وظائف مشغل ماكينة - دبي الإمارات

<ul><li><p>AI & ML Engineering</p><ul><li><p>Develop, deploy, and optimize machine learning and deep learning models.</p></li><li><p>Build AI solutions for NLP, computer vision, predictive analytics, and intelligent automation.</p></li><li><p>Integrate AI services into enterprise applications and internal platforms.</p></li></ul><p>Generative AI</p><ul><li><p>Develop LLM-based applications, AI copilots, and RAG solutions.</p></li><li><p>Implement prompt engineering, model evaluation, embeddings, and semantic search.</p></li><li><p>Optimize model performance, scalability, and cost.</p></li></ul><p>Agentic AI</p><ul><li><p>Design and deploy autonomous and multi-agent AI systems.</p></li><li><p>Develop agent orchestration, planning, reasoning, memory, and tool integration.</p></li><li><p>Implement human-in-the-loop approvals and enterprise workflow automation.</p></li></ul><p>AI Operations (MLOps / LLMOps / AgentOps)</p><ul><li><p>Build CI/CD pipelines for AI models and agents.</p></li><li><p>Monitor AI systems for performance, drift, hallucinations, security, and reliability.</p></li><li><p>Manage model versioning, deployment, observability, and lifecycle operations.</p></li></ul><p>AI Governance & Responsible AI</p><ul><li><p>Implement AI governance, model risk management, and Responsible AI practices.</p></li><li><p>Maintain model documentation, validation, audit readiness, and compliance.</p></li><li><p>Ensure fairness, traceability, maintainability, privacy, and regulatory adherence.</p></li></ul><p>Agent Governance & Security</p><ul><li><p>Govern AI agent lifecycle, identity, access, and runtime controls.</p></li><li><p>Implement guardrails, audit logging, and secure integration with enterprise systems.</p></li><li><p>Protect AI solutions against prompt injection, data leakage, and adversarial attacks.</p></li></ul><p>Collaboration</p><ul><li><p>Work with business, engineering, security, and architecture teams to deliver AI solutions.</p></li><li><p>Mentor team members and promote AI engineering standards and best practice</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>AI & Machine Learning</p><ul><li><p>Machine Learning, Deep Learning, NLP, Computer Vision</p></li><li><p>Predictive Analytics, Feature Engineering, Model Optimization</p></li></ul><p>Generative AI</p><ul><li><p>Large Language Models (LLMs)</p></li><li><p>Retrieval-Augmented Generation (RAG)</p></li><li><p>Prompt Engineering</p></li><li><p>Embeddings and Semantic Search</p></li><li><p>Fine-tuning Foundation Models</p></li></ul><p>Agentic AI</p><ul><li><p>Autonomous and Multi-Agent Systems</p></li><li><p>Agent Orchestration</p></li><li><p>Planning and Reasoning</p></li><li><p>Memory Management</p></li><li><p>Tool Calling</p></li><li><p>Human-in-the-Loop (HITL)</p></li><li><p>Model Context Protocol (MCP)</p></li></ul><p>Frameworks & Libraries</p><ul><li><p>PyTorch</p></li><li><p>TensorFlow</p></li><li><p>Scikit-learn</p></li><li><p>Hugging Face</p></li><li><p>LangChain</p></li><li><p>LangGraph</p></li><li><p>LlamaIndex</p></li><li><p>AutoGen</p></li><li><p>CrewAI</p></li><li><p>Semantic Kernel</p></li></ul><p>Cloud & Infrastructure</p><ul><li><p>Microsoft Azure AI Foundry</p></li><li><p>Azure Machine Learning</p></li><li><p>AWS Bedrock</p></li><li><p>Amazon SageMaker</p></li><li><p>Google Vertex AI</p></li><li><p>Docker</p></li><li><p>Kubernetes</p></li><li><p>Terraform</p></li></ul><p>Data & Integration</p><ul><li><p>SQL</p></li><li><p>PostgreSQL</p></li><li><p>MongoDB</p></li><li><p>Apache Spark</p></li><li><p>Vector Databases</p></li><li><p>REST APIs</p></li><li><p>FastAPI</p></li></ul><p>AI Operations</p><ul><li><p>MLflow</p></li><li><p>Kubeflow</p></li><li><p>Azure ML Pipelines</p></li><li><p>GitHub Actions</p></li><li><p>Azure DevOps</p></li></ul><p>AI Monitoring & Observability</p></li></ul>

<p>Position Title: Port Agency Operator (2) Employment Type: Full Time Salary: 10,000 AED inclusive depending on experience and qualifications Job Location: Dubai, UAE About the Client: A Dubai-based international Shipping & Logistics company, connecting continents with world-class maritime solutions Job Description: ? Manage the complete vessel port call process from nomination, pre-arrival documentation, arrival, cargo operations, until vessel departure. ? Coordinate daily with ship owners, charterers, port authorities, terminals, customs, local agents, and internal departments ? Prepare, review, and monitor all shipping documentation including PDA/FDA, SOF, manifests, Bills of Lading, customs and cargo documentation ? Monitor vessel progress, resolve operational issues, arrange husbandry services.</p><p>Qualifications: ? Open to 25-36 yrs old ? Minimum 3 years of experience in Ship Agency, Port Agency, Vessel Operations, or Shipping Operations ? Have Experience coordinating with ship owners, charterers, port authorities, terminals, customs, and vessel masters. ? Strong knowledge of port operations, vessel documentation, PDA/FDA, SOF, customs clearance, Bills of Lading, cargo documentation, and maritime regulations How to Apply: Send your CV in word format to: LOGISTICS1809AT GMAIL DOT COM and use “Port Agency Operator” as email subject</p>

<ul><li><p>The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics.</p><p><br><strong>What You Will Do:</strong></p><ul><li><p>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</p></li><li><p>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</p></li><li><p>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</p></li><li><p>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</p></li><li><p>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</p></li><li><p>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</p></li><li><p>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</p></li><li><p>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Required Skills To Be Successful:</strong></p><ul><li><p>Advanced machine learning model development and optimization skills.</p></li><li><p>Expertise in Generative AI techniques for demand forecasting.</p></li><li><p>Proficiency in MLOps practices and model deployment pipelines.</p></li><li><p>Strong communication and collaboration abilities with cross-functional teams.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong></p><ul><li><p>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</p></li><li><p>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</p></li><li><p>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</p></li></ul><br></li></ul>

<ul><li><p>Configure and support Microsoft Dynamics 365 F&O, MES, CAD/CAM, and warehouse systems to enable seamless end-to-end manufacturing operations.</p></li><li><p>Integrate shopfloor equipment, PLCs, and machine data acquisition to deliver reliable production execution, traceability, and real-time visibility. </p></li><li><p>Manage production processes, WIP tracking, advanced warehouse management, barcode/RF solutions, and outbound logistics to improve operational efficiency. </p></li><li><p>Develop, monitor, and troubleshoot system integrations across ERP, MES, CAD/CAM, machine controllers, and production analytics while ensuring data accuracy and system reliability</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Engineering, Computer Science, IT, or a related field.</p></li><li><p>5+ years of experience in Manufacturing IT/OT, including hands-on expertise in Dynamics 365 F&O, MES, machine integration, and shopfloor digitalization.</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>KEY RESPONSIBILITIES</p><p>Odoo ERP Management</p><ul><li><p>Day-to-day administration and operation of the Odoo ERP system</p></li><li><p>Act as primary liaison between TASA and external implementation partners</p></li><li><p>Ensure all modules are configured, maintained, and operating effectively</p></li><li><p>Monitor system performance and recommend enhancements</p></li><li><p>Troubleshoot operational issues and coordinate corrective actions</p></li></ul><p>Manufacturing Operations (MRP)</p><ul><li><p>Configure and manage Manufacturing (MRP) modules</p></li><li><p>Develop and maintain Bills of Materials (BOMs) and routings</p></li><li><p>Configure work centres, production stages, and manufacturing workflows</p></li><li><p>Monitor production orders, machine utilisation, and performance</p></li><li><p>Establish production planning based on customer demand and capacity</p></li><li><p>Configure manufacturing lead times and scheduling parameters</p></li><li><p>Track and improve Turnaround Time (TAT) across production activities</p></li></ul><p>Machine &amp; Work Centre Management</p><ul><li><p>Create and maintain machine master data, capacities, and cycle times</p></li><li><p>Monitor machine utilisation, production bottlenecks, and efficiency rates</p></li><li><p>Support preventive maintenance scheduling via the Maintenance Module</p></li><li><p>Coordinate with production teams for accurate machine performance recording</p></li></ul><p>Procurement &amp; Inventory Management</p><ul><li><p>Configure and maintain end-to-end procurement workflows</p></li><li><p>Monitor stock levels, reorder rules, safety stock, and valuations</p></li><li><p>Ensure material planning aligns with production requirements</p></li><li><p>Implement stock traceability and movement controls</p></li></ul><p>Quality Management</p><ul><li><p>Implement QC and QA processes within Odoo Quality module</p></li><li><p>Configure inspection points, quality checks, and non-conformance reporting</p></li><li><p>Monitor product quality records and compliance requirements</p></li><li><p>Generate quality performance reports and corrective action tracking</p></li></ul><p>Process Improvement &amp; Automation</p><ul><li><p>Analyse business processes and identify automation opportunities</p></li><li><p>Develop workflows that reduce manual intervention and improve efficiency</p></li><li><p>Align operational requirements with Odoo system capabilities</p></li></ul><p>Data Management &amp; Reporting</p><ul><li><p>Maintain master data integrity across all modules</p></li><li><p>Develop dashboards, KPIs, and management reports covering: Production Performance, Machine Utilisation, OEE, Inventory Accuracy, Procurement Performance, Lead Time, TAT, Production Costs, and Quality Metrics</p></li></ul><p>User Training &amp; Support</p><ul><li><p>Train employees on Odoo best practices and module usage</p></li><li><p>Prepare SOPs, user manuals, process flows, and training materials</p></li><li><p>Provide first-level support and conduct periodic system audits</p></li></ul><p>Project Management</p><ul><li><p>Support current and future Odoo implementation projects</p></li><li><p>Coordinate UAT activities and ensure successful module deployments</p></li><li><p>Track project milestones, risks, and implementation progress<br><br>MODULES TO HANDLE (not limited to) Manufacturing (MRP), Inventory, Purchase, Sales, CRM, Quality, Maintenance, Planning, Project Management, Accounting, HR &amp; Attendance, Documents, Approvals, Helpdesk, Fleet REQUIRED QUALIFICATIONS &amp; SKILLS</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education &amp; Certification</p><ul><li><p>Bachelor's degree in Engineering, Manufacturing, IT, ERP Systems, or related field</p></li><li><p>Odoo Functional Consultant or ERP Certification preferred</p></li><li><p>Minimum 5–8 years of ERP experience</p></li><li><p>Minimum 3–5 years of Odoo Manufacturing implementation experience</p></li><li><p>Proven experience in a manufacturing / industrial environment</p></li></ul><p>Technical Skills</p><ul><li><p>Strong knowledge of Odoo ERP architecture and workflows</p></li><li><p>Expertise in MRP — BOMs, Routings, Work Centres, Production Orders</p></li><li><p>Inventory planning and warehouse operations in Odoo</p></li><li><p>Reporting, dashboard, and KPI development capabilities</p></li><li><p>SQL / PostgreSQL and Odoo customisation is an advantage</p></li><li><p>API integrations and third-party connectivity preferred</p></li></ul><p>Key Competencies</p><ul><li><p>Deep manufacturing process knowledge</p></li><li><p>ERP implementation expertise and problem-solving acumen</p></li><li><p>Strong analytical &amp; stakeholder management skills</p></li><li><p>Project management with milestone &amp; risk tracking</p></li><li><p>Detail-oriented with a process-driven mindset</p></li><li><p>Ability to train and guide cross-functional teams</p></li><li><p>Self-driven; manages multiple priorities independently</p></li><li><p>Resilient and adaptable in manufacturing environments</p></li></ul><p></p></section>

<ul><li>Set up and operate embroidery machines, ensuring they are calibrated for optimal performance and precise stitching.</li><li>Review design specifications and sample fabrics to select appropriate threads, needles, and stabilizers for each project.</li><li>Monitor machine operations during production runs, making real-time adjustments to maintain quality and efficiency.</li><li>Conduct regular maintenance checks on machinery, troubleshooting issues to minimize downtime and maintain productivity.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Must have experience with multi-head embroidery machines (4-head) </p></li><li><p>Strong knowledge of Wilcom (digitizing + editing) </p></li><li><p>Tajima embroidery machine operating knowledge is required</p></li><li><p>Able to handle both machine operation and design work </p></li><li><p>High speed and accuracy </p></li><li><p>Experience in mokhawar stitching is VERY IMPORTANT </p></li><li><p>Experience with Abaya and evening wear embroidery is a plus </p></li><li><p>Candidates must send samples of their work + digitized files </p></li></ul>

Role: AI/ML 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/ML Engineer to work on a contract basis. The role involves developing and deploying machine learning models to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design, develop, and optimize machine learning models using Python and relevant frameworks.• Preprocess, clean, and transform large datasets to prepare them for model training.• Deploy and monitor machine learning models in production environments.• Collaborate with software engineers to integrate AI solutions into existing infrastructure.• Conduct performance benchmarking and model validation to ensure accuracy and efficiency.<br>Required Skills & Qualifications:• Proficiency in Python with experience in machine learning libraries such as Tensor Flow or PyTorch.• Experience with data preprocessing, feature engineering, and model evaluation.• Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.• Familiarity with MLOps practices, including CI/CD pipelines for machine learning.• Strong problem-solving skills with the ability to translate business requirements into technical solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of scalable AI solutions for enterprise applications. The position provides exposure to cutting-edge technologies and the chance to impact high-impact projects.<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!

<ul><li><p>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</p></li><li><p>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</p></li><li><p>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</p></li><li><p>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</p></li><li><p>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</p></li><li><p>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</p></li><li><p>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</p></li><li><p>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Advanced machine learning model development and optimization skills.</p></li><li><p>Expertise in Generative AI techniques for demand forecasting.</p></li><li><p>Proficiency in MLOps practices and model deployment pipelines.</p></li><li><p>Strong communication and collaboration abilities with cross-functional teams.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong></p><ul><li><p>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</p></li><li><p>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</p></li><li><p>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</p></li></ul>

<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>