planning engineer

material engineer

project engineer

infrastructure engineer

ica engineer

machine engineer

Scale AI

<div>
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 We are hiring multiple Machine Learning Engineers who will leverage the latest research to design, train, deploy, and evaluate computer vision and/or language models to power the custom applications we build for our public sector clients.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector counterparts to deeply understand their challenges
 </li>
 <li>
 Apply the latest research as you design custom models or chains of models
 </li>
 <li>
 Collaborate closely with our data annotation teams to create high-quality training datasets
 </li>
 <li>
 Train, optimize, and deploy models into challenging production environments
 </li>
 <li>
 Develop and maintain robust evaluation systems
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately one week per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;d have:
 
 
 
 <ul>
 <li>
 5+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment
 </li>
 <li>
 Master&rsquo;s or equivalent work experience
 </li>
 <li>
 Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup
 </li>
 <li>
 Experience dealing with large-scale AI problems
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 </li>
 <li>
 Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Machine Learning Engineer, International Public Sector

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, 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 ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as LightGBM, Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Expert in SQL, Python3, and JVM based programming language &ndash; ie, Java or Scala
 </li>
 <li>
 Expert in software design/design patterns, functional programming and object-oriented programming.
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience. A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems and Big Data architecture and techologies
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 </li>
 <li>
 Systems administration skills in Linux
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #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 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #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 #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5
 
 
 
 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>

Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)

EGEC Qatar

Job Summary:Materials Engineer will develop,process,combine and test materials to be used in production.; based on data gathered and expertise. Materials Engineer will also identify and recommend the most appropriate materials for specific applications.Duties and responsibilities :<ul><li>Collaborate with appropriate production and process staff to understand the material specifications sought for a particular application or product.</li><li>Identify, select and recommend material based on weight, strength, heat and cold tolerance, cost and durability.</li><li>Measure performance of various materials in accordance with specifications.</li><li>Observe or participate in product testing process as appropriate.</li><li>Gather data and identify the reasons when a material fails or does not meet specifications.</li><li>Report testing results to material producer</li><li>collaborate with process engineers as part of a development and fabrication team to create new material when none of the suggested materials meet the specifications.</li><li>Perform other duties as assigned</li></ul>Qualifications and Experience:<ul><li>Bachelor's degree in chemical Engineering or Material Science.</li><li>10 years experience using composite materials either as materials or process engineer</li><li>Previous experience with Ashghal</li></ul>Skills:<ul><li>Good analytical and problem solving skills.</li><li>Good verbal and written communication skills</li><li>Good organizational skills and attention to detail</li><li>Ability to work independently and as part of a team</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have experience working with Ashghal?</li><li>What is your current salary?</li><li>What is your expected salary?</li><li>Can you join immediately ?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>material engineering: 10 years (Preferred)</li></ul>License/Certification:<ul><li>ISO certificate (Required)</li></ul>

Material Engineer

Al Mutla Trading W.L.L.

ob Vacancy: Operations Engineer / Production &amp; Fabrication EngineerCompany: Al Mutla Trading &amp; Contracting Location: QatarJob SummaryAl Mutla Trading &amp; Contracting is seeking a highly capable Operations Engineer / Production &amp; Fabrication Engineer to oversee workshop production, steel fabrication operations, and site coordination. The role is hands-on and requires strong technical knowledge in steel fabrication, WPC, aluminum, and outdoor structures, with the ability to manage production schedules, drawings, materials, and manpower efficiently.This position plays a key role in converting approved designs and BOQs into accurate fabrication, smooth production, and timely site execution.Key ResponsibilitiesOperations &amp; Production<ul><li>Plan and manage daily workshop production activities (steel fabrication, gates, carports, pergolas, outdoor structures).</li><li>Coordinate between design, fabrication, procurement, and site teams.</li><li>Prepare and control production schedules to meet project deadlines.</li><li>Monitor material usage, wastage, and workshop efficiency.</li></ul>Fabrication &amp; Technical<ul><li>Review shop drawings, fabrication drawings, and material cut lists.</li><li>Ensure fabrication works comply with approved drawings and specifications.</li><li>Supervise welding, assembly, finishing, and surface treatment (galvanizing / powder coating).</li><li>Provide technical solutions to fabrication and site challenges.</li></ul>Site &amp; Project Support<ul><li>Coordinate with site supervisors for installation and erection activities.</li><li>Conduct site visits for measurements, technical checks, and installation planning.</li><li>Support QS with quantities, variations, and technical clarifications.</li></ul>Quality, Safety &amp; Reporting<ul><li>Ensure quality standards are maintained during fabrication and installation.</li><li>Enforce workshop and site safety procedures.</li><li>Prepare daily/weekly production and progress reports for management.</li></ul>Requirements &amp; Qualifications<ul><li>Bachelor&rsquo;s Degree in Mechanical Engineering, Production Engineering, or related field.</li><li>5+ years experience in steel fabrication and construction operations in Qatar.</li><li>Strong knowledge of steel structures, gates, carports, pergolas, WPC &amp; aluminum works.</li><li>Ability to read and interpret shop drawings and fabrication details.</li><li>Experience coordinating workshops and site teams.</li><li>Proficient in AutoCAD and MS Office.</li><li>Strong leadership, planning, and problem-solving skills.</li><li>Valid Qatar driving license is preferred.</li></ul>Job Type: Full-timePay: QAR3,500.00 - QAR4,500.00 per monthWork Location: In person

Production Engineer

COZMALABS

We are seeking an experienced Data Engineer to join our team on a full-time basis. The ideal candidate will have a strong background in designing, building, and optimizing data pipelines, with a particular focus on enabling AI-driven solutions. This role involves close collaboration with software and AI engineering teams to ensure seamless, reliable data flows and robust cloud-based data integration within Microsoft Azure.Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI initiatives.</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in Azure cloud environments.</li><li>Collaborate with AI engineers to prepare, structure, and deliver high-quality datasets for machine learning models.</li><li>Ensure data pipelines meet security, reliability, and performance standards.</li><li>Monitor, troubleshoot, and improve pipeline performance to guarantee timely and accurate data delivery.</li><li>Implement data governance practices and ensure compliance with data security policies.</li></ul>Required Qualifications<ul><li>Proven experience as a Data Engineer, particularly in building and maintaining complex pipelines for AI or machine learning projects.</li><li>Strong proficiency in SQL and hands-on experience with relational databases (PostgreSQL, SQL Server) and NoSQL systems (e.g., MongoDB).</li><li>Expertise in Azure-based data solutions such as Azure Data Factory, Azure Synapse, and Azure Databricks.</li><li>Experience with data integration and orchestration tools (e.g., Apache Airflow).</li><li>Proficiency in at least one programming language for data workflows (e.g., Python).</li><li>Solid understanding of data warehousing concepts and best practices.</li><li>Strong analytical and problem-solving abilities.</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>Proficiency in English, both written and spoken.</li></ul>Desirable Qualifications<ul><li>Familiarity with machine learning concepts and data preprocessing techniques.</li><li>Knowledge of containerization technologies such as Docker and Kubernetes for deploying data pipelines.</li></ul>Job Type: Full-time

Data Engineer.

Mackins Trading and Contracting Wll

Seeking for the BMS T&amp;C Engineer , Having 3 to 4 Years Experience in Honeywell Alerton SystemJob Type: Full-time

BMS T&C Engineer

Saipem

<div>
 
 Saipem is hiring!
 
 
 
 
 Saipem
 
 is a global leader in the engineering and construction of major projects for the energy and infrastructure sectors, both offshore and onshore. Saipem is &ldquo;One Company&rdquo; organized into business lines:
 
 Asset Based Services, Drilling, Energy Carriers, Offshore Wind, Sustainable Infrastructures, Robotics &amp; Industrialized Solutions.
 
 Always oriented towards technological innovation, the company&rsquo;s purpose is
 
 &ldquo;Engineering for a sustainable future&rdquo;
 
 . As such Saipem is committed to supporting its clients on the energy transition pathway towards Net Zero, with increasingly digital means, technologies and processes geared for environmental sustainability. Listed on the Milan Stock Exchange, it is present in more than 50 countries around the world and employs about
 
 30,000 people of over 130 nationalities.
 
 
 
 
 Purpose Of The Position
 
 
 
 As
 
 Material Engineer
 
 , you will respond to the
 
 Equipment and Materials Manager
 
 and be part of Saipem Qatar within
 
 Engineering Fixed Facilities Department.
 
 
 
 
 How can you support us? Here below your responsibilities:
 
 
 
 
 Mission.
 
 
 
 <ul>
 <li>
 Follow material manufacturing and inspection activities through all its phases, from preliminary engineering to Procurement follow-up
 </li>
 <li>
 Support Bids and Project in the definition of the most effective and competitive solutions for materials manufacturing
 
 
 </li>
 </ul>
 
 Tasks.
 
 
 
 The Engineer executes the activities within the area of responsibility, ensuring the compliance with the QA/QC and HSE requirements.
 
 
 
 Tasks Include
 
 
 
 <ul>
 <li>
 Issue all the documents related to the definition and production of components ( pipe, fittings, etc.) needed for the construction of pipe lines, sea lines, etc.
 </li>
 <li>
 Support procurement and commercial office with technical analysis during project bid phase. Review Saipem Specifications for pipes and fittings manufacturing
 </li>
 <li>
 Support procurement department to establish bidder lists, evaluating and pre-qualifying vendors, bid assessments, audits
 </li>
 <li>
 Review Supplier documentation for compliance with client/international specifications/rules
 </li>
 <li>
 Issue Technical Bid Evaluation for Linepipes and Fittings Supply
 </li>
 <li>
 Assist MPQT, review/comment subcontractor documentation, review the inspection and test plan
 </li>
 <li>
 Discuss and interface with the method project engineers and/or TM during both proposal preparation and projects to identify particular project requirements
 </li>
 <li>
 Liaise with welding , NDT and anticorrosion colleagues to identify critical requirements for product manufacturing that may affect Saipem installation activities and to promote innovative solutions
 </li>
 <li>
 Perform inspection site survey
 </li>
 <li>
 Report for validation to his technical group leader
 </li>
 <li>
 Coordinate material failure analysis
 </li>
 <li>
 Maintain contact with Line pipes manufacturers to be updated on new technologiesent/Materials Selection, in order to optimize overall quality and costs
 </li>
 <li>
 Perform materials selection or validate the materials selection performed by Others, by identification of possible internal and external corrosion mechanisms, taking into account the process data determined by relative disciplines and defining anticorrosion strategies (selection of corrosion resistant material, chemical treatment, painting and coatings, cathodic protection, corrosion allowances and equipment design)
 </li>
 <li>
 Perform the corrosion rate calculation by using recognized models and software for sour and sweet services and evaluation of erosion allowances to validate the materials selection or perform the selection of the right CRA material
 </li>
 <li>
 Select chemical inhibition philosophy (e.g. CO2/H2S corrosion, O2 removal and control, presence of bacteria in oil and gas fluids, water treatment, seawater injection, etc.)
 </li>
 <li>
 Issue corrosion engineering documents
 </li>
 <li>
 Transfer the corrosion strategy to the disciplines responsible of CP, Painting and Coating
 </li>
 <li>
 Interface with other disciplines in order to provide corrosion-related inputs
 
 
 </li>
 </ul>
 
 Project Execution and Operational Phase
 
 
 
 <ul>
 <li>
 Provide technical support to the construction/installation team to solve corrosion-related issues
 </li>
 <li>
 Define laboratories experimental work in corrosion field and coordinate all kind of corrosion-related tests on materials and analysis at qualified laboratories
 </li>
 <li>
 Perform and coordinate materials and corrosion failure analysis upon Project/Assets request at qualified laboratories
 </li>
 <li>
 Participate to Research Projects in the field of corrosion and materials performance
 </li>
 <li>
 Perform on-site corrosion survey in order to provide recommendations and corrective actions
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Education: Master&rsquo;s degree in Materials (preferable) or other Material Engineering degree
 </li>
 <li>
 Experience: + 5 years EPC experience in material and equipment skills expert level.
 </li>
 <li>
 Languages: Proficient in English
 
 
 </li>
 </ul>
 
 Technical Skills / Knowledge With
 
 
 
 <ul>
 <li>
 EPC Experience
 </li>
 <li>
 Company Processes and Procedures
 </li>
 <li>
 Project Management Tools &amp; Methodologies
 </li>
 <li>
 Materials manufacturing, engineering systems, procurement
 </li>
 <li>
 Pipe lines, sea lines
 </li>
 <li>
 Liaise with welding, NDT, anticorrosion, QA/QC and HSE colleagues
 </li>
 <li>
 Engineering standard codes and regulations
 
 
 </li>
 </ul>
 
 IT Skills
 
 
 
 <ul>
 <li>
 Office package (including Microsoft Project)
 </li>
 <li>
 Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
 </li>
 <li>
 Advanced Microsoft Excel skills
 
 
 </li>
 </ul>
 
 What Can We Offer To You
 
 
 
 <ul>
 <li>
 Permanent Contract - Project-based position
 </li>
 <li>
 Corporate Benefits: We offer a comprehensive benefits package
 </li>
 <li>
 Working Hours: 45 hours weekly (9 hours x 5 days)
 </li>
 <li>
 Our One Saipem Way soft skills model leverages on skills development, career growth, opportunities to innovate through complex challenges by promoting communication and collaboration to achieve common goals.
 </li>
 <li>
 Location: Doha, Qatar
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 We support your development!
 
 Do you feel you might not fit this role perfectly? If you think you can contribute to our business development in the future, don&rsquo;t hesitate to apply anyway through our spontaneous application form!
 
 
 
 We embrace diversity!
 
 At Saipem, we believe that innovation thrives through diversity. Our culture is built on mutual respect, collaboration, inclusion and the belief that our differences drive our progress.
 
 
 
 Safety and Sustainability matter to us!
 
 Operating in difficult and at times extreme situations, the focus is always on the health and safety of people and the preservation of the natural ecosystem.
 
 
 
 Find out more on our career page
 
 
 here
 
 
 
 
 One
 
 vision,
 
 many
 
 paths,
 
 limitless
 
 possibilities.
 
 
 PRIVACY POLICY
 
 
 In accordance with the Qatar's Personal Data Privacy Protection Law (PDPPL) enacted as Law No. 13 of 2016 (&ldquo;GDPR&rdquo;). All interested candidates (L. 903/03) are invited to consult the privacy policy (art 13, 14, D.Lgs 196/03 and art 13 GDPR 679/16).
 
 
</div>

Explore 513+ Machine engineer in Doha this December. Find roles across top companies and apply now to boost your career.

513 machine engineer jobs IN Doha

Machine Learning Engineer, International Public Sector

Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)

Material Engineer

Production Engineer

Data Engineer.

BMS T&C Engineer

Material Engineer