data analytics - sr. software engineer with ai background - cairo

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senior machine learning engineer

data analytics - sr. software engineer with ai background - cairo Jobs in Cairo

senior data scientist

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

Systems Limited - Egypt

<div>
 
 
 About the Role:
 
 
 
 We are seeking a highly skilled
 
 Technical Product Owner
 
 with deep expertise in
 
 Data &amp; AI
 
 to lead the development of innovative data-driven products and AI solutions. You will bridge the gap between business stakeholders and engineering teams, ensuring that our data initiatives align with strategic objectives and deliver measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Act as the
 
 Product Owner
 
 for Data &amp; AI initiatives, managing the
 
 product backlog
 
 , prioritizing features, and defining user stories.
 </li>
 <li>
 Collaborate closely with
 
 Data Engineers, Data Scientists, and AI teams
 
 to translate business requirements into technical solutions.
 </li>
 <li>
 Drive the
 
 end-to-end lifecycle
 
 of AI/ML and data products, from ideation and requirements gathering to deployment and monitoring.
 </li>
 <li>
 Ensure alignment of data strategies with
 
 business objectives
 
 , including analytics, predictive modeling, and AI use cases.
 </li>
 <li>
 Define
 
 technical product roadmaps
 
 and drive adoption of best practices in data architecture, governance, and AI deployment.
 </li>
 <li>
 Collaborate with
 
 stakeholders
 
 to understand their needs and translate them into actionable features.
 </li>
 <li>
 Measure product performance using relevant KPIs and iterate on features for continuous improvement.
 </li>
 <li>
 Stay abreast of the
 
 latest trends in AI, machine learning, and data technologies
 
 , evaluating opportunities for innovation.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Data Science, AI, Engineering, or related field
 
 .
 </li>
 <li>
 3_4 Proven experience as a
 
 Technical Product Owner
 
 in
 
 data-intensive or AI-focused projects
 
 .
 </li>
 <li>
 Strong understanding of
 
 data engineering, AI/ML models, data pipelines, cloud data platforms (AWS, Azure, GCP)
 
 .
 </li>
 <li>
 Experience with
 
 analytics, AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), and data visualization tools
 
 .
 </li>
 <li>
 Solid knowledge of
 
 agile methodologies
 
 , backlog management, and working with cross-functional teams.
 </li>
 <li>
 Excellent
 
 communication skills
 
 to bridge technical and business conversations.
 </li>
 <li>
 Strong problem-solving skills and the ability to make
 
 data-driven product decisions.
 
 </li>
 </ul>
 
 
 
</div>

Technical Product Owner – Data & AI

OneCard

<div>
 
 We are looking for an experienced and enthusiastic Senior DevOps Engineer. As our new Senior DevOps Engineer, you will be incharge of the specification and documentation of the new project features. In addition, you will be developing new features and writing scripts for automation using Python/Java/Bash.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 <ul>
 <li>
 Utilize various open source technologies
 </li>
 <li>
 Use various tools to orchestrate solutions
 </li>
 <li>
 Build independent web based tools, microservices and solutions
 </li>
 <li>
 Write scripts and automation using Python/Java/Bash
 </li>
 <li>
 Configure andmanage data sources like MySQL, Elasticsearch,Redis , etc
 </li>
 <li>
 Understand how various systems work
 </li>
 <li>
 Understand how IT operations are managed
 </li>
 <li>
 Manage kubernetes based environment in a production high availability setup
 </li>
 <li>
 Manage source control including SVN and GIT
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s Degreeor MS in Engineering or equivalent
 
 
 &bull; 6+ years of experience in managing Linux based infrastructure
 
 
 &bull; 6+ years of hands-on experience at least in one scripting language
 
 
 &bull; 6+ years of hands-on experience with databases including MySQL, Elasticsearch , Redis
 
 
 &bull; Knowledge of Java/JVM basedlanguages
 
 
 &bull; hands-on experience with managing cloud providers AWS , GCP , huaweicloud
 
 
 &bull; hands-on experience with managing docker , kubernetes based environment
 
 
 &bull; hands-on experience with implementing and managing CICD pipeline tools teamcity /jenkins
 
 
 &bull; Ansible and terraform knowledge is a huge plus
 
 
 &bull; Sense of ownership and pride in your performance and its impact on company&rsquo;s success
 
 
 &bull; Critical thinker and problem-solving skills
 
 
 &bull; Team player
 
 
 &bull; Good time-management skills
 
 
 &bull; Interpersonal and communication skills
 
 
 
</div>

Senior DevOps Engineer

Valleysoft | Center of Excellence

<div>
 Valleysoft is a regional IT services provider delivering enterprise technology and business process solutions for clients globally. Working across the Information Technology and Services sector, the company supports organizations with the systems, platforms, and data capabilities they need to operate effectively and make better decisions.
 
 
 In this role, you will help shape enterprise data architecture for complex client environments, supporting the design of scalable information assets, stronger governance practices, and more effective use of data across the business. The position plays a central part in connecting architecture, analytics, and operational data needs while partnering closely with technical teams and business stakeholders.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build the bank enterprise architecture tool and maintain enterprise architecture artifacts
 </li>
 <li>
 Maintain and develop data collection, storage, and transfer systems used by the project team
 </li>
 <li>
 Support the development of advanced data analytics products
 </li>
 <li>
 Define data architecture and select data collection, storage, and analysis technologies
 </li>
 <li>
 Monitor data availability, completeness, and quality, including the integration of internal and external data sources and the use of analytical tools
 </li>
 <li>
 Manage and approve the list of Critical Data Elements (CDEs), including guiding domains on prioritization
 </li>
 <li>
 Lead business and technical metadata management activities
 </li>
 <li>
 Establish, monitor, and enforce business processes and standards for metadata management and compliance
 </li>
 <li>
 Provide technical support to IT teams on data architecture, logical data models, and data strategy across the bank's systems and applications
 </li>
 <li>
 Define and maintain logical data models and information assets
 </li>
 <li>
 Provide templates for structuring business metadata, including business definitions, security and access levels, and data quality rules, as well as technical metadata such as physical data elements and data lineage
 </li>
 <li>
 Approve changes to metadata and manage new metadata demand
 </li>
 <li>
 Approve business definitions and data lineage developed by domains
 </li>
 <li>
 Define metadata standards and ensure compliance
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Bachelor's degree in Computer Science, Engineering, or Mathematics.
 
 
 Eligible to work in Egypt.
 
 
 Expertise in database systems, including SQL and NoSQL databases such as MongoDB or Cassandra.
 
 
 Strong knowledge of data warehousing solutions such as Snowflake or Amazon Redshift.
 
 
 Experience with data modeling, data architecture design, and schema development.
 
 
 Proficiency in ETL/ELT tools and processes.
 
 
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 
 
 Knowledge of big data technologies, including Hadoop or Spark.
 
 
 
 Experience
 
 
 
 Minimum of 3 years of experience designing and developing complex, high-quality analytical solutions.
 
 
 3+ years of experience in data platform implementation and data architecture.
 
 
 7+ years of experience in technical and IT roles.
 
 
 Proven experience designing and implementing data architectures.
 
 
 Experience working with data governance, data quality, and data security.
 
 
 Past experience involving data strategy, data integration, and data infrastructure development.
 
 
 Experience working with business domain owners, enterprise architecture teams, IT leadership, and senior banking stakeholders.
 
 
 
 Soft Skills
 
 
 
 Strong analytical and problem-solving skills.
 
 
 Ability to communicate complex data concepts to non-technical stakeholders.
 
 
 Leadership and project management capabilities.
 
 
 Background in banking or financial services is preferred.
 
 
 Familiarity with metadata governance and data lineage is a plus.
 
 
 Familiarity with enterprise architecture tooling is a plus.
 
 
 TOGAF certification or a similar enterprise architecture certification is preferred.
</div>

Data Architect

<div>
 
 
 Job Summary
 
 
 
 We are looking for a
 
 Senior .NET Developer
 
 with experience in
 
 Telecom systems
 
 to design and develop secure, scalable, and high-performance backend services for financial applications.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain backend services using
 
 C#, .NET Core, ASP.NET Core
 
 </li>
 <li>
 Build and integrate
 
 RESTful APIs and microservices
 
 </li>
 <li>
 Ensure
 
 data security, integrity, and compliance
 
 </li>
 <li>
 Design and optimize
 
 database structures and queries
 
 </li>
 <li>
 Participate in
 
 code reviews and mentor junior developers
 
 </li>
 <li>
 Troubleshoot production issues and improve system performance
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 
 4+ years
 
 of software development experience
 </li>
 <li>
 Strong experience in
 
 C#, .NET / .NET Core / ASP.NET Core
 
 </li>
 <li>
 Knowledge of
 
 SQL Server / PostgreSQL
 
 </li>
 <li>
 Experience with
 
 Entity Framework or Dapper
 
 </li>
 <li>
 Understanding of
 
 Microservices architecture and API security
 
 </li>
 <li>
 Familiarity with
 
 CI/CD and DevOps practices
 
 </li>
 </ul>
 
 
 Preferred
 
 
 <ul>
 <li>
 Experience with
 
 Azure / AWS
 
 </li>
 <li>
 Knowledge of
 
 Kafka or RabbitMQ
 
 </li>
 <li>
 Experience with
 
 Docker / Kubernetes
 
 </li>
 <li>
 Familiarity with
 
 PCI-DSS or ISO 27001
 
 standards
 </li>
 </ul>
 
 
 Education
 
 
 
 Bachelor&rsquo;s degree in computer science
 
 , Engineering, or related field
 
 .
 
</div>

Dotnet Developer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

talabat

<div>
 Talabat is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 We&rsquo;re looking for an
 
 Assistant Manager
 
 
 Demand Planning
 
 to join the team and focus on growing our own Grocery Store &ldquo;tMart&rdquo;, which is the region&rsquo;s first cloud store concept offering 30-minute delivery of groceries at hypermarket prices. The service has expanded rapidly across Kuwait, UAE, Qatar, Jordan, Bahrain, Egypt, Oman and Iraq!
 
 
 This role requires you to organise the forecasting demand of supplies to stores, create POs for replenishment and maintaining availability in the stores, with a team of demand planners to manage Back Office data.
 
 
 <ul>
 <li>
 Organize the transition to 3PL, manage relations, and secure Talabat with Egypt best practices.
 </li>
 <li>
 Be accountable for the overall demand planning/replenishment of Tmart stores and warehouses in Egypt and the performance of the direct reports
 </li>
 <li>
 Manage stock amounting to AED 20M while ensuring the issuance of ~ 8,000 POs weekly for stores and DC
 </li>
 <li>
 Ensuring timely and accurate analysis and reporting of inventory and purchase forecasts
 </li>
 <li>
 Provides DP/ replenishment insights and plans/ initiatives to keep availability at par with the management's business plan, accountable for the holding stock value, supplier service level. Aging stock optimization
 </li>
 <li>
 Be able to provide solutions and initiatives to solve problems with stocks in the warehouse and stores
 </li>
 <li>
 Guidance to store supervisors and admins to ensure smooth workflow
 </li>
 <li>
 Guide the commercial and operations pro-actively to ensure supplies and suppliers are not affected.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Strong knowledge of the fundamentals of demand planning, as well as the ability to work on demand forecasting from A-Z
 </li>
 <li>
 Experience in FMCG in demand planning and replenishment is a must
 </li>
 <li>
 Experience in Warehouse management or 3PL partner relation is a must
 </li>
 <li>
 Data and detail-oriented, and tech-savvy
 </li>
 <li>
 Ability to guide senior-level executives and manage the expectations of multiple stakeholders
 </li>
 <li>
 Ability to lead, coordinate, and facilitate the work of others; have supervisory responsibilities
 </li>
 <li>
 Ability to take a broad perspective to problems and spot new, less obvious solutions
 </li>
 <li>
 Ability to perform a variety of the most complex tasks and/or lead one or more teams
 </li>
 <li>
 Be able to use knowledge of how the team integrates with other teams to coordinate efforts and resources to achieve shared and individual objectives
 </li>
 <li>
 Excellent analytical and communication skills, and always hands-on with several tools
 </li>
 </ul>
</div>

Assistant Manager Demand Planning

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