Machine operator Jobs

Valleysoft is a regional IT services provider delivering enterprise application development, process management, IT support, and a broad range of technology solutions for global clients. Working across the information technology and services sector, the company helps organizations solve complex business problems through practical, scalable digital solutions.<br><br>As a Data Scientist - Artificial Intelligence, you will help shape AI-driven solutions that turn data into business value. This role is focused on applying advanced data science, machine learning, and generative AI techniques to real-world challenges, partnering closely with technical teams and business stakeholders to deliver solutions that are innovative, reliable, and aligned with business goals.<br><br>Responsibilities<br><br>Design, develop, and deploy Machine Learning and Artificial Intelligence models to address complex business challenges. Analyze large volumes of structured and unstructured data to identify trends, patterns, and actionable insights. Build predictive, classification, clustering, recommendation, and forecasting models. Develop and optimize Deep Learning models using modern AI frameworks. Design and implement Generative AI solutions using Large Language Models (LLMs). Build Retrieval-Augmented Generation (RAG) pipelines and apply Prompt Engineering techniques. Perform data collection, cleansing, preprocessing, feature engineering, and exploratory data analysis (EDA). Collaborate with Data Engineers and Software Engineers to build scalable AI applications and data pipelines. Deploy, monitor, and maintain machine learning models using MLOps best practices. Evaluate and improve model performance using appropriate statistical and machine learning metrics. Work closely with business stakeholders to translate business requirements into AI-driven solutions. Develop technical documentation, model documentation, and solution architecture artifacts. Ensure AI solutions comply with data governance, security, privacy, and Responsible AI principles. Stay current with emerging AI technologies, frameworks, and industry best practices<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field. Min 7 years of hands-on experience in Data Science, Machine Learning, or Artificial Intelligence. Strong experience developing and deploying AI/ML models in enterprise environments. Excellent analytical, problem-solving, and communication skills. Experience working in Agile development environments. <br><br>Technical Skills:<br><br>Programming Languages<br><br> Python SQL R (Preferred) <br><br>Machine Learning & Data Science<br><br> Scikit-learn XGBoost Light GBM Statistical Modeling Predictive Analytics Time Series Forecasting Classification & Regression Clustering Recommendation Systems Feature Engineering <br><br>Deep Learning<br><br> Tensor Flow PyTorch Keras <br><br>Generative AI<br><br> Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Lang Chain Llama Index AI Agents Vector Databases (FAISS, Chroma DB, Pinecone) <br><br>IBM AI & Data Platform<br><br> IBM watsonx.ai IBM watsonx.data IBM watsonx.governance IBM Cloud Pak for Data IBM Knowledge Catalog IBM Db2 IBM SPSS Modeler (Preferred) <br><br>Data Engineering<br><br> Apache Spark Hadoop Apache Kafka Apache Airflow Pandas Num Py ETL Pipelines <br><br>Databases<br><br> Postgre SQL Oracle Database Microsoft SQL Server Mongo DB <br><br>Cloud Platforms<br><br> IBM Cloud Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) <br><br>MLOps & Dev Ops<br><br> MLflow Docker Kubernetes Git Jenkins CI/CD Pipelines <br><br>Data Visualization<br><br> Power BI Tableau Matplotlib Plotly <br><br>Preferred Skills<br><br> Experience developing enterprise AI solutions using IBM watsonx platform. Experience building AI-powered applications using LLMs and RAG architectures. Knowledge of Natural Language Processing (NLP) and Computer Vision. Experience with Explainable AI (XAI) and Responsible AI principles. Familiarity with Data Governance and AI Governance frameworks. Experience integrating AI models with REST APIs and microservices. Understanding of distributed computing and Big Data technologies. Experience working in Agile/Scrum teams. <br><br>Soft Skills<br><br> Strong analytical and critical thinking skills. Excellent problem-solving abilities. Strong verbal and written communication skills. Ability to work collaboratively within cross-functional teams. Strong stakeholder management skills. Ability to manage multiple priorities in a fast-paced environment. Passion for innovation, continuous learning, and emerging AI technologies. <br><br>Preferred Certifications<br><br> IBM watsonx AI Certification IBM AI Engineering Professional Certificate Microsoft Certified: Azure AI Engineer Associate AWS Certified Machine Learning - Specialty Google Professional Machine Learning Engineer Databricks Certified Machine Learning Professional <br><br>Benefits<br><br>Private Health Insurance Training & Development Opportunities for professional growth and development in a cutting-edge field A collaborative and inclusive work environment The chance to work on impactful projects with a team of passionate experts

EELAF is hiring a hands-on and detail-oriented Production Supervisor – Earbuds Assembly Line to manage daily production activities for earbuds and related electronic products. The selected candidate will be responsible for supervising operators and technicians, achieving daily production targets, controlling product quality, reducing defects and rework, ensuring proper material handling, and maintaining discipline across the assembly line. This role requires strong shop-floor leadership, practical experience in electronics assembly, and good understanding of small electronic product assembly, testing, inspection, and production control. Key Responsibilities Supervise daily operations of the earbuds assembly production line. Ensure production targets are achieved according to the approved production plan. Assign tasks to operators and technicians and monitor their productivity and discipline. Monitor daily output, line efficiency, downtime, rejection rate, rework rate, and quality issues. Supervise assembly processes for earbuds, charging cases, PCB parts, batteries, speakers, microphones, wires, housings, and accessories. Ensure proper handling of small electronic components, tools, jigs, fixtures, adhesives, silicone, soldering materials, and testing equipment. Follow up on assembly steps including soldering, wiring, gluing, silicone application, fitting, closing, testing, inspection, cleaning, labeling, packing, and final preparation. Ensure operators follow approved work instructions, SOPs, quality standards, ESD rules, and safety procedures. Coordinate with quality control to inspect products, investigate defects, and apply corrective actions. Support first-piece approval, in-process inspection, final inspection, and rework activities. Coordinate with warehouse and planning teams to ensure material availability before production starts. Report material shortages, production delays, equipment problems, quality issues, and manpower gaps. Ensure correct use of production tools, jigs, testers, ESD protection, safety equipment, and production documentation. Maintain accurate daily production reports, rejection reports, rework reports, and line-performance records. Train operators on assembly methods, quality points, handling instructions, and process discipline. Support continuous improvement activities to reduce waste, improve quality, and increase productivity. Coordinate with maintenance or engineering teams for tool, fixture, tester, and equipment issues. Ensure the production area is clean, organized, safe, and compliant with 5S principles.<br>Requirements Diploma or Bachelor’s degree in Electronics, Electrical Engineering, Production, Industrial Engineering, Mechatronics, or a related field. Minimum 4–8 years of experience in electronics assembly, consumer electronics production, earbuds assembly, mobile accessories, PCB assembly, or similar production environment. Minimum 1–2 years of experience as a Production Supervisor, Line Leader, or Senior Technician is preferred. Good knowledge of small electronic product assembly, soldering, wiring, gluing, testing, inspection, and rework. Experience with earbuds, headphones, Bluetooth devices, mobile accessories, chargers, or similar electronics is a strong advantage. Good understanding of quality control, defect analysis, rejection control, and corrective actions. Knowledge of ESD handling, 5S, safety rules, and production-line discipline. Ability to read basic work instructions, BOMs, assembly instructions, wiring diagrams, and quality checklists. Experience with production reporting, ERP systems, or daily output tracking is preferred. Good leadership, follow-up, communication, and problem-solving skills. High attention to detail and ability to work under pressure. Good command of MS Office, especially Excel. Ability to manage operators and technicians in a structured and disciplined production environment.<br>Preferred Candidate Profile Hands-on supervisor who stays close to the production line. Strong in quality control, operator discipline, and daily follow-up. Able to detect production problems early and take corrective action. Understands small-component handling and the sensitivity of electronics assembly. Focused on output, quality, safety, cleanliness, and process control. Able to coordinate effectively with quality, warehouse, planning, maintenance, and engineering teams.

<p>We are seeking passionate, forward-thinking professionals to join our dynamic software engineering team. Our client is a leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies. They specialize in technology information with more than 20 years of experience. The AI/Machine Learning Engineer is responsible for supporting the development and implementation of machine learning solutions that drive innovation across our business. Working alongside experienced engineers and domain experts, you ll help turn data into actionable insights and contribute to models that power real-world applications.</p><p>Key Accountabilities</p><ul><li>Assist in the design and development of machine learning models to solve business problems.</li><li>Perform data cleaning, preprocessing, and exploration to prepare datasets for analysis and modeling.</li><li>Collaborate with team members to analyze data, identify patterns , and extract insights.</li><li>Support the evaluation and improvement of existing models using appropriate metrics and techniques.</li><li>Work closely with cross-functional teams (engineering, product, business) to integrate data science solutions into products and processes.</li><li>Stay current with industry tools and best practices in machine learning and data analysis.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>3+ years of hands-on experience with machine learning or data analysis projects (academic or industry). Proficiency in Python and key libraries (e.g., pandas, NumPy, scikit-learn, matplotlib). Solid understanding of machine learning fundamentals , model evaluation, and data preprocessing. Good problem-solving skills and a willingness to learn new tools and techniques. Strong communication skills and the ability to work in a collaborative environment.</p><p>Preferred Qualifications:</p><ul><li>Bachelor s in Computer Science, Data Science, Statistics, or a related field.</li><li>Exposure to AWS cloud platform or deployment tools is a plus.</li><li>Familiarity with NLP tasks.</li><li>Familiarity with large language models or generative AI technologies is a bonus.</li></ul>

<blockquote><p><strong>Important: </strong>This is a dual-role position combining hands-on Data Science and Machine Learning work with technical training and learner mentoring. The successful candidate will contribute to real-world technical projects while also delivering instructor-led sessions, supporting learners, and mentoring them through practical assignments and projects. Candidates should be genuinely interested and capable in both responsibilities.</p></blockquote><p></p><h3>1- Data Science &amp; Machine Learning Responsibilities</h3><ul><li><p>Analyze structured and semi-structured datasets to identify patterns, trends, and actionable insights.</p></li><li><p>Perform data cleaning, preprocessing, exploratory data analysis, and feature engineering.</p></li><li><p>Build, train, evaluate, and improve machine learning models.</p></li><li><p>Work on classification, regression, clustering, forecasting, and other applied Data Science problems.</p></li><li><p>Apply appropriate statistical techniques and model evaluation methodologies.</p></li><li><p>Use Python and SQL for data extraction, transformation, analysis, and modeling.</p></li><li><p>Develop clear, reusable analytical notebooks, scripts, and workflows.</p></li><li><p>Create meaningful data visualizations and communicate technical findings effectively.</p></li><li><p>Participate in internal and client-facing Data Science and AI projects.</p></li><li><p>Collaborate with AI, engineering, and business teams on selected technical initiatives.</p></li><li><p>Document models, experiments, datasets, assumptions, and technical outcomes.</p></li></ul><p></p><h3>2- Generative AI Responsibilities</h3><ul><li><p>Apply modern Generative AI tools in practical technical and business use cases.</p></li><li><p>Understand the fundamentals of Large Language Models and their applications.</p></li><li><p>Use prompt engineering techniques effectively.</p></li></ul><ul><li><p>Understand the fundamentals of embeddings, vector databases, and Retrieval-Augmented Generation.</p></li><li><p>Support introductory Generative AI demonstrations, exercises, and workshops.</p></li><li><p>Experiment with LLM APIs and basic AI workflows when required.</p></li></ul><p></p><h3>3- AI &amp; Data Science Instructor Responsibilities</h3><ul><li><p>Deliver professional training sessions in Python, statistics, SQL, Data Science, Machine Learning, and introductory AI topics.</p></li><li><p>Explain complex technical concepts in a clear, practical, and structured manner.</p></li><li><p>Conduct hands-on labs, workshops, exercises, and project-based learning sessions.</p></li><li><p>Mentor learners throughout assignments, technical projects, and capstone projects.</p></li><li><p>Review code, analytical approaches, machine learning models, and project outputs.</p></li><li><p>Provide structured and constructive technical feedback.</p></li><li><p>Support learners in troubleshooting programming, analytical, and machine learning challenges.</p></li><li><p>Contribute to practical exercises, case studies, datasets, and learning materials.</p></li><li><p>Track learner progress and identify areas requiring additional support.</p></li><li><p>Help learners build strong technical portfolios and real-world Data Science projects.</p></li></ul><p></p><p><strong>Requirements</strong></p><h3><strong>Education</strong></h3><ul><li><p>Bachelor's degree in <strong>Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Software Engineering, Information Systems, Statistics, Mathematics</strong>, or another relevant technical discipline.</p></li><li><p>Postgraduate studies or recognized professional certifications in Data Science, Machine Learning, or Artificial Intelligence are considered an advantage.</p></li></ul><p></p><h3><strong>Must-Have Technical Skills</strong></h3><ul><li><p>Strong proficiency in <strong>Python</strong>.</p></li><li><p>Strong practical experience with <strong>Pandas, NumPy, Matplotlib, and Scikit-learn</strong>.</p></li><li><p>Strong understanding of <strong>statistics, probability, exploratory data analysis, and data preprocessing</strong>.</p></li><li><p>Good understanding of supervised and unsupervised machine learning.</p></li><li><p>Practical experience with regression, classification, clustering, feature engineering, and model evaluation.</p></li><li><p>Strong working knowledge of <strong>SQL and relational databases</strong>.</p></li><li><p>Ability to work with real-world datasets and translate business problems into analytical approaches.</p></li><li><p>Experience completing end-to-end Data Science or Machine Learning projects.</p></li><li><p>Familiarity with Git/GitHub and professional development practices.</p></li></ul><p></p><h3>Generative AI Knowledge</h3><p>The candidate is <strong>not required to be a specialized Generative AI Engineer</strong>, but should have:</p><ul><li><p>Practical understanding of Large Language Models.</p></li><li><p>Familiarity with prompt engineering.</p></li><li><p>Experience using modern Generative AI platforms.</p></li><li><p>Basic understanding of embeddings, vector databases, and RAG.</p></li><li><p>Basic familiarity with LLM APIs.</p></li><li><p>Exposure to LangChain, LlamaIndex, or similar frameworks is a plus.</p></li></ul><p>&nbsp;</p><h3><strong>Soft Skills &amp; Competencies</strong></h3><ul><li><p>Ability to work in a fast-paced, dynamic environment</p></li><li><p>Strong presentation, explanation, and communication skills.</p></li><li><p>Excellent communication and presentation skills, with the ability to explain complex concepts to diverse audiences.</p></li><li><p>Ability to simplify complex technical concepts for learners with different backgrounds.</p></li><li><p>Comfortable speaking and presenting in front of groups.</p></li><li><p>Ability to deliver structured technical training sessions.</p></li><li><p>Problem-solving mindset and analytical thinking</p></li></ul><ul><li><p>Demonstrated experience teaching, mentoring, or delivering technical training in an academic or corporate setting.</p></li></ul><ul><li><p>Strong command of English and Arabic.</p></li><li><p>Professional attitude, organization, accountability, and attention to detail.</p></li></ul><p>&nbsp;</p><h3>Preferred Experience</h3><ul><li><p><strong>1–4 years of practical Data Science, Machine Learning, or related technical experience.</strong></p></li><li><p>Previous experience as an instructor, teaching assistant, mentor, tutor, or technical trainer is highly preferred.</p></li><li><p>Strong Data Science portfolio, GitHub profile, or demonstrated technical projects.</p></li><li><p>Experience working on real business or client datasets is preferred.</p></li><li><p>Exposure to Generative AI projects is an advantage.</p></li></ul><ul><li><p>Epsilon AI alumni are strongly preferred (Epsiloneer)</p></li></ul><p><strong>Exceptional fresh graduates with strong technical portfolios, practical projects, and demonstrated teaching ability may also be considered.</strong></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Valleysoft is a regional IT services provider delivering enterprise application development, process management, IT support, and a broad range of technology solutions for global clients.<br> Working across the information technology and services sector, the company helps organizations solve complex business problems through practical, scalable digital solutions.<br> As a Data Scientist – Artificial Intelligence, you will help shape AI-driven solutions that turn data into business value.<br> This role is focused on applying advanced data science, machine learning, and generative AI techniques to real-world challenges, partnering closely with technical teams and business stakeholders to deliver solutions that are innovative, reliable, and aligned with business goals.<br> Responsibilities Design, develop, and deploy Machine Learning and Artificial Intelligence models to address complex business challenges.<br> Analyze large volumes of structured and unstructured data to identify trends, patterns, and actionable insights.<br> Build predictive, classification, clustering, recommendation, and forecasting models.<br> Develop and optimize Deep Learning models using modern AI frameworks.<br> Design and implement Generative AI solutions using Large Language Models (LLMs).<br> Build Retrieval-Augmented Generation (RAG) pipelines and apply Prompt Engineering techniques.<br> Perform data collection, cleansing, preprocessing, feature engineering, and exploratory data analysis (EDA).<br> Collaborate with Data Engineers and Software Engineers to build scalable AI applications and data pipelines.<br> Deploy, monitor, and maintain machine learning models using MLOps best practices.<br> Evaluate and improve model performance using appropriate statistical and machine learning metrics.<br> Work closely with business stakeholders to translate business requirements into AI-driven solutions.<br> Develop technical documentation, model documentation, and solution architecture artifacts.<br> Ensure AI solutions comply with data governance, security, privacy, and Responsible AI principles.<br> Stay current with emerging AI technologies, frameworks, and industry best practices.<br> Private Health Insurance.<br> Training &amp; Development.<br> Opportunities for professional growth and development in a cutting-edge field.<br> A collaborative and inclusive work environment.<br> The chance to work on impactful projects with a team of passionate experts.<br> Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.<br> Min 7 years of hands-on experience in Data Science, Machine Learning, or Artificial Intelligence.<br> Strong experience developing and deploying AI/ML models in enterprise environments.<br> Excellent analytical, problem-solving, and communication skills.<br> Experience working in Agile development environments.<br> Technical Skills: Programming Languages Python SQL R (Preferred) Machine Learning &amp; Data Science Scikit-learn XGBoost LightGBM Statistical Modeling Predictive Analytics Time Series Forecasting Classification &amp; Regression Clustering Recommendation Systems Feature Engineering Deep Learning TensorFlow PyTorch Keras Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) LangChain LlamaIndex AI Agents Vector Databases (FAISS, ChromaDB, Pinecone) IBM AI &amp; Data Platform IBM watsonx.<br>ai IBM watsonx.<br>data IBM watsonx.<br>governance IBM Cloud Pak for Data IBM Knowledge Catalog IBM Db2 IBM SPSS Modeler (Preferred) Data Engineering Apache Spark Hadoop Apache Kafka Apache Airflow Pandas NumPy ETL Pipelines Databases PostgreSQL Oracle Database Microsoft SQL Server MongoDB Cloud Platforms IBM Cloud Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) MLOps &amp; DevOps MLflow Docker Kubernetes Git Jenkins CI/CD Pipelines Data Visualization Power BI Tableau Matplotlib Plotly Preferred Skills Experience developing enterprise AI solutions using IBM watsonx platform.<br> Experience building AI-powered applications using LLMs and RAG architectures.<br> Knowledge of Natural Language Processing (NLP) and Computer Vision.<br> Experience with Explainable AI (XAI) and Responsible AI principles.<br> Familiarity with Data Governance and AI Governance frameworks.<br> Experience integrating AI models with REST APIs and microservices.<br> Understanding of distributed computing and Big Data technologies.<br> Experience working in Agile/Scrum teams.<br> Soft Skills Strong analytical and critical thinking skills.<br> Excellent problem-solving abilities.<br> Strong verbal and written communication skills.<br> Ability to work collaboratively within cross-functional teams.<br> Strong stakeholder management skills.<br> Ability to manage multiple priorities in a fast-paced environment.<br> Passion for innovation, continuous learning, and emerging AI technologies.<br> Preferred Certifications IBM watsonx AI Certification IBM AI Engineering Professional Certificate Microsoft Certified: Azure AI Engineer Associate AWS Certified Machine Learning – Specialty Google Professional Machine Learning Engineer Databricks Certified Machine Learning Professional</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>We are seeking passionate, forward-thinking professionals to join our dynamic software engineering team.</span><br><span>Our client is a leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies.</span><span>They specialize in technology information with more than 20 years of experience.</span></p><br><p><strong>The AI/Machine Learning Engineer</strong> is responsible for supporting the development and implementation of machine learning solutions that drive innovation across our business. Working alongside experienced engineers and domain experts, you’ll help turn data into actionable insights and contribute to models that power real-world applications.</p><br><strong>Key Accountabilities</strong><ul><li>Assist in the <strong>design and development</strong> of machine learning models to solve business problems.</li><li>Perform <strong>data cleaning, preprocessing, and exploration to</strong> prepare datasets for analysis and modeling.</li><li>Collaborate with team members to <strong>analyze data, identify patterns</strong>, and extract insights.</li><li>Support the <strong>evaluation and improvement</strong> of existing models using appropriate metrics and techniques.</li><li>Work closely with <strong>cross-functional teams</strong> (engineering, product, business) to integrate data science solutions into products and processes.</li><li>Stay current with industry tools and best practices in machine learning and data analysis.</li></ul><strong>Knowledge, Skills, and Experience</strong><p><strong>We Are Looking For:</strong></p><br><ul><li>3+ years of hands-on experience with machine learning or data analysis projects (academic or industry).</li><li>Proficiency in <strong>Python</strong> and key libraries (e.g., pandas, NumPy, scikit-learn, matplotlib).</li><li>Solid understanding of <strong>machine learning fundamentals</strong>, model evaluation, and data preprocessing.</li><li>Good problem-solving skills and a <strong>willingness to learn</strong> new tools and techniques.</li><li>Strong communication skills and the ability to work in a collaborative environment.</li></ul><p><strong>Preferred Qualifications:</strong></p><br><ul><li>Bachelor’s in Computer Science, Data Science, Statistics, or a related field.</li><li>Exposure to AWS cloud platform or deployment tools is a plus.</li><li>Familiarity with <strong>NLP tasks.</strong></li><li>Familiarity with large language models or generative AI technologies is a bonus.</li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>We are seeking passionate, forward-thinking professionals to join our dynamic software engineering team.</span><br><span>Our client is a leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies.</span><span>They specialize in technology information with more than 20 years of experience.</span></p><br><p><strong>The AI/Machine Learning Engineer</strong> is responsible for supporting the development and implementation of machine learning solutions that drive innovation across our business. Working alongside experienced engineers and domain experts, you’ll help turn data into actionable insights and contribute to models that power real-world applications.</p><br><strong>Key Accountabilities</strong><ul><li>Assist in the <strong>design and development</strong> of machine learning models to solve business problems.</li><li>Perform <strong>data cleaning, preprocessing, and exploration to</strong> prepare datasets for analysis and modeling.</li><li>Collaborate with team members to <strong>analyze data, identify patterns</strong>, and extract insights.</li><li>Support the <strong>evaluation and improvement</strong> of existing models using appropriate metrics and techniques.</li><li>Work closely with <strong>cross-functional teams</strong> (engineering, product, business) to integrate data science solutions into products and processes.</li><li>Stay current with industry tools and best practices in machine learning and data analysis.</li></ul><strong>Knowledge, Skills, and Experience</strong><p><strong>We Are Looking For:</strong></p><br><ul><li>3+ years of hands-on experience with machine learning or data analysis projects (academic or industry).</li><li>Proficiency in <strong>Python</strong> and key libraries (e.g., pandas, NumPy, scikit-learn, matplotlib).</li><li>Solid understanding of <strong>machine learning fundamentals</strong>, model evaluation, and data preprocessing.</li><li>Good problem-solving skills and a <strong>willingness to learn</strong> new tools and techniques.</li><li>Strong communication skills and the ability to work in a collaborative environment.</li></ul><p><strong>Preferred Qualifications:</strong></p><br><ul><li>Bachelor’s in Computer Science, Data Science, Statistics, or a related field.</li><li>Exposure to AWS cloud platform or deployment tools is a plus.</li><li>Familiarity with <strong>NLP tasks.</strong></li><li>Familiarity with large language models or generative AI technologies is a bonus.</li></ul> </div>

<p>We are looking for an experienced <strong>AI Engineer</strong> to design, develop, and deploy AI-powered solutions that address business needs and improve operational efficiency.</p><p><strong>Requirements</strong></p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Design, develop, and deploy <strong>AI and Machine Learning solutions</strong>.</p></li><li><p>Develop and integrate <strong>Generative AI and Large Language Models (LLMs)</strong> into business applications.</p></li><li><p>Build and optimize <strong>Machine Learning and Deep Learning models</strong>.</p></li><li><p>Work with <strong>Python, ML frameworks, APIs, and AI development tools</strong>.</p></li><li><p>Develop AI-powered applications such as <strong>chatbots, recommendation systems, automation solutions, and intelligent assistants</strong>.</p></li><li><p>Process, analyze, and prepare large datasets for AI/ML model development.</p></li><li><p>Evaluate model performance and continuously improve accuracy, reliability, and scalability.</p></li><li><p>Integrate AI models with existing enterprise systems and applications.</p></li><li><p>Collaborate with <strong>Data Scientists, Software Engineers, Product Managers, and business stakeholders</strong>.</p></li><li><p>Deploy and monitor AI solutions in production environments.</p></li><li><p>Stay up to date with the latest developments in <strong>Generative AI, LLMs, NLP, and Machine Learning</strong>.</p></li></ul><p><strong>Requirements:</strong></p><ul><li><p>Proven experience as an <strong>AI Engineer, Machine Learning Engineer, or similar role</strong>.</p></li><li><p>Strong programming skills in <strong>Python</strong>.</p></li><li><p>Hands-on experience with <strong>Machine Learning and Deep Learning</strong> frameworks such as <strong>PyTorch, TensorFlow, or Scikit-learn</strong>.</p></li><li><p>Experience with <strong>Generative AI, LLMs, Prompt Engineering, and AI APIs</strong>.</p></li><li><p>Good knowledge of <strong>NLP, embeddings, vector databases, and RAG architectures</strong>.</p></li><li><p>Experience with <strong>REST APIs, cloud platforms, and AI deployment</strong> is preferred.</p></li><li><p>Strong understanding of data structures, algorithms, and software engineering principles.</p></li><li><p>Strong analytical and problem-solving skills.</p></li></ul><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Digital Virgo is looking for a Senior Web Developer to lead the production and optimization of high-performing Landing Pages (LPs) designed for Conversion Rate Optimization (CRO). The goal is to maximize sales and margin while ensuring flawless technical execution (speed, stability, compatibility) and continuous marketing iteration (A/B testing, UX flow, wording). You will organize and grow the local MarTech team, manage workflows with autonomy, and serve as a central interface between regional and group stakeholders. Key Responsibilities Product &amp; Delivery Prioritize, plan, and deliver new LPs, variants, and market/operator adaptations with fast time-to-market and stable quality. Build and maintain a CRO experimentation backlog: hypotheses, variants, success criteria, A/B testing calendar. Standardize winning UX patterns into reusable templates, components, and QA checklists. Technical Excellence (Performance &amp; Quality) Guarantee ultra-light, high-performing pages (minimal weight, optimized requests), fully responsive and cross-device. Organize code reviews, systematic QA (functional + analytics), post-mortems, and incident follow-ups. Stay up-to-date on technical innovations (web performance, operator compatibility, security, antifraud) and benchmark competitors. CRO &amp; Data-Driven Optimization Design and execute A/B tests at scale, analyze results with the Data team, and industrialize winning variations. Continuously optimize copywriting, visual hierarchy, micro-interactions, and payment/consent funnels. Build actionable performance dashboards (per country, offer, acquisition source). Team Management &amp; Development Provide structure and clarity: rituals (daily/weekly), objectives, ownership rules, definition of done. Coach and develop team members: skill progression, peer programming, knowledge sharing. Select and manage external providers when needed (peak workloads, design, illustrations). Governance &amp; Communication Act as the daily interface with Advertising (traffic needs, iterations), Product (post-signup handoff), IT (billing, operator specs), BizOps (country priorities), and Data (tracking, modeling). Provide regular reporting to the Regional Operations Director (business) and the MarTech Director (methodology, standards, best practices). Success Metrics (Examples) 4 CRO experiments per month on each priority country. Median CR uplift on key verticals vs. baseline: +X% (to be defined per market). Web performance: LCP p75 Quality: Delivery: average turnaround from brief first LP iteration 5 working days. Knowledge capitalization: updated templates and playbooks with inter-country reusability.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Experienced web developer oriented towards CRO/Business, able to lead a team and drive iterative delivery. 8-10 years of overall professional experience, with at least three years of proven experience leading and managing a team. Proficient in vanilla JS, HTML5/CSS3, PHP, with knowledge of Memcached and API/AJAX calls. Strong expertise in web performance optimization (network, rendering, minimal bundling). Solid understanding of A/B testing and analytics (ideally Snowplow) with ability to interpret acquisition KPIs. Pragmatic leadership: sets the pace, makes decisions, documents, and drives alignment. Strong cross-functional communication, results-oriented, and highly autonomous.</p><p></p></section>

As an AI & Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals. This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br><br>Responsibilities<br><br>Develop and implement AI and data-driven solutions to support business objectives Analyze large datasets to extract actionable insights and support decision-making Design and build machine learning models and algorithms tailored to company projects Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows Stay current with the latest advances in AI, machine learning, and data science technologies Support data governance, data quality, and ethical AI practices within the organization<br><br>Requirements<br><br>Bachelor's degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field Basic knowledge of machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn (academic or personal projects are a plus) Good programming skills in Python and familiarity with data processing libraries (such as Pandas and Num Py) Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows Experience working in Agile-style delivery Eligible to work in Egypt Experience with version control using Git is a plus Completion of solid AI, machine learning, or data projects is a plus<br><br>Benefits<br><br>A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within Continuous feedback: We don't wait for annual reviews — we believe in real-time coaching and development Supportive & collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team A space for every personality: Love socializing? You'll thrive in our lively environment where conversation and connection are key. Prefer quiet focus? We've got dedicated Focus Rooms perfect for deep work

As an AI & Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals. This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br><br>Responsibilities<br><br>Develop and implement AI and data-driven solutions to support business objectives Analyze large datasets to extract actionable insights and support decision-making Design and build machine learning models and algorithms tailored to company projects Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows Stay current with the latest advances in AI, machine learning, and data science technologies Support data governance, data quality, and ethical AI practices within the organization<br><br>Requirements<br><br>Bachelor's degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field Basic knowledge of machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn (academic or personal projects are a plus) Good programming skills in Python and familiarity with data processing libraries (such as Pandas and Num Py) Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows Experience working in Agile-style delivery Eligible to work in Egypt Experience with version control using Git is a plus Completion of solid AI, machine learning, or data projects is a plus<br><br>Benefits<br><br>A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within Continuous feedback: We don't wait for annual reviews — we believe in real-time coaching and development Supportive & collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team A space for every personality: Love socializing? You'll thrive in our lively environment where conversation and connection are key. Prefer quiet focus? We've got dedicated Focus Rooms perfect for deep work

<p>Inspect, pull, and stack cleaned items, send soiled items back for re-scrubbing and re-washing. Ensure water temperature, and chemical levels are appropriate to run the dishwashing machine, and complete proper documentation. Ensure clean wares are stored in appropriate areas. Clean the dishwashing machine, including removing trash and spraying the inside of the machine, cleaning and unclogging the spray arms and jets, cleaning the outer surfaces of the machine and troubleshoot dishwasher malfunctions as required. Work with employees working on all shifts in order to distribute duties. Actively take part in all operations and ensure that operations are carried out seamlessly. Monitor the buffet preparation equipment and hand them over to the buffet attendant fully functional. Assist his/her seniors and assume the full responsibility of the department in their absence. Control the entry/exit and break hours of employees. Control the washing cycle of the dishwasher to ensure that the proper cycle is used and correct it, if necessary. Handle requests placed by juniors and, when necessary, report them to his/her seniors. Control garbage collection and the garbage areas and ensure that the necessary arrangements are made. Take part in the Emergency Response Teams. To implement necessary warnings and departmental trainings in order to save energy inside the facility. Implement his responsibilities in order to eliminate and collect waste in a proper way, reduce environmental pollution and harmful effects to the environment. Carry out all responsibilities related to the quality management and food safety management systems implemented at the facilities. Carry out all other duties assigned by managers and hotel management not specified in the job description.</p><p><strong>Desired Candidate Profile</strong></p>Qualifications <div> <ol> <li> <ol> <li>Inspect, pull, and stack cleaned items, send soiled items back for re-scrubbing and re-washing.</li> <li>Ensure water temperature, and chemical levels are appropriate to run the dishwashing machine, and complete proper documentation.</li> <li>Ensure clean wares are stored in appropriate areas.</li> <li>Clean the dishwashing machine, including removing trash and spraying the inside of the machine, cleaning and unclogging the spray arms and jets, cleaning the outer surfaces of the machine and troubleshoot dishwasher malfunctions as required.</li> <li>Work with employees working on all shifts in order to distribute duties.</li> <li>Actively take part in all operations and ensure that operations are carried out seamlessly.</li> <li>Monitor the buffet preparation equipment and hand them over to the buffet attendant fully functional.</li> <li>Assist his/her seniors and assume the full responsibility of the department in their absence.</li> <li>Control the entry/exit and break hours of employees.</li> <li>Control the washing cycle of the dishwasher to ensure that the proper cycle is used and correct it, if necessary.</li> <li>Handle requests placed by juniors and, when necessary, report them to his/her seniors.</li> <li>Control garbage collection and the garbage areas and ensure that the necessary arrangements are made.</li> <li>Take part in the Emergency Response Teams.</li> <li>To implement necessary warnings and departmental trainings in order to save energy inside the facility. </li> <li>Implement his responsibilities in order to eliminate and collect waste in a proper way, reduce environmental pollution and harmful effects to the environment.</li> <li>Carry out all responsibilities related to the quality management and food safety management systems implemented at the facilities.</li> <li>Carry out all other duties assigned by managers and hotel management not specified in the job description.</li> </ol> </li> </ol> <p> </p></div>

Location: Cairo, Egypt Millvex is looking for a motivated Sales Executive to join our team.<br>Job Responsibilities:Visit assigned industrial areas to promote and sell CNC machine tools and spare parts. Build and maintain strong relationships with new and existing customers. Identify customer needs and provide suitable solutions. Follow up on quotations, negotiations, and closing sales. Achieve monthly sales targets and prepare regular sales reports. Requirements:Previous sales experience in CNC machines, machine tools, or industrial equipment is highly preferred. Good knowledge of CNC machines and spare parts. Strong communication and negotiation skills. Self-motivated with the ability to work independently. Owns a private car (required). Working Hours:9:00 AM – 5:00 PMFriday is off. Salary & Benefits:Salary: EGP 10,000 – 15,000 (based on experience). Attractive commission scheme. Career growth opportunities. Supportive and professional work environment. If you have experience in CNC sales and are looking for your next career opportunity, we'd love to hear from you.doaa.atef@dura-light.com

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Under direct supervision, performs Job Safety Analysis (JSA) and safety meetings, and the rigging up and down of Coil Tubing service line equipment. Assembles and prepares equipment for installation and service. Assists in the running of a job. Maintains general housekeeping, clean up, repair, and preparation of equipment for the next job. Performs pre/post job Coiled Tubing equipment inspections. Responsible for safe crane and rigging operations during the delivery of services in accordance with Customer&amp;aposs design and KPI&amp;aposs. Operates High Pressure fluid pump and coil tubing support equipment (flow back package). Performs hydrostatic testing on Blow Out Prevention (BOP) and reels during pre/post job procedures including Preventative Maintenance (PM&amp;aposs). Mentors peers and trains Operator Assistants. Monitors well control parameters and calculations before and during job applications. Performs and complete preventative maintenance on all Coil Tubing associated equipment. Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations. Consequences of error are easily measured and can be confined. Drives a truck or other assigned equipment as required. Product Service Line (PSL) specific equipment/job skills required. Must have completed essential math, red book and Coil Tubing I training. Given the nature of oil field service work, must possess good interpersonal skills and the ability to communicate effectively with others is necessary. Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations. Consequences of error are easily measured and can be confined. Skills are typically acquired through 6 months of experience as an Operator Asst-Coil Tubing, II. The ability to perform basic mathematical calculations is required. Basic reading comprehension and writing skills are required. Basic computer skills are preferred. Licensure to drive commercial vehicles may be required. Promotes safety awareness and environmental consciousness, and complies with all applicable safety and environmental procedures and regulations. Ensures compliance with Health, Safety, and Environmental (HSE) regulations and guidelines. Promotes and takes an active part in the Quality Improvement Process.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Skills : Coil Tubing<br>Education : High School/Secondary<br>Employment Type : Full Time Salaried Employee<br>We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry.<br>Skills typically acquired through completion of high school diploma or similar education and typically 6 months experience as Operator Assistant ll. May require a valid Commercial Driver&amp;aposs License. Product Service Line (PSL) specific equipment/job skills required. Must have completed essential math, red book and Coil Tubing I training. Given the nature of oil field service work, must possess good interpersonal skills and the ability to communicate effectively with others is necessary. Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations. Consequences of error are easily measured and can be confined. Skills are typically acquired through 6 months of experience as an Operator Asst-Coil Tubing, II. The ability to perform basic mathematical calculations is required. Basic reading comprehension and writing skills are required. Basic computer skills are preferred. Licensure to drive commercial vehicles may be required.</p><p></p></section>

<ul><li><p>We are hiring</p></li><li><p>Job Opportunity: Junior Tour Operator (Incoming Tourism)</p></li><li><p>A leading travel agency located in downtown , Cairo is seeking a detail-oriented and motivated <strong>Tour Operator</strong> to join our growing team. If you have a passion for travel, a knack for creating memorable experiences, and a background in incoming tourism, we would love to hear from you.</p></li><li><p> Key Responsibilities</p></li><li><p> Design, customize, and tailor comprehensive tour packages and travel itineraries based on client preferences.</p></li><li><p> Manage operations for incoming tourism, ensuring seamless execution of travel arrangements.</p></li></ul><ul><li><p> Communicate effectively with international B2B clients and partners to deliver high-quality customer service.</p></li></ul><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p> Required Qualifications &amp; Skills</p></li><li><p> Experience:1–2 years of proven experience in incoming tourism.</p></li><li><p> Language:Good command of written and spoken English ( Japanese is an advantage)</p></li><li><p> Skills:Strong ability to design creative and cost-effective travel itineraries.</p></li><li><p> Location:Must be a current resident of Cairo,</p></li></ul><p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>Envision Employment Solutions</strong> is currently looking for a<strong> Senior Data Scientist - AI &amp; ML Engineer </strong>for one of our partners, a global leader in <strong>consulting, digital transformation, technology and engineering services!</strong> </p> <p> </p> <p> <strong>About:</strong> </p> <p>The <strong>Senior Data Scientist - AI &amp; ML Engineer </strong>will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.</p> <p> </p> <p> <strong>Responsibilities:</strong> </p> <p> <strong>AI &amp; Machine Learning Development</strong> </p> <ul> <li> Design, develop, and deploy AI and machine learning solutions that address business needs. </li> <li> Build and implement Agentic AI applications using modern AI frameworks. </li> <li> Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring. </li> <li> Optimize models to improve accuracy, scalability, and performance in production environments. </li> <li> Implement model monitoring, drift detection, and retraining strategies. </li> </ul> <p> <strong>Data Engineering &amp; MLOps</strong> </p> <ul> <li> Design scalable data pipelines to support machine learning workloads. </li> <li> Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage. </li> <li> Develop and maintain ML-focused CI/CD pipelines. </li> <li> Implement model versioning, automated testing, and deployment best practices. </li> <li> Support containerized and cloud-native ML deployments. </li> </ul> <p> <strong>Cloud &amp; Solution Architecture</strong> </p> <ul> <li> Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP. </li> <li> Architect scalable infrastructure to support enterprise AI applications. </li> <li> Recommend technology solutions aligned with business and technical requirements. </li> <li> Ensure AI solutions meet security, reliability, and performance standards. </li> </ul> <p> <strong>Collaboration &amp; Leadership</strong> </p> <ul> <li> Partner with business stakeholders to understand objectives and translate them into technical solutions. </li> <li> Collaborate with cross-functional teams throughout the solution lifecycle. </li> <li> Mentor junior data scientists and ML engineers. </li> <li> Promote best practices in machine learning, software engineering, and MLOps. </li> <li> Stay informed about emerging AI technologies and industry trends.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li>6-10 years of experience working with complex datasets and solving real-world business problems using AI</li> <li>Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.</li> <li>Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).</li> <li>Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li> <li>Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.</li> <li>Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).</li> <li>Strong command of Git and collaborative development workflows.</li> <li>Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.</li> <li>Fluent in Arabic &amp; English, both spoken and written (German is a plus!)</li> <li>Able to listen to and understand customer needs and articulate them as technical requirements to the team.</li> <li>Strong problem-solving abilities and attention to detail.</li> <li>Strategic thinking with the ability to align data science initiatives with business objectives.</li> <li>Strong leadership and team management skills with the ability to inspire and motivate.</li> <li>Ability to work collaboratively in a team environment.</li> <li>Self-motivated with a strong growth mindset. </li> </ul><p></p></section>

Job Description<br>Read and Collect machine condition information from production and mechanical department log book Distribution of maintenance work to mechanic according to priority Motivation and Training of technicians for safety, discipline, performance & maintenance cost reduction Daily visual check of all running equipments and machine Breakdown job supervision Follow up shop floor maintenance job's Follow up Preventive maintenance check list, vibration and SPM reports Incoming spare parts inspection for approval Prepare minimum spares stock list, prepare PRF to maintain minimum spares stock in stores Follow up critical spares with purchase department Register all breakdown problems and study to avoid in future Collecting and registering all of technical specification and spares information for the machines Register pending job's, prepare monthly shut plane and execute the same Study development issues for better run ability of machines and to reduce down time New modification job's planning and execution Study to develop spares locally to reduce the maintenance cost Monitoring the history card of every critical machines Documentation of critical papers like received copy, technical specification sheet for every equipment, P. O copy etc,preparation and follow up of annual maintenance plancommunication with department manager and other colleagues <br>Job Requirements Bachelor of Mechanical Power engineering Experience not less than 3 years in maintenance Background of paper industry or heavy industry Very good command of English Menofia Residents only

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b><br></b></p><p><b>Your Tasks would include :</b></p><ul><li><b>Client Engagement:</b> Engage with clients to understand their pain points and requirements. Communicate solutions/propositions effectively back to client/team.</li><li><b>Data analysis and pre-processing:</b> Collect and clean large datasets for machine learning projects. Explore data to identify patterns, anomalies, and potential insights. Pre-process data, including feature engineering and normalization.</li><li><b>Algorithm Development:</b> Design, develop, and implement machine learning algorithms. Experience with various machine learning models and techniques. Optimize algorithms for accuracy, efficiency, and scalability.</li><li><b>Model Training and Evaluation:</b> Train machine learning models using collected data. Perform testing to validate models. Evaluate model performance using appropriate metrics and techniques. Fine-tune models to improve predictive accuracy.</li><li><b>Data Visualization:</b> Create informative data visualizations to communicate insights effectively. Work with visualization libraries like Matplotlib, Seaborn, or data visualization software s like Tableau and Power BI.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.</p><p><b>Essentials:</b></p><ul><li>Bachelor s degree in computer engineering or equivalent</li><li>3-7 years of experience in Data Science and AI/ML</li><li><b>Technical Expertise:</b> Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.</li><li><b>Data proficiency:</b> Proficient in data collection, pre-processing, and analysis.</li><li><b>Model Mastery:</b> Proven experience in developing and fine-tuning machine learning models.</li></ul><p><b>Desirables :</b></p><ul><li>Familiarity with deploying ML frameworks in industry.</li><li>A strong interest in staying abreast of the latest AI/ML advancements.</li><li><b>Project Leadership:</b> Previous experience leading AI/ML initiatives.</li></ul><p></p></section>

<p><strong>About the Role</strong></p><p>We are seeking a motivated Automation Engineer to join our Industrial Development team. The role offers hands-on involvement in industrial automation, machine development, control systems, and continuous improvement, with exposure to modern and technically challenging automation technologies.</p><p>The engineer will contribute to the development of new automation solutions as well as the improvement of existing systems, working closely with a multidisciplinary team to deliver reliable, efficient, and innovative solutions that meet operational requirements.</p><p><strong>Key Responsibilities</strong></p><ul><li><p>Develop and execute industrial automation projects and build complete control systems for industrial machines, covering PLC, HMI, SCADA, electrical/control architecture, and industrial communication systems.</p></li><li><p>Take responsibility for the different stages of automation projects, including concept development, electrical/control design, programming, machine construction, installation, commissioning, testing, troubleshooting, and final validation.</p></li><li><p>Develop and review electrical control and wiring diagrams, and support the integration of electrical panels, sensors, actuators, motors, drives, instrumentation, and other control components.</p></li><li><p>Modify, troubleshoot, optimize, and improve existing control systems and automation solutions, identifying technical challenges and developing practical and innovative solutions to enhance performance, reliability, efficiency, and functionality.</p></li><li><p>Identify opportunities for automation, process improvement, and technical innovation, and translate them into effective engineering solutions.</p></li><li><p>Support the integration, programming, and commissioning of industrial robotics, motion control, vision systems, and other advanced automation technologies where applicable.</p></li><li><p>Ensure machine and automation solutions comply with applicable electrical, machine safety, and industrial safety standards.</p></li><li><p>Prepare and maintain technical documentation, including electrical drawings, I/O lists, software documentation, machine documentation, and project records.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Bachelor’s degree in electrical engineering, Mechatronics, or a related field.</p></li><li><p>2–4 years of experience working in an industrial environment with control systems.</p></li><li><p>Strong knowledge of Siemens PLC programming TIA portal and automation systems.</p></li><li><p>Good understanding of industrial electrical systems, control circuits, sensors, actuators, drives, motors, instrumentation, and electrical panels.</p></li><li><p>Experience with AutoCAD for electrical and control system design.</p></li><li><p>Good understanding of industrial communication and networking.</p></li><li><p>Knowledge of machine safety principles and applicable safety standards.</p></li><li><p>Familiarity with safety devices and safety-related control systems used in industrial machines.</p></li><li><p>Basic to intermediate knowledge of industrial robotics, including operation, programming, integration, and troubleshooting.</p></li><li><p>Understanding of motion control, variable speed drives, encoders, conveyors, and industrial instrumentation is an advantage.</p></li><li><p>Ability to read, understand, and develop electrical schematics, control diagrams, and technical documentation.</p></li><li><p>Strong analytical and problem-solving skills with a self-learning and continuous-improvement mindset.</p></li><li><p>Ability to work independently as well as effectively within a multidisciplinary engineering team.</p></li><li><p>Good communication and technical documentation skills.</p></li><li><p>Fluency in English is required; proficiency in French is considered an advantage.</p></li></ul><p></p>

???? Join Pyramid Glass Team and Make a Difference!???? Pyramid Glass is hiring a Senior Production Engineer to join our growing team and lead production operations with efficiency and excellence.???? Location: Alexandria – Borg El Arab<br>Key Responsibilities:Oversee daily production operations and ensure smooth workflow across all lines Supervise technicians and supervisors to achieve production targets Minimize machine downtime and reduce changeover time between models Coordinate with maintenance, molds, and machining departments Improve machine efficiency and increase productivity rates Ensure products meet quality standards and specifications Reduce material waste and optimize production output Ensure availability of spare parts and follow up on preventive maintenance Read and interpret machine manuals and technical drawings Collaborate closely with Quality team to ensure consistent performance Prepare technical reports for each shift (including breakdowns and downtime analysis) Conduct regular inspections across production departments <br> Requirements:Bachelor’s degree in Engineering (Mechanical / Industrial or relevant)6–8 years of experience in manufacturing Previous experience in Glass or Plastic industry is a MUSTStrong leadership and team management skills Solid technical background in production processes and machinery Problem-solving and continuous improvement mindset <br>What We Offer:Competitive salary Monthly incentives Medical & Social & Life insurance Career growth opportunities