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Grand Technology

Job Overview Grand Technology is seeking an experienced and passionate Senior AI Engineer to join our dynamic team in Giza, Egypt. This is a Full-Time position for a professional who is keen to work at the forefront of digital innovation. As a subsidiary of the Mohammed Saif Thabet Group, Grand Technology has established itself since 2006 as a next-generation digital solutions company. We are committed to helping our clients design for the future by providing the latest technology and regional expertise. As a Senior AI Engineer, you will play a pivotal role in developing and implementing cutting-edge AI solutions that drive our business and our clients' success forward. You will be part of a vibrant company culture where teamwork and continuous improvement are at the core of our DNA, fostering an environment where innovation thrives. Responsibilities * Lead the design, development, and deployment of sophisticated artificial intelligence and machine learning models to solve complex business challenges. * Collaborate closely with cross-functional teams, including product managers and software developers, to identify opportunities for AI integration and to define project requirements. * Mentor junior engineers, providing technical guidance and fostering a culture of knowledge sharing and professional growth. * Manage the end-to-end lifecycle of AI projects, from data acquisition and preprocessing to model training, evaluation, and deployment in production environments. * Stay abreast of the latest advancements in AI, machine learning, and deep learning, and champion the adoption of new technologies and methodologies. * Ensure the robustness, scalability, and performance of our AI systems, conducting rigorous testing and optimisation. * Communicate complex technical concepts and project outcomes effectively to both technical and non-technical stakeholders. Qualifications * A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. * Proven commercial experience in a similar role, with a strong portfolio of successfully delivered AI/ML projects. * Expert proficiency in Python and extensive experience with major AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. * A deep theoretical and practical understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and computer vision. * Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and deploying machine learning models at scale. * Exceptional analytical and problem-solving skills, with a meticulous attention to detail. * Strong leadership qualities and excellent communication skills, with the ability to work effectively within a collaborative team environment. Benefits * A competitive salary and comprehensive benefits package. * The opportunity to work on pioneering projects that shape the future of digital solutions. * A supportive and collaborative work environment that encourages innovation and creativity. * Significant opportunities for professional development and career progression within a leading technology organisation. * A role in a results-driven organisation committed to delivering excellence for its clients and partners.

Senior AI Engineer

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

VOIS

<div>
 
 Who We Are
 
 
 
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 
 
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
 
 
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 
 
 #VOIS #BeUnrivalled #CreateTheFuture
 
 
 
 About This Role
 
 
 
 
 What you&rsquo;ll do
 
 
 
 <ul>
 <li>
 Build, test, and deliver new analytics models using diverse datasets to support business use cases
 </li>
 <li>
 Prepare and cleanse data, optimise SQL and NoSQL queries, and implement statistical models
 </li>
 <li>
 Develop descriptive and predictive models for specific market segments, products, and services
 </li>
 <li>
 Collaborate with commercial teams to present actionable insights derived from analytical results
 </li>
 <li>
 Support product management in identifying customer-facing analytics use cases for roadmap planning
 </li>
 <li>
 Contribute to defining lifecycle processes for analytics to enable fast and cost-effective development
 </li>
 <li>
 Participate in business analysis and document specifications for information requests
 
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Experienced in advanced analytics techniques including descriptive, predictive, and optimisation models
 </li>
 <li>
 Skilled in handling complex, high-volume data, preferably within Hadoop/Spark environments
 </li>
 <li>
 Proficient in SQL and databases such as Teradata, Oracle, and MySQL
 </li>
 <li>
 Strong knowledge of machine learning techniques and their real-world applications
 </li>
 <li>
 Hands-on experience with statistical tools like Python, R, SAS EM, MATLAB, SPSS, and Teradata Warehouse Miner
 </li>
 <li>
 Holds a degree in Computer Science, Engineering, Applied Mathematics, or Statistics (MS/Ph.D. preferred)
 </li>
 <li>
 Comfortable working in international, distributed teams with agile methodologies
 </li>
 <li>
 Excellent communication, analytical, and troubleshooting skills
 </li>
 <li>
 Innovative thinker with a flexible, proactive attitude and strong coordination capabilities
 </li>
 <li>
 Fluent in English, both written and spoken
 
 
 
 </li>
 </ul>
 
 Not a Perfect Fit?
 
 
 
 
 What&rsquo;s In It For You
 
 
 
 
 What skills you will learn
 
 
 
 
 VOIS Equal Opportunity Employer Commitment
 
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 
 
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 
 
 With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 
 
 
 Alert
 
 
 
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 
 
 #JDEnhancedByTARA
 
 
 
 Follow us on social media and #StayConnected
 
 
 
 <ul>
 <li>
 LinkedIn
 </li>
 <li>
 Facebook
 </li>
 <li>
 Instagram
 </li>
 <li>
 Chat with our employees to learn more about our projects
 </li>
 </ul>
</div>

Sr. Data Scientist (VOIS)

MC Ledger

<div>Company Description 
Are you ready to join a dynamic team that's transforming the way small businesses manage their finances? At mazeed, we're not just offering a service; we're providing a lifeline to micro and small-sized enterprises. Our multi-faceted platform is the key to helping these businesses keep their financial records in check, issuing invoices promptly, and making informed decisions. We're the trusted extension of their team, their Finance &amp; Accounting Department.
Our core values of Integrity, People Growth, Customer Centric, Global Mindset, Innovation, and Adaptability are the foundation upon which we've built our success. We're not just looking for someone who can fill a role, but someone who can align with these values, adding their unique perspective to our team. 
Job Description 
Job Summary:
Mazeed is a UAE-based financial management platform combining a modern SaaS experience with expert-led Finance-as-a-Service (FaaS) to help SMEs manage accounting, tax, and financial operations. We&rsquo;re building an intelligent platform that doesn't just support workflows &mdash; it actively enhances them. From data extraction and classification to decision support and anomaly detection, we believe AI can unlock massive value across our product and operations.
Why This Role Matters
As an AI Engineer, you will help Mazeed infuse intelligence across the customer journey and internal operations. Whether it's using LLMs to summarize financial documents, training models to flag compliance risks, or automating repetitive workflows, your work will shape how smart and scalable the Mazeed platform becomes.
This role will directly impact:<ul><li>
How efficiently we serve customers</li><li>
How much we can automate behind the scenes</li><li>
How smart our product feels &mdash; in both UX and backend logic</li></ul>
Responsibilities:<ul><li> 
Build and deploy AI-powered services that extract, classify, and process financial documents</li><li>
Develop intelligent agents that assist internal teams (e.g., customer support copilots, task triage bots)</li><li>
Integrate Large Language Models (LLMs) to generate summaries, draft insights, or auto-fill fields</li><li>
Fine-tune models on proprietary datasets (e.g., transactions, invoices, customer interactions)</li><li>
Collaborate with product, data, and engineering teams to bring smart features into production</li><li>
Optimize models for cost, speed, and relevance in a multi-tenant SaaS environment</li><li>
Monitor performance, accuracy, and feedback loops to improve over time</li></ul> 
Qualifications<ul><li> 
2&ndash;4 years of experience in AI/ML engineering or applied data science</li><li>
Strong coding skills in Python, with experience in frameworks like HuggingFace Transformers, LangChain, FastAPI</li><li>
Familiarity with LLMs, embeddings, retrieval-based systems (RAG), and prompt engineering</li><li>
Experience working with vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS)</li><li>
Ability to deploy models in production (Docker, Lambda, serverless APIs, etc.)</li><li>
Bonus: Experience with OCR pipelines, invoice parsing, or financial document processing</li><li>
Bonus: Knowledge of Reinforcement Learning from Human Feedback (RLHF) or model fine-tuning</li></ul>
What Success Looks Like<ul><li>
AI-powered features are stable, fast, and meaningfully improve user workflows</li><li>
Repetitive internal processes are automated with smart agents</li><li>
Document processing becomes more accurate and less manual</li><li>
Product feels intelligent, contextual, and responsive</li><li>
AI investments translate to measurable efficiency or customer impact</li></ul> 
Additional Information 
If you're excited to embark on this journey with us, to be part of an innovative team that's changing the game for small businesses, we encourage you to apply. At mazeed, we don't just hire employees; we welcome team members who share our values and vision. Join us in making a real impact on the financial well-being of small enterprises while advancing your own career. Your success is our success, and together, we'll reach new heights in the world of finance and accounting.
Join our mazeed Family and enjoy a comprehensive benefits package that includes competitive compensation, comprehensive health coverage, professional development opportunities, work-life balance initiatives, an inclusive company culture, and performance bonuses and incentives. We prioritize the well-being and growth of our employees and strive to create a supportive and rewarding work environment.</div>

AI Engineer

Location: El Sheikh Zayed – Beverly Hills Company: Grand Technology Employment Type: Full-Time - Onsite&nbsp; &nbsp;<h3>About the Role &nbsp;</h3>Grand Technology is seeking a highly skilled and innovative Senior AI &amp; Automation Engineer to lead the design, development, and deployment of Generative AI solutions, intelligent chatbots, and automation frameworks. This role is pivotal in driving our digital transformation initiatives, enhancing customer experiences, and streamlining operations through cutting-edge AI and automation technologies. &nbsp;<h3>Key Responsibilities &nbsp;</h3><h4>AI &amp; GenAI Development</h4>&nbsp;<ul><li>Design, build, and optimize Generative AI models (LLMs, NLP, text, and multimodal AI) for business use cases.</li><li>Develop scalable AI pipelines for training, fine-tuning, and deploying models.</li><li>Research and implement the latest advancements in transformers, RAG (Retrieval Augmented Generation), and conversational AI.</li></ul>&nbsp;<h4>Chatbot &amp; Conversational AI</h4>&nbsp;<ul><li>Architect, develop, and maintain chatbots and virtual assistants using advanced NLP and AI frameworks.</li><li>Integrate chatbots with enterprise systems (CRM, ERP, HRMS, etc.) for end-to-end process automation.</li><li>Continuously improve conversational flows, intent recognition, and user engagement.</li></ul>&nbsp;<h4>Automation &amp; Process Optimization</h4>&nbsp;<ul><li>Lead automation initiatives across business processes using RPA, AI-driven decision systems, and workflow orchestration tools.</li><li>Collaborate with business stakeholders to identify automation opportunities that deliver measurable ROI.</li><li>Ensure high availability, security, and scalability of automation platforms.</li></ul>&nbsp;<h4>Collaboration &amp; Leadership</h4>&nbsp;<ul><li>Partner with cross-functional teams (Product, Data, Operations, IT) to align AI and automation initiatives with business goals.</li><li>Mentor junior engineers and guide them on best practices in AI/ML engineering and automation.</li><li>Prepare technical documentation, PoCs, and presentations for both technical and business stakeholders.</li></ul>&nbsp;<h3>Requirements</h3>&nbsp;<ul><li>Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.</li><li>5+ years of experience in AI/ML engineering and automation solutions.</li><li>Proven hands-on experience with:</li><li>GenAI / LLMs (OpenAI, Anthropic, Hugging Face, LangChain, RAG pipelines).</li><li>NLP frameworks (spaCy, NLTK, Transformers).</li><li>Chatbot platforms (Dialogflow, Rasa, Microsoft Bot Framework, custom-built AI assistants).</li><li>Automation tools (UiPath, Automation Anywhere, Power Automate, or custom Python automation).</li><li>Strong programming skills in Python.</li><li>Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices (CI/CD, model monitoring, Docker containerization).</li><li>Solid understanding of data engineering and integration with APIs and databases.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>

Senior AI & Automation Engineer

Deloitte

<div><div><div><div><div><h2 class="jobSectionHeader">About the Business</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Work you'll do</h2>
</div><div><ul><li>Conduct data cleansing for financial and accounting datasets to achieve standardization and uniformity.</li>
<li>Develop, optimize, and validate credit risk quantitative models to enhance their application in loan approval, default prediction, and credit scoring.</li>
<li>Utilize statistical and machine learning methods to build credit risk models, improving their predictive power and stability.</li>
<li>Participate in projects applying AI techniques to credit risk management, exploring the use of deep learning, reinforcement learning, and other advanced methods in credit scoring and default prediction.</li>
<li>Analyze and process multi-source heterogeneous data (e.g., transaction data, social data, behavioral data) to improve data quality and design effective features.</li>
<li>Ability to build and apply a strong knowledge of methodologies, frameworks, processes, assets, and tools to develop and implement effective data driven solutions</li>
<li>Support and deliver risk advisory projects; producing high quality project deliverables as per the expected scope and timelines</li>
<li>Support business development including sales bidding processes and contract management</li>
<li>Participate in eminence building initiatives to strengthen Deloitte's leading position in the provision of risk advisory services, e.g. participating in events and publications</li>
<li>Contribute to the continuous development and improvement of advisory tools and methodologies</li>
<li>Support Deloitte's relationship with key financial services institutions, industry representative bodies and regulatory bodies in Hong Kong and beyond</li>
</ul>
During your tenure with us, you will demonstrate and develop your leadership and professional capabilities in the following areas: Inspiring, Creating purpose, Driving agility, Building diverse capability, Influencing, Collaborating, Delivering value, Building the business, Analytical acumen, Effective communication, Engagement management/delivery excellence, Managing change, Managing quality &amp; risk, Sales excellence, Strategic thinking and problem solving, and Tech savviness.</div></div><div><div><h2 class="jobSectionHeader">
We are looking for someone with</h2>
</div><div>
Education:
<ul>
<li><div><ul><li>Bachelor&rsquo;s Degree in Finance, Economics, Engineering, Risk Management, Quantitative Finance, Law, or a related field.</li>
</ul>
</div></li></ul>Experience:
<ul>
<li><div><ul><li>3-5 years of industry experience in leading advisory firms, banks, insurers, exchanges, regulators, credit agencies, brokerage, private equity, asset management, tech firms/start-ups, or experience related to credit risk quantitative modeling and AI algorithm applications.</li>
<li>Hands-on experience in data analysis, feature engineering, and model validation within the financial sector.</li>
</ul>
</div></li></ul>Technical Skills:
<ul>
<li><div><ul><li>Strong understanding of credit risk management frameworks with expertise in statistical, machine learning, and AI techniques, particularly deep learning and natural language processing.</li>
<li>Proficient in credit risk model algorithms and operations, including logistic regression, decision trees, clustering, and neural networks.</li>
<li>Extensive experience with financial institution data, including familiarity with credit approval processes and data cleaning/analysis of both retail and non-retail loans.</li>
<li>Skilled in processing external data (e.g., PBOC, tax-related, and judicial data) and handling both structured and unstructured data. Familiar with methods for addressing abnormal data.</li>
<li>Proven experience in credit risk model development, including model deployment, verification, optimization, and continuous monitoring.</li>
<li>Proficient programming skills, with expertise in SAS, Python, or SQL, and machine learning libraries such as sklearn and PyTorch.</li>
</ul>
</div></li></ul>Professional Qualifications:
<ul>
<li><div><ul><li>FRM, CFA, SAS related or equivalent certification.</li>
</ul>
</div></li></ul>Soft Skills:
<ul>
<li><div><ul><li>Experience working in complex matrix environments; international outlook with cultural sensitivity.</li>
<li>Familiarity with the evolving regulatory landscape affecting financial institutions.</li>
<li>Excellent communication and collaboration skills, with the ability to work effectively within teams.</li>
<li>Fluency in written and spoken business English; fluency in Chinese is an advantage.</li>
<li>Ability to support transformation and change initiatives, demonstrating enthusiasm, drive, and effectiveness.</li>
</ul></div></li></ul></div></div><div><div><h2 class="jobSectionHeader">Shape your future through impact that matters</h2></div><div> 
For more than 100 years of history, Deloitte witnessed also had the honor to be part of the economic boom in China by providing industry-leading audit &amp; assurance, consulting, risk advisory, financial advisory, tax &amp; business advisory services to nearly 90% of the Fortune Global 500 Chinese companies and thousands of private companies. Deloitte China today carries on our centenary professionalism and strives to become the undisputed leader in professional services in China with strong responsibility and capabilities in digitalization and multidisciplinary services. 

Deloitte has been named China's Top Employer since 2006, Universum's Most Attractive Employer in China since 2008, and the Best Workplaces in Greater China since 2019. 

All qualified applicants will receive consideration for employment regardless of their background, experience, identity, ability or thinking style, and if you need assistance during the application process for accessibility reasons this is available upon request. The preferred candidate will be subject to background screening by Deloitte China or by their external third-party provider. 

Accessibility assistance 
 
If you need assistance or an accommodation during the recruitment process for accessibility reasons, there will be an opportunity for you to let us know what you need once you begin your application. 

Ready to take on new challenges? Apply now!</div></div></div></div></div>

Senior Consultant/Manager

ElSewedy Engineering Industries SEI

<div>
 We are seeking a proactive
 
 Mechanical Maintenance Engineer
 
 to join our team at
 
 Elsewedy Engineering Industries
 
 . The ideal candidate will have solid experience in maintaining and troubleshooting
 
 mechanical systems, hydraulics, pneumatics, pumps, and power transmission components
 
 . You will ensure equipment reliability through preventive and corrective maintenance, perform root cause analysis for mechanical failures, and apply best practices to improve machine performance and safety.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Ensure the reliability, safety, and optimal performance of all mechanical systems and equipment in the facility.
 </li>
 <li>
 Perform scheduled preventive maintenance, repairs, and overhauls to minimize unplanned downtime.
 </li>
 <li>
 Support root cause analysis of mechanical failures and implement long-term corrective actions.
 </li>
 <li>
 Maintain accurate maintenance records and contribute to continuous improvement initiatives.
 </li>
 <li>
 Collaborate with operations and other engineering disciplines to enhance equipment efficiency and lifespan.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in mechanical engineering or a related field.
 </li>
 <li>
 1&ndash;3 years of experience in mechanical maintenance, preferably in an industrial or manufacturing environment.
 </li>
 <li>
 Strong understanding of mechanical systems, hydraulics, pneumatics, and power transmission components.
 </li>
 <li>
 Proven experience maintaining and repairing rotating equipment (pumps, compressors, gearboxes, conveyors, etc.).
 </li>
 <li>
 Familiarity with preventive and predictive maintenance strategies
 </li>
 <li>
 Proficiency in reading and interpreting mechanical drawings, P&amp;IDs, and technical manuals.
 </li>
 <li>
 Skilled in using precision measurement tools (micrometers, dial indicators, laser alignment tools).
 </li>
 <li>
 Knowledge of safety standards and maintenance best practices (OSHA, LOTO, confined space entry).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Attractive incentives and benefits
 </li>
 <li>
 Medical ,social insurance and life insurance
 </li>
 <li>
 A dynamic, growth-driven work environment
 </li>
 </ul>
</div>

Mechanical Maintenance Engineer

Explore 58+ Machine learning engineer in Giza this October. Find roles across top companies and apply now to boost your career.