planning engineer

lifting engineer

it engineer

mechanical engineer

mechanical technician

machine engineer

TAT IT Technolgies

<div>
 
 We have an urgent requirement for Machine Learning Engineer for our client based in Qatar
 
 
 
 
 Develop and implement machine learning models and algorithms to derive insights, predictions, and recommendations from Labour-related data.--
 
 
 -Must
 
 
 
 
 Strong proficiency in programming languages such as Python, R, or Java, with expertise in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)---
 
 
 Must
 
 
 
 
 deep learning algorithms, neural networks, and convolutional/recurrent architectures.---
 
 
 Must
 
 
 
 
 integrate machine learning models into the LMIS infrastructure, including data pipelines and real-time prediction systems.--
 
 
 Must
 
 
 
 
 Background
 
 
 
 
 Client is seeking a skilled and experienced Machine Learning Engineer to contribute to the development and implementation of a Labour Market Information System (LMIS). The LMIS aims to leverage machine learning algorithms and techniques to automate processes, make predictions, and generate actionable insights. The selected Machine Learning Engineer will play a key role in designing, developing, and deploying machine learning models within the LMIS.
 
 
 
 
 Objectives
 
 
 
 The main objectives of the Machine Learning Engineer are as follows:
 
 
 <ul>
 <li>
 Develop and implement machine learning models and algorithms to derive insights, predictions, and recommendations from Labour-related data.
 </li>
 <li>
 Collaborate with the Data Engineering team to ensure the availability, quality, and preprocessing of data for training and validation purposes.
 </li>
 <li>
 Optimize and fine-tune machine learning models to improve accuracy, performance, and efficiency.
 </li>
 <li>
 Deploy machine learning models within the LMIS infrastructure to enable real-time predictions and analysis.
 </li>
 <li>
 Continuously monitor and evaluate model performance, incorporating feedback and iterative improvements.
 </li>
 <li>
 Stay updated with the latest advancements in machine learning, deep learning, and AI to propose innovative solutions and enhance the LMIS.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 The Machine Learning Engineer will be responsible for the following tasks:
 
 
 <ul>
 <li>
 Collaborate with stakeholders to understand business requirements and identify opportunities for applying machine learning techniques.
 </li>
 <li>
 Perform data preprocessing, feature engineering, and data augmentation to prepare the data for machine learning model development.
 </li>
 <li>
 Develop, implement, and validate machine learning models, including supervised and unsupervised learning algorithms, regression models, and classification models.
 </li>
 <li>
 Optimize models for scalability, performance, and interpretability while ensuring compliance with data privacy and security standards
 </li>
 <li>
 Collaborate with the Data Engineering team to integrate machine learning models into the LMIS infrastructure, including data pipelines and real-time prediction systems.
 </li>
 <li>
 Conduct regular evaluations and model performance monitoring, making necessary adjustments and retraining as needed.
 </li>
 <li>
 Implement version control and documentation processes to maintain model versions and track changes.
 </li>
 <li>
 Collaborate with stakeholders to interpret and present model outputs, insights, and recommendations in a meaningful and actionable manner.
 </li>
 <li>
 Ensure compliance with ethical considerations and legal requirements in the use of machine learning algorithms and data.
 
 
 </li>
 </ul>
 
 Qualifications And Skills
 
 
 
 The ideal candidate should possess the following qualifications and skills:
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Proven experience (at least 3 years) in machine learning model development, implementation, and deployment.
 </li>
 <li>
 Strong proficiency in programming languages such as Python, R, or Java, with expertise in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with data preprocessing, feature engineering, and data augmentation techniques.
 </li>
 <li>
 Understanding of various machine learning algorithms, including supervised and unsupervised learning, regression, and classification.
 </li>
 <li>
 Familiarity with deep learning algorithms, neural networks, and convolutional/recurrent architectures.
 </li>
 <li>
 Knowledge of model evaluation metrics, cross-validation techniques, and hyperparameter tuning.
 </li>
 <li>
 Experience with model deployment and integration in production environments using frameworks like Flask or Docker.
 </li>
 <li>
 Familiarity with cloud platforms and services for scalable model deployment (e.g., AWS, Azure, Google Cloud).
 </li>
 <li>
 Strong problem-solving skills and ability to translate business requirements into machine learning solutions.
 </li>
 <li>
 Excellent communication and collaboration skills to work effectively with stakeholders and contribute to a multidisciplinary team
 
 
 </li>
 </ul>
 
 Deliverables
 
 
 
 The Machine Learning Engineer will be responsible for delivering the following key outputs:
 
 
 <ul>
 <li>
 Developed and validated machine learning models for Labour-related insights, predictions,
 
 
 </li>
 </ul>
 and recommendations.
 
 
 <ul>
 <li>
 Integrated machine learning models into the LMIS infrastructure for real-time predictions.
 </li>
 <li>
 Regular model evaluations and performance monitoring reports.
 </li>
 <li>
 Documentation of machine learning processes, model versions, and deployment procedures
 
 
 </li>
 </ul>
 Skills: machine learning,algorithms,learning
</div>

Machine Learning 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)

we are looking for a mech Engineer fat provided by the companyJob Type: PermanentPay: QAR2,900.00 - QAR3,000.00 per month

Mech Engineer

White Interiors

<div>
 
 Job Title: Production Engineer &ndash; Wood &amp; Steel Furniture Manufacturing
 
 
 
 
 
 Department: Production / Manufacturing
 
 
 
 
 
 Reports To: Production Manager / Plant Head
 
 
 
 
 
 Location: Qatar
 
 
 
 
 
 Job Purpose:
 
 
 
 
 
 To plan, coordinate, and optimize production processes for wood and steel furniture manufacturing, ensuring quality, efficiency, and safety while meeting production targets and delivery schedules.
 
 
 
 
 
 ⸻
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 1. Production Planning &amp; Control
 
 
 &bull;	Develop daily, weekly, and monthly production schedules based on orders and capacity.
 
 
 &bull;	Monitor production progress and ensure timely completion of jobs.
 
 
 &bull;	Coordinate between design, procurement, and quality departments to avoid bottlenecks.
 
 
 
 
 
 2. Process Optimization
 
 
 &bull;	Analyze manufacturing processes for wood and steel furniture (cutting, welding, bending, assembly, finishing, polishing, powder coating, etc.).
 
 
 &bull;	Implement lean manufacturing, 5S, and continuous improvement initiatives to minimize waste and downtime.
 
 
 &bull;	Standardize work instructions and improve workflow efficiency.
 
 
 
 
 
 3. Quality Assurance
 
 
 &bull;	Ensure furniture is produced as per design specifications and quality standards.
 
 
 &bull;	Work with the QA team to identify root causes of defects and implement corrective actions.
 
 
 &bull;	Conduct process audits and ensure adherence to ISO or other quality systems.
 
 
 
 
 
 4. Resource Management
 
 
 &bull;	Supervise and train production operators and technicians.
 
 
 &bull;	Ensure optimal utilization of manpower, machines, and materials.
 
 
 &bull;	Maintain records of production data, maintenance schedules, and performance metrics.
 
 
 
 
 
 
 
 
 Job Type: Full-time
 
 
 
 
 
 Experience:
 
 
 &bull;	FIT OUT SITE ENGINEER: 2 years (Required)
 
 
 
 
 
 
 
 <ul>
 <li>
 Send Your CV and covering letter to Email:&nbsp;admin@whiteinteriorsqatar.com
 </li>
 </ul>
</div>

Production Engineer

JBK controls W.L.L

Company DescriptionJBK Controls is part of the JBK Group, a leading Systems Integrator headquartered in Doha, Qatar. We have proven expertise in centrally controlled and integrated Security, Safety, Automation &amp; IT Systems for a range of projects in commercial, industrial, and Oil &amp; Gas sectors. With over 48 years of experience, JBK Controls offers timely and cost-effective solutions with manpower and technical expertise.Role Description This is a full-time on-site role for a Mechanical Engineer at JBK Controls in Doha, Qatar. The Mechanical Engineer will be responsible for tasks related to mechanical engineering, machine design, computer-aided design (CAD), project management, and research and development (R&amp;D).Qualifications include<ul><li>Mechanical Engineering and Machine Design skills</li><li>Proficiency in Computer-Aided Design (CAD)</li><li>Experience in Project Management and Research and Development (R&amp;D)</li><li>Strong problem-solving and analytical skills</li><li>Excellent communication and teamwork abilities</li><li>Bachelor's degree in mechanical engineering or related field</li><li>Experience in the industrial or Oil &amp; Gas sector is a plus</li></ul>We prefer candidates with 1 to 5 years of relevant experience with transferable NOC available.Local hire onlyInterested candidates can share their updated CV to recruitment@jbkcontrols.comJob Types: Full-time, PermanentEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>ELV: 1 year (Required)</li></ul>

Mechanical Engineer

Madre Integrated Engineering

<div>
 
 Gigamon Engineer
 
 
 Role overview
 
 
 A Gigamon Engineer is responsible for designing, deploying, and operating Gigamon
 
 
 visibility/packet broker platforms that provide traffic to security, monitoring, and
 
 
 performance tools in enterprise or service provider networks. The role often includes
 
 
 acting as a subject matter expert to optimize traffic flows, filters, and policies for security
 
 
 and NOC teams.
 
 
 Key responsibilities
 
 
  Design and implement Gigamon visibility solutions, including GigaVUE nodes,
 
 
 cluster design, and integration with core, data center, and cloud networks.
 
 
  Configure and manage flow maps, filters, load balancing, deduplication, header
 
 
 stripping, and SSL/TLS decryption as required by security and monitoring tools.
 
 
  Integrate Gigamon with IDS/IPS, firewalls, SIEM, APM/NPM, and other analytics
 
 
 platforms, ensuring the right traffic reaches the right tools without
 
 
 oversubscription.
 
 
  Monitor platform health, capacity, and performance; plan upgrades, patches, and
 
 
 expansions in coordination with network and security teams.
 
 
  Troubleshoot packetlevel issues, visibility gaps, and tool performance problems
 
 
 using SPAN/TAPs, Gigamon nodes, and protocol analyzers like Wireshark.
 
 
  Create and maintain design documents, runbooks, and standard operating
 
 
 procedures for Gigamon operations.
 
 
  Provide knowledge transfer, training, and advisory support to customer or internal
 
 
 teams on best practices for traffic visibility and usecase design.
 
 
 Required skills and experience
 
 
  Strong background in enterprise or data center networking (routing, switching,
 
 
 VLANs, trunks, SPAN, TAPs, L2/L3 protocols).
 
 
  Handson experience with Gigamon visibility appliances (e.g., GigaVUE series)
 
 
 including clustering, management (H/Vision), and advanced traffic policies.
 
 
  Familiarity with security and monitoring tools (IDS/IPS, firewalls, WAF, DLP,
 
 
 NPM/APM, SIEM) and how they consume mirrored traffic.
 
</div>

Gigamon Engineer

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