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Mid Level Experienced Logistics Specialist Freezone Only is Needed to join us at ESHRATEX Cotton Spinning, 47th Sultan Hussein, Alexandria Egypt. Responsible for Handling Documents and Official Duties Related to Logistics procedures in FREEZONE - GAFI Good Command With NAFEZA-ACID, Logistics Full cycle. خبرة في التعامل مع المنطقة الحرة بكافة تفاصيل العمل ( إصدار أمر الشغل- شهادات الصادر- الفواتير- التعامل مع هيئة الإستثمار- خصم وتحصيل ) Import & Export Procedures one of biggest requirements we are asking for Very Good Arabic & English Articulation Communicative and Presentable Company Location: Alexandria - Egypt, 47st Sultan Hussein Working hours: 8am-5 pm Days Off: Fridays & Saturdays. Show more

Role: Senior Data Scientist Location: Egypt, Uzbekistan, and Pakistan (Remote) Work Week: Sunday – Thursday Work Timings: 9:00 AM – 6:00 PM (Saudi Arabian Time Zone) Overview: We’re looking for a Senior Data Scientist to lead the development and deployment of advanced machine learning models that power critical business decisions. In this role, you’ll drive end-to-end ownership of ML solutions, from design and optimization to deployment and monitoring in production environments. You’ll also play a key role in shaping our data science strategy, mentoring junior team members, and ensuring that analytics insights translate into measurable business impact. This is a high-visibility role where your expertise will directly influence product innovation and growth. Role & Responsibilities: Model Development and Optimization: Lead the design, development, and deployment of advanced ML models for complex use cases, such as recommendation systems, fraud detection, customer segmentation, and demand forecasting Partner with data engineers and product teams to ensure models are scalable, reliable, and aligned with business needs Continuously optimize algorithms for performance, accuracy, and efficiency Deployment and Integration: Own end-to-end model deployment processes into production environments using Kubernetes and cloud platforms (AWS, GCP) Define and manage MLOps best practices, including model monitoring, automated retraining, and CI/CD for ML pipelines Champion automation of model training, validation, and deployment workflows to improve system reliability Analytics Strategy & Enablement: Act as a custodian of organizational data, ensuring data quality, consistency, and readiness for advanced analytics and modeling Translate complex data insights into business impact, clearly communicating ROI to stakeholders Drive adoption of analytics and data-driven decision-making across teams by mentoring and enabling business stakeholders Leadership & Collaboration: Mentor junior data scientists and analysts, providing technical guidance and career development support Collaborate closely with engineering and product leadership to shape the company’s data science strategy Stay ahead of emerging AI/ML trends, tools, and research, and advocate for their adoption when relevant Requirements: Proficiency in Python and SQL, with hands-on expertise in ML frameworks such as TensorFlow, PyTorch, Scikit-learn Strong knowledge of deployment tools (Docker, Kubernetes, cloud platforms) and MLOps best practices Proven ability to design and maintain production-grade ML systems Deep understanding of statistical analysis, hypothesis testing, and data visualization Knowledge of cloud-serverless technologies (AWS Lambda, GCP Functions, Azure Functions) Strong familiarity with GCP is a plus Prior experience deploying ML solutions in E-commerce or high-growth environments is highly desirable Familiarity to work with Git and GitHub Dataform is a must Experience: 5+ years in data science, including hands-on ML model development and deployment 3+ years in data analytics, statistical modeling, and experimentation Experience mentoring or leading junior data scientists Exposure to fast-scaling startup or tech environments is a strong plus We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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. Show more

The Firm: Arcsen is a leading global technology consulting firm specializing in providing innovative solutions and expert guidance to businesses across EMEA. With a commitment to excellence, Arcsen partners with industry giants such as Salesforce, MuleSoft, Tableau, Slack, and Sprout, Certinia, and Splunk, ensuring clients receive top-tier services tailored to their unique needs. Position Overview: We are hiring a Sitecore DevOps / Platform Engineer to own CI/CD, environment management and operational readiness for a Sitecore XM Cloud platform. You will stand up the pipelines and environments early so the build team can ship from day one, and you will own performance, hosting/DR posture and release management through go-live and hypercare. Key Responsibilities: Build and maintain CI/CD pipelines using Sitecore CLI and Azure DevOps / Git, with a branching strategy aligned to client IT governance Manage the provided Sitecore environments (non-production and production), including refresh cadence and serialization-based deployments Support the hosting, disaster-recovery and business-continuity posture: backup and restore SLAs, multi-region failover, and 24/7 availability targets Run performance and load benchmarking against the targets (page load, API p95, concurrency, TPS) and feed results back to the team Coordinate edge configuration (Cloudflare Enterprise — WAF, CDN, DDoS, dark-site/crisis mode) with the security team Set up monitoring, centralised logging (log shipping to the client SIEM) and alerting; support incident response during hypercare Document runbooks and lead knowledge-transfer to the client operations team Requirements Bachelor's degree in Computer Science, Information Technology, or related field 4+ years of DevOps / platform engineering Hands-on Azure DevOps and SiteCore CLI / SiteCore Content Serialization Containerisation (Docker / Kubernetes) and CI/CD pipeline design Cloud hosting plus disaster-recovery and backup experience Git branching strategy and release management Nice-to-have Sitecore XM Cloud deployment experience specifically Cloudflare Enterprise (WAF / CDN / DDoS) configuration. IEM / log-shipping experience.Performance and load testing tooling Infrastructure-as-code (Terraform / Bicep) Benefits Hands-on experience with real-world projects and clients Collaborative and supportive work environment Career growth opportunities Arcsen is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Different makes us better. By applying, you give your consent to the processing of your personal data which are necessary to the Personal Data Administrator for the purpose of the recruitment process, and the future recruitment processes. This consent will allow us to contact you in connection with our recruitment. We will process your data for two years. Show more

We are seeking a dedicated and motivated Mechanical Engineer to join our dynamic team at a leading construction company. The successful candidate will be responsible for designing, developing, and maintaining mechanical systems and equipment crucial to our construction projects. This role requires both technical expertise and the ability to work collaboratively with cross-functional teams to ensure efficient project execution and adherence to quality standards. RESPONSIBILITIES Design and develop mechanical systems and equipment for construction projects. Conduct feasibility studies and cost estimates for mechanical systems. Collaborate with project managers, architects, and other engineers to ensure project specifications are met. Oversee the installation and commissioning of mechanical systems on-site. Perform troubleshooting and provide solutions for mechanical issues that arise during construction. Ensure compliance with safety regulations, codes, and industry standards. Create and maintain project documentation, including design reports and technical specifications. Utilize CAD software for the design and modeling of mechanical components and systems. REQUIREMENTS Bachelor's degree in Mechanical Engineering or related field. Proven experience (3+ years) in mechanical engineering within the construction industry. Strong knowledge of HVAC systems, plumbing, and other mechanical systems relevant to construction. Proficiency in CAD software such as AutoCAD or SolidWorks. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication skills, both written and verbal. Familiarity with construction project management software is a plus. Show more

We seek a highly skilled and experienced SRE Engineer to join our dynamic team. The ideal candidate will have a robust background in software engineering, with extensive experience in using Terraform for infrastructure as code (IaC) to manage and provision cloud resources on AWS. Design, implement, and manage cloud infrastructure using Terraform and other IaC tools Proactively monitor, troubleshoot, and optimize the performance of cloud environments to guarantee high availability and efficiency Implement and maintain CI/CD pipelines for automated code deployment and infrastructure changes Develop and manage the data stack, encompassing infrastructure resources, implementation, and data lake setup Respond to and manage critical alerts and incidents, coordinating swift response efforts to mitigate impact and downtime Perform thorough root cause analysis (RCA) for incidents to identify and address underlying issues, developing solutions that prevent future occurrences Document and maintain comprehensive guides for system configurations and operational procedures, promoting knowledge sharing and operational excellence Requirements Bachelor's degree in Computer Science, Engineering, or a related field Solid 4+ years of experience in the same or relevant field Solid background in software engineering with advanced proficiency in high-level programming languages such as JavaScript or Python. Additional experience with NodeJS is a plus Expertise in AWS cloud services, with a keen understanding of architecture, security principles, and cost optimization strategies Strong experience in Linux system administration, including setup, configuration, and maintenance tasks Proficiency in containerization with Docker and orchestration with Kubernetes is highly valued Experience with scripting languages (Bash, Python, Go) and familiarity with Git workflows Demonstrated ability to automate and manage infrastructure using Terraform and other IaC tools in cloud environments like AWS or Azure Understanding of microservices architecture, Serverless technologies, and both SQL and NoSQL database systems Exceptional problem-solving abilities, alongside excellent teamwork and communication skills. Adaptability and a commitment to continuous learning in the fast-evolving cloud technology landscape are essential Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Associate Job Description & Summary We are seeking a high-performing Associate Backend Engineer (Python & Django) to take ownership of building and delivering scalable, secure, and high-quality backend solutions. In this role, you will contribute to system design, lead backend feature delivery, and support the integration of modern AI-enabled capabilities into enterprise applications. You will work closely with cross-functional teams and stakeholders to translate business requirements into robust technical solutions while ensuring engineering excellence throughout the delivery lifecycle. Key Responsibilities Own end-to-end delivery of backend features—from requirements clarification and design through development, testing, and deployment—ensuring high-quality and timely outcomes. Design, develop, and maintain scalable and secure web applications and APIs using Python and Django. Contribute to backend architecture and design decisions, including data modeling, service structure, and performance optimization. Build and integrate RESTful APIs and microservices, ensuring reliability and maintainability. Collaborate with frontend engineers, product stakeholders, and solution architects to translate business requirements into technical solutions. Ensure code quality and engineering best practices through code reviews, automated testing, and documentation. Optimize applications for performance, scalability, and security across environments. Support production deployments, monitoring, and issue resolution, ensuring system stability. Mentor and guide junior developers, providing technical direction within modules or workstreams. Contribute to CI/CD pipelines and DevOps practices, enabling efficient releases. AI & Advanced Capabilities Contribute to the integration of AI/ML-driven features (e.g., recommendation systems, document processing, conversational interfaces) into backend services. Work with AI/ML models or APIs (e.g., LLMs, NLP services) and integrate them into scalable backend systems. Support data pipelines and preprocessing workflows required for AI-enabled use cases. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. 1+ years of backend development experience, with demonstrated ownership of feature delivery. Strong proficiency in Python and Django (or similar frameworks). Experience designing and building RESTful APIs and backend services. Solid understanding of relational databases (PostgreSQL, MySQL) and data modeling. Experience with version control systems (Git) and collaborative development workflows. Familiarity with testing frameworks, CI/CD pipelines, and deployment processes. Strong understanding of software design principles, scalability, and performance optimization. Proven ability to work in agile, fast-paced delivery environments. Preferred Qualifications Experience with Django REST Framework (DRF) or similar API frameworks. Exposure to microservices architecture and distributed systems. Experience with cloud platforms (Azure/AWS) and containerization (Docker, Kubernetes). Familiarity with event-driven architectures or messaging systems (e.g., Kafka, RabbitMQ). Hands-on experience integrating AI/ML services or working with LLM APIs (e.g., OpenAI, Azure AI). Understanding of data engineering concepts (pipelines, ETL, data processing). Experience in client-facing or consulting environments. Leadership & Professional Skills Demonstrates ownership, accountability, and delivery focus across assigned workstreams. Strong problem-solving and analytical thinking skills. Effective communication and stakeholder engagement, with ability to translate technical concepts. Ability to lead backend delivery within modules, guiding design and implementation. Self-driven with commitment to continuous learning and innovation, particularly in AI-enabled development. Required Skills Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Android Operating Systems, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Debugging, Emotional Regulation {+ 41 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more