Machine operator Jobs
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Company Description<br><br>With its stunning location at Sharm El Sheikh, Rixos Premium Seagate offers a luxurious retreat overlooking the shimmering red sea. The hotel offers an All-Inclusive concept combining exceptional restaurants and bars, top-class entertainment venues that also provide a variety of dining experiences and superb wellness and sports facilities. Rixos Premium Seagate offers stylish rooms and suites with direct access to the private beach, and state-of-the-art conference and banquet venues.<br><br>A beautiful beach, delicious food with top-quality service restaurants with luxurious buffets, pools, Rixy Club exclusively for children and live entertainment all await your ultimate holiday experience.<br><br>Rixos Premium Seagate is located 18 km from Naama Bay, 25 km from the old market of Sharm El-Sheikh and 9 km from Sharm El-Sheikh<br><br>Job Description<br><br> 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<br><br>Qualifications<br><br> Education: At least a primary school diploma. Experience: At least 3 years of related work experience or 1 year of work experience in a lower position and experience with applying the main principles and/or different methods. Foreign Language: Not required. Courses and Training: Prior attendance in trainings in the related field. Computer Literacy: Not required Skills: Expected to possess advanced level of knowledge of standard work routines and general kitchen rules. Expected to perform simple, specific and standard tasks that are generally repetitive.
About us:Elsewedy Electric: Powering Progress, Empowering People.<br>For over 80 years, Elsewedy Electric has been a leading manufacturer of electrical products and solutions, operating in 19 countries with over 18,000 employees. We offer a diverse range of products across wire & cable, electrical equipment, engineering & construction, digital solutions, and infrastructure investments. Beyond our manufacturing prowess, we're passionate about creating a positive and empowering work environment for our team. We foster a culture of diversity, inclusion, and continuous learning, providing opportunities for professional development and career growth. Our commitment to employee well-being extends beyond compensation with initiatives promoting work-life balance and overall well-being. Join us and be part of a company that's not just powering progress, but empowering people to build a brighter future.<br>This job opportunity is offered by ELSEWEDY ELECTRIC Graduate Development Program The program is designed for Graduates with 0-2 years' of experience. The program offers various job rotations, mentorships, coaching & trainings.<br>Job Responsibilities:Comply with HSE requirements and maintain a safe working environment ensuring all company and regulatory standards are achieved at all times. Adherence to implement 5S & Lean projects and instructions. Ensure production discipline 24/7 three shifts and ensure that production meets quality and delivery requirements, while staying within budgetary constraints. Coordinate the monthly output plan with the planning department to maximize the operating efficiency & monthly output. Execute the production plan according to the Standard operating procedures for every process. Evaluate and optimize production workflows, material usage, and machine setups to maximize output and minimize downtime. Coordinate & review the weekly machine loading plan and the approved designs of production plan. Optimize overall production costs, productivity & OEE. Ensure all plant and equipment operates in accordance with required standards Contribute and driving continuous improvement of production resources “Manpower, Machine & Materials”. Diagnose origin of breakdowns (including human error), troubleshoot problems & take needed corrective actions in any Non Conformity case in product, machine & material. Develop and implement production processes for new products, process & material. Supervise the direct reports for executing the production output and ensure that the production processes are done properly. Review processing schedules and production orders to make decisions concerning inventory requirements, staffing requirements, work procedures, and duty assignments Establish productive, dynamic, working relationships with the Engineering, Quality, Design and Planning departments, prioritizing the required work and maintaining regular associations through meetings and communications to discuss any issues Scheduling jobs with maximum manpower utilization & resources to achieve production target in coordination with Planning Dept. & Plant Manager. Estimate manpower requirements, production times, material requirements, and relative costs to provide data for operational decisions Prepare a daily production report to be approved by the production manager to be sent to the production planning department Provide technical training time to time to subordinates to develop their skills. Responsible for the proper upkeep of all records as per ISO procedures.<br>Job Qualifications:Education: B. Sc. of Electrical Engineering, Mechanical Production or Production Engineering. Years of Experience: 0-2 years. Language: Arabic & English Computer skills: Microsoft office
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<span>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.<br> 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> Responsibilities Develop and implement AI and data-driven solutions to support business objectives.<br> Analyze large datasets to extract actionable insights and support decision-making.<br> Design and build machine learning models and algorithms tailored to company projects.<br> Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.<br> Stay current with the latest advances in AI, machine learning, and data science technologies.<br> Support data governance, data quality, and ethical AI practices within the organization.<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.<br> Continuous feedback: We don’t wait for annual reviews — we believe in real-time coaching and development.<br> Supportive & collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team.<br> A space for every personality: Love socializing?<br> You’ll thrive in our lively environment where conversation and connection are key.<br> Prefer quiet focus?<br> We’ve got dedicated Focus Rooms perfect for deep work.<br> Bachelor’s degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Basic knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn (academic or personal projects are a plus).<br> Good programming skills in Python and familiarity with data processing libraries (such as Pandas and NumPy).<br> 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.<br> Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows.<br> Experience working in Agile-style delivery.<br> Eligible to work in Egypt.<br> Experience with version control using Git is a plus.<br> Completion of solid AI, machine learning, or data projects is a plus.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Job Description: MLOps & AI Platform Engineer Job Title: MLOps & AI Platform Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are seeking a skilled MLOps & AI Platform Engineer with 3 11 years of experience to build, automate, and manage scalable machine learning platforms and production AI environments. The ideal candidate will have hands-on expertise in MLOps, Kubernetes, cloud-native AI infrastructure, CI/CD automation, and model lifecycle management. You will be responsible for enabling data scientists and AI engineers to efficiently develop, deploy, monitor, and maintain machine learning models at scale. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and AI infrastructure. Develop and automate end-to-end machine learning pipelines for training, validation, deployment, and monitoring. Implement model versioning, experiment tracking, and model registry solutions. Build scalable CI/CD pipelines for AI/ML workloads. Deploy and manage machine learning workloads on Kubernetes-based environments. Collaborate with Data Scientists, AI Engineers, Data Engineers, and DevOps teams to operationalize ML solutions. Implement Infrastructure as Code (IaC) for cloud-native AI platforms. Monitor platform health, model performance, and infrastructure availability. Ensure platform security, scalability, reliability, and operational excellence. Troubleshoot production issues and continuously optimize platform performance. Required Technical Skills MLOps Platforms Hands-on experience with Kubeflow or Vertex AI Pipelines or SageMaker Pipelines . Strong experience with MLflow for experiment tracking, model registry, and lifecycle management. Experience orchestrating machine learning workflows using Apache Airflow . Containerization & Orchestration Strong expertise in Kubernetes (GKE or AKS or EKS) . Experience deploying and managing containerized AI/ML workloads in cloud environments. Infrastructure Automation Hands-on experience with Terraform for Infrastructure as Code (IaC). Experience automating infrastructure provisioning and cloud resource management. CI/CD & DevOps Experience with GitHub Actions for CI/CD automation. Knowledge of DevOps best practices, Git workflows, and automated deployments. Monitoring & Observability Experience using Prometheus for infrastructure and application monitoring. Knowledge of logging, alerting, and performance monitoring for AI platforms. Qualifications Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field. 3 11 years of professional experience in MLOps, DevOps, Platform Engineering, Cloud Engineering, or AI Infrastructure. Strong scripting and automation skills using Python, Bash, or similar languages. Excellent analytical and problem-solving skills. Experience working in Agile/Scrum environments. Preferred Skills Experience with Docker and containerized application deployment. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Familiarity with model monitoring, drift detection, and automated retraining pipelines. Experience implementing security best practices for AI/ML platforms. Cloud and Kubernetes certifications are a plus. Key Technology Stack MLOps Platforms: Kubeflow or Vertex AI Pipelines or SageMaker Pipelines Workflow Orchestration: Apache Airflow and MLflow Container Orchestration: Kubernetes (GKE or AKS or EKS) Infrastructure as Code: Terraform CI/CD: GitHub Actions Monitoring: Prometheus Cloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred) Automation: Python and Bash (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field. 3 11 years of professional experience in MLOps, DevOps, Platform Engineering, Cloud Engineering, or AI Infrastructure. Strong scripting and automation skills using Python, Bash, or similar languages. Excellent analytical and problem-solving skills. Experience working in Agile/Scrum environments.</p><p>Preferred Skills Experience with Docker and containerized application deployment. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Familiarity with model monitoring, drift detection, and automated retraining pipelines. Experience implementing security best practices for AI/ML platforms. Cloud and Kubernetes certifications are a plus.</p><p></p></section>
<p>The AV&L Show Operator is responsible for the daily operation, pre-show preparation, preventive maintenance, and technical execution of integrated Audio, Video, Lighting (AV&L), and Show-Control systems. This role ensures smooth nightly show performances, supports external site events, supervises field operations assistants, and maintains high standards of technical reliability and site safety.</p><p>Key Responsibilities:</p><p>1. Nightly Show Operations & Cue Execution</p><ul><li>Show Control: Operate multi-discipline systems (audio routing, video/media servers, projectors, architectural/moving lighting, DMX networks, timecode, and communications) per approved scripts, cues, and timelines.</li><li>Live System Monitoring: Continuously monitor critical systems during rehearsals and live performances; respond swiftly to technical irregularities to preserve show quality and safety.</li><li>Independent Execution: Step in to run the complete show independently or substitute for the Senior Operator as needed.</li><li>Shutdown Protocols: Execute approved post-show system shutdown and securing procedures.</li></ul><p>2. Pre-Show Preparation & Enclosure Oversight</p><ul><li>System Verification: Perform and document daily pre-show inspections across all AV&L equipment, ensuring required files, presets, routing configurations, and backups are correctly loaded.</li><li>Enclosure Supervision: Direct operations assistants during the opening and closing of moving-head, lighting, and projection enclosures, verifying proper timing, ventilation, drainage, and weatherization.</li><li>Immediate Escalation: Report operational issues or safety hazards immediately and coordinate corrective actions with technical leads or suppliers.</li></ul><p>3. Preventive Maintenance & Basic Troubleshooting</p><ul><li>Routine Maintenance: Participate in daily, weekly, monthly, and periodic preventive maintenance schedules.</li><li>Field Inspections: Regularly inspect hardware for faults, overheating, corrosion, dust/moisture ingress, damaged cables, or error codes.</li><li>First-Level Troubleshooting: Identify signal flow issues, check connections, power-cycle systems safely, load contingent configurations, and swap basic peripherals without making unauthorized system changes.</li><li>Vendor & Repair Support: Support specialist vendors during updates or repairs; test repaired equipment before re-integrating it into live production.</li></ul><p>4. Status Reporting, Shift Handovers & Team Leadership</p><ul><li>System Logging: Maintain daily show logs, pre-/post-show checklists, incident reports, and hardware status updates (active faults, temporary workarounds, and pending maintenance).</li><li>Alternate Team Leadership: Act as the on-duty team leader when assigned, directing systems technicians, power infrastructure technicians, and operations assistants prior to audience admission.</li><li>Cross-Departmental Alignment: Communicate effectively with site operations, security, and production teams, providing detailed shift handovers until all outstanding issues are resolved.</li></ul><p>5. Special Events & Infrastructure Restoration</p><ul><li>Event Facilitation: Serve as technical lead and backup operator for corporate functions, private events, VIP visits, and external productions outside regular show schedules.</li><li>System Safeguarding: Ensure temporary event setups do not compromise the integrity, security, or safety of the primary show infrastructure.</li><li>Post-Event Teardown & Reset: Supervise dismantling of temporary gear, restore original signal patching, settings, and show files, and perform full system test-runs before the next scheduled performance.</li></ul><p>6. Translation System & General Safety</p><ul><li>Discipline Translation Support: Conduct operational checks on translation channels, audio routing, receivers, and charging stations.</li><li>Safety & Standards: Maintain clean, organized technical areas, strictly observe site safety protocols, and stop any activity that poses a risk to personnel or equipment.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>1-3 years of experience in Engineering, Media Technology, Sound/Lighting, IT/Networks, or related fields.</p><p>Bachelor's Degree or Technical Diploma in Electrical, Electronics, Communications, Computer Engineering, Media Technology, Theatre Technology, or a related field.</p><p>Practical experience gained through live events, theatre operations, broadcast, AV integration, theme parks, or relevant university/freelance projects is highly desirable.</p><p>Very good command of English, both spoken and written, to ensure clear communication in a technical and operational environment.</p>
<p><strong>Unleash Your Potential as a Central Control Unit Operator in Giza, Egypt!</strong></p><p>Are you ready to be at the heart of critical IT operations? We're searching for a dynamic and meticulous <strong>Central Control Unit Operator</strong> to join our innovative team in Giza. This is a thrilling opportunity to play a pivotal role in maintaining the stability and performance of our cutting-edge systems, ensuring seamless operation and immediate response to any challenges.</p><ul><li><strong>Overview:</strong> As a Central Control Unit Operator, you will be the vigilant eye and proactive hand overseeing our central systems. Your expertise will guarantee the continuous and efficient functioning of our IT infrastructure, directly contributing to our operational excellence.</li><li><strong>Responsibilities:</strong><ul><li><strong>Monitor and control</strong> various IT systems and applications from a central control unit.</li><li><strong>Identify and respond</strong> to system alerts, errors, and performance issues in real-time.</li><li><strong>Execute routine system checks</strong> and maintenance procedures.</li><li><strong>Perform initial troubleshooting</strong> and escalate complex issues to appropriate technical teams.</li><li><strong>Document all incidents</strong>, actions taken, and resolutions thoroughly.</li><li><strong>Collaborate effectively</strong> with engineering and support teams to ensure rapid problem resolution.</li><li><strong>Contribute to the improvement</strong> of monitoring tools and operational procedures.</li></ul></li><li><strong>Skills & Technologies:</strong> This role demands a solid foundation in <strong>Computer Science</strong>, <strong>Information Technology (IT)</strong>, and <strong>Software Engineering principles</strong>. You'll leverage your proficiency in <strong>Unit Testing</strong> concepts to understand system behaviors, alongside practical skills in <strong>System Monitoring</strong>, <strong>Troubleshooting</strong>, and potentially <strong>Scripting</strong> for automation.</li><li><strong>Growth Opportunities:</strong> We are committed to your professional development. This role offers a clear pathway for growth into more specialized IT operations, system administration, or even software development roles, as you deepen your expertise in critical system management and incident response.</li><li><strong>Team & Culture:</strong> Join a collaborative and supportive team that values precision, proactive problem-solving, and continuous learning. We foster an environment where your contributions are recognized, and your professional growth is encouraged.</li><li><strong>Impact:</strong> Your work will have a direct and significant impact on our daily operations, ensuring the reliability and availability of essential services. You will be instrumental in maintaining the stability that underpins our success, making a tangible difference every single day.</li></ul><p>This is an <strong>on-site</strong> full-time position located in the vibrant city of Giza, Egypt, offering a unique opportunity to grow your career within a leading IT/Software Development environment.</p><p><strong>Requirements</strong></p><ul><li><strong>Educational Background:</strong> A strong academic foundation in <strong>Computer Science</strong>, <strong>Information Technology (IT)</strong>, or <strong>Software Engineering</strong> is highly valued.</li><li><strong>Experience Requirements:</strong> We are seeking candidates with <strong>2-3 years of hands-on experience</strong> in IT operations, system monitoring, or a related technical support role.</li><li><strong>Essential Skills:</strong><ul><li>Proficiency in <strong>System Monitoring</strong> tools and methodologies.</li><li>Solid understanding of <strong>Computer Science</strong> and <strong>Information Technology (IT)</strong> fundamentals.</li><li>Experience with <strong>Software Engineering</strong> principles, particularly concerning system reliability and performance.</li><li>Familiarity with <strong>Unit Testing</strong> concepts and their application in understanding system integrity.</li><li>Demonstrated ability in <strong>Problem Solving</strong> and <strong>Troubleshooting</strong> technical issues effectively.</li><li>Basic knowledge of <strong>Networking Fundamentals</strong>.</li><li>Excellent <strong>Attention to Detail</strong> and strong <strong>Critical Thinking</strong> skills.</li><li>Strong <strong>Communication</strong> skills for technical reporting and team collaboration.</li><li>Ability to work efficiently using <strong>Command Line Interface (CLI)</strong> tools.</li></ul></li><li><strong>Career Level Expectations:</strong> This role is ideal for a dedicated professional ready to take on significant responsibility in managing critical IT infrastructure, demonstrating a proactive approach and a keen desire for continuous learning and improvement.</li></ul>
<ul><li>Troubleshoot machine breakdowns and provide preventive maintenance services.</li><li>Implement annual maintenance plan for production lines.</li><li>Prepares job plans for the execution team with an efficient utilization of available resources.</li><li>Prepare monthly and annual reports, new machinery reports, and major breakdowns.</li><li>Record all problems and their solutions in the machine log.</li><li>Follow the ISO procedures of the Maintenance department.</li><li>Maintain and implement electrical infrastructure network.</li></ul>
<p>We seek a highly skilled and experienced <strong>Senior Data Scientist</strong> to join our team. In this role, you will lead advanced data science solutions' design, implementation, and optimisation. You will conduct complex experiments, uncover actionable insights, develop scalable machine-learning models, and drive strategic decisions based on data. As a Senior Data Scientist, you will mentor junior team members and collaborate across departments to elevate the organisation's data-driven capabilities.</p><h3> </h3><h3>Main Goals and Responsibilities:</h3><ul><li><p>Lead the development and deployment of robust data science and machine learning pipelines, from data retrieval and preprocessing to model training, inferencing, and results visualisation;</p></li><li><p>Take ownership of the architecture and optimisation of DS/ML pipelines to ensure scalability and efficiency;</p></li><li><p>Leverage ML models to build innovative solutions for tasks such as text generation, content automation, and more;</p></li><li><p>Collaborate with cross-functional teams to integrate advanced data solutions that meet evolving business needs;</p></li><li><p>Guide tools, strategies, and best practices to solve complex data science problems, including those involving LLMs and Generative AI;</p></li><li><p>Share expertise with the team and across departments to elevate the overall technical capabilities of the organisation;</p></li><li><p>Proactively identify opportunities to improve data processes, model performance, and business impact.</p></li></ul><p> </p><p><strong>What We Offer:</strong></p><ul><li><p>Long-term career stability with a competitive salary paid in USD.</p></li><li><p>Conditions for steady career development.</p></li><li><p>Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.</p></li><li><p>Private medical insurance provided after successful completion of the probationary period</p></li><li><p>A well-equipped and cozy office supports comfort and productivity across all project stages.</p></li><li><p>Welcoming atmosphere and a friendly corporate culture.</p></li></ul><p></p><p><strong>Requirements</strong></p><h3>Required Skills and Experience:</h3><ul><li><p>English level Upper Intermediate +</p></li><li><p>Strong mathematical and statistical background, including tensor calculus</p></li><li><p>Expertise in databases such as Postgres, MongoDB, and SQL</p></li><li><p>Proficiency in Python, with extensive experience in libraries such as Scikit-learn, Numpy, Pandas, and Matplotlib</p></li><li><p>In-depth knowledge and experience with gradient boosting algorithms (e.g., XGBoost, LightGBM)</p></li><li><p>Advanced experience with at least one neural network framework (TensorFlow/Keras, PyTorch), with a deep understanding of neural network architectures and optimisation techniques</p></li><li><p>Proven commercial experience with classic machine learning and deep learning, including NLP and computer vision (e.g., BERT, ResNet)</p></li><li><p>Experience in applying LLMs and Generative AI technologies (e.g., GPT, transformer-based architectures) in real-world use cases</p></li><li><p>Extensive experience in building end-to-end machine learning pipelines (data ingestion, preprocessing, model training, deployment, inference) and managing CI/CD workflows using GitHub/GitLab</p></li><li><p>Practical experience with Docker or Kubernetes platforms for deployment and scalability</p></li><li><p>Commercial experience with cloud platforms like AWS or Azure</p></li></ul><h3><strong> Nice to Have:</strong></h3><ul><li><p>Familiarity with big data tools such as Spark and Airflow</p></li></ul><p></p>
Our Company<br><br>Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. <br><br>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. <br><br>What You’ll Do<br><br>What the role is about: As a Senior Data Scientist at Teradata, you will lead data science projects, develop predictive models, and provide actionable insights to support strategic business initiatives. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive impactful solutions. What impact this role has: Your work will directly influence business decisions, optimize operations, and drive innovation. By uncovering trends and patterns in data, you will help Teradata stay ahead in the competitive landscape and deliver exceptional value to our clients. What success might look like: Success in this role means delivering high-quality data science solutions that meet business needs, mentoring junior team members, and continuously improving our data science practices. You will be recognized for your ability to translate complex data into actionable insights and for driving measurable business outcomes. <br><br>Who You’ll Work With<br><br>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, and business stakeholders both internally and externally. The team is dedicated to leveraging data to solve complex problems and drive business growth. The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. Your contributions will help shape the direction of our data initiatives and ensure we deliver cutting-edge solutions to our clients. Who the position reports to: This position reports to the Data Science Team Manager. <br><br>What Makes You a Qualified Candidate<br><br>Non-negotiable qualifications:<br><br>Minimum of 5 years of experience in data science or analytics. Proficiency in programming languages such as Python and SQL. Strong understanding of statistical methods and machine learning techniques. Proficiency in advanced deep learning algorithms and Gen AI Excellent communication and presentation skills. <br><br>What You’ll Bring<br><br>Data Analysis and Modeling: Perform complex data analysis and build predictive models using advanced statistical and machine learning techniques. Project Leadership: Lead data science projects from conception to deployment, ensuring timely delivery and alignment with business goals. Collaboration: Work closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to understand requirements and deliver data-driven solutions. Data Exploration: Explore large datasets to identify trends, patterns, and opportunities for business improvement. Model Deployment: Implement and maintain machine learning models in production environments, ensuring scalability and performance. Mentorship: Mentor junior data scientists and provide guidance on best practices and methodologies. Communication: Present findings and insights to both technical and non-technical audiences, translating complex data into actionable recommendations. Continuous Improvement: Stay up to date with the latest advancements in data science and machine learning and apply new techniques to improve existing processes. <br><br><br><br>Why We Think You’ll Love Teradata<br><br>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.<br><br>Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
<ul><li><p>Develop and implement a comprehensive maintenance plan for tinting machines.</p></li><li><p>Regularly inspect tinting machines to identify potential issues, defects, or malfunctions that may affect their performance.</p></li><li><p>Perform repairs, adjustments, and troubleshooting on tinting machines to address mechanical, electrical, or software-related issues effectively.</p></li><li><p>Conduct routine preventive maintenance activities, such as cleaning, lubricating, and replacing parts, to ensure the longevity and efficiency of tinting machines.</p></li><li><p>Coordinate with the procurement team to ensure an adequate supply of spare parts for timely repairs and maintenance.</p></li><li><p>Lead and supervise a team of Tinting Machine Technicians, providing guidance, assigning tasks, and ensuring proper training and development.</p></li><li><p>Maintain accurate records of maintenance activities, including equipment inspections, repairs, and maintenance schedules.</p></li><li><p>Generate reports to track machine performance and maintenance history.</p></li><li><p>Collaborate with the Tinting Machine Maintenance Section Head and other stakeholders to align maintenance activities with production requirements.</p></li><li><p>Full commitment to HSE requirements and to halt any work activities that are incompatible with these standards.</p></li><li><p>Ensure that all employees under their supervision adhere strictly to HSE instructions.</p></li><li><p>Authority to make decisions regarding actions that may impact the environment or occupational health & safety.</p></li><li><p>Perform any other duties assigned by the direct manager.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Bachelor's degree in Mechanical, Electrical, or Mechatronics Engineering.</p></li><li><p>1+ years of maintenance experience, including supervisory experience.</p></li><li><p>Experience in tinting machines or industrial equipment maintenance.</p></li><li><p>Strong mechanical, electrical, and troubleshooting skills.</p></li><li><p>Knowledge of preventive and corrective maintenance.</p></li><li><p>Leadership and team management skills.</p></li><li><p>Good communication and problem-solving abilities.</p></li><li><p>Proficient in Microsoft Office; CMMS knowledge is a plus.</p></li><li><p>Good command of English.</p></li><li><p>Strong commitment to HSE standards.</p></li></ul><p></p>
<p>About the Company</p><p>We are a well-established Petroleum Services company providing specialized solutions to the Oil & Gas industry. Our expertise includes OCTG Services, API & Premium Connection Rethreading, Machine Shop Manufacturing, Repair, Bucking Operations, Welding, Hard banding, and related workshop and field services.</p><p></p><p><strong>This position is site-based and requires working on a 3 week on/1 week off rotation at the company's operational sites (Alex or Matrouh)</strong></p><p></p><p>Job Purpose</p><ul><li><p>We are seeking a skilled Manual Lathe Machinist to perform machining, repair, and refurbishment activities using conventional machine tools while ensuring compliance with engineering drawings, quality standards, and safety procedures.</p></li></ul><ul><li><p>The position supports manufacturing, repair, rethreading, and refurbishment activities for OCTG accessories and oilfield equipment.</p></li></ul><p></p><ul><li><p>Key Responsibilities</p></li></ul><p>Machine Operation</p><ul><li><p>Operate manual lathes, milling machines, radial drills, and other conventional equipment.</p></li><li><p>Set up workpieces and machining tools.</p></li><li><p>Perform machining activities according to work instructions and drawings.</p></li></ul><p>Manufacturing & Repair</p><ul><li><p>Manufacture new parts and components.</p></li><li><p>Repair damaged equipment and accessories.</p></li><li><p>Perform threading, boring, drilling, facing, and turning operations.</p></li><li><p>Support refurbishment and maintenance projects.</p></li></ul><p>Quality Control</p><ul><li><p>Inspect dimensions and tolerances during machining.</p></li><li><p>Use measuring instruments accurately.</p></li><li><p>Ensure finished products meet specifications.</p></li></ul><p>Equipment Care</p><ul><li><p>Maintain machines in clean and operational condition.</p></li><li><p>Report equipment problems to supervisors.</p></li><li><p>Support preventive maintenance activities.</p></li></ul><p>Safety Compliance</p><ul><li><p>Follow workshop safety procedures.</p></li><li><p>Use required PPE.</p></li><li><p>Maintain safe and organized work area.</p></li></ul><p></p><p><strong>Requirements</strong></p><p>Requirements</p><ul><li><p>Technical Diploma or equivalent.</p></li><li><p>Minimum 3 years of experience operating manual lathes.</p></li><li><p>Good knowledge of machining processes.</p></li><li><p>Ability to use precision measuring instruments.</p></li><li><p>Ability to read engineering drawings.</p></li><li><p>Threading API and Premium connections</p></li></ul><p></p>
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Join our Team
<br><p><strong>About this opportunity:</strong></p><br><br><br><p>As the company that created the mobile world, and with more than 54,000 patents to our name, we’ve made it ourbusiness to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform atyour best, shaping the future of technology. This is a place where you're welcomed as your own perfectly uniqueself, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?<br>Come, and be where it begins.</p><br><br><br><p><strong>We are seeking a senior-year student who meets the following criteria:</strong></p><br><br><br><ul><li>Pursuing a degree in Computer Science, Computer Engineering, or a related field.</li><li>Planning a Graduation Project in <span>Data Science, Machine Learning, or Artificial Intelligence</span>.</li><li>Expected graduation: 2027</li><li>Strong written and spoken English skills.</li></ul><br><p><strong>As part of this role, you will work with Data Science, Machine Learning Operations & Cloud colleagues and will:</strong></p><br><br><br><ul><li>Collaborate with data scientists and engineers to develop and implement machine learning models, includinggenerative AI applications.</li><li>Assist in data collection, processing, and analysis to support ongoing projects.</li><li>Explore and experiment with state-of-the-art generative AI models, such as large language models (LLMs)and retrieval-augmented generation (RAG).</li><li>Develop prototypes and proof-of-concept solutions using ML and GenAI technologies.</li><li>Evaluate ML model performance and suggest improvements based on data-driven insights.</li><li>Document methodologies, experiments, and findings for internal and external presentations.</li><li>Participate in team meetings and contribute to discussions on project development and innovation.</li></ul><br><p><strong>Knowledge, Skills and Competencies in related areas:</strong></p><br><br><br><ul><li>Proven experience in Python.</li><li>Excellent general Software Engineering skills: maintainable code, testing, design principles, Object OrientedProgramming.</li><li>A good conceptual understanding of statistics, probability, multivariable calculus, and linear algebra.</li><li>A good understanding of the underlying theory for both classical machine learning as well as deep learningalgorithms.</li><li>Experience with using ML and DL frameworks (Tensorflow, Pytorch, Keras, etc.).</li><li>Experience with data manipulation and analysis using Pandas.</li><li>Expertise in unsupervised learning techniques and advanced clustering algorithms, with a focus on practicalapplication and interpretation of results.</li><li>Experience with Python Visualization Libraries (Matplotlib, Plotly, Seaborn, etc.).</li><li>Experience in packaging machine learning work.</li><li>Demonstrated skills in Generative AI, with hands-on experience in working with LLMs and RAGs.</li><li>Knowledge of natural language processing (NLP) techniques and tools, or experience with generative modelslike GPT or BERT is highly desirable.</li><li>Hands-on involvement in fine tuning LLMs is a bonus.</li></ul><br><p><strong>What we are offering you:</strong></p><br><br><br><ul><li>Getting the opportunity to work with and learn from the only R&D Hub in Ericsson across MEA.</li><li>Explore your passion for innovation and your desire to join a leader. You’ll enjoy an open, inspiring culturethat encourages idea generation and thought exploration.</li><li>Working in an international environment with colleagues from all over the world.</li><li>Continuous on the job training, in classrooms and via e-learning.</li><li>A mentor and buddy program.</li></ul><br><p><strong>Why join Ericsson?</strong>At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br> <br><strong>What happens once you apply?</strong>Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><br><br><br><p><strong>Primary country and city:</strong> Egypt (EG) || Cairo</p><br><br><p><strong>Req ID:</strong> 790169 </p><br><br><br><br><br> </div>
Company Description TEZ TOUR is an international tour operator and one of the leading travel companies in Russia and the CIS region, with operations expanding across Europe, Asia, the Caribbean, and the Middle East since 1994. TEZ TOUR Egypt, established in 1999, is recognized as a high-tech tour operator and a trusted partner in the travel market. The company focuses on delivering high-quality, customer-centric services using advanced technologies and convenient online booking tools. TEZ TOUR Egypt provides reliable ground services at the most popular resorts in Egypt, maintaining strong relationships with both travelers and business partners. Team members join a dynamic, growth-oriented organization with a strong reputation in the regional tourism industry. Role Description This is a full-time, on-site Salesperson role based in Giza for TEZ TOUR Egypt. The Salesperson will promote and sell the company’s travel products and ground services, including holiday packages, excursions, and related offerings to individual clients, agencies, and corporate partners. Daily activities include responding to inquiries, preparing tailored offers, providing product information, and following up with prospective and existing customers to close sales. The role involves maintaining accurate records in the sales system, coordinating with operations and reservations teams to ensure service availability, and resolving client issues promptly and professionally. The Salesperson will also contribute to sales campaigns, participate in promotional events when needed, and provide feedback from the market to support continuous improvement. Qualifications Proven experience in sales, preferably in tourism, hospitality, or related service industries, with a strong track record of meeting or exceeding targets. Excellent communication and customer service skills, with the ability to build trust and long-term relationships with clients and partners. Strong negotiation and presentation abilities, including confidence in handling objections and closing deals. Comfort using digital tools and booking platforms, along with basic proficiency in MS Office or similar software. Good organizational and time-management skills, with attention to detail and the ability to handle multiple inquiries at once. Fluency in English and Arabic required; additional foreign languages (such as Russian or European languages) are an advantage. Knowledge of Egypt’s main tourist destinations and resort areas, or willingness to learn quickly. Ability to work on-site in Giza, collaborate effectively with diverse teams, and maintain a professional, inclusive attitude toward colleagues and customers. Relevant education in Business, Tourism, Hospitality, or a related field is preferred but equivalent experience will be considered.<br>If you are interested, please send your CV to: jobs@cairo.tez-tour.comWhats App only : 01110059299
Role Purpose, Key Responsibilities & Duties: The AI Engineer plays a key role in leveraging artificial intelligence (AI) and automation technologies to enhance business differentiating value propositions, processes, operational efficiency, and data-driven decision-making. The AI Engineer identifies opportunities for the implementation of AI and automation solutions, designs and develops applications, tools, and automated workflows to ensure the successful monetization, adoption, and integration of these technologies to drive growth and innovation posture. Collaborate with various stakeholders to understand requirements to design, develop and operation AI and automation business tailored capabilities and solutions. Create detailed business technical specifications and architectural designs for the implementation of the AI and automated business processes. Develop and implement AI algorithms, machine learning models, and automation scripts to address business needs and derive tangible value. Integrate AI and automation solutions with business processes, digital capabilities, systems and workflows. Conduct testing and validation of AI and automation solutions to ensure accuracy, reliability, responsibility and adherence to business requirements. Establish monitoring mechanisms to track the performance of implemented AI and automation solutions and capabilities for continuous assessment and improvements. Collaborate with cross-functional teams, including IT, business analysts, and end-users, to ensure alignment with business goals and organizational outcomes.<br>Key Competencies & Skills:✓ Proficiency in programming languages such as Python, R, or Java.✓ Strong data analysis skills for assessing, cleaning, and preparing data for AI and automation processes.✓ Ability to design AI and automation solutions tailored to specific business requirements.✓ Proficient in coding and scripting for the development and implementation of automation workflows.✓ Experience in testing and validating AI and automation solutions for accuracy and reliability.✓ Knowledge of integrating AI and automation solutions with existing systems and workflows.✓ Good communication skills to interact with cross-functional teams, stakeholders, and vendors.✓ A mindset for continuous learning to stay updated on emerging AI and automation technologies. Academic Education & Professional Certifications Operational & Managerial Experience:− Bachelor's degree in computer science, Data Science, or equivalent in a technology related discipline.− 3 to 4 years of experience with AI technologies, machine learning algorithms, and automation tools inside a Company.− RPA Developer, AI and Machine Learning, PMP (Project Management Professional) certifications preferred.− English proficiency is a must.− Artificial Intelligence technologies and algorithms, and proficiency in operating systems • Programming languages and networking fundamentals is essential.− Platforms and enterprise mobile applications on various operating systems, Java/XML, and HTML. If you're ready to make a significant impact and help shape a data-first culture, we want to hear from you.
Role Purpose, Key Responsibilities & Duties: The AI Engineer plays a key role in leveraging artificial intelligence (AI) and automation technologies to enhance business differentiating value propositions, processes, operational efficiency, and data-driven decision-making. The AI Engineer identifies opportunities for the implementation of AI and automation solutions, designs and develops applications, tools, and automated workflows to ensure the successful monetization, adoption, and integration of these technologies to drive growth and innovation posture. Collaborate with various stakeholders to understand requirements to design, develop and operation AI and automation business tailored capabilities and solutions. Create detailed business technical specifications and architectural designs for the implementation of the AI and automated business processes. Develop and implement AI algorithms, machine learning models, and automation scripts to address business needs and derive tangible value. Integrate AI and automation solutions with business processes, digital capabilities, systems and workflows. Conduct testing and validation of AI and automation solutions to ensure accuracy, reliability, responsibility and adherence to business requirements. Establish monitoring mechanisms to track the performance of implemented AI and automation solutions and capabilities for continuous assessment and improvements. Collaborate with cross-functional teams, including IT, business analysts, and end-users, to ensure alignment with business goals and organizational outcomes.<br>Key Competencies & Skills:✓ Proficiency in programming languages such as Python, R, or Java.✓ Strong data analysis skills for assessing, cleaning, and preparing data for AI and automation processes.✓ Ability to design AI and automation solutions tailored to specific business requirements.✓ Proficient in coding and scripting for the development and implementation of automation workflows.✓ Experience in testing and validating AI and automation solutions for accuracy and reliability.✓ Knowledge of integrating AI and automation solutions with existing systems and workflows.✓ Good communication skills to interact with cross-functional teams, stakeholders, and vendors.✓ A mindset for continuous learning to stay updated on emerging AI and automation technologies. Academic Education & Professional Certifications Operational & Managerial Experience:− Bachelor's degree in computer science, Data Science, or equivalent in a technology related discipline.− 3 to 4 years of experience with AI technologies, machine learning algorithms, and automation tools inside a Company.− RPA Developer, AI and Machine Learning, PMP (Project Management Professional) certifications preferred.− English proficiency is a must.− Artificial Intelligence technologies and algorithms, and proficiency in operating systems • Programming languages and networking fundamentals is essential.− Platforms and enterprise mobile applications on various operating systems, Java/XML, and HTML. If you're ready to make a significant impact and help shape a data-first culture, we want to hear from you.
<p>The AI Solution Delivery team is expanding its capabilities in NLP to build production-grade AI products. We are looking for a Senior Data Scientist to architect, build and deploy complex models for automating customer support operations. You will be responsible for selecting the right technical approaches and ensuring the scalability of our solutions. A proven track record in applying advanced NLP techniques to real-world problems is required.</p><p>Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance</p><p>Translate complex business goals into well defined data science problems and quantifiable metrics</p><p>Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines</p><p>Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure</p><p>Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift to ensure consistent performance</p><p>Support the development and growth of other team members through mentorship and participation in onboarding programs</p><p>Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact</p><p>Communicate complex technical concepts and findings clearly and concisely to both technical and non technical stakeholders</p><p>Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries.</p><p>Develop your professional skills with access to mentoring, career consulting, and learning programs.</p><p>Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.</p><p>Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.</p><p>Work alongside people who take initiative, speak openly, and challenge themselves to grow.</p><p>Improve your language skills through co-financed courses and internal speaking clubs.</p><p>Final benefits may vary depending on the location.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>5 years of professional experience in a data science or machine learning role with deep focus on NLP.</li><li>Previous software engineering experience is preferrable.</li><li>An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus</li><li>Expert level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit learn).</li><li>Deep expertise in classic machine learning and deep learning techniques, with a strong understanding of advanced mathematics relevant to these fields.</li><li>Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in a production environment.</li><li>Proven experience with event systems, deployment environments, and maintaining production services.</li><li>Familiarity with technologies for streaming, batch, and async data processing.</li><li>Strong understanding of software system design principles and the ability to contribute to architectural discussions.</li><li>Experience in experimental design to validate hypotheses and measure the effectiveness of solutions.</li><li>A solid grasp of security, risk, and control concepts in a production environment.</li></ul>
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AI Product OwnerRole Overview<p>We are looking for a strategic and technically minded AI Product Owner to lead the vision, roadmap, and execution of AI-powered features within our SaaS platform.</p><br><p>You will bridge the gap between business objectives, customer needs, and data science and machine learning engineering teams. Your mission is to deliver intelligent, scalable features that create meaningful user value and drive business growth.</p><br>Key Responsibilities1. Product Strategy and Roadmap<p>Define and maintain the AI product roadmap in alignment with company OKRs, market trends, and customer feedback.</p><br><p>Prioritize features that use machine learning, natural language processing, recommendation systems, and generative AI to solve real user problems.</p><br>2. Backlog Management<p>Write clear, actionable user stories and acceptance criteria for AI-powered features.</p><br><p>Balance short-term delivery priorities with long-term research and experimentation.</p><br><p>Support activities such as model A/B testing, prompt engineering, and iterative performance improvements.</p><br>3. Cross-Functional Collaboration<p>Act as the primary liaison between engineering, data science, design, marketing, and customer success teams.</p><br><p>Translate technical model-performance metrics—such as accuracy, latency, and drift—into clear business-impact statements for stakeholders.</p><br>4. Data-Driven Decision-Making<p>Define measurable success metrics for AI features, including conversion lift, user engagement, and automation rates.</p><br><p>Use product analytics and model-evaluation results to improve existing features and prioritize future enhancements.</p><br>5. AI Ethics and Governance<p>Ensure AI features are fair, transparent, and compliant with applicable data privacy regulations, including GDPR and CCPA.</p><br><p>Champion responsible AI practices throughout the product lifecycle.</p><br>6. Customer and Market Insights<p>Conduct customer research, competitive analysis, and industry-trend monitoring to identify new AI opportunities.</p><br><p>Partner with customer success teams to validate hypotheses through prototypes, proofs of concept, and MVPs.</p><br>7. Release and Lifecycle Management<p>Coordinate beta programs, feature flags, and gradual rollouts for AI models.</p><br><p>Monitor post-launch performance and manage continuous model retraining, optimization, or fine-tuning cycles.</p><br>Required Qualifications<p>At least three years of product ownership or product management experience within a SaaS company.</p><br><p>Proven experience owning AI or machine learning features, such as recommendation engines, intelligent search, chatbots, or predictive analytics.</p><br><p>Strong understanding of the machine learning lifecycle, model inference, and evaluation metrics such as precision, recall, AUC, and RMSE.</p><br><p>Understanding of the trade-offs between model accuracy, performance, and latency.</p><br><p>Ability to write technical user stories and communicate effectively with data scientists and engineers.</p><br><p>Strong analytical skills, with experience using SQL, product analytics tools such as Amplitude or Mixpanel, and A/B testing frameworks.</p><br><p>Excellent stakeholder-management, communication, and presentation skills.</p><br>Nice-to-Have Qualifications<p>Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</p><br><p>Experience with generative AI, large language models, RAG, prompt engineering, and vector databases.</p><br><p>Familiarity with Agile and Scrum methodologies.</p><br><p>Experience using Jira, Confluence, or similar product-management tools.</p><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Siemens Digital Industries Software is a global technology powerhouse. With some of the best-known brands in the world, Siemens has stood for engineering excellence, innovation, quality, and reliability for more than 175 years.</p><p>The Calibre SONR team is seeking an experienced Senior Software Engineer/Technical Lead to join our team in Cairo, Egypt. Calibre SONR seamlessly integrates machine learning models with the core Calibre architecture to enhance the productivity and precision of fab defect detection and diagnostics. This role offers a truly global scope and provides the opportunity to drive continuous improvement in one of our most critical services.</p><p>Responsibilities:</p><ul><li>Design, develop, and implement software for both internal and external products, exceeding customer expectations with a focus on quality and on-time delivery.</li><li>Ensure the overall functional quality of released products across all platforms and environments.</li><li>Lead major projects within the product area, providing technical guidance and promoting innovation.</li><li>Consult with customers on future upgrades and products, influencing technical direction.</li><li>Provide high-level technical expertise, including in-depth software systems programming and analysis.</li><li>Mentor junior engineers, demonstrating independence and strong technical leadership.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s or Master s degree in Computer Science, Computer Engineering, or a related field.</li><li>5+ years of experience in software development, with a specialization in data analysis and machine learning.</li><li>Proficiency in programming languages such as Python, Java, or C++.</li><li>Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Strong understanding of data structures, algorithms, and software design principles.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication skills, with the ability to present ideas and share knowledge effectively.</li></ul><p></p></section>
<div ><table cellspacing="0" cellpadding="0" hspace="0" vspace="0"><tbody><tr><td align="left"><p class="MsoListParagraphCxSpFirst" ><span ><span >·</span><span > </span></span><span ><span >Analyze Test specifications and monitors test implementation during production stages till the final product stage.</span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpMiddle" ><span ><span >·</span><span > </span></span><span ><span >Getting approval from QC Manager for order fixing form (OFF) to start the Manufacturing process.</span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpMiddle" ><span ><span >·</span><span > </span></span><span ><span >Follow up the order cycle with the designated department till it reaches the planning department to get information such as machine loading, delivery time, machine time/man hour.</span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpMiddle" ><span ><span >·</span><span > </span></span><span ><span >Request Quality control procedure and test report from QA department.</span><span > </span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpMiddle" ><span ><span >·</span><span > </span></span><span ><span >Follow up order cycle with production department and manage quality control according to quality control procedures.</span><span > </span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpMiddle" ><span ><span >·</span><span > </span></span><span ><span >Coordinate with warehouse department to allocate the final product in the specified quality area to ensure it is not being transferred or shipped to any clients at this stage.</span><span > </span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpMiddle" ><span ><span >·</span><span > </span></span><span ><span >Communicate with Technical Department to agree on the packing required to ship this transformer.</span><span > </span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpMiddle" ><span ><span >·</span><span > </span></span><span ><span >Send technical specifications to Packaging department in the production warehouse for execution.</span><span > </span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpMiddle" ><span ><span >·</span><span > </span></span><span ><span >Send technical documents to the testing lab to start the testing process including drawings, technical datasheet and shipment details.</span><span > </span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpMiddle" ><span ><span >·</span><span > </span></span><span ><span >Follow up on test results to obtain the required certificate.</span><span > </span></span><span ><span ><o\:p></o\:p></span></span></p><p class="MsoListParagraphCxSpLast" ><span ><span >·</span><span > </span></span><span ><span >Send shipment request to shipping department to launch the shipment process to the final destination in case of exporting.</span><span > </span></span><span ><span ><o\:p></o\:p></span></span></p></td></tr></tbody></table></div><p><span ><span >Update project plan with all actual project stages and saved on the project’ technical file.</span><span > </span></span></p>
<p><b>Job Description</b></p><ul><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></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Education: At least a primary school diploma.</li><li>Experience: At least 3 years of related work experience or 1 year of work experience in a lower position and experience with applying the main principles and/or different methods.</li><li>Foreign Language: Not required.</li><li>Courses and Training: Prior attendance in trainings in the related field.</li><li>Computer Literacy: Not required</li><li>Skills: Expected to possess advanced level of knowledge of standard work routines and general kitchen rules. Expected to perform simple, specific and standard tasks that are generally repetitive.</li></ul>