pipelines using tools such as Airflow, Spark, or Dataiku
 </li>
 <li>
 Perform data wrangling and preprocessing using pandas and NumPy
 </li>
 <li>
 Design and manage feature stores
 </li>
 <li>
 Integrate and manage vector databases such as Pinecone, FAISS, or Chroma
 </li>
 </ul>
 
 
 
 
 
 Model Deployment &amp; Production
 
 
 <ul>
 <li>
 Build and maintain RESTful APIs for serving ML models in production
 </li>
 <li>
 Deploy scalable AI services and manage CI/CD pipelines
 </li>
 <li>
 Monitor model performance, drift detection, and lifecycle management
 </li>
 <li>
 Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME
 </li>
 </ul>
 
 
 
 
 
 Statistical &amp; Analytical Expertise
 
 
 <ul>
 <li>
 Apply advanced statistics, probability theory, and experimental design
 </li>
 <li>
 Conduct hypothesis testing and data-driven analysis to support business decisions
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Integration
 
 
 <ul>
 <li>
 Work closely with product and engineering teams to embed AI solutions into production systems
 </li>
 <li>
 Collaborate with cross-functional stakeholders to deliver scalable AI capabilities
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or related field
 </li>
 <li>
 Minimum 4 years of experience in machine learning and data science roles
 </li>
 <li>
 Proven track record of delivering production-grade ML and NLP projects
 </li>
 <li>
 Experience leading small data science teams or technical workstreams
 </li>
 </ul>
 
 
 
 
 
 Technical Requirements
 
 
 <ul>
 <li>
 Strong programming skills in Python and R
 </li>
 <li>
 Proficiency in ML libraries including Scikit-learn, pandas, and NumPy
 </li>
 <li>
 Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers
 </li>
 <li>
 Strong expertise in transformer architectures and LLM fine-tuning
 </li>
 <li>
 Experience using LangChain or LlamaIndex for orchestration
 </li>
 <li>
 Experience deploying ML models via RESTful APIs
 </li>
 <li>
 Knowledge of model monitoring, explainability, and performance optimization
 </li>
 </ul>
 
 
 
 
 
 Leadership and Soft Skills
 
 
 <ul>
 <li>
 Ability to lead small teams or project workstreams
 </li>
 <li>
 Strong ownership mindset with focus on quality and delivery timelines
 </li>
 <li>
 Ensures alignment of technical work with business KPIs
 </li>
 <li>
 Coaches and mentors mid-level team members
 </li>
 <li>
 Strong problem-solving and collaboration skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits &amp; Work Setup
 
 
 <ul>
 <li>
 Basic salary
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Family Medical Insurance (AXA)
 </li>
 <li>
 
 Location:
 
 New Cairo
 </li>
 <li>
 
 Work Model:
 
 Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.
 </li>
 <li>
 
 Working Hours:
 
 9 AM to 6 PM
 </li>
 <li>
 
 Days Off:
 
 Fridays and Saturday
 </li>
 </ul>
</div>

Senior Data Scientist

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Explore 38+ Snr applied scientist in Cairo this March. Find roles across top companies and apply now to boost your career.

38 snr applied scientist jobs In Cairo

Snr Applied Scientist

Natural Resource Conservation Scientist

Wildlife and Habitat Conservation Scientist

Senior Data Scientist – GenAI

Data Scientist / Senior Machine Learning Engineer

Senior Data Scientist

Senior Data Scientist