Machine operator Jobs

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 position is fully remote, providing flexibility to work from anywhere.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 position is fully remote, providing flexibility to work from anywhere.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 position is fully remote, providing flexibility to work from anywhere.<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 (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 position is fully remote, providing flexibility to work from anywhere.<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!

Enterprise Data Architect – AI & Databricks We are looking for an experienced Data Architect with 10+ years of experience designing and delivering modern, enterprise-scale data platforms. The ideal candidate will have deep expertise in Databricks and cloud-native data architectures, with a proven track record of building scalable, high-performance data ecosystems. You will be responsible for designing end-to-end data platforms, including Medallion Lakehouse architectures, that support advanced analytics, machine learning, and AI-driven use cases. A strong background in AI is essential, with experience designing architectures that enable feature engineering, MLOps, and Generative AI workloads. You should be comfortable working across both architecture and engineering, translating complex business requirements into secure, scalable, and production-ready data solutions.<br><br>Key requirements 10+ years of experience in Data Architecture, Data Engineering, or related fields Proven expertise designing and implementing Databricks Lakehouse platforms, including Medallion (Bronze, Silver, Gold) architecture Strong experience with cloud-native data platforms, preferably on Microsoft Azure Hands-on experience designing data platforms that support AI, Machine Learning, and Generative AI use cases Deep understanding of data modelling, data governance, security, and enterprise-scale data platform design Experience with Delta Lake, data pipelines, ETL/ELT frameworks, and performance optimisation Ability to collaborate with engineering, analytics, and business stakeholders to deliver enterprise-wide data initiatives Excellent communication and stakeholder management skills with the ability to influence both technical and business audiences

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span>We're recruiting a </span></span><span><span><span><span><span><span><span>CNC Field Service Engineer for</span></span></span></span></span></span></span><span><span>&nbsp;one of our clients, who is a leading manufacturing company based in Dubai, UAE.</span></span><br><br><b><span>About Our Client:</span></b><br><br><span><span>Our client is a leading manufacturing company based in Dubai, UAE, specializing in delivering innovative industrial solutions across diverse sectors. With a strong commitment to quality, operational excellence, and advanced manufacturing technologies, the company has established a solid reputation for delivering high-performance products and integrated production solutions.</span></span><br><br><b><span>Key Responsibilities:</span></b><br><br></span><ul><li><span><span><span>Install and commission new CNC machines at customer sites, including assembly, alignment, leveling, calibration, wiring, and final testing to ensure the machines are fully operational</span></span></span></li><li><span><span><span>Perform planned preventive maintenance and provide reactive breakdown support to minimize machine downtime</span></span></span></li><li><span><span><span>Diagnose and troubleshoot complex technical issues involving mechanical, electrical, hydraulic, pneumatic, and CNC control systems</span></span></span></li><li><span><span><span>Read and interpret technical drawings, electrical schematics, and PLC (Programmable Logic Controller) ladder diagrams to carry out repairs and maintenance</span></span></span></li><li><span><span><span>Provide technical training to customer personnel on the safe and efficient operation and maintenance of CNC equipment</span></span></span></li><li><span><span><span>Prepare detailed service reports documenting hours worked, installations completed, repairs performed, parts used, and technical recommendations<br></span></span><br></span></li></ul><br><span>Requirements</span><ul><li><span><span><span>Bachelor's degree in Mechatronics, Electrical Engineering, Mechanical Engineering, Industrial Automation, or a related field</span></span></span></li><li><span><span><span>Minimum 5 years of experience in CNC machine installation, commissioning, maintenance, and troubleshooting</span></span></span></li><li><span><span><span>Hands-on experience with CNC milling machines is mandatory</span></span></span></li><li><span><span><span>Experience working with machine tool manufacturers, CNC distributors, or authorized service providers is preferred</span></span></span></li><li><span><span><span>Experience in customer-facing field service roles</span></span></span></li><li><span><span><span>Strong knowledge of FANUC CNC systems and software maintenance functions</span></span></span></li><li><span><span><span>Strong knowledge of Siemens SINUMERIK controllers (828D, 840D, and SINUMERIK ONE) and their software maintenance functions</span></span></span></li><li><span><span><span>Knowledge of CNC parameter backup, restoration, and recovery procedures</span></span></span></li><li><span><span><span>Knowledge of PLC diagnostic tools and troubleshooting techniques</span></span></span></li><li><span><span><span>Knowledge of servo and spindle drive diagnostics</span></span></span></li><li><span><span><span>Knowledge of CAD/CAM software is an advantage</span></span></span></li><li><span><span><span>Valid UAE driving license (preferred or mandatory, as per company policy)</span></span></span></li><li><span><span><span>Willingness and ability to travel across the UAE and GCC countries</span></span></span></li><li><span><span><span>Good command of written and spoken English</span></span></span></li></ul><br><span>Benefits</span><ul><li><span><span><span>Competitive Salary</span></span></span><br></li><li><span><span><span>Employee Benefits as per the UAE Labor Law</span></span></span><br></li></ul><br> </div>

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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are currently recruiting for PMC Lead Engineer Digitalization role to support our ADNOC Offshore project in Abu Dhabi, United Arab Emirates.&nbsp;</p><br><p>Due to the nature of the projects and client expectation, the position will be based at our client office in Abu Dhabi, United Arab Emirates.&nbsp;</p><br><p><strong>Our Clients and Projects&nbsp;</strong></p><br><p><strong>Designing the future. Transforming the world</strong></p><br><p>Wood's Oil, Gas &amp; New Energies business is built on a strong legacy of delivering large and complex projects for national and international energy companies across the globe. We have experienced teams, a proven delivery model and a strong reputation.</p><br><p>We are the market-leading provider of integrated and innovative solutions that challenge the status-quo in the oil and gas upstream and midstream, onshore and offshore, gas to liquids and decarbonization and electrification markets. We pride ourselves in steady and predictable delivery, setting our sights on an exciting growth trajectory.&nbsp;</p><br><p>Energy security, transition and supply have never been more important. You, our enabling teams, are at the very forefront of transformative projects that are providing sustainable power to generations to come. We are the ones to bring low-carbon concepts to reality.</p><br><p><strong>What we can offer</strong></p><br><ul> <li><strong>Meaningful and interesting projects:</strong> Delivered to high profile clients across the Energy Sector</li> <li><strong>Commitment to Diversity and Inclusion</strong>: We are an organization actively committed to diversity and inclusion across our business&nbsp;</li> <li><strong>Competitive renumeration package:&nbsp;</strong>With regular reviews to ensure we are rewarding at the right level in line with the market&nbsp;</li> <li><strong>Medical Insurance</strong>:&nbsp;Ensures inpatient, and outpatient medical care is available should you require treatment</li> <li><strong>Group Life and Personal Accident Insurance</strong>:&nbsp;The company provides Life Assurance cover&nbsp;</li> <li><strong>End of Service Gratuity:</strong> In line with UAE Labor Law, all employees are eligible for an End of Service benefit</li> <li><strong>The Employee Share Plan:&nbsp;</strong>Gives you the opportunity to purchase Wood shares and receive a match from the company</li> <li><strong>Long Service Award</strong>:&nbsp;Wood values the commitment and loyalty of our people. Celebrating Long Service provides an opportunity for the business to demonstrate their appreciation of the hard work, dedication and many years’ services of our employees at 5-year service milestones</li> <li><strong>Commitment to continued professional development:</strong>&nbsp;Development plans that are tailored to your individual needs and interests&nbsp;</li> <li><strong>Global connections:</strong>&nbsp;Join experts around the world who are at the leading edge of our industry, shaping the standards of our profession&nbsp;</li> <li><strong>Energy Transition Academy:&nbsp;</strong>Join a community of experts sharing your knowledge and gaining more exposure to a variety of existing and emerging energy systems – delivered by experts in their field</li></ul><br> Wood is a global leader in consulting, engineering and operations for the energy and materials sectors. With 33,000 people in around 50 countries, Wood supports clients across the full asset lifecycle, delivering safe, predictable outcomes while enabling resilient operations and a lower carbon future. Wood forms the Energy &amp; Materials pillar of Sidara - a global partnership uniting leading multidisciplinary engineering, design, and project management companies. www.woodgroup.com<br> <b>Diversity Statement&nbsp;</b><br> We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.<br><br>Responsibilities:<br><p><strong>Objective</strong></p><br><p>The PMC Offshore Lead Engineer – Digitalization is responsible for leading the digital engineering strategy, implementation, and integration for offshore oil &amp; gas projects during FEED, EPC, commissioning, and handover phases. The role ensures the effective use of digital technologies, engineering information management systems, digital twins, BIM/3D models, data analytics, and smart asset solutions to improve project execution, operational efficiency, and lifecycle asset management.</p><br><ul> <li>Develop and implement the project's digitalization strategy.</li> <li>Lead digital engineering activities across multidisciplinary engineering teams.</li> <li>Ensure alignment with client digital transformation objectives.</li> <li>Establish digital workflows, standards, and governance.</li> <li>Manage engineering data and document management systems.</li> <li>Ensure data quality, consistency, and compliance with project standards.</li> <li>Coordinate engineering data exchange between EPC contractors and the client.</li> <li>Oversee metadata management and information lifecycle.</li> <li>Lead the development and implementation of Digital Twin solutions.</li> <li>Ensure integration of engineering models with operational systems.</li> <li>Coordinate digital asset handover requirements.</li> <li>Validate Asset Information Model (AIM) deliverables.</li> <li>Supervise 3D model coordination.</li> <li>Ensure clash detection and model quality.</li> <li>Support BIM execution planning where applicable.</li> <li>Review model maturity throughout project phases.</li></ul><p>Systems Integration</p><br><ul> <li>Coordinate integration between: <ul> <li>Engineering databases</li> <li>AVEVA solutions</li> <li>Hexagon SmartPlant applications</li> <li>Bentley platforms</li> <li>SAP</li> <li>ERP systems</li> <li>CMMS</li> <li>GIS</li> <li>SCADA</li> <li>DCS</li> <li>Historian systems</li> </ul></li></ul><p>Data Analytics &amp; Reporting</p><br><ul> <li>Develop engineering dashboards and KPIs.</li> <li>Monitor digital performance metrics.</li> <li>Utilize Power BI, Tableau, or equivalent visualization tools.</li> <li>Support predictive analytics initiatives.</li></ul><p>Offshore Project Support</p><br><ul> <li>Support offshore construction and commissioning teams.</li> <li>Ensure digital systems are available during offshore execution.</li> <li>Facilitate remote engineering collaboration.</li> <li>Support digital permit and inspection systems where applicable.</li></ul><p>Vendor &amp; Contractor Management</p><br><ul> <li>Review contractor digital deliverables.</li> <li>Audit digital execution plans.</li> <li>Participate in technical bid evaluations.</li> <li>Ensure compliance with client digital specifications.</li></ul><p>Quality &amp; Compliance</p><br><ul> <li>Ensure compliance with: <ul> <li>ISO 19650</li> <li>ISO 55000</li> <li>ISO 15926</li> <li>Client digital standards</li> <li>Company procedures</li> </ul></li> <li>Conduct digital maturity assessments.</li></ul><p>Handover</p><br><ul> <li>Lead digital asset handover.</li> <li>Verify final engineering databases.</li> <li>Ensure completeness of As-Built digital information.</li> <li>Support operations readiness.</li></ul><br>Qualifications:<br> <p><strong>What makes you remarkable</strong></p><br> <p>At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world’s most critical challenges.&nbsp;</p><br> <p><strong>Expected:</strong></p><br> <ul> <li>Minimum 15+ years in Oil &amp; Gas engineering atleast 8+ years in offshore projects.</li> <li>Minimum years leading digital engineering teams.</li> <li>PMC experience preferred.</li> <li>Experience in FEED and EPC projects.</li> <li>ADNOC or similar operator experience is advantageous.</li> </ul><br> </div>

Are you obsessed with owning marketing outcomes, not just marketing tasks?<br><br>What if your campaigns didn't just hit a KPI, but shaped how millions of people grow, learn, and act on their potential?<br><br>This isn't a "manage an agency and report up" marketing job.<br><br>We're not looking for someone who orchestrates other people's execution. We're looking for someone who runs the campaigns themselves, leveraging AI to operate at the scale of a full marketing team.<br><br>And you deserve it because you are…<br><br>????️ You're not "a marketing manager who briefs agencies." You're a builder. You see an opportunity and your hands itch to write the campaign, launch it, and read the results yourself. ???? You don't fear AI, you leverage it. Claude Code, prompt pipelines, and automation tools are core to how you work, you treat AI as a team of interns that lets you run what used to require five hires. ⚡️ You'd rather launch a scrappy campaign this week than a perfect plan next quarter. Bias to action is your default setting. ???? You make decisions with data. You can read performance across channels, kill what doesn't work fast, and double down on what does. <br><br>3–5 years under your belt, ready to own marketing outcomes end to end in a startup.<br><br>Full-time, remote or Dubai office. French and English fluency required.<br><br>About Paradox<br><br>WHAT WE DO<br><br>At Paradox, we are convinced that greatness is trainable.<br><br>That’s why we want to empower people at scale, by leveraging cutting edge technologies like AI, and crafting user experiences with outstanding aesthetics.<br><br>We do that by merging :<br><br> Human Intelligence (coaches, peers, and mentors) Structured Intelligence (protocols, mental models, rituals), Technological Intelligence (AI personalization, feedback loops, adaptive journeys)<br><br>To create one seamless ecosystem: Paradox OS.<br><br>OUR BELIEFS<br><br>We believe self-help is broken.<br><br>Most learning platforms are used the same way : consuming generic theories, getting quick highs, ending with no real change.<br><br>At Paradox, we believe people deserve more.<br><br>More than content. More than motivation.<br><br>They deserve a system that knows them, one that adapts, challenges, and grows with them.<br><br>We believe that every human learns differently, and that technology can do more than entertain or save time.<br><br>It can translate insight into transformation, through AI personalization, lean experimentation, and deep psychological understanding.<br><br>Because learning shouldn’t just make you feel inspired for a day, it should change how you live, think, and create.<br><br>OUR VISION<br><br>At Paradox, we want to re-invent how people grow.<br><br>We do not build another course or coaching app but the Operating System for Greatness.<br><br>Founded by David Laroche, a creator followed by over 2 million people and known for his interviews with icons like Tony Parker, Mike Horn, Richard Branson, and Gad Elmaleh, Paradox aims to build something that will live beyond any individual (including its founder), for decades to come.<br><br>Our ambition is to compete with players like Mindvalley (150M ARR), but with a sharper vision, grounded protocols for achievers, people who want more for their life, refusing mediocrity.<br><br>To do that, we bring together designers, tech, coaches, and filmmakers to create learning experiences that are cinematic, precise, and effective.<br><br>We move fast, aim high, and hold ourselves to the standards of Apple, Spotify, and Master Class. No fluff, focused on meaningful impact.<br><br>While others hide their numbers, we want to let our results speak loudly for us.<br><br>Get obsessed with transforming our clients’ lives and let those transformations be our marketing.<br><br>And that’s where you come in.<br><br>YOUR MISSION ????<br><br>Own marketing performance across channels, not as a coordinator, but as an operator. You set the strategy, but you also execute it, using AI leverage to punch well above the size of your team.<br><br>Your Key Responsibilities<br><br>Own channel strategy & execution : You set priorities across paid, organic, and lifecycle marketing, and you execute the core of it yourself rather than fully delegating. Run campaigns hands-on : Briefs, copy, targeting, launch, analysis. You touch the full loop, not just the strategy slide. AI leverage : You leverage Claude Code daily to build campaign assets, automate reporting, generate creative variations, and run processes that would otherwise require a full team. This is expected, not optional. Read the data & reallocate fast : You live in GA4, ad platforms, and Looker Studio. You reallocate budget/effort toward what compounds within days, not months. Coordinate the extended team : You brief and align Growth, Social, and Content Factory efforts so channels reinforce each other instead of working in silos. Report outcomes, not activity : You bring data-backed recommendations to leadership, not just a status update. <br><br>You'll own KPIs: CAC/LTV by channel, pipeline/revenue attributable to marketing, campaign velocity (launches per month).<br><br>Desired outcomes: A marketing engine that runs lean, compounds over time, and doesn't require headcount growth to scale output.<br><br>DO YOU RECOGNIZE YOURSELF?<br><br>Experience<br><br>3–5 years in marketing, ideally with both strategic and hands-on execution experience (not pure agency-management background). You can show us what you've built and shipped : tests, landing pages, automations, audiences. Portfolio > pedigree. A scrappy before/after beats a polished CV. You already use AI daily to create leverage and solve complex issues. <br><br>Personality<br><br>Curiosity: You relentlessly dig into why users behave the way they do until you uncover the insight behind the data. Hands-On Execution : you build, you don't just brief. Precision: You care about clarity in hypotheses, clean data, and unambiguous results. Agility: You move fast, adapt instantly to new findings, and turn insights into tests within hours, not weeks. <br><br>Language<br><br>French: Native / Bilingual<br><br>English: Fluent English, you can hold a conversation on specific details with English-speaking colleagues.<br><br>Our chosen language for written communication is English.<br><br>IT MIGHT NOT BE FOR YOU<br><br>You want a strict separation between work and life. Execution speed is our biggest advantage right now. A 9-to-5 mindset guarantees you'll fall behind. You need clarity, stability, and established process before you can act. We're still building the machine. If you need everything defined before you move, wrong place. You want to be told exactly what to do. We hire people who bring solutions, not people who wait for instructions. <br><br>WHY JOIN US ❤️<br><br>Help us market a product that fuses neuroscience, design, and AI to reinvent how humans grow.<br><br>Work with filmmakers, psychologists, engineers, and creatives obsessed with impact.<br><br>In the heart of our headquarters stands the 100 000 Dreams Wall,<br><br>Every photo on that wall is a life rewritten:<br><br>“I ran a marathon.”<br><br>“I started my company.”<br><br>“I found peace with my father.”<br><br>You will play a crucial role in the development of an Iconic Product.<br><br>Growth & Ambition<br><br>> ????Being surrounded by A-players who strive to perform<br><br>Impact & Meaning<br><br>> Playing a crucial role in the development of a company whose content and products will be used by millions of people> Waking up in the morning feeling like you are making a difference is something!<br><br>We receive messages every day from clients who have successfully lost weight, quit smoking, reach a milestone in their business, built better relationships, and made positive changes in their lives.<br><br>> ❤️ Contributing to the Paradox Foundation (our non-profit), dedicated to empower teenagers<br><br>But that's not all, we believe that driven people deserve…<br><br>Freedom & Well Being ????<br><br>> ????A company culture based on autonomy & accountability> ????Flexible working hours> ????A remote culture from day one with the freedom to work from wherever you want> ????Work on Mac, for us it counts :)<br><br>HIRING PROCESS ????<br><br>???? A 6 to 8 minutes application survey.<br><br>???? A 15-30 minutes video call, to assess the fit between the position, the company, and your own career path.<br><br>???? A video-call focused on your career to review your background & see how we can match your desires with our needs.<br><br>???? A culture-fit video call to check in depth the alignment between you and our values and culture.<br><br>???? Reference calls to get in-depth insights about how you work in different environments, make your onboarding easier, and give everybody on the team the insurance to be surrounded by A-Players.<br><br>???? Welcome aboard!<br><br>If you’re not joining to tweak landing pages.<br><br>If you’re here to engineer behavioral change at scale, for millions.<br><br>Welcome to Paradox.<br><br>Let’s build the Operating System for Greatness.