Machine operator Jobs

<ul><li><p>Senior, hands-on engineer who ships, with recent production AI delivery experience.</p><ul><li><p>Production LLM and agentic AI: RAG, orchestration and multi-step agent workflows.</p></li><li><p>MLOps depth: CI/CD, model registries, monitoring and evaluation pipelines.</p></li><li><p>Strong Python and modern software-engineering practice.</p></li><li><p>Consulting-adjacent skills to work with non-technical operational stakeholders, identify the real problem and manage</p></li></ul><p>delivery end to end.</p><ul><li><p>Self-driven with minimal direction: scope the work, set the plan and drive it to production without waiting for a brief.</p></li><li><p>Technical leadership without formal authority across engineers, analysts and operational staff; ability to set adopted</p></li></ul><p>standards and influence senior stakeholders.</p><ul><li><p>Strong product mindset: user feedback, feature prioritization, technical trade-offs and adoption.</p></li><li><p>Deep AI evaluation expertise: groundedness, hallucination detection, task success, latency, safety, business KPIs, A/B testing and continuous regression testing.</p></li></ul></li><li><p>Production AI cost optimization: model selection/routing, prompt and token optimization, caching and inference-cost management.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's in Computer Science, Machine Learning, or a related quantitative field.</p></li><li><p>5+ years of hands-on experience in deploying and managing AI/ML models in production environments.</p></li><li><p>Domain exposure to container terminals, maritime logistics, free zones or freight operations, including TOS data, gate and yard processes, customs/trade documentation, or warehouse/contract-logistics workflows.</p></li><li><p>GCC or comparable multi-country regional experience; Arabic is a plus.</p></li><li><p>Platform engineering or developer-experience background, including internal tooling adopted by other engineers.</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>· Ability to provide mechanical maintenance and breakdowns troubleshoot for all kinds of machines on beverage lines.</p><p>· Ability to operate and make full overhaul for beverage lines, pneumatic circuits, and mechanical moving parts.</p><p>· Very good knowledge beverage lines machine (Sidel or KHS or Krones lines) and thorough knowledge in Injection machines.</p><p>· Must have basic knowledge of electricity.</p><p>· Plan and estimate mechanical jobs.</p><p>· Responsible for directing preventive/predictive maintenance programs designed to reduce unscheduled downtime (maximize equipment availability) downtime (maximize equipment availability to extend equipment life.</p><p>· Ability to identify mechanical spare parts requirements for all line machines</p><p>· Determine procedures for maintenance, installation, modification, and repair of mechanical assignments.</p><p>Provide basic training for all machines operators.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A diploma in Mechanical Engineering or a related field, demonstrating foundational knowledge of mechanical principles.</li><li>Relevant certifications, such as HVAC or CNC operation, indicating specialized skills and commitment to professional development.</li><li>Experience in manufacturing or automotive sectors preferred, ensuring familiarity with industry-specific machinery.</li><li>Ability to read and interpret technical drawings and schematics, essential for effective troubleshooting and repair.</li><li>Strong mechanical aptitude and proficiency with hand and power tools required for maintenance tasks.</li><li>Detail-oriented mindset with strong analytical skills for diagnosing complex mechanical issues.</li><li>Fluency in English is essential; additional languages are a plus, enhancing collaboration in diverse work environments.</li></ul><br><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Key Responsibilities</p><ul><li>Partner with all departments to identify business processes and operational challenges that can be enhanced through Artificial Intelligence solutions.</li><li>Conduct business requirement gathering, process analysis, and feasibility assessments for AI initiatives.</li><li>Recommend suitable AI technologies, automation solutions, and digital innovations aligned with organizational objectives.</li><li>Lead and coordinate the implementation of AI projects across the organization, ensuring delivery within agreed scope, timelines, and budget.</li><li>Identify opportunities to implement AI tools and intelligent automation to support the planning, coordination, and execution of racing events, improving operational efficiency and service delivery where applicable.</li><li>Work closely with Racing Operations, Hospitality, Security, Finance, HR, Marketing, and other departments to identify event-specific AI use cases and implement practical solutions.</li><li>Coordinate with external vendors, consultants, and technology partners for the design, implementation, and ongoing support of AI solutions.</li><li>Collaborate with the IT team to ensure seamless integration of AI applications with existing enterprise systems.</li><li>Monitor the effectiveness, performance, and user adoption of implemented AI solutions, recommending enhancements where required.</li><li>Ensure all AI implementations comply with organizational IT policies, cybersecurity standards, data privacy requirements, and AI governance principles.</li><li>Identify opportunities to automate repetitive tasks and streamline workflows using AI technologies.</li><li>Develop business cases, project plans, implementation roadmaps, and management reports for AI initiatives.</li><li>Deliver training, awareness sessions, and user support to promote successful adoption of AI technologies across the organization.</li><li>Research emerging AI technologies and industry best practices, recommending innovative solutions to support continuous business improvement and digital transformation.</li><li>Develop AI governance guidelines, standards, and best practices to ensure the responsible, secure, and effective use of Artificial Intelligence.</li><li>Support organizational change management activities to facilitate successful AI adoption.</li><li>Perform any other duties assigned by the IT Manager.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Qualifications</p><ul><li>Bachelor’s degree in computer science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.</li><li>Professional certifications in Artificial Intelligence, Machine Learning, Cloud Technologies, Digital Transformation, or Project Management are desirable.</li></ul><p>Experience</p><ul><li>Minimum 3 years of experience in Information Technology, including experience in AI implementation, digital transformation, business process automation, or related technology initiatives.</li><li>Experience coordinating cross-functional technology projects and engaging with business stakeholders.</li><li>Experience implementing enterprise AI platforms, Generative AI solutions, intelligent automation tools, or analytics platforms is preferred.</li></ul><p>Knowledge &amp; Skills</p><ul><li>Strong understanding of Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), and intelligent automation technologies.</li><li>Knowledge of enterprise AI platforms such as Microsoft Copilot, Azure AI, OpenAI, Google AI, or equivalent technologies.</li><li>Strong business process analysis and requirements gathering skills.</li><li>Excellent project coordination and stakeholder management capabilities.</li><li>Knowledge of AI governance, cybersecurity, and data privacy principles.</li><li>Excellent communication, presentation, analytical, and problem-solving skills.</li><li>Ability to manage multiple projects simultaneously and work collaboratively across business functions.</li></ul><p>Key Competencies</p><ul><li>Business Partnership</li><li>Innovation &amp; Digital Transformation</li><li>AI Solution Delivery</li><li>Project Coordination</li><li>Stakeholder Management</li><li>Analytical Thinking</li><li>Change Management</li><li>Customer Focus</li><li>Planning &amp; Organizing</li><li>Accountability &amp; Results Orientation</li></ul><p><br></p></div>

Job Description<br><br>About Wynn Al Marjan Island:<br><br>Wynn Al Marjan Island will be the first integrated resort in the UAE. Set to open in 2027, the resort will be located 50 miles from Dubai International Airport in the emirate of Ras Al Khaimah. The resort will offer 1,530 rooms and suites, 22 restaurants, lounges, and bars, a theater, and a beach club. It will feature multiple swimming and wading pools, a five-star spa, a salon, a shopping promenade, and a celebrations and events center.<br><br>About The Position<br><br>Wynn Al Marjan Island is currently seeking an Agent to join the resort’s Call Center Operations team.<br><br>Responsibilities<br><br>The primary duties and responsibilities of this role are:<br><br> Answer incoming calls promptly and professionally, following brand standards. Handle guest interactions across multiple communication channels including calls, email, and digital platforms, ensuring consistent service standards. Assist guests with room reservations, service requests, and general inquiries. Manage a variety of reservation and service-related requests, demonstrating flexibility across different guest touchpoints. Maintain a high standard of written and verbal communication, ensuring clarity, professionalism, and brand-aligned tone across all channels Demonstrate adaptability by supporting multiple operational functions within the call center environment as required. Demonstrate ability to multi-task across channels within the same shift and multi-skill across functions (Rooms, Restaurants, Operator, Theatre), maintain certifications and consistent service standards. Coordinate effectively with internal departments to deliver seamless guest experience. Provide accurate information about hotel services, amenities, and local attractions. Handle guest complaints or concerns with professionalism, empathy, solution-oriented thinking and escalate when necessary. Maintain detailed records of calls, requests, and follow-ups. Ensure accurate documentation of guest interactions, requests, and follow-ups across systems. Process wake-up calls, room service orders, and special arrangements. Ensure confidentiality and security of guest information. Ensure qualitative Forbes Five-Star standards are delivered in all guest interactions. Support front desk operations during peak hours or special events. Stay updated on property policies, promotions, and procedures. <br><br>About You<br><br>The ideal candidate for this position will have the following experience and qualifications:<br><br> Previous experience in a call center or customer service role preferred. Strong verbal communication and listening skills. Ability to multitask and work in a fast-paced environment. Proficiency in Microsoft Office and property management systems. Fluency in English; additional languages are a plus. Professional phone etiquette and customer-focused attitude. Shift-based schedule including weekends, holidays, and evenings. Primarily desk-based with extended periods of phone use. <br><br>About Wynn Al Marjan Island’s Benefits<br><br>We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p>Key Responsibilities <br></p><br><ul><li>Foster long-term relationships by engaging with clients in a professional and courteous manner.<br></li><li>Curate and deliver leisure travel experiences tailored to clients’ expectations and budgets.<br></li><li>Support clients throughout their entire booking journey, from inquiry to trip completion.<br></li><li>Handle multiple client inquiries and bookings simultaneously while maintaining accuracy and attention to detail.<br></li><li>Collaborate with colleagues, vendors, and DMCs to ensure seamless service delivery.<br></li><li>Contribute positively to a team-oriented environment by supporting colleagues and working collaboratively to achieve shared goals.<br></li></ul><br><br><span>Requirements</span><p>Skills &amp; Expertise: <br></p><br><ul><li>Bachelor’s degree or higher.<br></li><li>Proficiency in Office 365, at least one GDS system, Hotel BedBanks, and DMC interactions.<br></li><li>Comfort with CRM software, online booking platforms, and virtual client engagement tools.<br></li></ul><p>Traits &amp; Competencies: <br></p><br><ul><li>Strong attention to detail and multitasking ability.<br></li><li>Excellent communication, interpersonal, and listening skills.<br></li><li>Passion for travel and a desire to learn about new destinations and cultures.<br></li><li>Flexibility to accommodate client schedules and time zone differences.<br></li><li>Sales and service orientation with a commitment to learning, innovation, and adapting to new technologies.<br></li><li>Problem-solving skills and resourcefulness in handling unexpected challenges.<br></li><li>Cultural sensitivity and a respect for diverse backgrounds and preferences.<br></li><li>Resilience and professionalism under pressure.<br></li><li>A team player with a collaborative mindset.<br></li></ul><p>Preferred Experience: <br></p><br><ul><li>2-5 years in sales and operations at a travel agency or tour operator, specializing in customized international holidays (with knowledge of air travel and visa facilitation).<br></li><li>Fluency in written and spoken English.<br></li></ul><br><br><span>Benefits</span><p>Learning &amp; Development Opportunities: <br></p><br><ul><li>Benefit from in-house destination and airline product briefings and trainings.<br></li><li>Develop soft skills through on-the-job training and coaching.<br></li><li>Participate in travel industry events and seminars.<br></li></ul><p>Compensation &amp; Benefits: <br></p><br><ul><li>Compensation aligned with experience as an outbound leisure travel consultant.<br></li><li>UAE Residence Visa for applicants who require sponsorship.<br></li></ul><br><br> </div>

Core Responsibilities1. Market Intelligence Parachute into a chosen emerging market (e.g., Bolivia) and, in the shortest time possible, get clear on: who the target users are, how they currently buy and sell stablecoins, where the pain points are, which competitors and local players exist, and the real state of regulation and payment rails. Turn this into first-hand, decision-ready intelligence—not recycled second-hand reports.<br>2. GTM Strategy (co-create) and Execution (own) Build the full market-entry playbook together with the CEO, product, and operations—then own the execution independently: how the first 100 seed users are acquired, how the first 1,000 funded-active users are acquired, and the CAC hypothesis and validation for each channel.<br>3. Growth & Acquisition Design and personally test acquisition channels: diaspora communities, Telegram/Whats App/X communities, local KOLs/micro-influencers, community OTC agents, campus and savings groups (e.g., chama/SACCO-type), referral mechanics, and more. Prove a repeatable acquisition model on a minimal budget, and own retention—not just sign-ups.<br>4. Localized Brand Not a VI kit that looks good at HQ, but HPX's brand delivered in a way local users trust: localized messaging, trust narratives (compliance, reserves, security), and social/content presented in the local language and cultural context.<br>5. Community Penetration Find and enter the genuinely active crypto / remittance / freelancer / importer communities in the market, build HPX's presence and word-of-mouth inside them, and turn communities into a flywheel for acquisition and retention.<br>6. Team Building Start as an individual contributor; once the playbook works, recruit and lead a lean 2–3 person team (which may include local growth, community, and content roles).<br>Who We're Looking For (must-haves)- Proven hands-on "market entry / 0-to-1 growth" experience—ideally launching a to-C fintech, crypto, payments, remittance, or e-commerce business in an emerging market (Africa, Lat Am, South Asia, Southeast Asia, Central Asia). Having actually taken a product into a new country and generated real, retained users is the single most important bar for this role.- An operator, not a pure strategist / pure brand / pure media buyer. Can shape the playbook and roll up their sleeves to work communities, close KOL deals, test channels, and read the data.- Owner mindset on growth metrics: accountable for CAC, retention, and unit economics—not for "impressions" or "follower counts."- Moves fast under ambiguity: the markets we enter are often data-poor with immature infrastructure. You can make calls on incomplete information, experiment quickly, and course-correct.- Cultural sensitivity and on-the-ground ability: willing to travel frequently, and even embed short-term in the target market, and to build real relationships with locals.- Language: fluent English required;- Works side-by-side: this role is based in Dubai, working closely with the CEO, at a pace where "when we have an idea, the whole team executes fast."

Job Summary The Testing & Commissioning Supervisor is responsible for planning, supervising, and executing the testing, programming, commissioning, troubleshooting, and handover of ABB KNX Lighting Control Systems. The role requires strong expertise in ETS6 software, ABB KNX products, system integration, field device commissioning, and coordination with project teams, consultants, and clients to ensure successful project delivery.<br>Key Responsibilities Testing & Commissioning Supervise and execute testing and commissioning activities for ABB KNX Lighting Control Systems. Configure, program, and commission KNX devices using ETS6 software. Verify system functionality against approved drawings, specifications, and sequence of operations. Conduct factory acceptance tests (FAT), site acceptance tests (SAT), and final commissioning activities. Perform point-to-point testing of sensors, switches, actuators, dimmers, gateways, and interfaces. Ensure all KNX devices are correctly addressed, programmed, and integrated within the network. Troubleshoot and resolve hardware, software, communication, and networking issues during commissioning. Verify lighting scenes, schedules, occupancy controls, daylight harvesting, and energy management functions. Fine-tune system performance based on client and consultant requirements. ABB KNX System Programming Develop, modify, and maintain ETS6 project databases. Configure ABB KNX products including: ABB KNX Actuators ABB KNX Sensors ABB DALI Gateways ABB Room Controllers ABB Touch Panels ABB Power Supplies ABB IP Routers and Interfaces Backup, document, and maintain all ETS6 project files. Coordinate software revisions and change management during project execution. Site Coordination Coordinate with project managers, engineers, subcontractors, and electrical contractors. Verify site readiness before commissioning activities. Ensure installation complies with ABB and KNX standards. Monitor commissioning schedules and report progress to project management. Attend site coordination meetings and technical discussions with clients and consultants. Documentation & Handover Prepare commissioning reports, test sheets, snag lists, and handover documentation. Update as-built drawings and commissioning records. Conduct client demonstrations and operator training. Support preparation of O&M manuals and project closeout documentation. Ensure all commissioning records are properly maintained and archived. Quality, Safety & Compliance Ensure compliance with project specifications, KNX standards, ABB guidelines, and company procedures. Maintain adherence to HSE requirements during commissioning activities. Identify risks and implement corrective actions to achieve smooth project delivery. Support quality inspections and consultant approvals. Technical Skills & Competencies Expert knowledge of ETS6 Programming Software. Strong understanding of KNX Protocol and Topology. Hands-on experience with ABB KNX Lighting Control Products. Ability to troubleshoot KNX communication and integration issues. Understanding of DALI, BACnet, Modbus, and IP-based integrations. Knowledge of lighting control sequences, occupancy control, dimming control, and energy-saving strategies. Ability to read electrical drawings, schematics, and network diagrams. Familiarity with BMS integration and third-party interfaces. Education & Experience Bachelor's Degree / Diploma in Electrical Engineering, Electronics Engineering, Automation, or related field. Minimum 5-8 years experience in Lighting Control System commissioning. Minimum 3 years hands-on experience with ABB KNX Systems and ETS6 Programming. KNX Partner Certification preferred. ABB Certified Training on KNX products preferred. UAE/GCC project experience is an advantage.

Position: Group Accountant Compensation: AED 20,000 - 25,000 plus statutory benefits Location: Dubai, UAE<br>Overview Gateworth are currently supporting a single-family office in the recruitment, of a Group Accountant, within their newly established and centralised operation based in Dubai. The Group Accountant plays a key role within the finance function, responsible for the accurate and timely consolidation of financial results across the group's subsidiaries and business units. Reporting to a CFO operator, this role ensures the integrity of group-wide financial reporting, drives consistency in accounting policies across entities, and supports statutory and external audit requirements. The successful candidate will act as a technical accounting resource for the wider finance team, bridging entity-level reporting with group consolidation, while also contributing to process improvements, internal controls and strategic financial insight for senior management.<br>Main Responsibilities Preparing consolidated group financial statements across multiple entities/subsidiaries and ensuring compliance with IFRS (or relevant local GAAP) at a group level. Managing the group close process and ensuring deadlines are met across subsidiaries and reviewing journal entries, accruals and balance sheet reconciliations from entity-level teams. Overseeing intercompany recharges, loans, and balances whilst ensuring intercompany transactions are properly matched and eliminated and managing transfer pricing documentation where applicable. Liaising with external auditors and managing the year-end audit process along with the preparation of audit files, schedules and supporting documentation whilst also ensuring statutory accounts are filed on time for each group entity. Preparing and reviewing VAT returns across group entities, ensuring accurate and timely submission in line with local regulations whilst ensuring compliance with VAT regulations across jurisdictions the group operates aligning also with any regulatory changes. Assisting with group budgets, forecasts, and variance analysis and providing financial insight to senior management/CFO coupled with driving process efficiencies and automation in group reporting.<br>Qualifications & Prerequisites The client will look to recruit a professionally qualified Chartered Accountant (ACCA, ACA, CIMA or CPA) with experience from within a Big Four audit-type background. Prior experience in a group/consolidation accounting role within a multi-entity or multinational organization along with a strong working knowledge of IFRS and any local GAAP technicalities along with managing statutory audits and liaising with external auditors. Candidates shall be required to demonstrate strong Excel-based skills along with a strong background within analytical reporting skills including an ability to explain technical accounting matters to non-finance stakeholders. Ability to work to tight deadlines across multiple entities whilst demonstrating a high level of integrity and professionalism along with a high level of proactiveness, self-motivation and a capability to work independently. This is a highly visible role suited to a detail-oriented, technically strong accountant who thrives in a multi-entity, fast-paced environment and is comfortable liaising with stakeholders across different jurisdictions and business functions.<br>Apply Applicants meeting this criterion and looking for a progressive and challenging opportunity should submit an application via the apply link. If you have any further questions, you can reach out to apply@gateworth.com quoting the GWG reference: 7185

About HODLife HODLife is a next-generation insurer integrating digital assets with trusted life and savings solutions. Our platform enables individuals and families to safeguard and grow wealth across both traditional and digital assets. By combining advanced infrastructure with established insurance risk-management practices within a regulated framework, we offer a modern and prudent approach to wealth protection.<br>About the Role Reporting directly to the CEO, the Chief Distribution Officer will lead the development of HODLife’s regional and Middle East intermediary distribution strategy. The role is responsible for building a high-quality network of brokers, wealth intermediaries and strategic partners capable of distributing offshore insurance solutions to international clients.<br>The CDO will establish the firm’s broker partnerships, design scalable commercial frameworks, and build the infrastructure required to support long-term distribution growth. With significant executive visibility and autonomy, the role offers the opportunity to shape market positioning, build strategic partnerships and develop a sustainable revenue engine for the company.<br>Key Responsibilities Distribution Strategy & Broker Network Expansion Develop and execute the company’s global broker and intermediary distribution strategy. Identify, onboard and activate third-party brokers, wealth advisors, family-office intermediaries and referral partners. Expand HODLife’s presence across both traditional financial intermediaries and emerging digital-asset wealth channels. Build a scalable broker ecosystem with clear onboarding, activation and performance frameworks. Commercial Partnerships Structure commercial arrangements with distribution partners, including referral agreements, commission frameworks and revenue-sharing models. Develop long-term strategic partnerships with broker networks, wealth platforms and offshore advisory firms. Establish performance metrics and incentive structures to drive partner productivity and growth. Licensing & Regulatory Coordination Oversee broker onboarding processes in alignment with applicable regulatory and licensing requirements. Work closely with legal and compliance teams to ensure distribution frameworks meet jurisdictional regulatory standards. Maintain appropriate oversight of intermediary conduct and compliance obligations. Product Positioning & Market Development Work with product and executive leadership to position HODLife’s insurance solutions effectively within the global wealth market. Build market credibility for the company’s insurance platform among brokers, wealth advisors and institutional intermediaries. Support the development of additional revenue channels linked to offshore wealth planning and digital-asset protection.<br>Experience & Expertise10+ years of experience in financial services, insurance, private wealth, or securities distribution platforms. Proven track record of building and scaling partner-driven or intermediary distribution businesses. Strong familiarity with broker compensation structures, referral arrangements and commercial partnership models. Working knowledge of regulatory considerations relevant to insurance distribution or offshore financial products. Experience working with wealth intermediaries, broker networks, or international advisory platforms. Entrepreneurial mindset with the ability to build new initiatives from the ground up.<br>Leadership Traits Strategic thinker with strong commercial instincts. Strong relationship builder with credibility across broker and wealth advisory networks. Hands-on operator capable of building distribution infrastructure in a growing company. Clear communicator who can align partners, executives and internal teams. High ownership mindset with the ability to navigate ambiguity in a startup environment.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Production Planning &amp; Control Manager Production Planning &amp; Control (PPC) Manager <p><strong>Department:</strong> Production<br><strong>Reports To:</strong> Finance Director<br><strong>Industry:</strong> Perfume Manufacturing</p><br> Job Summary <p>We are seeking an experienced <strong>Production Planning &amp; Control (PPC) Manager</strong> to oversee production planning, scheduling, inventory control and manufacturing coordination within a perfume manufacturing environment.</p><br> <p>The role will be responsible for ensuring efficient utilisation of production resources, timely manufacturing and order fulfilment, optimal inventory levels and effective coordination across Production, Procurement, Warehouse, Quality, Sales and other relevant functions.</p><br> <p>The successful candidate will bring strong production planning, MRP, inventory management and ERP expertise, with the ability to optimise capacity, improve manufacturing efficiency and support continuous cost and process improvements.</p><br> Key Responsibilities 1. Production Planning &amp; Scheduling <ul><li>Develop daily, weekly and monthly production plans based on sales forecasts, customer demand and inventory requirements.</li><li>Translate demand forecasts into practical production schedules and manufacturing priorities.</li><li>Monitor production schedules to ensure timely order fulfilment.</li><li>Balance production capacity, material availability, manpower and machine utilisation.</li><li>Identify potential production constraints and implement corrective actions.</li></ul> 2. Cross-Functional Coordination <ul><li>Coordinate closely with Sales, Procurement, Warehouse, Quality Assurance and Production teams.</li><li>Align production plans with customer requirements, sales priorities and inventory targets.</li><li>Work with Procurement to ensure timely availability of raw materials and packaging materials.</li><li>Coordinate with Warehouse teams to maintain smooth material flow into and out of production.</li><li>Support coordination of new product launches with R&amp;D, Marketing and other relevant teams.</li></ul> 3. Material Requirements Planning &amp; Inventory Control <ul><li>Manage Material Requirements Planning (MRP) to ensure availability of materials required for production.</li><li>Monitor raw materials, packaging materials, semi-finished goods and finished-product inventories.</li><li>Prevent production disruptions caused by material shortages.</li><li>Work with Procurement to minimise excess inventory and optimise stock levels.</li><li>Establish appropriate inventory planning parameters based on demand, lead times and production requirements.</li><li>Identify slow-moving, excess and potentially obsolete inventory.</li></ul> 4. Capacity &amp; Resource Planning <ul><li>Optimise machine utilisation and production capacity.</li><li>Plan manpower allocation according to production requirements.</li><li>Identify bottlenecks and capacity constraints across manufacturing operations.</li><li>Develop capacity plans to support current and future production requirements.</li><li>Recommend resource or process changes required to improve manufacturing throughput.</li></ul> 5. Production Performance &amp; KPI Management <ul><li>Monitor key manufacturing KPIs including production output, downtime, waste, efficiency and schedule adherence.</li><li>Analyse production performance and identify root causes of inefficiencies.</li><li>Prepare regular production performance reports for management.</li><li>Track production plan versus actual output and implement corrective actions where required.</li><li>Develop actionable insights to improve productivity, efficiency and resource utilisation.</li></ul> 6. Manufacturing Efficiency &amp; Continuous Improvement <ul><li>Identify and implement initiatives to improve production efficiency and reduce manufacturing costs.</li><li>Drive reduction of production waste, downtime and avoidable resource consumption.</li><li>Support Lean Manufacturing and continuous improvement initiatives.</li><li>Review production processes and recommend improvements in workflow, capacity utilisation and resource allocation.</li><li>Work with relevant teams to improve overall manufacturing productivity.</li></ul> 7. Quality, Safety &amp; Compliance <ul><li>Ensure production planning and execution are aligned with applicable quality and safety standards.</li><li>Coordinate with Quality Assurance to address production-related quality issues.</li><li>Ensure production processes and schedules support consistent product quality.</li><li>Escalate operational risks that may affect quality, safety, delivery or customer commitments.</li></ul> 8. ERP &amp; Production Systems <ul><li>Manage production planning activities through ERP systems.</li><li>Ensure accurate production data, material requirements, inventory information and production schedules within the ERP.</li><li>Use ERP data to support production planning, capacity management and inventory decisions.</li><li>Contribute to improvements in ERP-based planning and reporting processes.</li></ul> 9. Reporting &amp; Management Information <ul><li>Prepare production plans and schedules for relevant stakeholders.</li><li>Develop production and inventory planning reports.</li><li>Provide management with visibility into production capacity, material availability, inventory levels and potential delivery risks.</li><li>Maintain accurate planning data and ensure timely escalation of production constraints.</li></ul> Qualifications &amp; Experience <ul><li>Bachelor's degree in <strong>Industrial Engineering, Production Engineering, Supply Chain Management</strong> or a related discipline.</li><li><strong>5–8 years of experience</strong> in production planning and control.</li><li>Experience within <strong>perfume, cosmetics, FMCG, pharmaceutical or manufacturing</strong> environments is strongly preferred.</li><li>UAE experience is preferred.</li><li>Proven experience managing production schedules, MRP, inventory and manufacturing coordination.</li><li>Experience working with cross-functional teams across Production, Procurement, Warehouse, Sales and Quality.</li></ul> Required Skills &amp; Competencies <ul><li>Production Planning &amp; Scheduling</li><li>Production Planning &amp; Control (PPC)</li><li>Material Requirements Planning (MRP)</li><li>Inventory Management</li><li>Demand Forecasting</li><li>Capacity Planning</li><li>Manufacturing Operations</li><li>ERP Systems — Odoo, SAP, Oracle or similar</li><li>Lean Manufacturing</li><li>Production KPI Analysis</li><li>Process Improvement</li><li>Manufacturing Cost Awareness</li><li>Cross-Functional Coordination</li><li>Team Leadership</li><li>Advanced Microsoft Excel</li></ul> <p>Apply now!</p><br> <br> <br> </div>

Senior Data Engineer12 month extendable contract Abu Dhabi | Office Based I am seeking an experienced Senior Data Engineer to join a growing data and analytics team responsible for building scalable, secure, and high-performance data platforms. The successful candidate will design, develop, and optimize modern data solutions that support advanced analytics, business intelligence, and machine learning initiatives. This role requires expertise in large-scale data engineering, cloud technologies, and modern data architectures, with a strong focus on reliability, performance, security, and data governance.<br>Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and process large-scale datasets. Build and optimize data processing frameworks using technologies such as Spark, Delta Lake, Kafka, and other modern big data platforms. Develop and maintain data models, schemas, data lakes, lakehouses, and data warehouses that support analytics and reporting requirements. Implement data quality, validation, monitoring, and observability frameworks to ensure data accuracy and reliability. Design and support real-time and batch data processing solutions using streaming technologies and distributed systems. Ensure compliance with security, privacy, access control, and regulatory requirements for sensitive data. Collaborate closely with data scientists, analysts, architects, and business stakeholders to deliver high-value data products and services. Manage and enhance distributed data platforms to ensure scalability, availability, and performance. Contribute to data governance, master data management, metadata management, and data catalog initiatives. Stay current with emerging technologies, industry best practices, and innovations in cloud and data engineering.<br>Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Minimum 5 years of experience designing, building, and operating enterprise-scale data platforms and pipelines. Strong proficiency in SQL and Python. Hands-on experience with Apache Spark, distributed data processing frameworks, workflow orchestration tools, and messaging platforms such as Kafka. Experience with cloud-based data solutions on Azure, AWS, or Google Cloud Platform. Strong knowledge of data warehousing, data lakes, lakehouse architectures, and data modeling methodologies. Experience working with containerization and orchestration technologies such as Docker and Kubernetes. Understanding of data governance, data quality, security, and privacy best practices. Strong analytical, problem-solving, and communication skills. Senior Data Engineer in Abu Dhabi, United Arab Emirates

Company Description Al Nasiya General Contracting LLC Co., established in 2004, is recognized as a leading contracting firm specializing in complex structural construction, alterations, and refurbishment projects. The company serves a wide range of government entities and sectors, including healthcare, education, residential, mosques, and government offices. Al Nasiya is distinguished by a skilled workforce and a strong commitment to delivering successful, high-quality projects. The company consistently aligns its technical expertise with client objectives to ensure durable, impactful results and long-term partnerships. Role Description This is a full-time, on-site Mid-Mechanical Engineer role based in Abu Dhabi. The Mid-Mechanical Engineer will support the design, review, and implementation of mechanical systems for structural construction and refurbishment projects, ensuring compliance with project specifications, codes, and safety standards. Responsibilities include preparing and reviewing mechanical drawings and models, coordinating with multidisciplinary project teams, and providing technical input during planning, procurement, installation, testing, and commissioning. The role involves conducting site inspections, identifying and resolving mechanical issues, assisting with project scheduling and progress reporting, and supporting value engineering and continuous improvement initiatives. The engineer will also collaborate with suppliers and subcontractors, contribute to documentation and as-built records, and support research and development of improved mechanical solutions and methods. Qualifications Strong foundation in Mechanical Engineering with proven experience in building, infrastructure, or industrial projects.with 7-10 yrs relevant experience in the field Proficiency in Machine Design and related mechanical component and system design principles. Hands-on experience with Computer-Aided Design (CAD) tools for mechanical drawings, layouts, and 3D modeling. Practical Project Management skills, including planning, coordination, and monitoring of mechanical work packages. Ability to support Research and Development (R&D) activities, including evaluating new materials, methods, and technologies. Bachelor’s degree in Mechanical Engineering or a closely related discipline. Familiarity with relevant international and local mechanical codes, standards, and safety regulations. Effective communication and teamwork skills, with the ability to collaborate with multidisciplinary and multicultural teams. Strong problem-solving abilities and attention to detail in both design and site execution. Previous experience in UAE construction projects or GCC region is an advantage.currently based in UAEwith valid driving licenseable to attend personal interview in abu dhabi<br>kindly send your cv: business@alnasiya.com

Key responsibilities<br><br> Model & Solution Engineering  Translate business problems into ML formulations; select suitable architectures (e.g., gradient boosting, transformers) with clear success metrics.  Build end-to-end pipelines: feature extraction, training, hyperparameter tuning, and packaging models as reproducible artifacts.  Optimize inference (quantization, distillation, mixed precision) for latency and throughput on CPU/GPU.  Conduct evaluation beyond accuracy (calibration, fairness, cost-sensitive metrics, PR/ROC under imbalance). MLOps, Deployment & Observability  Implement model versioning, lineage, and experiment tracking; manage rollbacks and canary releases.  Build real-time and batch inference services; integrate with message buses and vector databases.  Monitor for schema checks, data drift, performance regression, and cost observability.  Create alerting and autoscaling policies tied to SLAs, maintain incident runbooks for model services Data Engineering, Quality & Governance  Design data contracts; implement ETL/ELT pipelines (e.g., Spark/Databricks) with testing and backfills.  Enforce data quality gates and schema evolution strategies to prevent mismatches.  Apply privacy-by-design: PII handling, tokenization, and secure secrets management.  Collaborate on cost-efficient data architectures (tiering, caching, Parquet/Delta formats) Experimentation, Product Integration & Stakeholder Enablement  Design experiments (A/B, counterfactual evaluation); define guardrails and success criteria with product teams.  Integrate models via APIs/SDKs with business rules and fallbacks for graceful degradation.  Produce clear documentation (model cards, decision logs) and present trade-offs to stakeholders.<br><br>Qualifications & Skills<br><br> Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.<br><br> Proven experience in designing, training, and deploying machine learning models and AI solutions.<br><br> Strong programming skills in Python and familiarity with ML frameworks (Tensor Flow, PyTorch, Scikit-learn).<br><br> Hands-on experience with MLOps tools and practices (Docker, Kubernetes, MLflow, CI/CD pipelines).<br><br> Proficiency in data processing and ETL tools (Spark, Databricks) and working with large datasets.<br><br> Knowledge of model optimization techniques (quantization, distillation) and performance tuning for production environments.<br><br> Familiarity with cloud platforms (Azure, AWS, or GCP) and scalable architecture design.<br><br> Understanding of data governance, privacy standards, and compliance requirements.<br><br> Strong analytical and problem-solving skills with attention to detail.<br><br> Excellent communication skills to collaborate with cross-functional teams and present technical concepts clearly.

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.<br>About The Role:This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.<br>Perform statistical analysis and data exploration to extract meaningful insights from complex datasets Support the development and validation of predictive models to identify trends and patterns Contribute to the development of AI/ML models and data-driven solutions Conduct exploratory data analysis to support decision-making and operational planning Assist in building and maintaining data pipelines for data collection, processing, and integration Collaborate with data scientists, engineers, and cross-functional teams to improve data workflows Develop scripts and tools to automate repetitive tasks and improve efficiency Support initiatives to enhance data quality, structure, and accessibility Apply basic experimental and analytical approaches to test ideas and evaluate outcomes Contribute to improving data systems, workflows, and analytical capabilities Assist in identifying data gaps, inconsistencies, and opportunities for optimization Participate in team meetings, project discussions, and knowledge-sharing sessions<br>Education Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.<br>Required Skills Proficiency in Python, R, SQL, or similar programming languages. Experience with data visualization platforms such as Power BI or Tableau. Strong understanding of statistical techniques and modeling approaches. Foundational knowledge of AI/ML concepts and applications. Experience working with relational and/or NoSQL databases. Familiarity with cloud-based big data technologies. Ability to explain complex technical findings to non-technical audiences. Understanding of intelligence analysis processes and mission requirements. Experience working with structured and unstructured datasets in complex environments.<br>Experience Minimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.<br>Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Role: Enterprise AI Solutions Architect (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an Enterprise Client Partner (Enterprise AI) to work on a contractual basis. This role focuses on driving client engagement and revenue growth in the AI enterprise space by managing high-value customer relationships. The position requires deep technical understanding of AI solutions combined with client-facing experience to articulate value propositions and close strategic deals. This work directly impacts enterprise adoption of AI technologies, supporting digital transformation initiatives across industries.<br>Key Responsibilities:• Identify and qualify enterprise clients with AI transformation needs through targeted outreach and strategic account planning.• Develop and present tailored AI solution proposals that align with enterprise client requirements and business outcomes.• Negotiate complex enterprise deals with multi-year contracts, ensuring mutually beneficial terms and pricing structures.• Collaborate with internal teams including product, engineering, and legal to customize solutions and streamline contract execution.• Maintain ongoing client relationships to ensure satisfaction, identify upsell opportunities, and facilitate renewal processes.<br>Required Skills & Qualifications:• Minimum 5 years of experience in enterprise software sales or client partnership roles with a proven track record in quota attainment.• Strong technical acumen in artificial intelligence, machine learning, or related enterprise technologies with ability to discuss solutions at both business and technical levels.• Experience negotiating and closing multi-year enterprise contracts in B2B technology environments.• Excellent communication and presentation skills with ability to articulate complex AI concepts to non-technical stakeholders.• Bachelor’s degree in computer science, business, or related field; advanced degree preferred.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI technology industry, contributing to the acceleration of enterprise AI adoption through strategic partnerships. The position involves significant interaction with C-level executives and technical decision-makers across diverse industries, providing exposure to high-impact projects and revenue growth initiatives.<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: Enterprise AI Solutions Architect (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an Enterprise Client Partner (Enterprise AI) to work on a contractual basis. This role focuses on driving client engagement and revenue growth in the AI enterprise space by managing high-value customer relationships. The position requires deep technical understanding of AI solutions combined with client-facing experience to articulate value propositions and close strategic deals. This work directly impacts enterprise adoption of AI technologies, supporting digital transformation initiatives across industries.<br>Key Responsibilities:• Identify and qualify enterprise clients with AI transformation needs through targeted outreach and strategic account planning.• Develop and present tailored AI solution proposals that align with enterprise client requirements and business outcomes.• Negotiate complex enterprise deals with multi-year contracts, ensuring mutually beneficial terms and pricing structures.• Collaborate with internal teams including product, engineering, and legal to customize solutions and streamline contract execution.• Maintain ongoing client relationships to ensure satisfaction, identify upsell opportunities, and facilitate renewal processes.<br>Required Skills & Qualifications:• Minimum 5 years of experience in enterprise software sales or client partnership roles with a proven track record in quota attainment.• Strong technical acumen in artificial intelligence, machine learning, or related enterprise technologies with ability to discuss solutions at both business and technical levels.• Experience negotiating and closing multi-year enterprise contracts in B2B technology environments.• Excellent communication and presentation skills with ability to articulate complex AI concepts to non-technical stakeholders.• Bachelor’s degree in computer science, business, or related field; advanced degree preferred.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI technology industry, contributing to the acceleration of enterprise AI adoption through strategic partnerships. The position involves significant interaction with C-level executives and technical decision-makers across diverse industries, providing exposure to high-impact projects and revenue growth initiatives.<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>Design, build, and maintain scalable and robust data pipelines, ensuring seamless data flow from source systems to analytical platforms.</li><li>Develop and optimize complex ETL/ELT processes, transforming raw data into structured, analysis-ready datasets for business intelligence and machine learning initiatives.</li><li>Architect and implement data warehousing solutions, employing best practices for data modeling, schema design, and performance tuning.</li><li>Integrate diverse data sources, including relational databases, NoSQL stores, APIs, and streaming platforms, ensuring data quality and consistency.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Experience level: 10+ years hands-on data engineering with production pipeline ownership; at least one platform or system owned end to end.</p><p>MUST-HAVE SKILLS (screen for all of these)</p><p>Data transformation and modeling</p><p>Orchestration</p><p>Data ingestion and loading</p><p>Query engine, storage, and table formats</p><p>Programming and databases</p><p>Non-relational / NoSQL databases (must-have, not just exposure)</p><p>Data formats and semi-structured data</p><p>Distributed processing</p><p>Scripting, Linux, and connectivity</p><p>Reliability patterns</p><p>Security, governance, and secrets</p><p>API and integration basics</p><p>Platform, deployment, and DevOps</p><p>Operations and troubleshooting</p><p>NICE-TO-HAVE SKILLS (differentiators, not filters)</p><ul><li><p>Nessie or other data catalog versioning; Iceberg / Delta internals</p></li><li><p>Apache Kafka or equivalent event streaming; streaming ingestion patterns</p></li><li><p>Metadata management, data lineage, audit framework design</p></li><li><p>API integration platforms (iPaaS); OAuth2, API-key authentication models</p></li><li><p>Data governance, data classification, regulated or government data experience • Experience taking over or stabilizing a vendor-built / handed-over platform</p></li><li><p>Arabic working proficiency</p></li></ul><p>Skills</p><p>Data transformation and modeling</p><p>Orchestration</p><p>Non-relational/NoSQL databases</p></li></ul>

<ul><li><p>Solid experience in developing and implementing AI models and algorithms using frameworks such as TensorFlow, PyTorch, or Keras.</p></li><li><p>Strong programming skills in languages such as Python, Java, or C++, with the ability to write clean, efficient, and maintainable code.</p></li><li><p>Deep understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep neural networks, and reinforcement learning.</p></li><li><p>Proficiency in data manipulation, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib</p></li><li><p>Knowledge of cloud platforms and services, such as AWS, Azure, or Google Cloud, for building and deploying AI solutions.</p></li><li><p>Experience with Azure AI cloud platforms and services, such as AI Foundry, Citadel, Azure ML, and other AI apps for building and deploying AI solutions.</p></li><li><p>Familiarity with big data technologies, such as Hadoop and Spark, for processing and analyzing large-scale datasets.</p></li><li><p>Knowledge of software engineering best practices, including version control, unit testing, and agile methodologies.</p></li><li><p>Excellent problem-solving and analytical skills, with the ability to break down complex problems and propose innovative solutions.</p></li><li><p>Strong communication skills to effectively collaborate with cross-functional teams and present complex AI concepts to</p><p>non-technical stakeholders.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><br></p><ul><li><p>Responsible for designing, developing, and implementing cutting-edge AI solutions to solve complex business problems. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to drive innovation and deliver AI-driven products and services.<br><br>If Interseted apply via this link<br><u>https://alphacv.alphadatarecruitment.ae/careers/jobs/B26lGDqHRkK0nxmx_4xPJl_0xVzLsykKvHBHNBWS4Gw<br></u></p></li></ul>

<p>Site Management & Technical Execution</p><p>-Oversee full-scale civil and structural works including heavy equipment</p><p>foundations, pre-engineered steel structures (PEB), piling, and industrial flooring.</p><p>To ensure and monitor day to day work to be carried out as per drawing issued at</p><p>site meeting all quality, safety parameters. To measure the volume of work executed</p><p>at site for quantity certification etc.</p><p>-Resolve complex technical bottlenecks and structural clashes on-site, serving as</p><p>the primary technical advisor.</p><ul><li><p>Coordinate the installation of industrial utilities and machine to be erected on</p></li></ul><p>foundations with other vendors ( Mechanical / Electrical Installation Contractors)</p><ul><li><p>Generate precise progress trackers, daily/weekly construction logs, and quantity</p></li></ul><p>take-offs for contractors billing.</p><p><strong>Desired Candidate Profile</strong></p><p>Required Qualifications & Skills</p><p>-Education: Bachelor’s Degree in Civil / Structural.</p><p>-Experience: Minimum 10 years of total experience, with at least 5+ years directly</p><p>within the UAE managing industrial projects.</p><p>-Technical Software: High proficiency in AutoCAD, Primavera P6 / MS Project, and</p><p>MS Office.</p><p>-Soft Skills: Exceptionally strong leadership, English communication</p><p>Employment Details</p><p>-Employment Type: Full-Time</p><p>-Location: Abu Dhabi, UAE (On-site)</p><br><p>Job Summary We are seeking a highly experienced Site Engineer (Industrial Construction) with 10+ years of proven expertise to lead day-to-day execution on high-value industrial projects in Abu Dhabi preferably in KEZAD.The ideal candidate will supervise sub- contractors, manage heavy structural RCC as Well PEB including amenities building like offices etc , internal road and drainage, ETP, Power House etc. and ensure strict adherence to Abu Dhabi Municipality (ADM) and EHS standards.</p>

<p>This role sits at the forefront of AI innovation, focusing on the development, training and optimisation of large language models and AI systems. You will work with state-of-the-art open-source frameworks and contribute to high-impact AI initiatives. Client Details A highly innovative financial services organisation investing in advanced technology and AI-driven solutions to solve complex real-world challenges. Description * Train, fine-tune and optimise AI models to improve performance, efficiency and scalability. * Build high-quality datasets from user interactions, business use cases and real-world applications. * Design and enhance model training and inference frameworks using leading open-source technologies. * Adapt and improve existing training pipelines to support evolving AI products and platforms. * Research emerging AI techniques and contribute to the advancement of next-generation LLM solutions. Job Offer * Opportunity to work on leading-edge AI research and development initiatives. * Collaborative environment with access to advanced technologies and highly skilled teams. * Competitive compensation package, comprehensive benefits and excellent long-term career growth opportunities.</p><p>* Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning or a related discipline. * Strong understanding of model architectures, training methodologies and inference frameworks. * Hands-on experience with large language models and open-source ecosystems, including DeepSeek, Gemma or similar technologies. * Knowledge of training frameworks such as LLaMA Factory, VERL, PyTorch, TensorFlow or Hugging Face. * Proven ability to modify, optimise and deploy AI training pipelines in production environments.</p>