construction accountant (mid/senior level)

ai engineer

chief engineer

electrical engineer

planning engineer

plant support engineer

process engineer

Kraft Heinz

<div><h2 class="jobSectionHeader"><b>Job Description
</b></h2><p>Process Engineer will oversee production process and ensure efficiency and quality based on company standards , safety, right the first time, compliance to plan, sanitation, labor cost, through put, yield, operating systems health, hard asset improvement and team improvement.
</p><p></p><p><b>Responsibilities
</b></p><ul><li><p>Review all new lines layout &amp; match with new footprint
</p></li><li><p>Cooperate with filling lines supplier in equipment final positioning
</p></li><li><p>Coordinate with consultant &amp; contractor on timeline for equipment positioning &amp; installations
</p></li><li><p>Plan for equipment installations matching with overall project timeline achieving EHS requirements
</p></li><li><p>Follow all safety requirements &amp; precautions during installation
</p></li><li><p>Arrange &amp; coordinate equipment installation under supervision of equipment supplier
</p></li><li><p>Provide periodic progress reports showing completion Vs. planned plan
</p></li><li><p>Arrange &amp; coordinate with internal team for any possible stoppages required for the new lines (specifically for new NRGB line)
</p></li><li><p>Ensure compliance with all relevant standards, and policies related to Engineering
</p></li><li><p>Coordinate with EHS team &amp; Prepare risk assessments following safety requirements for all installation activities applicable for this.
</p></li><li><p>Follow closing any incident reporting raised during installation time &amp; ensure appropriate corrective actions are taken
</p></li><li><p>Oversee daily production operations to meet safety, quality, and productivity targets.
</p></li><li><p>Collaborate with cross-functional teams (maintenance, quality, supply chain) to resolve process issues and optimize resource utilization.
</p></li><li><p>Lead production planning, changeovers, and capacity optimization to achieve cost and service objectives.
</p></li><li><p>Monitor and manage KPIs such as OEE, downtime, waste, and throughput to drive continuous performance improvement.
</p></li><li><p>Ensure adherence to SOPs and best operational practices across shifts and production areas.
</p></li><li><p>Analyze and improve manufacturing processes to enhance efficiency, product quality, and yield.
</p></li><li><p>Provide technical support in troubleshooting, process validation, and performance optimization.
</p></li><li><p>Support preventive and predictive maintenance programs to sustain equipment reliability.
</p></li><li><p>Champion Lean Manufacturing methodologies (5S, Kaizen, VSM) to eliminate waste and improve process flow.
</p></li><li><p>Facilitate root cause analysis using 5 Whys and Fishbone tools to address recurring issues.
</p></li><li><p>Lead cross-functional improvement projects targeting cost reduction, productivity, and quality enhancement
</p></li><li><p>Engage teams in Gemba walks, daily performance reviews, and visual management to sustain a culture of improvement.
</p></li><li><p>Drive standardization, training, and empowerment to strengthen problem-solving capabilities at all levels.
</p></li><li><p>Coach and develop operators and technicians in Lean practices and operational discipline
</p></li><li><p>Foster teamwork, ownership, and accountability through transparent communication and performance feedback.
</p></li><li><p>Support succession planning and skill development for future operational excellence leaders.
</p></li></ul><p></p><p><b>Qualifications
</b></p><ul><li><p>Bachelor&rsquo;s degree (Engineering: Mechanical, Electrical or industry field)
</p></li><li><p>At least 7 years of experience in the same filed &ndash; preferable in FMCG
</p></li><li><p>Safety practices and principles related to maintenance activities
</p></li><li><p>Corrective and Preventive Maintenance
</p></li><li><p>Excellent Command of both Spoken and written Arabic and English
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Location(s)
</b></h2>6 October Factory<br>
<p></p><br>
<p><br>
<b>Kraft Heinz is an Equal Opportunity Employer &ndash; Underrepresented Ethnic Minority </b><b>Groups/Women/Veterans/Individuals </b><b>with Disabilities/Sexual Orientation/Gender Identity and other protected classes </b><b>.</b></p></div>

Process Engineer

PepsiCo

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 <strong>
  We Are PepsiCo
  <br/>
  <br/>
 </strong>
 PepsiCo is a leading name in North Africa&rsquo;s food and beverage industry, where our products are enjoyed by consumers daily across the region. We offer a robust portfolio of beloved brands like PEPSI, SEVEN-UP, DORITOS, CHEETOS and CHIPSY, designed to cater to the tastes and preferences of consumers. With a focus on local sourcing, production, and distribution, PepsiCo provides essential support to local economies and partners closely with communities throughout the region.
 <br/>
 <br/>
 <strong>
  Guiding Vision and Regional Impact
  <br/>
  <br/>
 </strong>
 PepsiCo&rsquo;s vision aligns with our global goal to be the Leader in Beverages and Convenient Foods by Winning with PepsiCo Positive (pep+). This strategic transformation is committed to sustainable growth by putting people and the planet at the heart of our operations. In North Africa, this includes initiatives in responsible sourcing, waste reduction, and water conservation. Our regional programs empower local talent, boost employment, and provide support for local agriculture, particularly through partnerships with farmers and suppliers.
 <br/>
 <br/>
 <strong>
  Empowering Our People and Communities
  <br/>
  <br/>
 </strong>
 Our dynamic teams drive the PepsiCo culture in North Africa, embracing diversity and collaboration to solve local challenges and create innovative products. We are dedicated to fostering an inclusive workplace, one where every individual feels valued and empowered to be themselves. This commitment extends beyond our employees to positively impact the communities we serve, striving for shared growth and a healthier, more sustainable future for all.
 <br/>
 <br/>
 <strong>
  Diversity and Inclusion Commitment
  <br/>
  <br/>
 </strong>
 PepsiCo stands firmly behind our global commitment to diversity, equality, and human rights. We are proud to be an equal opportunity employer, ensuring a fair and welcoming workplace for all, regardless of age, gender, religion, disability, or any other characteristic. Our dedication to inclusion strengthens our workforce and helps drive our business forward, enriching both PepsiCo and the communities in North Africa.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Production
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead on the execution of the daily production plan &amp; monitor the true efficiency &amp; net efficiency
  </li>
  <li>
   Monitor the water usage, Energy &amp; waste of the PL and ensure meeting set KPIs for both
  </li>
  <li>
   Communicate machine downtime on spot
  </li>
  <li>
   Fill in the daily M&amp;W production report
  </li>
  <li>
   Request &amp; receive the production raw &amp; pack material on SAP and deliver finished good to the warehouse
  </li>
  <li>
   Follow up the production line cleanliness before/after &amp; during production shift
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Autonomous Maintenance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Execute production line autonomous maintenance (Cleaning, Inspection, Lubrication, Tightening)
  </li>
  <li>
   Own work order process from Autonomous maintenance on SAP PM
  </li>
  <li>
   own the production line lubrication map &amp; follow up on the inspection/ Tightening list per machine
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preventive Maintenance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Supervise the line Preventive Maintenance Tech with setting &amp; executing the monthly PM plan/line
  </li>
  <li>
   execute actions for corrective &amp; preventive maintenance tasks via PM techs &amp; OM
  </li>
  <li>
   Ensure the production line preventive maintenance compliance via own PM techs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Trouble shooting
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead on the production line minor mechanical stoppages trouble shooting (0-30Min)
  </li>
  <li>
   Escalate major mechanical stoppages to concerned mechanical engineer (30Min+)
  </li>
  <li>
   Partner with mechanical engineer in root cause analysis
  </li>
  <li>
   Escalate both minor &amp; major electric breakdowns to electric engineer
  </li>
  <li>
   Ensure production line restart in stable condition after failure
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Planned maintenance/overhaul
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   supervise maintenance action plan as per timelines &amp; accountabilities
  </li>
  <li>
   report daily progress to maintenance team
  </li>
  <li>
   Ensure Implementation of CQV to enable line restart in a stable condition&rsquo;
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Spare parts
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Alert mechanical engineer with consumable spare parts minimum stock
   <br/>
   <br/>
  </li>
 </ul>
 With own team:
 <br/>
 <br/>
 <ul>
  <li>
   Develop and train own operate maintain technicians to continuously meet set KPIs
  </li>
  <li>
   Monitor the outsourced labor on line to ensure performing assigned tasks as needed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Others
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Act as a circle leader as part of the TPM (AM agenda in plant)
  </li>
  <li>
   Meet the set KPIs for all plant&rsquo;s audit (AIB/ GESMS)
  </li>
  <li>
   Follow and apply all quality, food safety, EHS guidelines and policies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Engineering graduate
  </li>
  <li>
   From 0-1 year of experience
  </li>
  <li>
   English language &amp; computer fluency
  </li>
  <li>
   Trouble shooting skills
  </li>
  <li>
   Basic leadership skills
  </li>
  <li>
   Ability to work with diverse cultures
  </li>
 </ul>
</div>


Production Shift leader

Mercedes-Benz Group

<div><div><div><div><div><div><div><div>T&auml;tigkeitsbereich:Sonstiges</div></div><div><div>
Fachabteilung:Production Engineering</div></div><div><div>
Gesellschaft:Mercedes-Benz Manufacturing and Import Egypt</div></div><div><div>
Standort:6th of October City, 4th Industrial Zone, Land 1/1</div></div><div><div>
Startdatum:sofort</div></div><div><div>
Ver&ouml;ffentlichungsdatum:29.01.2026</div></div><div><div>
Stellennummer:MER0003YC0</div></div><div><div>
Arbeitszeit:Vollzeit</div></div></div></div><div><div><div>
</div></div></div></div></div></div><div><div><div><div>Aufgaben<div><div><p>
We are seeking a highly motivated and detail-oriented Engineering caliber to join our Quality and Engineering team. This is an excellent opportunity for an aspiring engineer to gain hands-on experience in a world-class automotive manufacturing environment. You will play a crucial role in supporting our daily quality control and engineering activities, ensuring smooth operations as our team focuses on exciting new projects, including new color releases and acoustic foam applications.</p><p>
Key Responsibilities:</p><ul><li>
Provide general engineering support for various daily tasks as directed by the Quality and Engineering Manager.</li><li>
Assist with daily quality checks and inspections on the production line, particularly within the top coat process.</li><li>
Support the collection and analysis of production and quality data.</li><li>
Help maintain and update quality documentation and records.</li><li>
Participate in process monitoring and identify potential areas for improvement.</li><li>
Collaborate with production and quality teams to ensure adherence to Mercedes-Benz standards.</li></ul><p>
What You Will Gain:</p><ul><li>
Direct exposure to advanced automotive manufacturing processes and quality systems.</li><li>
Practical experience in paint shop operations and quality assurance.</li><li>
Mentorship from experienced engineers in a leading global automotive brand.</li><li>
An understanding of SKD plant operations and supply chain integration.</li></ul></div></div></div></div></div><div><div><div>
Qualifikationen<div><div><p>
Who We Are Looking For:</p><ul><li>
A fresh graduate holds a Bachelor's degree in (Science, Chemistry, or Chemical Engineering) only.</li><li>
Know the basics of Automotive paint manufacturing and applications.</li><li>
Attention to detail and a commitment to quality work results.</li><li>
Good in Microsoft Office Suite.</li><li>
Good communication skills in both English and Arabic.</li></ul></div></div></div></div></div></div><div><div><div>
Benefits</div></div></div><div><div><div>
KontaktMercedes-Benz Manufacturing and Import Egypt<div><div>
4th Industrial Zone, Land 1/122222 6th of October City</div><div>
Mariam Elharref E-Mail: mariam.elharref@mercedes-benz.com</div></div></div></div></div></div><div></div>

Engineering and Production Support, Senior Specialist (Outsourced)

Nestlé

<div><p><b>Main Purpose of Job</b></p><p>
Provide support on Maintenance and Improvement (M &amp; I) professional and technical in the Factory for operational activities and during participation in CAPEX projects; doing so in line with corporate guidelines, enforcing that all M&amp;I activities enhance business objectives, product quality and plant operation/performance, while ensuring that people health and safety, product safety are never compromised.</p><p></p><p><b><br>
Key Outputs</b></p><ul><li><b>
People Development. </b>Maintain and deploy the corresponding Engineering core Competence of his/her expertise. Assist training and skills assessment</li><li><b>
M&amp;I. </b>Enable high performance Operations, by providing assets' Maintenance according to the Nestl&eacute; Strategy, using TPM/PM as the multi-disciplined approach to maintain/improve fixed assets, and AMM to manage their life cycle</li><li><b>
Project Management.</b> Support in Capital Investments projects in his Plant ensuring that the technical solution follows corporate and market standards and is delivered with the expected quality, being on time and in allocated budget. Responsibilities include: the preparation of the user and technical specifications, coordinating the requirements of the main users (production, quality, etc.), the follow up of the solution development, the pre-test, implementation and training of operators and maintenance crews. Must fully understand the technical details of the M&amp;I solutions in all projects.</li><li><b>
Compliance.</b> Ensure Process &amp; Equipment safety for people, products and environment and that one exhibits an attitude of absolute intolerance for unsafe situations. Ensure that the Change Management is in place to appropriately manage modifications in the M&amp;I solutions. Ensure the application of the market and local M&amp;I related legislation.</li><li><b>
Product and Process Mastership:</b> Plant engineers play a key role in the continuous improvement of our factories through mastering the process and product characteristics. Plant engineer must have a deep insight of the processes, and continuously strive for the improvement of quality, safety or efficiency while protecting the technological know how and competitive advantage.</li><li><b>
Operational Support:</b> Participates in the implementation of engineering tools at site level (i.e. NSAT, NIMS, AMM, etc.). Ensures that all M&amp;I installations comply with market and corporate safety, health, environment, product safety and product quality standards. Participates in the M&amp;I activities in the factory.</li></ul><p></p><p><b><br>
Key Experiences</b></p><ul><li>
Academic Experience: Mechanical/Electrical Engineering degree or equivalent</li><li>
Operational Experience: <b>3-5 years</b> Maintenance and Improvement experience</li><li>
Personnel Supervision (of technical teams, contractors or other 3rd parties)</li><li>
Participation in the development of engineering projects as part of a multidisciplinary team (preferably including different products and technologies)</li><li>
Participation in the start-up of technical equipment(s) and/or production line(s)</li><li>
Self Management following defined KPIs/Objectives, and proactively tracking them</li><li>
Exposure to TPM, preventive maintenance planning and/or maintenance execution desired</li></ul></div><p></p>

Associate Manager, Maintenance Engineer

Sarmad

<div><p>Sarmad is on the lookout for a <b>Senior DevOps Engineer</b> who will play a pivotal role in optimizing our development and operational processes. This position is ideal for someone who thrives in a collaborative environment and is passionate about utilizing cutting-edge technology to streamline workflows. If you have a strong background in DevOps practices and are eager to lead initiatives that drive efficiency, we want you on our team!</p><p></p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities:</b></h3><ul>
<li>Design and implement robust CI/CD pipelines to automate processes.</li>
<li>Oversee cloud infrastructure, ensuring scalability and security.</li>
<li>Collaborate closely with development teams to enhance system performance and reliability.</li>
<li>Automate deployment processes and system monitoring.</li>
<li>Provide technical guidance and mentorship to junior team members.</li>
<li>Conduct regular system audits and performance tuning.</li>
<li>Document infrastructure and process workflows effectively.</li>
<li>Respond to and troubleshoot multiple production environments during on-call duties.</li>
</ul><p><b>Requirements</b></p><ul>
<li>
Minimum of 4 years of experience in a DevOps or similar role.</li>
<li>Proficiency in cloud services such as AWS, Azure, OCI or GCP.</li>
<li>Experience with container orchestration (Docker, Kubernetes).</li>
<li>Familiarity with CI/CD tools like Jenkins, ArgoCD, GitLab, or CircleCI.</li>
<li>Knowledge of Infrastructure as Code principles using Terraform, CloudFormation, or Ansible.</li>
<li>Strong scripting skills in languages such as Python, Ruby, or Bash.</li>
<li>Experience with monitoring and logging solutions (e.g., ELK Stack, Sentry, Datadog, New Relic, etc...).</li>
<li>Solid experience in DevSecOps (concept and tools).</li>
<li>Solid understanding of networking concepts and protocols.</li>
<li>Strong analytical and problem-solving abilities.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a relevant field.</li>
</ul><p><b>
Benefits</b></p><ul>
<li>Hybrid work model</li>
<li>Healthy working environment</li>
<li>Medical Insurance</li>
<li>Social Insurance</li></ul></div>

Senior Devops Engineer

Al-Mansour Automotive

<div>
 <p>
  Aftersales Technical Training is responsible for overseeing the development and delivery of training programs to enhance the skills and knowledge of aftersales staff. This role involves identifying training needs, designing course materials, and leading training sessions focused on the technical aspects of products and services. The Section Head ensures that the aftersales teams are equipped to provide exceptional service and support, contributing to customer satisfaction and loyalty.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Develop and manage a comprehensive technical training calendar, detailing all scheduled training sessions, topics, and objectives for the upcoming period.
  </li>
  <li>
   Oversee the delivery of engaging and informative technical training sessions, utilizing a variety of teaching methods to cater to different learning styles.
  </li>
  <li>
   Ensure the implementation of the development plan aligns with the standard operating procedures (SOP) for technical training.
  </li>
  <li>
   Prepare and present detailed monthly reports on the progress of training activities, highlighting achievements and areas for improvement.
  </li>
  <li>
   Continuously seek innovative approaches to enhance the technical development services offered, proposing new ideas that could add value to the training process.
  </li>
  <li>
   Create and update technical training materials, ensuring content is relevant, up-to-date, and tailored to the needs of Team Leaders and Technicians.
  </li>
  <li>
   Lead and mentor the training team, providing guidance and support to ensure high-quality training delivery.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <p>
  Bachelor's Degree in Engineering
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <p>
  5+ years of experience in Service Technical Support or as an Engineer, with at least 2 years in a supervisory or managerial role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job-specific Skills
  </strong>
 </p>
 <ul>
  <li>
   Extensive technical service experience in Automotive
  </li>
  <li>
   High level of analytical skills
  </li>
  <li>
   Highly competent in computer skills
  </li>
  <li>
   Excellent communication skills
  </li>
  <li>
   Innovative and proactive in problem-solving
  </li>
  <li>
   Strong leadership and team management abilities
  </li>
 </ul>
 <p>
 </p>
</div>


Technical Training Section Head

Appgain

<p>APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.</p><p><b>Responsibilities:</b></p><ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul><p>Job Type: Full-time / On site</p><p>Job Type: Full-time</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI Engineer: 2 years (Preferred)</li><li>Python : 2 years (Preferred)</li><li>machine learning algorithms :: 2 years (Preferred)</li><li>big data technologies : 2 years (Preferred)</li></ul><p>Location:</p><ul><li>Giza (Preferred)</li></ul>

AI Engineer

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