Machine operator Jobs

Apply<br><br>DYNAPAC GROUP"><br><br>DYNAPAC GROUP<br><br>Jebel Ali Free Zone, Dubai"><br><br>Jebel Ali Free Zone, Dubai<br><br>03/07/2026<br><br>DYN-MEA-002<br><br>About Us<br><br>Dynapac is a leading supplier of high-tech soil and asphalt rollers, pavers and compact equipment, committed to strengthen customer performance by being a partner on the road ahead. Dynapac is represented worldwide via its own regional sales- and service offices and cooperates with an extensive and professional distribution network. Headquartered in Wardenburg, Germany, Dynapac has production facilities in Europe, South America, and Asia. Dynapac is part of the FAYAT Group.<br><br>Our offer<br><br>We are looking for a<br><br>REGIONAL PRODUCT SUPPORT SPECIALIST - MIDDLE EAST & TURKEY<br><br>Department: Aftermarket<br><br>Location: Dubai, UAE<br><br>Recruiting Manager: Hisham Loay, Regional Aftermarket Manager<br><br>Role Overview<br><br>Dynapac is seeking a highly motivated and technically skilled Regional Product Support Specialist to support our dealer network and customers across the Middle East and Turkey. The successful candidate will serve as the primary technical expert for Dynapac equipment, providing field troubleshooting through dealers, dealer coaching, warranty administration, machine commissioning, and technical liaison support between dealers, customers, and Dynapac factories. Dynapac range of equipment includes Rollers, Pavers, Feeders, and Light Equipment.<br><br>This role requires extensive field engagement, strong diagnostic capabilities, and the ability to develop dealer service capabilities while ensuring high levels of customer satisfaction and equipment uptime.<br><br>Key Responsibilities<br><br>Dealer Development & Coaching<br><br>Act as the primary product support & technical interface for the regional dealer network. Coach dealers and customers on machine applications, best operating practices, and the safe and efficient use of Dynapac equipment. Develop dealer service capabilities through hands-on coaching and technical training, enhancing diagnostic, troubleshooting, and repair competencies. Conduct regular dealer visits to evaluate workshop standards, service quality, and technical competencies. Support dealers and customers in implementing service best practices and improving customer support performance.<br><br>Technical Support & Service<br><br>Assist key customers and dealers during major projects and critical machine delivery. Provide advanced technical support for Dynapac products Diagnose and resolve complex machine, hydraulic, electrical, electronic, and engine-related issues in the field. Support dealers and customers in troubleshooting machine breakdowns and performance concerns.<br><br>Warranty & Quality Management<br><br>Manage warranty claims review, validation, and submission through warranty management system in accordance with company policies Analyze warranty trends, product issues & collaborate with dealers and factories to drive corrective and preventive actions. Maintain detailed technical reports and service documentation.<br><br>Dealer & Product Company Coordination<br><br>Serve as the key liaison between regional dealers & Dynapac Product Companies (PC). Lead product introductions, investigations, technical solutions, product updates, and field actions. Implement of PC recommendations and technical campaigns within the region.<br><br>About You<br><br>Bachelor's Degree or Diploma in Mechanical, Electrical, Automotive, Industrial Engineering, or a related technical discipline. Minimum 5 years of experience in technical support, field service, or aftermarket operations within construction equipment, road machinery, or heavy equipment industries. Hands-on troubleshooting experience with hydraulic, electrical, electronic, and engine systems. Experience with pavers, rollers, asphalt equipment, or similar heavy machinery is highly preferred. Customer-focused with strong problem-solving skills Willingness to travel extensively in the region Well-organized with effective planning and prioritization abilities Positive, proactive, and solution-oriented mindset Strong team player who performs well under pressure Excellent communication and relationship-building skills. Fluent English (written and spoken) is mandatory. Arabic, Turkish, or French language skills would be advantageous.<br><br>Back<br><br>Apply

Our client is a leading government entity dedicated to driving innovation and supporting strategic national initiatives. The organization partners with various government stakeholders to develop sustainable solutions, strengthen local capabilities, and contribute to the country's long-term economic and technological development. Our client is a leading government entity driving innovation and digital transformation across strategic national initiatives. They are looking for an experienced AI Engineer / AI Manager to design, build, and deploy enterprise AI solutions that enable data-driven decision-making and improve business operations. This is an exciting opportunity to work on cutting-edge AI initiatives in a collaborative, high-impact environment.<br><br>Key Responsibilities<br><br>Design, develop, deploy, and maintain AI and machine learning solutions. Build and optimize ML models for production environments. Develop and maintain scalable data pipelines and feature engineering workflows. Monitor model performance, accuracy, and drift while continuously improving solutions. Collaborate with data scientists, analysts, engineers, and business stakeholders to deliver AI-driven products. Integrate AI models into enterprise applications and business processes. Ensure AI solutions comply with governance, security, and data privacy standards. Evaluate emerging AI technologies and contribute to AI platform and architecture decisions. Support the full AI lifecycle, from development through deployment and ongoing optimization.<br><br>Key Requirements<br><br>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.3-10 years of experience in AI, Machine Learning, or Software Engineering. Strong programming skills in Python. Hands-on experience with Tensor Flow, PyTorch, or similar AI frameworks. Experience deploying machine learning models into production environments. Knowledge of MLOps, model deployment, and monitoring. Experience with cloud-based AI platforms or enterprise AI infrastructure. Understanding of feature engineering, data pipelines, and software engineering best practices. Knowledge of Responsible AI, AI governance, model explainability, and AI security principles is highly desirable. Professional certifications in AI, Machine Learning, Cloud, or MLOps are a plus. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. A collaborative mindset with the ability to work across cross-functional teams. Passion for innovation and continuous learning. Ability to build scalable, reliable, and secure AI solutions.<br><br>Why Apply?<br><br>Work on impactful AI transformation initiatives. Collaborate with highly skilled technical teams. Exposure to enterprise-scale AI platforms and emerging technologies. Excellent opportunities for professional development and career growth. Competitive salary and benefits package.

Our client is a leading government entity dedicated to driving innovation and supporting strategic national initiatives. The organization partners with various government stakeholders to develop sustainable solutions, strengthen local capabilities, and contribute to the country's long-term economic and technological development. Our client is a leading government entity driving innovation and digital transformation across strategic national initiatives. They are looking for an experienced AI Engineer / AI Manager to design, build, and deploy enterprise AI solutions that enable data-driven decision-making and improve business operations. This is an exciting opportunity to work on cutting-edge AI initiatives in a collaborative, high-impact environment.<br><br>Key Responsibilities<br><br>Design, develop, deploy, and maintain AI and machine learning solutions. Build and optimize ML models for production environments. Develop and maintain scalable data pipelines and feature engineering workflows. Monitor model performance, accuracy, and drift while continuously improving solutions. Collaborate with data scientists, analysts, engineers, and business stakeholders to deliver AI-driven products. Integrate AI models into enterprise applications and business processes. Ensure AI solutions comply with governance, security, and data privacy standards. Evaluate emerging AI technologies and contribute to AI platform and architecture decisions. Support the full AI lifecycle, from development through deployment and ongoing optimization.<br><br>Key Requirements<br><br>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.3-10 years of experience in AI, Machine Learning, or Software Engineering. Strong programming skills in Python. Hands-on experience with Tensor Flow, PyTorch, or similar AI frameworks. Experience deploying machine learning models into production environments. Knowledge of MLOps, model deployment, and monitoring. Experience with cloud-based AI platforms or enterprise AI infrastructure. Understanding of feature engineering, data pipelines, and software engineering best practices. Knowledge of Responsible AI, AI governance, model explainability, and AI security principles is highly desirable. Professional certifications in AI, Machine Learning, Cloud, or MLOps are a plus. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. A collaborative mindset with the ability to work across cross-functional teams. Passion for innovation and continuous learning. Ability to build scalable, reliable, and secure AI solutions.<br><br>Why Apply?<br><br>Work on impactful AI transformation initiatives. Collaborate with highly skilled technical teams. Exposure to enterprise-scale AI platforms and emerging technologies. Excellent opportunities for professional development and career growth. Competitive salary and benefits package.

Azure AI Engineer - Abu Dhabi - 12 Month Contract <br>Location: Abu Dhabi, UAE – Onsite Contract: 12 months Salary: AED 18,000–20,000 per month Benefits: Employment visa and healthcare provided<br>Our Consultancy client is seeking an experienced Azure AI/ML Engineer to join a major healthcare technology programme in Abu Dhabi.<br>You will be responsible for designing, building, deploying and supporting production-grade AI, machine learning, generative AI, computer vision and agentic workflow solutions. This role will focus on transforming data science prototypes and clinical innovation concepts into secure, scalable and reliable AI services integrated with healthcare data platforms, clinical systems and digital applications.<br>Required Experience Strong production-level software engineering experience using Python. Experience with an additional programming language such as C#, Java, Scala, Go or Type Script. Hands-on experience building, deploying and supporting production AI, ML or Gen AI solutions. Strong knowledge of frameworks such as PyTorch, Tensor Flow, Keras, scikit-learn and Hugging Face. Experience with MLOps or LLMOps, including CI/CD, MLflow, model registries, experiment tracking and model monitoring. Azure cloud experience, ideally including:Azure Machine Learning Azure AI Foundry Azure Open AIAKS/Kubernetes Docker Azure Databricks Microsoft Fabric Azure Data Lake Azure Key Vault Terraform or other infrastructure-as-code tools Experience with RAG, embeddings, vector databases, prompt management, guardrails and agent orchestration.<br>Key Responsibilities Design and deliver secure, scalable and maintainable production AI and machine learning services. Develop batch, real-time, streaming, API-based and event-driven AI architectures. Build reusable ML platform capabilities, including experiment tracking, feature stores, vector stores, model registries and automated deployment pipelines. Containerise, deploy and scale machine learning, deep learning, computer vision and generative AI models. Optimise model performance, latency, GPU utilisation, throughput and cloud costs. Build ML-ready data pipelines using SQL, Spark, lakehouse and streaming technologies. Develop secure LLM applications using Azure Open AI, Azure AI Foundry, RAG, embeddings, vector search and agentic AI. Implement MLOps and LLMOps practices, including CI/CD, Git Ops, automated testing, model monitoring, retraining triggers and rollback strategies. Deploy computer vision and multimodal AI solutions for medical imaging, clinical video and document processing. Develop APIs, microservices, SDKs and integration services that embed AI outputs into clinical and operational applications. Monitor model performance, data drift, hallucination, grounding, latency, service health and cost. Implement responsible AI, security, privacy, audit logging and healthcare data protection controls. Work closely with data scientists, clinicians, cloud engineers, cybersecurity specialists and product teams.

<h2>Job Description</h2><p><strong>Unseen Era is hiring a Sales &amp; Business Development Executive – Industrial Automation in Dubai, UAE.</strong></p><p>The role involves regular factory visits, industrial customer development, enquiry generation and follow-up for Machine Vision, Sensors, PLC/SCADA Automation, Industrial IoT, Traceability, Robotics and Custom Automation Solutions.</p><p>Candidates should be comfortable with intensive field sales and independently meeting Production, Maintenance, Engineering and Purchase teams at manufacturing companies.</p><p><strong>Preferred experience:</strong> Industrial B2B field-sales experience preferred</p><p><strong>Location:</strong> Dubai, UAE</p><p><strong>Experience:</strong> 0–3 years preferred</p><p><strong>Salary:</strong> AED 1,500–3,500 + incentives, depending on experience</p><p><strong>UAE Driving Licence:</strong> Preferred</p><p><strong>This is primarily a field-sales role. Candidates should be comfortable regularly visiting factories and industrial areas.</strong></p><h2>Skills</h2><p>B2B Sales, Industrial Sales, Field Sales, Business Development, Technical Sales, Industrial Automation, Sensors, Machine Vision, Lead Generation, Customer Acquisition, CRM, UAE Driving Licence</p>

<ul><li><p>The Forklift Operator is responsible for safely operating forklifts to transport, load, unload, and store steel materials, finished products, and raw materials within the factory and warehouse. The role ensures efficient material handling while maintaining safety, quality, and productivity standards. Key Responsibilities Operate forklifts safely to move steel materials, finished goods, and raw materials. Load and unload trucks, trailers, and containers. Transport materials between production, storage, and dispatch areas. Stack and store materials in designated locations following warehouse procedures. Perform daily pre-operation inspections and report any mechanical issues immediately. Ensure materials are handled carefully to prevent damage. Assist with inventory movement and stock organization. Follow loading plans and supervisor instructions. Maintain a clean and organized work area. Comply with company safety policies and wear the required PPE at all times. Support production and warehouse operations as required.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>High school education or equivalent. Valid UAE Forklift Operator License/Certification. Minimum 2–3 years of forklift operating experience, preferably in a steel manufacturing or fabrication environment. Experience handling long, heavy steel sections and fabricated products is an advantage. Basic understanding of warehouse operations and safety procedures. Ability to work in a fast-paced industrial environment. Good communication skills in basic English.</p></li></ul>

<p>We are seeking a skilled and reliable Radio Operator to join our offshore construction team in Abu Dhabi. The successful candidate will be responsible for maintaining seamless communication between the offshore site and onshore teams, ensuring safety protocols and operational efficiency in a fast-paced environment. Responsibilities: - Operate and maintain radio communication equipment to facilitate clear and effective communication. - Monitor radio transmissions to ensure compliance with established protocols and safety standards. - Coordinate communication between offshore construction teams and onshore support personnel. - Report and document any communication issues or equipment malfunctions promptly. - Assist in emergency communication procedures and support safety drills as required. - Maintain logs and records of daily radio communications and incidents. - Stay updated with the latest radio operation procedures and safety regulations applicable to offshore construction environments.</p><p>- Proven experience as a Radio Operator, preferably in offshore construction or related industries. - Excellent verbal communication skills and ability to operate radio equipment effectively. - Strong understanding of safety protocols and emergency communication procedures. - Ability to work under pressure and in challenging offshore conditions. - Attention to detail and strong organizational skills for maintaining logs and records. - Familiarity with radio communication technologies and troubleshooting techniques. - Valid certifications or training relevant to radio operation will be considered an advantage. - Flexibility to work in shifts and adhere to offshore work schedules.</p>

<ul><li>Design and implement end-to-end AI solutions, from data ingestion and preprocessing to model deployment and monitoring.</li><li>Develop and optimize machine learning algorithms and deep learning models for various applications, ensuring scalability and performance.</li><li>Build robust APIs and microservices to integrate AI models into existing software architectures and applications.</li><li>Create user-friendly interfaces and dashboards for interacting with AI systems and visualizing model outputs.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>System design & architecture (microservices, agent-based systems)</p></li><li><p>REST API & gRPC integration</p></li><li><p>Python backend development</p></li><li><p>Kubernetes/AKS, Helm, progressive delivery (canary/blue-green)</p></li><li><p>Azure cloud services, APIM</p></li><li><p>Semantic Kernel / Microsoft Agent Framework (or similar agent orchestration frameworks) — good to have</p></li><li><p>SSE streaming & async job/task management</p></li><li><p>MongoDB / Cosmos DB</p></li><li><p>Logging, monitoring & observability (Dynatrace, OpenTelemetry — good to have)</p></li><li><p>CI/CD pipelines</p></li><li><p>JWT/OAuth2 authentication patterns</p></li></ul>

Job Title: Data Scientist Location: Abu Dhabi (On site)**This role requires relocation to Abu Dhabi**<br>We’re hiring Data Scientists to join one of our clients. If you’re passionate about turning data into meaningful insights and building impactful AI solutions, we’d love to hear from you.<br>What you’ll be doing In this role, you’ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.<br>Key Responsibilities Work with large, complex datasets to solve real-world business problems Collect, clean, and preprocess data for analysis and model training Perform exploratory data analysis (EDA) to uncover insights and guide model development Build, train, and optimize machine learning models using modern algorithms and frameworks Develop end-to-end ML pipelines, from data ingestion to model deployment Automate model training, testing, and deployment using CI/CD and MLOps tools Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions<br>What we’re looking for5+ years of experience in data science, machine learning, or AIStrong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs) Proficiency in Python, with working knowledge of SQLExperience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop) Understanding of model serving, APIs (Fast API, Flask), and optimizing models for real-time or batch inference Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. Sage Maker, Vertex AI) Bachelor’s degree in Computer Science, Engineering, or a related field<br>If this sounds like the right next step for you, apply now!

Job Title: Data Scientist Location: Abu Dhabi (On site)**This role requires relocation to Abu Dhabi**<br>We’re hiring Data Scientists to join one of our clients. If you’re passionate about turning data into meaningful insights and building impactful AI solutions, we’d love to hear from you.<br>What you’ll be doing In this role, you’ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.<br>Key Responsibilities Work with large, complex datasets to solve real-world business problems Collect, clean, and preprocess data for analysis and model training Perform exploratory data analysis (EDA) to uncover insights and guide model development Build, train, and optimize machine learning models using modern algorithms and frameworks Develop end-to-end ML pipelines, from data ingestion to model deployment Automate model training, testing, and deployment using CI/CD and MLOps tools Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions<br>What we’re looking for5+ years of experience in data science, machine learning, or AIStrong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs) Proficiency in Python, with working knowledge of SQLExperience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop) Understanding of model serving, APIs (Fast API, Flask), and optimizing models for real-time or batch inference Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. Sage Maker, Vertex AI) Bachelor’s degree in Computer Science, Engineering, or a related field<br>If this sounds like the right next step for you, apply now!

Job Title: Data Scientist Location: Abu Dhabi (On site)**This role requires relocation to Abu Dhabi**<br>We’re hiring Data Scientists to join one of our clients. If you’re passionate about turning data into meaningful insights and building impactful AI solutions, we’d love to hear from you.<br>What you’ll be doing In this role, you’ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.<br>Key Responsibilities Work with large, complex datasets to solve real-world business problems Collect, clean, and preprocess data for analysis and model training Perform exploratory data analysis (EDA) to uncover insights and guide model development Build, train, and optimize machine learning models using modern algorithms and frameworks Develop end-to-end ML pipelines, from data ingestion to model deployment Automate model training, testing, and deployment using CI/CD and MLOps tools Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions<br>What we’re looking for5+ years of experience in data science, machine learning, or AIStrong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs) Proficiency in Python, with working knowledge of SQLExperience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop) Understanding of model serving, APIs (Fast API, Flask), and optimizing models for real-time or batch inference Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. Sage Maker, Vertex AI) Bachelor’s degree in Computer Science, Engineering, or a related field<br>If this sounds like the right next step for you, apply now!

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Perform preventive and corrective maintenance of production machinery and equipment.</p></li><li><p>Diagnose and repair mechanical faults to minimize machine downtime.</p></li><li><p>Conduct routine inspections and maintenance activities according to schedules.</p></li><li><p>Maintain machinery performance and support continuous improvement initiatives.</p></li><li><p>Assist in machine installation, commissioning, and modification projects.</p></li><li><p>Ensure proper documentation of maintenance activities and spare parts usage.</p></li><li><p>Follow company safety procedures and maintain a safe working environment.</p></li><li><p>Coordinate with production teams to resolve machine-related issues efficiently.</p></li><li><p>Support automation-related maintenance activities in cabinetry production areas.</p></li><li><p>Maintain housekeeping standards within the maintenance workshop and factory.</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>ITI Technician (2 years) or Technical Diploma (3 years) in Mechanical Engineering, Mechatronics, or a related discipline.</p></li><li><p>Minimum 5 years of maintenance experience in industrial machinery.</p></li><li><p>Experience in furniture manufacturing or woodworking machinery is preferred.</p></li><li><p>Strong knowledge of mechanical systems and maintenance practices.</p></li><li><p>Working knowledge of mechatronics.</p></li><li><p>Basic automation knowledge; advanced automation skills are an added advantage.</p></li><li><p>Ability to read technical drawings and maintenance manuals.</p><br></li></ol><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul><li>Operate paper cutting machines, guillotines, binders, and related finishing equipment.</li><li>Read and interpret job orders, production , and specifications.</li><li>Set up machines for cutting, trimming, folding, binding, and finishing operations.</li><li>Measure and inspect finished products to ensure accuracy and quality standards are met.</li><li>Monitor machine performance and make necessary adjustments during production.</li><li>Perform routine maintenance, cleaning, and minor repairs on equipment.</li><li>Maintain production records and report equipment issues to supervisors.</li><li>Ensure proper handling and storage of paper, printed materials, and finished products.</li><li>Follow workplace safety procedures and maintain a clean work environment.</li><li>Assist with packaging and preparation of completed jobs for delivery or distribution.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Experience operating paper cutting and bindery equipment</p><p>Strong measuring and precision-cutting skills</p><p>Knowledge of print finishing processes</p><p>Ability to perform machine setup, adjustments, and basic maintenance</p><p>Excellent attention to detail and quality standards</p><p>Ability to read production specifications and work orders</p><p>Commitment to workplace safety procedures</p><p>Good organizational and time-management skills</p></div>

Location: Flexible / Hybrid Experience: 3–7+ years Employment Type: Full-time About the Role We are looking for a talented Software Engineer to design, develop, and maintain intelligent automation and risk management solutions. The ideal candidate has strong experience in Python and Java, hands-on knowledge of Machine Learning and Robotic Process Automation (RPA), and exposure to financial risk control (风控/Fankong), AML, or fraud detection systems. Responsibilities Design, develop, and maintain scalable backend applications using Python and Java. Build and deploy Machine Learning models for automation, prediction, and risk analysis. Develop and maintain RPA workflows to automate business processes. Integrate applications with APIs, databases, and enterprise systems. Develop and enhance risk control (Fankong), fraud detection, and AML monitoring solutions. Optimize application performance, reliability, and security. Collaborate with cross-functional teams to deliver high-quality software. Write clean, maintainable, and well-tested code. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field.3–7+ years of software development experience. Strong programming skills in Python and Java. Experience with Machine Learning frameworks such as Tensor Flow, PyTorch, or scikit-learn. Experience with RPA platforms such as UiPath, Automation Anywhere, or Blue Prism. Solid understanding of REST APIs, SQL/NoSQL databases, and microservices architecture. Familiarity with Git, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP). Nice to Have Experience with large language models (LLMs) or Generative AI. Knowledge of data engineering and ETL pipelines. Professional certifications in cloud, AI, or RPA technologies. What We Offer Competitive salary and benefits. Opportunities to work on AI-driven and intelligent automation projects. Professional development and certification support. Collaborative and innovative work environment.

Role: AI Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Engineer to develop and deploy machine learning models for real-time data processing. The role involves designing algorithms to improve automated decision-making systems. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing infrastructure.<br>Key Responsibilities:• Develop and optimize AI models for classification, regression, and clustering tasks.• Implement and maintain scalable machine learning pipelines for data ingestion and processing.• Collaborate with software engineers to deploy AI models into production environments.• Analyze model performance and iterate based on feedback and metrics.• Ensure compliance with data privacy and security protocols in all AI implementations.<br>Required Skills & Qualifications:• Proficiency in Python, with experience in libraries such as Tensor Flow or PyTorch.• Strong background in machine learning algorithms and statistical modeling.• Experience with data preprocessing, feature engineering, and model evaluation.• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) for model deployment.• Knowledge of MLOps practices and tools for CI/CD in AI workflows.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to advancements in automated decision-making systems. The project focuses on enhancing real-time data processing capabilities for enterprise applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: AI Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Engineer to develop and deploy machine learning models for real-time data processing. The role involves designing algorithms to improve automated decision-making systems. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing infrastructure.<br>Key Responsibilities:• Develop and optimize AI models for classification, regression, and clustering tasks.• Implement and maintain scalable machine learning pipelines for data ingestion and processing.• Collaborate with software engineers to deploy AI models into production environments.• Analyze model performance and iterate based on feedback and metrics.• Ensure compliance with data privacy and security protocols in all AI implementations.<br>Required Skills & Qualifications:• Proficiency in Python, with experience in libraries such as Tensor Flow or PyTorch.• Strong background in machine learning algorithms and statistical modeling.• Experience with data preprocessing, feature engineering, and model evaluation.• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) for model deployment.• Knowledge of MLOps practices and tools for CI/CD in AI workflows.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to advancements in automated decision-making systems. The project focuses on enhancing real-time data processing capabilities for enterprise applications.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Position: Artificial Intelligence (AI) Executive – Fresh Graduate Location: Sharjah Employment Type: Full-Time Nationality: UAE National (Emirati) with Family Book<br>Job Summary We are seeking a motivated and enthusiastic Artificial Intelligence (AI) Executive to join our team. This opportunity is ideal for a fresh graduate who is passionate about AI, machine learning, data analytics, and emerging technologies. The selected candidate will support the implementation of AI-driven solutions, process automation initiatives, data analysis projects, and digital transformation activities across the organization. Key Responsibilities Assist in the development, testing, and implementation of AI and machine learning solutions. Support data collection, cleansing, validation, and analysis for AI projects. Conduct research on emerging AI technologies, tools, and industry trends. Assist in creating AI-powered reports, dashboards, and business insights. Collaborate with various departments to identify opportunities for automation and process improvement. Support the integration of AI applications into existing business processes. Prepare project documentation, user guides, and technical reports. Monitor AI system performance and provide recommendations for enhancements. Participate in digital transformation and innovation initiatives. Ensure compliance with company policies, data privacy, and information security requirements. Qualifications & Requirements UAE National (Emirati) with a valid Family Book. Bachelor's Degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, Software Engineering, Computer Engineering, or a related field. Fresh graduates are encouraged to apply. Basic understanding of Artificial Intelligence, Machine Learning, Data Analytics, and Automation concepts. Familiarity with AI tools, data visualization platforms, and Microsoft Office applications. Strong analytical and problem-solving skills. Good communication and presentation skills. Ability to learn quickly and work effectively in a team environment. Proactive, innovative, and eager to explore new technologies.

Position: Artificial Intelligence (AI) Executive – Fresh Graduate Location: Sharjah Employment Type: Full-Time Nationality: UAE National (Emirati) with Family Book<br>Job Summary We are seeking a motivated and enthusiastic Artificial Intelligence (AI) Executive to join our team. This opportunity is ideal for a fresh graduate who is passionate about AI, machine learning, data analytics, and emerging technologies. The selected candidate will support the implementation of AI-driven solutions, process automation initiatives, data analysis projects, and digital transformation activities across the organization. Key Responsibilities Assist in the development, testing, and implementation of AI and machine learning solutions. Support data collection, cleansing, validation, and analysis for AI projects. Conduct research on emerging AI technologies, tools, and industry trends. Assist in creating AI-powered reports, dashboards, and business insights. Collaborate with various departments to identify opportunities for automation and process improvement. Support the integration of AI applications into existing business processes. Prepare project documentation, user guides, and technical reports. Monitor AI system performance and provide recommendations for enhancements. Participate in digital transformation and innovation initiatives. Ensure compliance with company policies, data privacy, and information security requirements. Qualifications & Requirements UAE National (Emirati) with a valid Family Book. Bachelor's Degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, Software Engineering, Computer Engineering, or a related field. Fresh graduates are encouraged to apply. Basic understanding of Artificial Intelligence, Machine Learning, Data Analytics, and Automation concepts. Familiarity with AI tools, data visualization platforms, and Microsoft Office applications. Strong analytical and problem-solving skills. Good communication and presentation skills. Ability to learn quickly and work effectively in a team environment. Proactive, innovative, and eager to explore new technologies.

Position: Artificial Intelligence (AI) Executive – Fresh Graduate Location: Sharjah Employment Type: Full-Time Nationality: UAE National (Emirati) with Family Book<br>Job Summary We are seeking a motivated and enthusiastic Artificial Intelligence (AI) Executive to join our team. This opportunity is ideal for a fresh graduate who is passionate about AI, machine learning, data analytics, and emerging technologies. The selected candidate will support the implementation of AI-driven solutions, process automation initiatives, data analysis projects, and digital transformation activities across the organization. Key Responsibilities Assist in the development, testing, and implementation of AI and machine learning solutions. Support data collection, cleansing, validation, and analysis for AI projects. Conduct research on emerging AI technologies, tools, and industry trends. Assist in creating AI-powered reports, dashboards, and business insights. Collaborate with various departments to identify opportunities for automation and process improvement. Support the integration of AI applications into existing business processes. Prepare project documentation, user guides, and technical reports. Monitor AI system performance and provide recommendations for enhancements. Participate in digital transformation and innovation initiatives. Ensure compliance with company policies, data privacy, and information security requirements. Qualifications & Requirements UAE National (Emirati) with a valid Family Book. Bachelor's Degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, Software Engineering, Computer Engineering, or a related field. Fresh graduates are encouraged to apply. Basic understanding of Artificial Intelligence, Machine Learning, Data Analytics, and Automation concepts. Familiarity with AI tools, data visualization platforms, and Microsoft Office applications. Strong analytical and problem-solving skills. Good communication and presentation skills. Ability to learn quickly and work effectively in a team environment. Proactive, innovative, and eager to explore new technologies.

<ul><li><p>Supervise and coordinate daily production activities to meet production schedules and customer requirements.</p></li><li><p>Allocate manpower, machines, and materials efficiently.</p></li><li><p>Monitor production output and ensure targets are achieved.</p></li><li><p>Monitor machine performance and process parameters.</p></li><li><p>Supervise, train, and motivate production operators and technicians</p></li><li><p>Reduce scrap, rejects, and production waste.</p></li><li><p>Coordinate preventive maintenance activities.</p></li><li><p>Report machine faults and follow up on repairs.</p></li><li><p>Record downtime, machine efficiency, rejects, and production output.</p></li><li><p>Maintain shift logs and production records.</p></li><li><p>Report production performance to management.</p></li><li><p>Identify opportunities to improve productivity and efficiency.</p></li><li><p>Participate in Lean Manufacturing, Six Sigma, 5S, or Kaizen initiatives.</p></li><li><p>Recommend process improvements to reduce costs and improve quality.</p></li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Diploma or bachelor's degree in mechanical engineering, Manufacturing Engineering, Industrial Engineering, Polymer Engineering</p></li><li><p>3–7 years of experience in plastics manufacturing</p></li><li><p>Experience with injection molding, blow molding, extrusion, thermoforming, or related plastic processing operations</p></li><li><p>Proficiency in Microsoft Office and ERP systems (SAP, Oracle)</p><br></li></ul>