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electrical maintenance engineer

electronics production supervisor

Ishraaq Foundation for Community Development

<div>
 Role Summary
 <ul>
 <li>
 Supervise day-to-day electronics production for EEUN products (e.g., chargers, cables, accessories, light electronics). Ensure
 
 output, quality, ESD compliance, process discipline, and documentation
 
 . Lead operators/technicians, enforce SOPs, and drive continuous improvement.
 </li>
 </ul>
 
 
 
 Key Responsibilities1) Production Execution
 <ul>
 <li>
 Run daily production plan: manpower allocation, line balancing, takt time, shift targets.
 </li>
 <li>
 Ensure timely completion of work orders with minimal defects and rework.
 </li>
 <li>
 Coordinate material availability with warehouse/supply chain (kitting, shortages, FIFO).
 </li>
 </ul>
 2) People Supervision
 <ul>
 <li>
 Supervise operators, technicians, and line leaders: attendance, training, productivity, discipline.
 </li>
 <li>
 Conduct on-job training and enforce standard work instructions.
 </li>
 </ul>
 3) Quality &amp; Process Control
 <ul>
 <li>
 Enforce QC gates: incoming, in-process, final inspection.
 </li>
 <li>
 Control defects via root cause analysis (5-Why, basic CAPA), reduce rework/scrap.
 </li>
 <li>
 Maintain production records, traceability, and QC checklists.
 </li>
 </ul>
 4) ESD &amp; Safety Compliance
 <ul>
 <li>
 Implement and audit ESD controls: wrist straps, mats, grounding, ionizers (if used), storage.
 </li>
 <li>
 Ensure PPE and basic safety compliance; maintain clean and organized work areas (5S).
 </li>
 </ul>
 5) Equipment &amp; Tooling Oversight
 <ul>
 <li>
 Ensure proper use/calibration of tools (torque drivers, testers, microscopes, power supplies).
 </li>
 <li>
 Coordinate maintenance and report abnormalities early.
 </li>
 </ul>
 6) Continuous Improvement
 <ul>
 <li>
 Improve throughput and quality using small Kaizen changes: fixture improvements, better work sequence, visual management, mistake-proofing (poka-yoke).
 </li>
 <li>
 Support NPI (new product introduction) trials and stabilize processes.
 </li>
 </ul>
 Requirements
 <ul>
 <li>
 Diploma/BSc in Electronics, Electrical, Mechatronics, Industrial Engineering, or similar.
 </li>
 <li>
 
 3&ndash;7 years
 
 in electronics manufacturing/assembly, with
 
 1&ndash;3 years
 
 as supervisor/line leader.
 </li>
 <li>
 Strong understanding of:
 </li>
 <li>
 Assembly processes, soldering basics (if applicable), inspection standards
 </li>
 <li>
 Basic QC tools, defect tracking, rework control
 </li>
 <li>
 ESD discipline and factory documentation
 </li>
 <li>
 Comfortable with KPIs, shift reporting, and hands-on floor management.
 </li>
 </ul>
 KPIs
 <ul>
 <li>
 Output vs plan (daily/weekly)
 </li>
 <li>
 First Pass Yield (FPY) / defects per unit
 </li>
 <li>
 Rework and scrap rate
 </li>
 <li>
 Line downtime
 </li>
 <li>
 Attendance and productivity per operator
 </li>
 <li>
 On-time delivery (OTD)
 </li>
 <li>
 ESD audit compliance
 </li>
 </ul>
 
 
 
</div>

Electronics Production Supervisor

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

Arrow Components

Solmax

<div>
 
 Overview
 
 
 
 The Lab Chemist will perform routine and specialized testing of raw materials, in-process samples, and finished polyethylene products in accordance with approved methods and specifications, ensuring product quality, compliance with standards, and adherence to the company&rsquo;s Integrated Management System (IMS) requirements.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct routine testing of raw materials and finished products in accordance with approved ASTM, ISO, and internal methods.
 </li>
 <li>
 Perform testing on in-process and finished products as per the Product Technical Data Sheet, Solmax Quality Plan, and specified testing frequency for each property.
 </li>
 <li>
 Ensure that all laboratory equipment is maintained in good operating condition and that calibration certificates remain valid.
 </li>
 <li>
 Prepare and submit daily, weekly, and monthly testing reports and summaries for management review.
 </li>
 <li>
 Report any detected nonconformities immediately to the Production Shift Supervisor or Production Manager and actively participate in root cause analysis and corrective actions.
 </li>
 <li>
 Support the effective implementation and continual improvement of the Integrated Management System (ISO 9001, ISO 14001, and ISO 45001).
 </li>
 <li>
 Escalate any quality, safety, or environmental concerns to the Quality Manager or relevant manager.
 </li>
 <li>
 Contribute to achieving company objectives regarding quality, safety and environment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in chemistry or chemical engineering with 3+ years of experience in a manufacturing laboratory environment, preferably in polyethylene or polypropylene production.
 </li>
 <li>
 Good command of English (spoken and written).
 </li>
 <li>
 Statistical Process Control (SPC) and Quality Management Systems.
 </li>
 <li>
 Proficiency in MS Excel, MS Word, Outlook, and ERP systems (e.g., Dynamics 365).
 </li>
 <li>
 Strong analytical, communication, and documentation skills.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary &amp; annual profit share.
 </li>
 <li>
 Medical &amp; Life insurance.
 </li>
 <li>
 Dynamic and Multinational company
 
 
 </li>
 </ul>
</div>

Lab Chemist

Amazon

<div>
 
 Description
 
 
 
 The Learning Associate is responsible for the coordination and execution of training for all process paths in the Fulfillment Center. Learning Associates evaluate and refine processes and techniques to improve learning effectiveness and production across all departments in the building. The Trainer assists in driving the success training plans and supporting the needs of the Fulfillment Center workforce.
 
 
 Key job responsibilities
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Act as a supervisor for Instructors and Peer Trainers with new hires
 </li>
 <li>
 Deliver Instructor training, observation and coaching
 </li>
 <li>
 Ensure training records are kept up to date through the console
 </li>
 <li>
 Ensure training materials are kept and delivered against the standard and provide a positive learning experience
 </li>
 <li>
 Use and analyze data on a daily basis to improve New Hire (NH) learning experience
 </li>
 <li>
 Feedback to Instructors and Peer Trainers on their delivery NH groups performance
 </li>
 <li>
 All tests/ audits are completed and responses are tracked
 </li>
 <li>
 Organize (Instructors assignment) and monitor cross training for the operations to support peak skill requirements
 </li>
 <li>
 Work with operations on a skill matrix to highlight gaps for critical role training
 </li>
 <li>
 Support operations with the delivery of critical role training
 </li>
 <li>
 Improve processes from gathering feedback and analyzing data
 </li>
 <li>
 Support the recruitment of Instructors and Peer Trainers
 </li>
 <li>
 Attend meetings when required and provide information required
 </li>
 <li>
 Work in partnership with the agency managers to improve new hire performance
 </li>
 <li>
 Support projects with feedback and improvements
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in logistics, transportation, supply chain, import/export operations, or data entry/data administration
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3130376
</div>

Learning Associate

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 over 70+ 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
 
 
 
 <ul>
 <li>
 Responsible for the operations of the store during his shift, in terms of end to -end operation: managing staff , Ordering, Inbound receiving, stocking, Pick and pack orders
 </li>
 <li>
 Assists Store supervisor to manage all store operations (i.e. selecting people, scheduling shifts, routine and preventive maintenance, &hellip;)
 </li>
 <li>
 Assists Store supervisor for Ordering / Store replenishment: by Ensure proper stock in stores (No OOS or OVS) and help to assessing the inventory and issuing orders based on the input and assessment of demand planner plus physical stock assessment
 </li>
 <li>
 Inventory management: Support Store supervisor by Ensuring effective stock control function and practices. Support Implementation of inventory process to ensure adequate stock levels and accurate inventory by conducting Store Stock take &amp; Cycle count based on the agreed schedule
 </li>
 <li>
 Inbound receiving: During his shift , to ensure Accurate receiving of orders as per policies &amp; SOP
 </li>
 <li>
 Outbound: During his shift , to ensure Efficient and accurate picking and packing of customer orders, as per SOP
 </li>
 <li>
 Support Store supervisor by monitoring fulfillment processes and recommend improvements to increase productivity and profits.
 </li>
 <li>
 Help Store supervisor by Ensuring implementation of actions pertinent to store-related shrinkages
 </li>
 <li>
 Supervising the effective implementation of hygiene, sanitation, security and safety standards, as well as service level standards and ensuring a high level customer service both internally and externally during his shift
 </li>
 <li>
 Discussing with the Store supervisor all issues/problems and propose solutions
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 You have at least 3-5 years of experience in supermarket or restaurant
 </li>
 <li>
 You are someone energized by the unknown and look forward to learning each day on the job.
 </li>
 <li>
 Good communication skills, and always like to be hands-on with several tools.
 </li>
 <li>
 Additionally, you have robust interpersonal and intercultural skills.
 </li>
 <li>
 Language skills: Fluent English and Arabic would be highly advantageous
 </li>
 </ul>
</div>

Assistant Store Supervisor

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Electronics Production Supervisor

Data Scientist / Senior Machine Learning Engineer

Data Scientist / Senior Machine Learning Engineer

Data Scientist / Senior Machine Learning Engineer

Lab Chemist

Learning Associate

Assistant Store Supervisor