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Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 We are looking for a
 
 Senior Data Engineer
 
 to design, build, and optimize our
 
 Azure and Databricks-based data infrastructure
 
 . You will play a critical role in developing scalable
 
 ETL pipelines, data ingestion frameworks, and
 
 
 contribute to
 
 
 AI/ML-powered solutions
 
 that drive internal decision-making and customer-facing insights.
 
 
 
 
 This is a hands-on role that requires expertise in
 
 Azure Data Services, Databricks, and Python/SQL
 
 . You will work closely with
 
 Data Architects, Engineers, and Product teams
 
 to develop robust data solutions that power
 
 analytics, personalization, and AI-driven customer experiences
 
 .
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Data Pipeline Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 scalable data pipelines
 
 </li>
 <li>
 Develop
 
 real-time and batch data processing
 
 frameworks for structured and unstructured data.
 </li>
 <li>
 Implement
 
 ETL/ELT workflows
 
 to ingest data from various sources, ensuring
 
 high availability and performance
 
 .
 </li>
 <li>
 Optimize
 
 data storage and retrieval
 
 of data in (near) real time and batch processes
 </li>
 <li>
 Ensure
 
 cost-efficient
 
 and
 
 high-performance
 
 data infrastructure that scales with business needs.
 </li>
 </ul>
 
 
 Data Solutions &amp; AI-Driven Applications
 
 
 
 
 <ul>
 <li>
 develop data pipelines for
 
 ML recommenders, search functionality, and AI-enhanced features
 
 .
 </li>
 <li>
 Develop and maintain
 
 data models, APIs, and integrations
 
 to support analytics and customer applications.
 </li>
 <li>
 Support
 
 eCommerce-related data solutions
 
 , including product recommendations, customer segmentation, and personalization models.
 </li>
 </ul>
 
 
 Collaboration &amp; Continuous Improvement
 
 
 
 
 <ul>
 <li>
 Work closely with
 
 Data Architects, Analysts, and Product Teams
 
 to understand data requirements and deliver best-in-class solutions.
 </li>
 <li>
 Monitor and troubleshoot
 
 performance issues
 
 , ensuring high availability and efficiency of data pipelines.
 </li>
 <li>
 Continuously optimize
 
 cost, performance, and scalability
 
 of data engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience as a
 
 Data Engineer
 
 , working with
 
 Azure and Databricks
 
 </li>
 <li>
 Strong expertise in
 
 data pipeline development, ETL workflows, and real-time/batch data processing
 
 .
 </li>
 <li>
 Experience in
 
 big data technologies, and large-scale data storage
 
 .
 </li>
 <li>
 Familiarity with
 
 data governance, security, and compliance best practices
 
 and
 
 tools
 
 </li>
 <li>
 Proficiency in
 
 Python,
 
 
 and
 
 
 SQL,
 
 for data transformation, data quality and automation.
 </li>
 <li>
 Strong experience in
 
 optimizing data performance and cost-efficiency in cloud environments
 
 .
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with
 
 eCommerce data solutions
 
 , such as customer segmentation, recommendation engines, and personalization models.
 </li>
 <li>
 Knowledge of
 
 event-driven architectures, streaming data processing, and real-time analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 LLM-based AI applications and OpenAI
 
 
 or similar
 
 
 APIs
 
 .
 </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>
 
 
 Our values
 
 
 
 
 
 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>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer - Alexandria

Integrant, Inc.

<div>
 
 We're on the lookout for exceptional individuals to join our team as
 
 Principal Data Engineers
 
 . As a part of our team, you'll be driving change and making a significant impact in the gaming industry.
 
 <ul>
 <li>
 Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
 </li>
 <li>
 Engage in collaborative requirement elicitation activities with our valued clientele.
 </li>
 <li>
 Mentor and guide junior team members in the field of data engineering.
 </li>
 <li>
 Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.
 </li>
 
 </ul>
 
 Requirements
 
 
 <ul>
 <li>
 6+ years of experience as a data engineer.
 </li>
 <li>
 Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.
 </li>
 <li>
 Knowledge of Microsoft relational engines available - both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).
 </li>
 <li>
 Knowledge of query and workload optimization.
 </li>
 <li>
 Knowledge of administrating and managing analytical solutions both on premises and on the cloud.
 </li>
 <li>
 Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).
 </li>
 <li>
 Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
 </li>
 <li>
 Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
 </li>
 <li>
 Knowledge of setting up OLAP solutions using SSAS.
 </li>
 <li>
 Familiarity with Azure Data Catalog to manage data lake metadata.
 </li>
 <li>
 Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
 </li>
 <li>
 Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
 </li>
 <li>
 Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).
 </li>
 <li>
 Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).
 </li>
 <li>
 Knowledge of implementing common ETL patterns to support data warehouse workloads.
 </li>
 <li>
 Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.
 </li>
 <li>
 Knowledge of PowerBI.
 </li>
 <li>
 Familiarity with SSRS.
 </li>
 <li>
 
 Snowflake Experience:
 
 Experience with Snowflake is required.
 </li>
 </ul>
 
 Nice to Have:
 
 <ul>
 <li>
 An MSc in Computer Science or other relevant field.
 </li>
 <li>
 Familiarity with Azure Databricks.
 </li>
 <li>
 Familiarity with DataOps
 </li>
 <li>
 Familiarity with Azure Cognitive Services.
 </li>
 <li>
 Familiarity with Azure ML.
 </li>
 <li>
 Familiarity with MLOps.
 </li>
 <li>
 Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
 </li>
 <li>
 Familiarity with Azure HD Insight.
 </li>
 <li>
 Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.
 </li>
 <li>
 Familiarity with Azure Functions to perform lightweight transformations.
 
 </li>
 </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
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Principal Data Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 In this role, you will work closely with business stakeholders, software engineering teams, SAP integration experts, and data engineering teams to design and deliver trusted datasets and analytical solutions that support operational excellence, decision-making, and innovation across the company.
 
 
 We&rsquo;re looking for someone who enjoys understanding complex business processes, translating them into meaningful data products, and helping shape the future of our analytics landscape.
 
 
 If you are curious, collaborative, and passionate about turning data into business value, we&rsquo;d love to hear from you.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 Partner with business stakeholders and subject matter experts to understand analytical needs, identify opportunities, and define requirements for data products and analytical solutions.
 </li>
 <li>
 Translate business requirements into scalable data models, curated datasets, and actionable insights that enable data-driven decision-making.
 </li>
 <li>
 Design, develop, and maintain data products by integrating data from operational systems, backend services, SAP solutions, and other internal and external data sources.
 </li>
 <li>
 Collaborate with software engineering and data engineering teams to ensure reliable integration of data into sonnen&rsquo;s analytics platform and data ecosystem.
 </li>
 <li>
 Contribute to the evolution of our data architecture, data governance, and analytics strategy, helping establish sustainable and scalable data products.
 </li>
 <li>
 Develop and maintain data transformation logic, analytical datasets, and semantic models that support reporting, analytics, and advanced use cases.
 </li>
 <li>
 Implement data quality controls, monitoring mechanisms, and validation processes to ensure data accuracy, consistency, and trustworthiness.
 </li>
 <li>
 Drive continuous improvement of our data products and analytics capabilities by identifying gaps, opportunities, and emerging technologies.
 </li>
 <li>
 Ensure high standards for documentation, maintainability, and software engineering practices using version control and collaborative development workflows.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
 </li>
 <li>
 3+ years of professional experience in Data Engineering, Analytics Engineering, Data Analytics, Data Architecture, or a similar role.
 </li>
 <li>
 Proven ability to work effectively with both business and technical stakeholders and translate business requirements into technical solutions.
 </li>
 <li>
 Experience designing and implementing data models, curated datasets, and analytics-ready data structures.
 </li>
 <li>
 Understanding of modern data architecture concepts, data warehousing, and lakehouse platforms (e.g., AWS Redshift, Databricks).
 </li>
 <li>
 Experience working with structured and unstructured data from multiple operational systems and APIs.
 </li>
 <li>
 Strong knowledge of Python, SQL, REST APIs, and data transformation frameworks.
 </li>
 <li>
 Familiarity with data quality management, governance principles, and monitoring practices.
 </li>
 <li>
 Ability to contribute to strategic discussions around data architecture, data products, and analytics enablement.
 </li>
 <li>
 Experience in cloud-based analytics environments is highly desirable.
 </li>
 <li>
 Fluency in English; German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Computer Science, Cloud, Database, SQL, Technology
</div>

Data Engineer (m/w/d)

Decima International

<div>
 Decima International is a professional services company, providing project management and controls services to clients in the United States and the Middle East. Our mission is to become the premier professional services provider across all industry sectors we are engaged in. To accomplish this, Decima International's founders established a simple yet powerful formula:
 
 
 Approach each client engagement as a
 
 partnership
 
 , create an environment that attracts the
 
 most talented professionals
 
 and allows them to flourish, and regulate
 
 growth
 
 to maintain
 
 excellence
 
 in our service standards.
 
 
 
 Decima International
 
 is a professional services company, providing project management and controls services to clients in the United States and the Middle East. Our mission is to become the premier professional services provider across all industry sectors we are engaged in. To accomplish this, Decima International's founders established a simple yet powerful formula:
 
 
 Approach each client engagement as a partnership, create an environment that attracts the most talented professionals and allows them to flourish, and regulate growth to maintain excellence in our service standards.
 
 
 We are looking for a driven and capable
 
 Mid-Level AI Engineer/Agentic Systems Developer
 
 to support the development of internal technology products. This role will write, configure, test, and maintain a growing library of autonomous AI agents designed to automate complex business workflows.
 
 
 Working under technical and product leadership, the successful candidate will translate functional workflow specifications into individual agents, tool integrations, data connections, and reliable automated processes. The ideal candidate has strong backend development capabilities and practical experience working with large language models, agentic frameworks, APIs, and retrieval-augmented generation pipelines.
 
 
 This is a highly hands-on development role focused on clean code execution, secure systems integration, continuous testing, effective debugging, and rapid iteration.
 
 
 We are looking to bring in dedicated individuals with a passion for innovation and talent for multitasking in a fast-paced environment. We will help you grow, pursue, and fulfill what inspires you so we can make big impacts on the world, together.
 
 
 
 RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Build and configure autonomous agent roles, task nodes, workflows, and conditional edges using frameworks such as LangGraph, CrewAI, and LlamaIndex.
 </li>
 <li>
 Integrate AI agents securely with internal databases and third-party platforms, including Slack, HubSpot, Salesforce, and Google Workspace, through APIs and function calling.
 </li>
 <li>
 Develop and refine retrieval-augmented generation pipelines, including data ingestion, text chunking, embedding generation, and vector database population.
 </li>
 <li>
 Diagnose and resolve agent failures involving context loss, malformed structured or JSON outputs, and incomplete multi-step tasks.
 </li>
 <li>
 Write automated unit tests for custom tools and monitor execution traces to identify and resolve edge-case failures.
 </li>
 <li>
 Maintain clean, reliable, and well-structured code while supporting continuous testing and rapid product iteration.
 
 
 </li>
 </ul>
 
 QUALIFICATIONS
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or related fields.
 </li>
 <li>
 
 2 to 4 years
 
 of professional experience in backend software development.
 </li>
 <li>
 
 At least 1 year
 
 of practical experience working directly with large language model APIs and prompt construction.
 </li>
 <li>
 Strong familiarity with agentic AI frameworks such as LangGraph, CrewAI, or LlamaIndex.
 </li>
 <li>
 Solid understanding of structural prompt design, including generating reliable JSON and other structured outputs.
 </li>
 <li>
 High proficiency in Python, including a practical understanding of asynchronous programming concepts.
 </li>
 <li>
 Experience developing and integrating RESTful APIs using FastAPI, Flask, or similar frameworks.
 </li>
 <li>
 Proficiency in version control and collaborative software development using Git.
 </li>
 <li>
 Working knowledge of relational databases, preferably PostgreSQL.
 </li>
 <li>
 Foundational experience using vector databases or stores such as Chroma or Pinecone for data retrieval.
 </li>
 <li>
 Experience integrating software applications with databases, APIs, and third-party platforms.
 </li>
 <li>
 Strong debugging, analytical, testing, documentation, and problem-solving skills.
 </li>
 <li>
 Ability to translate functional workflow requirements into reliable technical implementations.
 </li>
 <li>
 Ability to work independently, manage development priorities, and iterate quickly in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience developing autonomous agents or multi-agent workflows for practical business use cases.
 </li>
 <li>
 Experience implementing retrieval-augmented generation applications and data-ingestion pipelines.
 </li>
 <li>
 Experience with secure function calling and integrations involving business platforms such as Slack, HubSpot, Salesforce, or Google Workspace.
 </li>
 <li>
 Experience testing, tracing, and monitoring multi-step AI workflows in development or production environments.
 </li>
 <li>
 Familiarity with prompt evaluation, structured-output validation, and common large language model failure patterns.
 </li>
 <li>
 Experience contributing to the development of internal technology products or workflow-automation solutions.
 
 
 </li>
 </ul>
 
 POSITION DETAILS
 
 
 
 <ul>
 <li>
 
 Primary Location (Office-based):
 
 Heliopolis, Cairo, Egypt
 </li>
 <li>
 
 Position:
 
 Mid-Level AI Engineer/Agentic Systems Developer
 </li>
 <li>
 
 Position Classification:
 
 Salary-based full-time hours
 
 
 </li>
 </ul>
 
 PRODUCTIVITY TOOLS
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 LangGraph
 </li>
 <li>
 CrewAI
 </li>
 <li>
 LlamaIndex
 </li>
 <li>
 FastAPI
 </li>
 <li>
 Flask
 </li>
 <li>
 Git
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 Chroma
 </li>
 <li>
 Pinecone
 </li>
 <li>
 Microsoft Office
 </li>
 <li>
 Microsoft 365
 
 
 </li>
 </ul>
 Decima International is an Equal Opportunity Employer that is committed to the safety and well-being of all. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law.
</div>

Mid-Level AI Engineer/Agentic Systems Developer (On-site) - Cairo, Egypt

Unifonic

<div>
 
 Job Description
 
 
 
 Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
 
 
 We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
 
 
 
 Meet the team!
 
 
 
 Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
 
 
 As a Senior Machine Learning (AI) Engineer, you will be responsible for designing, developing, and deploying advanced machine learning solutions across various domains, including NLP, Text Classification, RAG, LLMs, Recommender engines, and Anomaly detection. This role involves end-to-end project ownership, from data preprocessing to the creation of service APIs, and offers opportunities to work on cutting-edge AI technologies.
 
 
 
 Help Us Shape The Future Of Communication By
 
 
 
 <ul>
 <li>
 Leading the end-to-end design, development, and deployment of robust and scalable machine learning solutions, with a strong emphasis on NLP and RAG architectures.
 </li>
 <li>
 Architecting and implementing RAG systems, combining large language models (LLMs) with robust retrieval mechanisms to improve the accuracy, factual grounding, and interpretability of generated content.
 </li>
 <li>
 Applying advanced NLP techniques for tasks such as text classification, entity recognition, sentiment analysis, summarization, question answering, and information extraction.
 </li>
 <li>
 Researching, evaluating, and integrating state-of-the-art NLP models and RAG frameworks (e.g., Transformers, BERT, GPT variants, Vector Databases, Semantic Search).
 </li>
 <li>
 Mentoring junior team members on the team, sharing knowledge, and advising the best machine learning and software engineering practices and approaches.
 </li>
 <li>
 Establishing and maintaining robust communication channels with other cross-functional teams to facilitate the integration of machine learning solutions into other Unifonic products.
 </li>
 <li>
 Developing and optimizing highly confident machine learning algorithms and models and creating/exposing the service APIs using frameworks such as Flask, FastAPIs, or other relevant frameworks.
 </li>
 <li>
 Staying up to date with the latest machine learning research papers, and AI trends (i.e. Generative AI).
 </li>
 <li>
 Collaborating with the data engineering team and other teams to collect and analyze extensive datasets, extracting insights and patterns, in real-time, near-real-time, or batch processing mode.
 </li>
 <li>
 Implementing proof of concepts and prototypes to demonstrate the potential of new AI use cases and innovations.
 </li>
 <li>
 Building scalable, maintainable machine learning services, which should handle thousands of requests per second, and help to perform the required load tests to meet the SLA.
 </li>
 <li>
 Reviewing the code of other team members and suggesting improvements to ensure the SOLID principles and clean architecture.
 </li>
 <li>
 Assisting in the project documentation and demos.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 
 What you'll bring:
 
 
 
 <ul>
 <li>
 Proven experience designing and implementing RAG systems, including familiarity with various retrieval strategies (e.g., BM25, dense retrieval, hybrid approaches) and knowledge graph integration.
 </li>
 <li>
 Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar tools for building and managing autonomous agents.
 </li>
 <li>
 Deep expertise in various NLP techniques and models, including but not limited to:
 
 
 </li>
 </ul>
 Transformer architectures (e.g., BERT, GPT, T5, LLama, Mistral)
 
 
 Large Language Models (LLMs) and their fine-tuning/adaptation
 
 
 Vector embeddings and similarity search
 
 
 Text classification, named entity recognition (NER), sentiment analysis, summarization, and question answering.
 
 
 <ul>
 <li>
 Hands-on 3-5 years of relevant work experience as a Machine Learning Engineer.
 </li>
 <li>
 Hands-on 3+ years of experience with Python.
 </li>
 <li>
 Excellent analytical abilities, with the capacity to collect, organize, and analyze large datasets to glean valuable insights.
 </li>
 <li>
 End-to-end experience in training, evaluating, testing, and deploying machine learning products in production.
 </li>
 <li>
 Ability to write world-class code in Python (SOLID principles), considering the best software engineering fundamentals, i.e. data structures, algorithms, and data modeling
 </li>
 <li>
 Solid experience in ML frameworks such as NumPy, Pandas, Scikit-Learn, PyTorch, Keras, BERT, Tensorflow, and similar.
 </li>
 <li>
 Familiarity with MLOps best practices, e.g. Model deployment and reproducible research.
 </li>
 <li>
 Mastering data science needed skills like SQL, hypothesis testing, Data cleansing, data augmentation, data pre-processing techniques, and dimensionality reduction.
 </li>
 <li>
 Basic knowledge of Kubernetes and Docker is nice to have.
 </li>
 <li>
 Excellent understanding of Machine learning techniques like Naive Bayes classifiers, SVM, Decision Tree, KNN, K-means, Random Forest, modeling and optimization, evaluation metrics, classification, and clustering.
 </li>
 <li>
 Experience with the Hugging Face libraries (i.e. transformers).
 </li>
 <li>
 Experience fine-tuning pre-trained models and using vector search to enhance LLMs results.
 </li>
 <li>
 Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques.
 </li>
 <li>
 Familiar with code versioning tools such as GIT, CI/CD concepts, and toolchains.
 </li>
 <li>
 Familiar with Agile methodologies i.e. scrum and kanban.
 </li>
 <li>
 Ability to develop high-level architecture and low-level design, End-to-end for a specific project.
 </li>
 <li>
 Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is a plus.
 </li>
 <li>
 Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques is nice to have.
 </li>
 <li>
 Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is nice to have.
 </li>
 <li>
 General knowledge of Data warehouse tools e.g. Vertica is a plus.
 </li>
 <li>
 A Bachelor&rsquo;s degree in a relevant field. (e.g. Computer Science, Computer Engineering, Software, etc).
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Good level of spoken and written Arabic and English.
 
 
 </li>
 </ul>
 
 As a Unifone you will receive a range of benefits:
 
 
 
 <ul>
 <li>
 Competitive salary and bonus.
 </li>
 <li>
 Unifonic share scheme (we are all owners!).
 </li>
 <li>
 30 holiday days after the first anniversary.
 </li>
 <li>
 Your Birthday off!
 </li>
 <li>
 Spend up to 25 days per year working from anywhere in the world!
 </li>
 <li>
 Paid leave for new parents.
 </li>
 </ul>
</div>

Senior Machine Learning Engineer

Deloitte

<div>
 
 Deloitte Innovation Hub I Senior Cloud Engineer, Site Reliability Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity
 
 
 
 You will be involved with enhancing our engineering strategy within Cloud &amp; Engineering and be a key figure in maintaining DevOps excellence throughout Cloud Native &amp; App Development. In addition, you will be a technical and inspirational leader who builds motivated, inclusive teams &ndash; there are no limits for your creativity and vision.
 
 
 We will encourage you to engage with the tech community - both internally and externally, to become a subject matter expert and help shape our opinions on modern technologies and spearhead best practice development.
 
 
 Our Cloud Engineering team focuses on enabling our client&rsquo;s end-to-end journey from On-Premise to Cloud, with opportunities in the areas of: Cloud Strategy, Cloud Development, Cloud Integration &amp; APIs, Cloud Migration, Cloud Infrastructure &amp; Engineering, and Cloud Managed Services. We help our clients see the transformational capabilities of Cloud as an opportunity for business enablement and competitive advantage.
 
 
 Cloud Engineering supports our clients as they improve agility and resilience, and identifies opportunities to reduce IT operations spend through automation by enabling Cloud. We accelerate our clients towards a technology-driven future, leveraging vendor solutions and Deloitte-developed software products, tools, and accelerators.
 
 
 
 As a Cloud Engineer You Will
 
 
 
 <ul>
 <li>
 Work with a team to realize the ultimate solution for infrastructure and network configuration/automation and deployment for AWS/GCP/Azure
 </li>
 <li>
 Build and innovate to replace large-scale manual operating processes with scripts and applications
 </li>
 <li>
 Contribute to build and deploy automation support (CI/CD) in AWS/GCP/Azure
 </li>
 <li>
 Develop infrastructure as code and testable infrastructure in AWS/GCP/Azure
 </li>
 <li>
 Develop appropriate metrics to demonstrate performance and operational efficiency by also thinking on how to script and automate better (value) chain monitoring and (chain) testing
 </li>
 <li>
 Driving analysis, design and development of automation tools for configuration, provisioning, deployment, development, and operational tasks
 </li>
 <li>
 Work cross-functionally with various App DevOps teams to test and drive amazing results in an international context
 </li>
 <li>
 Design automated systems management solutions with self-repair/healing as the goal
 </li>
 <li>
 Focus on reducing technical lead time for infra and network for all DevOps teams
 </li>
 <li>
 Provide huge positive customer impact by reducing downtime and costs
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelors or higher in computer science, electrical engineering, or equivalent.
 </li>
 <li>
 Strong and Hands-on Experience with Infrastructure-as-Code (Terraform, CloudFormation), JSON templates and creating IAC scripts
 </li>
 <li>
 Strong and Hands-on Experience with Puppet and scripting tools like Bash and Powershell
 </li>
 <li>
 Expertise in Linux and Windows Servers and Databases
 </li>
 <li>
 Expertise in AWS/GCP/Azure (traditional and cloud networking concepts + monitoring &amp; logging concepts)
 </li>
 <li>
 Security (working in enterprise production environments) and first-time-right mindset
 </li>
 <li>
 Hands-on Experience using configuration management software like Ansible (preferred)
 </li>
 <li>
 Experience with CI tools such as Bamboo and Jenkins (preferred)
 </li>
 <li>
 Experience with Build Tools such as Ant, Maven, and Gradle (preferred)
 </li>
 <li>
 Good understanding of build pipeline, packaging, and artifact management.
 </li>
 <li>
 Automation background working with the CI/CD tool chain comprising of JIRA, Github, Jenkins, Bamboo, Confluence, Packer, CloudFormation, Terraform , Docker, SonarQube
 </li>
 <li>
 Proficient level in programming and scripting languages such as Python and/or Ruby
 </li>
 <li>
 Have containerized the deployments through Docker containers and orchestrated through Kubernetes
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience
 
 
 
 As an engineer with a strong base of software engineering or IT Ops experience, it will be your job to build and operate technical platforms and systems that underpin some of our most exciting client projects.
 
 
 This role touches upon a variety of aspects of Platform and Site Reliability Engineering, such as infrastructure &amp; environment management and build, continuous delivery and deployment and code governance.
 
 
 We are looking for individuals who can embed themselves with developers, business analysts and test managers; ensuring that systems are built in a way that makes them fast, maintainable and able to handle frequent incremental change.
 
 
 
 What You Must Have
 
 
 
 <ul>
 <li>
 3+ years experience with cloud hyperscalers, such as GCP, AWS or Azure.
 </li>
 <li>
 Experience in cloud implementation such as application development and infrastructure as code (Terraform, AWS SAM, CloudFormation)
 </li>
 <li>
 Confident with key DevOps practices - CICD, IaaS, Containerisation and Deployment pipelines
 </li>
 <li>
 Provide expertise in one or more of the following areas: SysAdmin, IaaS, Full Stack development, virtualisation/containerisation, environments and configuration management
 </li>
 <li>
 Experience with python/Bash/Go scripting
 </li>
 <li>
 Understand the importance of Observability and have built systems to focus on early insight into issues using monitoring and alerting
 </li>
 <li>
 Pioneer DevOps/SRE best practices with a curious mind and an ability to mentor junior employees
 </li>
 <li>
 Able to design and build frameworks or toolsets to be reused by the wider engineering community
 </li>
 <li>
 Extensive experience and expertise across the Splunk platform, its architecture and distributed components including premium apps (ITSI, Enterprise Security, Phantom, etc&hellip;)
 </li>
 <li>
 Experience with data streaming technologies
 </li>
 <li>
 Experience of agile methodologies and associated toolsets and code repositories
 </li>
 <li>
 Strong collaboration and stakeholder engagement skills
 </li>
 <li>
 Self-motivated and organised person
 </li>
 <li>
 High level of attention to detail, the ability to think architecturally at &lsquo;big picture&rsquo; and able to translate this into practical implementation
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Cloud certified with experience
 </li>
 <li>
 Required strong technical skills and demonstrated experience in each of the following areas:
 </li>
 <li>
 Excellent communication (written and oral) and interpersonal skills
 </li>
 <li>
 Deliver right solution architecture, automation and technology choices starting from experimentation and proof of concept phases of new analytical models
 </li>
 <li>
 Demonstrated teamwork and collaboration in a professional setting
 </li>
 <li>
 Flexible and willingness to work on different projects and programming
 
 
 </li>
 </ul>
 
 What We Would Like You To Have
 
 
 
 <ul>
 <li>
 Coordinate the work of a small team of junior engineers, or the build of a sizable application or tooling component
 
 
 </li>
 </ul>
 
 Qualities We Are Looking For
 
 
 
 You&rsquo;re a natural at taking initiative: Someone who brings out the best in others and is a brilliant listener. You will help to grow our engineering practice without compromising standards, integrity or culture. You enjoy the ever-changing landscape of technology and love to keep on top of changes and improvements.
 
 
 You&rsquo;re great at communicating ideas: Someone who can clearly communicate their thoughts and ideas over any medium, adapting technical content to match their audience.
 
 
 You enjoy mentoring others: Someone who is open to paying their skills forward, building up our junior talent and supporting other brilliant engineers.
 
 
 
 Connect to your service line - Consulting
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Connect with your colleagues
 
 
 
 Location: Cairo, Egypt
 
 
 Hybrid working model . We trust you to make the right choices around where, when, and how you work. You&rsquo;ll be able to make decisions about how you work best, to be collaborative, learn from colleagues, share your experiences, build the relationships that will fuel your career and prioritize your wellbeing. Having great conversations with your team and your leadership paves the way for great collaborative ways of working.
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. We strive to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective and personality. We nurture a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub | Senior Cloud Engineer, Site Reliability Engineer, Cairo, Egypt

Finaira

<div>
 
 The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 
 
 
 
 
 
 
 
 
 The difference you will make
 
 
 <ul>
 <li>
 Define the technical data science strategy and roadmap
 </li>
 <li>
 Lead the research and development of cutting-edge AI solutions
 </li>
 <li>
 Evaluate and implement new data science technologies and platforms
 </li>
 <li>
 Provide technical leadership and guidance to the data science team
 </li>
 <li>
 Ensure the scalability and reliability of data science infrastructure
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 
 
 Education:
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.
 </li>
 <li>
 Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
 </li>
 <li>
 Proven experience in leading and mentoring data science teams.
 </li>
 <li>
 A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions).
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.
 </li>
 <li>
 Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.
 </li>
 <li>
 Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.
 </li>
 <li>
 Deep understanding of Data and AI governance frameworks and requirements.
 </li>
 <li>
 Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
 </li>
 <li>
 Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.
 </li>
 <li>
 Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
 </li>
 <li>
 Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
 </li>
 <li>
 Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
 </li>
 <li>
 Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
 
 
 
 
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
 
</div>

Principal Data Scientist

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