Machine operator Jobs

Company Description This opportunity is advertised on behalf of a partner company. All applications, interviews, and subsequent hiring steps will be managed directly by the partner organization. Our partner is seeking a Junior Data Analyst / Data Scientist to join their remote team and contribute to data-driven projects across Financial Services, Retail, E-commerce, Logistics, Business Intelligence, Artificial Intelligence (AI), and Machine Learning (ML). This role is well suited to an early-career data professional who is curious about how data can be used to solve business problems, uncover trends, and support better decision-making. The successful candidate will have the opportunity to work on a variety of analytics and data science projects, ranging from business reporting and data visualization to predictive modeling and machine learning.<br>Key Responsibilities Collect, clean, transform, and analyze data from different internal and external sources Use Python, SQL, and statistical techniques to investigate business and operational questions Conduct Exploratory Data Analysis (EDA) to uncover trends, relationships, anomalies, and opportunities Build and maintain reports, dashboards, KPIs, and Business Intelligence (BI) solutions Perform descriptive and statistical analyses to support business and strategic decisions Assist in developing and evaluating Machine Learning (ML) and predictive models Contribute to customer, product, commercial, marketing, and operational analytics projects Analyze areas such as customer behavior, transactions, sales performance, product usage, and operational efficiency Support forecasting, customer segmentation, classification, and other predictive analytics initiatives Assist with A/B testing, experimentation, and hypothesis-driven analysis Develop clear and meaningful data visualizations to communicate analytical findings Present insights and recommendations to both technical and non-technical stakeholders Contribute to AI, automation, and other data-driven initiatives Help identify opportunities to improve data quality, reporting processes, and analytical workflows Work collaboratively with teams across Product, Engineering, Finance, Marketing, Operations, and Business Translate business requirements and questions into structured analytical approaches<br>Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or another quantitative discipline Solid foundational knowledge of Python and SQLGood understanding of statistics, probability, and fundamental data analysis concepts Hands-on experience working with datasets and conducting Exploratory Data Analysis (EDA) Familiarity with Python data and Machine Learning libraries such as pandas, Num Py, and scikit-learn Experience with or understanding of dashboarding and reporting tools such as Power BI, Tableau, Looker, or similar platforms Strong analytical thinking and problem-solving abilities Ability to interpret data and communicate insights in a clear and structured manner Strong written and spoken English Comfortable working both independently and as part of a distributed, remote team<br>Preferred Qualifications Internship, academic, bootcamp, freelance, or personal project experience in Data Analytics, Data Science, Business Intelligence, or Machine Learning Exposure to data-driven industries such as Financial Services, Fin Tech, Retail, E-commerce, Logistics, or Technology Familiarity with Git and Git Hub Experience working with Jupyter Notebook Basic exposure to cloud environments such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Familiarity with modern data warehouses and platforms including Big Query, Snowflake, Redshift, or Databricks Experience using Excel or BI and visualization tools such as Power BI, Tableau, or Looker Exposure to predictive modeling, Machine Learning, or statistical modeling techniques Familiarity with Generative AI, Large Language Models (LLMs), or AI-based applications Portfolio demonstrating practical data work, such as Git Hub repositories, Kaggle notebooks, university assignments, bootcamp projects, or personal Data Analytics / Data Science projects

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai<br>Overview:As an Engineer - ML QA at Inception, you will be responsible for developing and executing quality assurance processes to ensure the accuracy, reliability, and performance of machine learning models and AI applications. you will work closely with data scientists, software engineers, and product teams to validate ML models and systems. Your role is crucial in maintaining high standards of quality for the company's AI & machine learning initiatives.<br>What You’ll Own:<br>As an Engineer - ML QA, you will be responsible for executing QA processes for machine learning models to ensure they meet the company’s quality standards. Your role will encompass a range of activities focused on model validation, testing, and collaboration.o Collaborate with a team of ML QA engineers to ensure the highest quality product delivery.o Design, implement, and oversee the overall ML QA strategy for machine learning-based products and services.o Collaborate closely with cross-functional teams, including software engineers, machine learning scientists, and product managers.o Design and execute test plans, including manual and automated test cases.o Validate AI chat and RAG applications for response accuracy, relevance, groundedness, hallucination, safety, and retrieval quality.o Implement LLM-as-a-Judge evaluation approaches and automated evaluation pipelines using Deep Eval.o Monitor ML QA results and metrics, and report findings to senior management.o Lead root cause analysis and complex problem-solving initiatives for project issues.o Maintain up-to-date knowledge of the latest QA tools, frameworks, and best practices, and drive adoption across the QA team.o Ensure compliance with industry and company quality standards.<br>What We’re Looking For:<br>o Bachelor’s degree in computer science, Engineering, or a related technical field.o Minimum of 5 years of experience in a QA role, with at least 2 years in a leadership position.o In-depth experience with QA methodologies, tools, and processes.o Understanding of machine learning products lifecycle.o Strong experience with data quality assessment.o Proven experience in writing clear, concise, and comprehensive test plans and test cases.o Familiarity with software development lifecycle (SDLC) and agile methodologies.o Experience with cloud-based services and architectures.o Strong problem-solving skills and excellent attention to detail.o Domain experience in health, finance or climate industry is a plus.o Excellent verbal and written communication skills. Tech stacko Programming languages: Python, Java, SQLo Testing Tools: Playwright, Selenium, JUnit, PyTest, Gatling, Postman, Rest Assuredo LLM Evaluation: Deep Eval, LLM-as-a-Judge, AI Chat and RAG validationo CI/CD: Jenkins, Git Lab CI/CDo Version Control: Gito Cloud Services: Azure (optional AWS, GCP)o Databases: MySQL, Mongo DB, Postgre SQLo Monitoring Tools: Grafana, Kibanao Collaboration: Jira, Confluenceo Other Technologies: Docker, Kubernetes<br>Why Inception42<br>Inception42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives. If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.

menu close<br><br>Capture<br><br>Connect<br><br>Control<br><br>Company Careers 4 Contact<br><br>WH #7, Bin Bishr Building<br><br>Ras Al Khor, Dubai<br><br>+971 54 582 2023<br><br>info@resolute-dynamics.com<br><br>AI / ML Engineer<br><br>Apr 2, 2025 Resolute Dynamics<br><br>About The Role<br><br>We are looking for an AI/ML Engineer to join our team and contribute to the development, deployment, and optimization of machine learning models for real-world applications. This role provides an opportunity to work on cutting-edge AI technologies, improve model performance, and drive innovation in artificial intelligence and machine learning.<br><br>The Principal Responsibilities Of The AI /ML Engineer Are<br><br>Design, develop, and optimize machine learning models for various applications. Collect, preprocess, and analyze large datasets to improve model accuracy and efficiency. Deploy, monitor, and maintain ML models in production environments. Implement and fine-tune deep learning architectures using frameworks like Tensor Flow and PyTorch. Collaborate with cross-functional teams to integrate AI-driven solutions into products and services. Stay up to date with the latest advancements in AI, ML, and data science to enhance system performance.<br><br>Requirements<br><br>Qualifications Required<br><br>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong understanding of machine learning algorithms, deep learning techniques, and statistical modeling. Proficiency in Python and experience with ML frameworks such as Tensor Flow, PyTorch, or Scikit-Learn. Hands-on experience with data preprocessing, feature engineering, and model evaluation. The ability to effectively communicate technical concepts verbally and in writing. Ability to operate in a fast-paced environment, make effective and timely decisions, and solve complex problems.<br><br>Qualifications Preferred<br><br>Master’s degree or PhD in AI, Machine Learning, or a related field. At least 2+ years of professional experience in AI/ML development. Experience working with cloud platforms (AWS, GCP, or Azure) for ML model deployment. Knowledge of MLOps, model monitoring, and performance optimization techniques. Familiarity with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Prior experience working at a startup or fast-growing tech company.<br><br>Aug 26, 2026<br><br>Building a Unified Fleet Data API Gateway<br><br>Most fleets do not run one telematics system; they run several, and each one keeps its data behind its own login, its own API, and its own format. A unified fleet data API gateway solves this by putting a single, consistent interface in front of every vendor, so each vehicle<br><br>Read More<br><br>Stay up-to-date with what's next<br><br>Δ<br><br>By signing up to receive emails from Resolute, you agree to our Privacy Policy.<br><br>segments<br><br>Capture Connect Control<br><br>the company<br><br>ABOUTBLOGCAREERSCONTACTSITEMAP<br><br>Social<br><br>Linked InInstagram Facebook<br><br>Contact<br><br>Bin Bishr Building – Warehouse No:07, Ras Al Khor Industrial Area 1, Dubai, UAE<br><br>PO Box No : 35450<br><br>Phone: +971 54 582 2023<br><br>Email: info@resolute-dynamics.com<br><br>© 2026 Resolute Dynamics.<br><br>Privacy policy Press resources

???? AI Safety Researcher???? Role Description We are looking for a thoughtful, analytical, and research-oriented AI Safety Researcher to help identify, understand, and mitigate risks associated with advanced artificial intelligence systems. ????️????In this role, you will contribute to research focused on making AI systems safer, more reliable, interpretable, robust, and aligned with intended objectives. You will investigate potential failure modes, evaluate model behavior, develop safety methodologies, and collaborate with researchers and technical teams to translate findings into practical improvements. ???????? Key Responsibilities Conduct research on AI safety, alignment, robustness, reliability, interpretability, and responsible AI. Design experiments to evaluate AI model behavior, capabilities, limitations, and potential failure modes. Develop and test methods for identifying, measuring, and mitigating AI-related risks. Analyze model outputs and investigate unexpected, harmful, misleading, or unreliable behaviors. Explore techniques for improving model robustness, controllability, transparency, and reliability. Develop evaluation frameworks, benchmarks, and testing methodologies for AI safety. ????Review relevant academic literature, research findings, and emerging developments in AI safety. Implement research ideas through experiments, prototypes, simulations, or computational studies. Analyze experimental results and communicate findings through clear technical reports and presentations. Collaborate with researchers, engineers, data scientists, and other stakeholders on safety-focused initiatives. ????Identify emerging risks and contribute to proactive approaches for responsible AI development. Support the development of safety guidelines, evaluation processes, and technical best practices. Maintain well-documented research methods, experiments, results, and conclusions. Continuously explore new research directions and contribute innovative ideas to the field. ???????? Qualifications Bachelor’s, Master’s, or PhD-level education in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Cognitive Science, or a related field. Strong understanding of machine learning and modern AI concepts. Solid knowledge of AI safety, responsible AI, model evaluation, robustness, alignment, interpretability, or related research areas. Strong analytical, mathematical, and problem-solving abilities. ????Ability to formulate research questions, design experiments, and evaluate results systematically. Strong programming skills, particularly in Python or similar research-oriented languages. Familiarity with machine learning frameworks, data analysis tools, and scientific computing environments. Ability to critically evaluate technical research papers and emerging AI safety methodologies. Strong understanding of experimental design, statistical reasoning, and data-driven analysis. Excellent technical writing and communication skills. Curiosity, intellectual rigor, and a willingness to investigate complex and uncertain problems. Ability to collaborate effectively in multidisciplinary research environments. ????Strong ethical awareness and commitment to developing safe, reliable, and beneficial AI systems. Creative and independent research mindset with the ability to explore unconventional solutions. Commitment to continuous learning in the rapidly evolving field of artificial intelligence. ????If you are passionate about understanding the risks of advanced AI and developing practical methods to make AI systems safer, more reliable, and more trustworthy, this role offers an exciting opportunity to contribute to meaningful research and responsible AI development. ????

Key Responsibilities<br><br>Lead the deployment, administration, and optimization of enterprise Kubernetes environments running on Nutanix infrastructure, ensuring resilience, scalability, and operational excellence. Design and build infrastructure solutions that support advanced AI and machine learning workloads, including GPU-enabled environments, model deployment frameworks, and large-scale data processing pipelines. Develop and maintain automated infrastructure provisioning and configuration management using tools such as Terraform, Ansible, Helm, and Git Ops frameworks. Establish and enhance CI/CD pipelines to streamline the deployment of AI services, containerized applications, and machine learning workflows. Drive operational maturity through the implementation of monitoring, logging, tracing, and alerting solutions utilizing platforms such as Prometheus, Grafana, ELK, and Open Telemetry. Implement and maintain security controls including RBAC, container image governance, secrets management, network segmentation, and workload protection aligned with enterprise compliance standards. Continuously optimize cluster performance, storage utilization, networking efficiency, and compute resource allocation across CPU and GPU workloads. Work closely with AI engineers, platform architects, and development teams to onboard applications, improve user experience, and establish operational best practices. Define, implement, and validate backup, recovery, and disaster recovery procedures for Kubernetes platforms and associated data services. <br><br>Required Qualifications<br><br>Minimum 5 years of experience in Dev Ops, Platform Engineering, Cloud Operations, or Site Reliability Engineering, including at least 3 years of hands-on Kubernetes administration in production. Strong experience working with Nutanix technologies including AHV, Prism, Karbon, Files, and Objects within enterprise environments. Demonstrated experience supporting AI/ML platforms and tools such as Kubeflow, MLflow, KServe, Ray, or similar ecosystems. Advanced knowledge of Infrastructure as Code and platform automation using Terraform, Ansible, Helm, and Git Ops methodologies. Proficiency in scripting and automation using Python, Bash, Go, or equivalent languages. Experience managing GPU-enabled Kubernetes environments and NVIDIA accelerator technologies. Sound understanding of Kubernetes networking, storage, security, and policy enforcement frameworks. Hands-on experience with CI/CD tools such as Git Lab CI, Git Hub Actions, Jenkins, or similar platforms. Experience implementing and managing observability and monitoring solutions in cloud-native environments. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience. <br><br>Preferred Qualifications<br><br>Nutanix certifications such as NCP-MCI, NCP-DS, or related credentials. CNCF certifications including CKA, CKAD, or CKS. Experience managing multiple Kubernetes clusters across hybrid or enterprise environments using solutions such as Rancher, Open Shift, or Anthos. Strong understanding of MLOps principles, model lifecycle management, and machine learning deployment frameworks. Exposure to regulated industries and compliance-driven environments, including financial services, healthcare, or government sectors. Familiarity with modern governance and security standards such as SOC 2, HIPAA, GDPR, or ISO 27001. <br><br>Senior Dev Ops Engineer in Abu Dhabi, United Arab Emirates

<p><strong>Job Description:</strong></p><p>This position is only for UAE nationals.&nbsp;The position&nbsp;will be based in Sharjah.&nbsp;The Candidate we are looking for should have a&nbsp;bachelor degree in Engineering and at least&nbsp;4 years of experience in Marketing (preferred in FMCG). the total salary range for this role is up to 15,000 AED per month. working hours is from 9.00 am - 6.30 pm including lunch time.&nbsp;</p><p>The role purpose&nbsp;is responsible for strengthening consumer KPI of the brands, develop brand activity, launch NPD’s as per plan.</p><p>This position is responsible for Managing and monitoring the entire maintenance of beverage and control functions</p><p>&nbsp;</p><p><strong>Roles &amp; Responsibilities:</strong></p><ul><li>Implement preventive maintenance schedule system within the budget &amp; local development of spares to modify machine components &amp; equipment.</li><li>Installation of new machines &amp; commissioning.</li><li>Ensure fitness of plant &amp; machine to run any new product trial.</li><li>Plan to execute &amp; arrange the spares for preventive maintenance.</li><li>Keep &amp; update the maintenance record of all beverage machines for traceability.</li><li>Complete all kind of activities related to maintenance through Oracle (ERP) system.</li><li>Co-ordinate with QA department to clear different audits.</li><li>Coordinate with engineering store to keep reasonable inventory level as backup.</li><li>Investigation of Customer Complaint and Corrective action.</li><li>Keep beverage maintenance cost within the budget to achieve FOH/Ton targets.</li><li>Reduce maintenance cost per pack by taking preventive actions.</li><li>Increase efficiency of all process plants &amp; other Tetra Pak machines.</li></ul><p><br></p><p><strong>Requirements:</strong></p><ul><li>At least 4 years’ experience</li><li>Maintenance</li><li>Technician</li><li>Communication skills</li><li>Team player</li><li>Bachelor Degree in Engineering</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p>Discover the warm French-Polynesian welcome of our luxury 5 star beach resort situated on the East Crescent of the world famous Palm Jumeirah, offering a rejuvenating escape inspired by the rich culture of the South Pacific.</p><br><p>Nestled amongst lush greenery on the idyllic shores of the Arabian Gulf, Sofitel Dubai The Palm offers a tropical and relaxing sanctuary, only a short distance away from the vibrant, buzzing metropolis of Dubai.</p><br><p>With magnifique touches of French elegance interlaced throughout the hotel, we invite you to ‘Live the French way’ and indulge in excellence.</p><br><br>Job Description<br><br><ul><li>Proactively manage a pre-determined number of key accounts/key prospects and other active accounts to ensure maximum production to meet set target.&nbsp;</li><li>Maintain valid call objectives and relevant action plans for each key account/key prospect and ensure all follow up is done in timely manner.</li><li>Proactively prospect new accounts for Sofitel Dubai The Palm, Dubai and follow the sales process through to convert into ‘producing’ accounts.</li><li>Take personal responsibility to ensure that all accounts are properly updated in the system and that the system is utilized to its full capacity.&nbsp;</li><li>Maintain up-to-date activity and rate information for each account.</li><li>Understand and be in a position to action any group and event enquiry and ensure accurate hand over for follow up to Inspired Meeting team.</li><li>Communicating client requirements in a timely and accurate manner to all internal departments as required, ensuring delivery of superior guest service.</li><li>Ensure accurate follow up and communication both internally to reservations and accounting departments, and confirmation to client.&nbsp;</li><li>Ensure property rates sheets are accurate at all times.</li><li>Communicate any obstacles to completing action plans to Director of Sales - Leisure.</li><li>To arrange and manage familiarization / educational trips in line with business needs.</li><li>Entertain clients and potential clients in hotel outlets to showcase our property and special “Savoir Faire”.</li></ul><br>Qualifications<br><br><ul><li>2 years in a similar role in the luxury hospitality industry</li><li>2 years’ experience actively managing Tour Operator relationships within their respective markets</li><li>Language skills – at least 2 or 3 other language over and above English – preferably German, French or Russian</li><li>2 years’ experience actively managing Tour Operator relationships within their respective markets</li></ul> </div>

We are on the lookout for a resourceful Sales Executive - ERP Software to join our incredible team in Dubai. Growing your career as a Full-Time Sales Executive - ERP Software is a terrific opportunity to develop exceptional skills.<br>RESPONSIBILITIES:• Good understanding of ERP Software• Through understanding of verticals – Trading, distribution, Projects and Manufacturing• Excellent stakeholders and Accounting mapping skills• Great Communication skills and ability to build and maintain relationships with CIO, Head of IT, CFO, General Manager, and CEO• Develop the business by uncovering new opportunities, through prospecting and demand generation• Own the Lead to closure cycle. Independent operator should self-driven• Great ability to differentiate products and services in a competitive partner ecosystem environment.<br>QUALIFICATIONS:• Min 3 to 4 years quota carrying sales experience in the Enterprise market within the UAE, Min 2 years in the UAE - ERP sales experience (MICROSOFT/ ERPNEXT / ODOO / ORACLE / NETSUITE/ SAP)• Demonstrable overachievement of revenue goals.• Strong sales skills including business justification, negotiation and closing.• Fluency in English• Excellent organizational skills.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The Back of House Manager is responsible for the overall cleanliness, sanitation, hygiene, and operational efficiency of the back-of-house (BOH) areas, including kitchens, dishwashing stations, storage areas, and equipment. This role ensures compliance with health and safety regulations, manages the stewarding team, controls operating costs, and supports smooth coordination between kitchen, F&amp;B, and stewarding operations.<br><br>Sanitation &amp; Hygiene Management<br><ul><li>Ensure all kitchen equipment, utensils, crockery, cutlery, and glassware are cleaned, sanitized, and stored per health and safety standards.</li><li>Maintain compliance with HACCP, local health department, and food safety regulations.</li><li>Conduct regular inspections of BOH areas (kitchens, dish pits, storage, walk-ins, garbage/waste areas) to ensure cleanliness standards are upheld.</li><li>Implement and monitor pest control programs in coordination with relevant departments/vendors.</li></ul>Team Leadership &amp; Staff Management<ul><li>Recruit, train, schedule, and supervise stewarding staff (stewards, kitchen porters, dishwashers).</li><li>Conduct performance evaluations, coaching, and disciplinary actions as needed.</li><li>Develop training programs on chemical handling, machine operation, and safety protocols.</li><li>Foster a culture of teamwork, accountability, and safety awareness among BOH staff.</li></ul>Equipment &amp; Machinery Maintenance<ul><li>Oversee the proper use, maintenance, and repair of dishwashing machines, glass washers, and other stewarding equipment.</li><li>Coordinate with the engineering/maintenance department for equipment servicing and breakdown repairs.</li><li>Maintain inventory of kitchen equipment, utensils, and smallware; manage replacement and breakage tracking.</li></ul>Inventory &amp; Cost Control`<ul><li>Manage inventory of cleaning chemicals, supplies, crockery, cutlery, and glassware.</li><li>Control breakage and loss through proper handling procedures and staff training.</li><li>Monitor and manage stewarding department budget, including chemical and supply costs.</li><li>Conduct regular stock counts and coordinate replenishment/purchasing with procurement.</li></ul>Waste Management<ul><li>Oversee proper segregation, storage, and disposal of kitchen waste and recyclables.</li><li>Ensure compliance with local waste management and environmental regulations.</li><li>Implement sustainability initiatives (e.g., grease trap management, recycling programs).</li></ul>Health, Safety &amp; Compliance<ul><li>Ensure compliance with occupational health and safety standards (OSHA or local equivalent).</li><li>Maintain Material Safety Data Sheets (MSDS) for all chemicals used.</li><li>Conduct safety training, including proper chemical handling and machine operation.</li><li>Lead or participate in health/safety audits and regulatory inspections.</li></ul>Cross-Departmental Coordination<ul><li>Liaise with Culinary, F&amp;B Service, Banquets, and Purchasing teams to ensure smooth BOH operations.</li><li>Support event and banquet operations with adequate stewarding coverage.</li><li>Communicate equipment needs, shortages, or operational issues to relevant department heads.</li></ul>Administrative Duties<ul><li>Prepare and manage staff schedules, payroll input, and attendance records.</li><li>Maintain records of equipment maintenance, chemical usage, and inventory counts.</li><li>Prepare reports on department performance, costs, and improvement initiatives.</li></ul> </div>

<p>Are you passionate about Artificial Intelligence and ready to make an impact? We are looking for talented Emirati professionals to join our team in Abu Dhabi, UAE.</p><p><br><strong>Available Positions:</strong></p><ul><li><p>Machine Learning Engineer</p></li><li><p>Data Scientist</p></li><li><p>AI Software Developer</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Engineering, Software Engineering, Computer Science, or a related field.</p></li><li><p>Completion of relevant AI/ML training programs or certifications, including platforms such as AWS Machine Learning, Azure AI, or Google AI, demonstrating applied knowledge and expertise.</p></li><li><p>Minimum 2 years of progressive experience working on AI/ML projects, including model development, deployment, and implementation within the technology sector or related industries.</p></li><li><p>Strong programming skills in Python, R, or Scala, with practical experience using AI frameworks such as TensorFlow, PyTorch, or scikit-learn.</p></li><li><p>Willing to work onsite in Abu Dhabi.</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Create detailed 2D and 3D CAD drawings for joinery, furniture, and loose furniture projects.</p></li><li><p>Develop and manage drawings using CAD + T as per company and project standards.</p></li><li><p>Prepare machine CON setup drawings to support manufacturing and production processes.</p></li><li><p>Interpret design concepts and convert them into production-ready technical drawings.</p></li><li><p>Coordinate with design, production, and site teams to ensure accuracy and feasibility.</p></li><li><p>Ensure drawings comply with quality, material, and dimensional standards.</p></li><li><p>Maintain organized documentation and revision control of all drawings.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Diploma or Certification in Engineering Drafting, CAD, CAD + T, or a related field.</p></li><li><p>Minimum 2 years of experience in 3D modeling and technical drafting.</p></li><li><p>Proven experience with CAD + T is mandatory.</p></li><li><p>Hands-on experience in: Joinery drawings / Furniture and loose furniture drawings / Machine CON setup drawings</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p></p><ul><li><p>Arrange and design flower bouquets and floral arrangements professionally.</p></li><li><p>Prepare gifts and flower packaging with creativity and attention to detail.</p></li><li><p>Take high-quality photos and videos of products for social media.</p></li><li><p>Manage social media accounts, create content, and respond to customer inquiries.</p></li><li><p>Operate the Cricut machine for customized designs and products.</p></li><li><p>Provide excellent customer service and assist customers with their orders.</p></li><li><p>Maintain the cleanliness and organization of the flower shop.</p></li></ul><p></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p></p><ul><li><p>Female candidate with proven experience in flower arrangement and bouquet design.</p></li><li><p>Experience in photography and product photography.</p></li><li><p>Experience in managing social media accounts such as Instagram and TikTok.</p></li><li><p>Proficiency in using a Cricut machine.</p></li><li><p>Creative, organized, and detail-oriented.</p></li><li><p>Strong communication and customer service skills.</p></li><li><p>Currently based in the UAE is preferred.</p></li></ul><p></p><p></p></section>

Role: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<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 scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<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: Video Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $65 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. The role involves annotating video content to improve machine learning models for computer vision applications. You will work closely with AI teams to ensure high-quality labeled data for training and evaluation.<br>Key Responsibilities:• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.• Verify and validate annotated data to meet project-specific requirements and performance metrics.• Document annotation processes and report inconsistencies or challenges encountered during labeling.<br>Required Skills & Qualifications:• Experience in video annotation or image labeling for computer vision projects.• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.• Attention to detail with the ability to follow complex annotation guidelines accurately.• Familiarity with machine learning concepts and data labeling best practices.• Strong time management skills to meet project deadlines and deliver high-quality outputs.<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 the development of cutting-edge AI models. The project involves annotating video datasets to enhance real-world applications such as autonomous systems and surveillance technologies.<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: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<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 scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<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>he AI Engineer is responsible for developing, testing, and deploying AI/ML and Generative AI solutions, including LLM-based applications, RAG pipelines, and Agentic workflows. This role also includes the ability to deploy and run LLMs on local/on-premise servers, supporting secure and efficient AI solution delivery in enterprise environments. </p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Computer Science, AI, Data Science, or related field. 2+ years of experience in AI/ML development. Strong programming skills in Python. Hands-on experience with: o Machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow) o Basic NLP concepts Understanding of ML model lifecycle (training, evaluation, deployment). Familiarity with REST APIs and integration concepts. Experience with Git/version control.</p></li></ul>

Role: Senior Engineer - AI Platforms (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Engineer to develop and deploy AI models. The role involves designing, testing, and integrating AI solutions to enhance product capabilities. Candidates will work on scalable AI systems that support real-world applications.<br>Key Responsibilities:• Design, build, and optimize AI models using machine learning frameworks such as Tensor Flow or PyTorch.• Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.• Evaluate and improve model accuracy, performance, and scalability through rigorous testing and validation.• Implement best practices for data preprocessing, feature engineering, and model training.• Document technical specifications, model performance metrics, and deployment procedures.<br>Required Skills & Qualifications:• Proficiency in machine learning frameworks such as Tensor Flow or PyTorch.• Experience with Python and libraries for data analysis and AI development.• Knowledge of neural network architectures and model training techniques.• Familiarity with cloud platforms such as AWS, GCP, or Azure for AI model deployment.• Strong problem-solving skills and the ability to optimize models for real-world performance.<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 the development of cutting-edge AI solutions. The work directly impacts product innovation and user experience.<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: Neuroscience Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Neuroscience Expert to work on a contract basis. The role involves applying deep neuroscience knowledge to develop and refine AI models, ensuring alignment with human cognitive processes. Responsibilities include evaluating and optimizing neural architectures for performance and efficiency.<br>Key Responsibilities:• Design and implement neuroscience-based approaches to enhance AI model interpretability and functionality.• Collaborate with cross-functional teams to integrate neuroscience principles into machine learning pipelines.• Analyze neural network architectures for alignment with biological neural processes and cognitive models.• Conduct research to identify novel neuroscience-inspired techniques for improving AI systems.• Document methodologies and findings to support scalable implementation and knowledge sharing.<br>Required Skills & Qualifications:• Advanced degree in Neuroscience, Cognitive Science, or related field, or equivalent experience.• Proficiency in neural network architectures and their biological counterparts.• Experience applying neuroscience principles to AI model development.• Strong analytical skills with the ability to interpret complex biological and computational data.• Familiarity with machine learning frameworks such as Tensor Flow or PyTorch.<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 AI systems that mimic human cognition. The position requires a balance of theoretical neuroscience and practical AI implementation.<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!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Unseen Era is hiring a Sales &amp; Business Development Executive – Industrial Automation in Dubai, UAE.</b></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><b>Preferred experience:</b> Industrial B2B field-sales experience preferred</p><p><b>Location:</b> Dubai, UAE</p><p> <b>Experience:</b> 0–3 years preferred</p><p> <b>Salary:</b> AED 1,500–3,500 + incentives, depending on experience</p><p> <b>UAE Driving Licence:</b> Preferred</p><p><b>This is primarily a field-sales role. Candidates should be comfortable regularly visiting factories and industrial areas.</b></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><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></div>

Role: Neuroscience Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Neuroscience Expert to work on a contract basis. The role involves applying deep neuroscience knowledge to develop and refine AI models, ensuring alignment with human cognitive processes. Responsibilities include evaluating and optimizing neural architectures for performance and efficiency.<br>Key Responsibilities:• Design and implement neuroscience-based approaches to enhance AI model interpretability and functionality.• Collaborate with cross-functional teams to integrate neuroscience principles into machine learning pipelines.• Analyze neural network architectures for alignment with biological neural processes and cognitive models.• Conduct research to identify novel neuroscience-inspired techniques for improving AI systems.• Document methodologies and findings to support scalable implementation and knowledge sharing.<br>Required Skills & Qualifications:• Advanced degree in Neuroscience, Cognitive Science, or related field, or equivalent experience.• Proficiency in neural network architectures and their biological counterparts.• Experience applying neuroscience principles to AI model development.• Strong analytical skills with the ability to interpret complex biological and computational data.• Familiarity with machine learning frameworks such as Tensor Flow or PyTorch.<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 AI systems that mimic human cognition. The position requires a balance of theoretical neuroscience and practical AI implementation.<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!