Machine operator Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br>POSITION SUMMARY<br>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.<br>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS<br>Education: No high school diploma or G.E.D. equivalent.<br>Related Work Experience: No related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.&nbsp;<br>At more than 100 award-winning properties worldwide, The Ritz-Carlton Ladies and Gentlemen create experiences so exceptional that long after a guest stays with us, the experience stays with them. Attracting the world’s top hospitality professionals who curate lifelong memories, we believe that everyone succeeds when they are empowered to be creative, thoughtful and compassionate. <br>Every day, we set the standard for rare and special luxury service the world over and pride ourselves on delivering excellence in the care and comfort of our guests.<br>Your role will be to ensure that the “Gold Standards” of The Ritz-Carlton are delivered graciously and thoughtfully every day. The Gold Standards are the foundation of The Ritz-Carlton and are what guides us each day to be better than the next. It is this foundation and our belief that our culture drives success by which The Ritz Carlton has earned the reputation as a global brand leader in luxury hospitality. As part of our team, you will learn and exemplify the Gold Standards, such as our Employee Promise, Credo and our Service Values. And our promise to you is that we offer the chance to be proud of the work you do and who you work with.<br>In joining The Ritz-Carlton, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an exceptional <strong>Client Growth Partner</strong> to drive strategic business growth by helping enterprise clients unlock the commercial value of Artificial Intelligence.</p><p>This is not a traditional sales role. We are looking for a commercially minded AI advisor who can engage senior executives, understand complex business challenges, identify opportunities for AI adoption, and position innovative AI solutions that improve efficiency, reduce operational costs, increase productivity, and create competitive advantage.</p><p>The successful candidate will become a trusted advisor to C-level executives and business leaders, leading consultative conversations around AI strategy, digital transformation, automation, data intelligence, and emerging technologies while expanding long-term client relationships.</p><p><strong>Key Responsibilities</strong></p><p>Develop and execute account growth strategies that deliver sustained double-digit revenue growth across assigned enterprise clients.</p><p>Build trusted relationships with CEOs, CIOs, CTOs, Chief Digital Officers, Chief AI Officers and other senior decision makers.</p><p>Identify business challenges and advise clients on how AI technologies can transform operations, improve customer experience and create measurable business value.</p><p>Position AI-enabled solutions including Generative AI, Agentic AI, Machine Learning, Intelligent Automation, Data &amp; Analytics, and Digital Transformation services.</p><p>Lead value-based discussions that translate technical AI capabilities into clear commercial outcomes.</p><p>Develop strategic account plans and identify opportunities to expand services across existing and new business units.</p><p>Work closely with technical architects, AI specialists and consulting teams to develop compelling client solutions.</p><p>Shape commercial proposals, business cases and executive presentations.</p><p>Lead commercial negotiations through procurement and contracting processes.</p><p>Represent the organisation at executive meetings, networking events and industry conferences.</p><p>Secure executive references, testimonials and long-term strategic partnerships with clients.</p><p><strong>Key Performance Outcomes</strong></p><p>Deliver a minimum of <strong>15% year-on-year growth</strong> across assigned accounts.</p><p>Consistently achieve and exceed quarterly and annual revenue targets.</p><p>Expand client engagement across multiple service lines.</p><p>Establish trusted advisor relationships with executive stakeholders.</p><p>Successfully position AI as a strategic business capability within client organisations.</p><p>Generate high-value consulting and technology opportunities.</p><p>Maintain exceptional levels of client satisfaction and retention.</p><p>d responsible AI principles</p><p>Business Process Automation</p><p>CRM platforms (Salesforce, HubSpot or Microsoft Dynamics)</p><p>Enterprise Digital Transformation programmes</p><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Personal Attributes</strong></p><p>We're looking for someone who is:</p><p>A highly credible executive communicator.</p><p>Commercially driven with a consultative approach.</p><p>Passionate about emerging AI technologies.</p><p>Able to translate technical concepts into business outcomes.</p><p>Confident presenting to executive leadership teams.</p><p>Strategic thinker with strong business acumen.</p><p>Highly motivated, resilient and results focused.</p><p>Collaborative and able to work effectively with consulting and technical delivery teams.</p><p><strong>Essential Experience:</strong></p><p>Applicants should demonstrate: Minimum 10 years' experience in enterprise sales, strategic account management, technology consulting or business development. Proven success selling AI, Digital Transformation, Cloud, Data, Technology Consulting or Enterprise Software solutions. Demonstrable experience advising organisations on AI adoption and digital transformation initiatives. Strong understanding of current AI technologies including: Generative AI Large Language Models (LLMs) AI Agents Machine Learning Intelligent Automation Data Analytics Predictive Analytics Experience working with enterprise and government clients within the UAE or GCC. Strong commercial negotiation and deal structuring experience. Track record of consistently exceeding revenue targets. Technical &amp; Industry Knowledge The ideal candidate will have practical knowledge of: Microsoft Copilot Microsoft Azure AI OpenAI AWS AI Services Google Vertex AI AI governance an</p><p><strong>What Success Looks Like</strong></p><p>Within your first 12 months, you will have:</p><ul><li><p>Built trusted relationships with senior executives across key enterprise accounts.</p></li><li><p>Identified and converted significant AI transformation opportunities.</p></li><li><p>Expanded existing client accounts through consultative engagement.</p></li><li><p>Helped clients implement AI solutions that deliver measurable business outcomes including cost reduction, operational efficiency, improved decision making and competitive advantage.</p></li><li><p>Established yourself as a recognised AI business advisor within the UAE market.</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Center for Interdisciplinary Data Science and AI (CIDSAI) at NYU Abu Dhabi is a cross‑disciplinary hub where mathematicians, computer scientists, engineers, and social scientists join forces to push the boundaries of data‑driven discovery.  Our mission is two‑fold: to advance fundamental theory in probability and machine learning, and to translate those breakthroughs into high‑impact tools that serve the UAE, the wider Arab world, and global society.</p><br><br> <p>We are seeking a Junior Research Scientist to join the team to work under the theme of Computational &amp; Interactive Health under the supervision of Dr. Farah Shamout &amp; Dr. Hanan Salam and in close collaboration with Prof. Nizar Habash. The researcher is expected to have strong machine learning &amp; AI skills and exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. The project has three main objectives: (a) developing robust computational methods for decision-making in health based on clinical use cases of interest, (b) building a tailored health-focused Arabic knowledge interactive language model through the development of benchmark datasets, evaluation frameworks, and specialized LLMs and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces.</p><br><br> <p><strong>Qualifications:</strong></p><br><br> <ul> <li>A master's degree in less than 5 years of research experince in the relevant field or a bachelors degree with any level of experince.</li> <li>Support the research supervisors and team in developing and implementing the research agenda.</li> <li>Conduct high-quality and innovative research primarily focused on Computational &amp; Interactive Health.</li> <li>Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA).</li> <li>Publish research findings in high-impact journals and conferences.</li> <li>Communicate and present research findings at local and international academic gatherings.</li> <li>Create, maintain, and document high-quality research code for reproducibility.</li> <li>Maintain good practice in managing and accessing sensitive medical datasets.</li> <li>Collaborate with other scientists within the NYU Global Network and in Abu Dhabi.</li> </ul> <p>For consideration, applicants need to submit in PDF format:</p><br><br> <ul> <li>Cover letter</li> <li>Curriculum vitae</li> <li>Academic transcript and degree certificate</li> <li>One page summary of research accomplishments and interests</li> <li>At least two letters of reference</li> </ul> <p>Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu or Prof. Hanan Salam at hs4461@nyu.edu.</p><br><br> <p>The appointment will be for one year, with the option to renew further depending on performance. The terms of employment are very competitive and include housing and educational subsidies for children, together with full health insurance and retirement contributions. The UAE does not levy income tax.About NYU Abu Dhabi</p><br><br> <p><strong>About NYUAD:</strong></p><br><br> <p>https://nyuad.nyu.edu/en/</p><br><br> <p>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. </p><br><br> <p>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.</p><br><br> <p>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.</p><br><br> <p><strong>Working for NYUAD</strong></p><br><br> <p>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.</p><br><br> <p>Visit our website for more information on benefits for you and your dependents.</p><br><br> <p>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.</p><br><br> <p>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</p><br><br> <p><strong>Join NYU Abu Dhabi, an exceptional place for exceptional people.</strong></p><br><br> <p>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.</p><br><br> <p>@WorkAtNYUAD</p><br><br><br> </div>

The Center for Interdisciplinary Data Science and AI (CIDSAI) at NYU Abu Dhabi is a cross‑disciplinary hub where mathematicians, computer scientists, engineers, and social scientists join forces to push the boundaries of data‑driven discovery.  Our mission is two‑fold: to advance fundamental theory in probability and machine learning, and to translate those breakthroughs into high‑impact tools that serve the UAE, the wider Arab world, and global society.<br><br>We are seeking a Junior Research Scientist to join the team to work under the theme of Computational & Interactive Health under the supervision of Dr. Farah Shamout & Dr. Hanan Salam and in close collaboration with Prof. Nizar Habash. The researcher is expected to have strong machine learning & AI skills and exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. The project has three main objectives: (a) developing robust computational methods for decision-making in health based on clinical use cases of interest, (b) building a tailored health-focused Arabic knowledge interactive language model through the development of benchmark datasets, evaluation frameworks, and specialized LLMs and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces.<br><br>Qualifications<br><br>A master's degree in less than 5 years of research experince in the relevant field or a bachelors degree with any level of experince. Support the research supervisors and team in developing and implementing the research agenda. Conduct high-quality and innovative research primarily focused on Computational & Interactive Health. Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA). Publish research findings in high-impact journals and conferences. Communicate and present research findings at local and international academic gatherings. Create, maintain, and document high-quality research code for reproducibility. Maintain good practice in managing and accessing sensitive medical datasets. Collaborate with other scientists within the NYU Global Network and in Abu Dhabi.<br><br>For Consideration, Applicants Need To Submit In PDF Format<br><br>Cover letter Curriculum vitae Academic transcript and degree certificate One page summary of research accomplishments and interests At least two letters of reference<br><br>Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu or Prof. Hanan Salam at hs4461@nyu.edu.<br><br>The appointment will be for one year, with the option to renew further depending on performance. The terms of employment are very competitive and include housing and educational subsidies for children, together with full health insurance and retirement contributions. The UAE does not levy income tax. About NYU Abu Dhabi<br><br>About NYUAD<br><br>https://nyuad.nyu.edu/en/<br><br>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.<br><br>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.<br><br>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.<br><br>Working for NYUAD<br><br>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.<br><br>Visit our website for more information on benefits for you and your dependents.<br><br>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.<br><br>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.<br><br>Join NYU Abu Dhabi, an exceptional place for exceptional people.<br><br>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.<br><br>@WorkAtNYUAD<br><br>Equal Employment Opportunity Statement<br><br>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br>NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.<br><br>Sustainability Statement <br><br>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br>POSITION SUMMARY<br>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.<br>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS<br>Education: No high school diploma or G.E.D. equivalent.<br>Related Work Experience: No related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.&nbsp;<br>At more than 100 award-winning properties worldwide, The Ritz-Carlton Ladies and Gentlemen create experiences so exceptional that long after a guest stays with us, the experience stays with them. Attracting the world’s top hospitality professionals who curate lifelong memories, we believe that everyone succeeds when they are empowered to be creative, thoughtful and compassionate. <br>Every day, we set the standard for rare and special luxury service the world over and pride ourselves on delivering excellence in the care and comfort of our guests.<br>Your role will be to ensure that the “Gold Standards” of The Ritz-Carlton are delivered graciously and thoughtfully every day. The Gold Standards are the foundation of The Ritz-Carlton and are what guides us each day to be better than the next. It is this foundation and our belief that our culture drives success by which The Ritz Carlton has earned the reputation as a global brand leader in luxury hospitality. As part of our team, you will learn and exemplify the Gold Standards, such as our Employee Promise, Credo and our Service Values. And our promise to you is that we offer the chance to be proud of the work you do and who you work with.<br>In joining The Ritz-Carlton, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.</span> </div>

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions.<br>Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling.<br>Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies<br>Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.<br>Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices.<br>MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost.<br>AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions.<br>Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers.<br>Required Skills & Qualifications<br>Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions.<br>Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling.<br>Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies<br>Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.<br>Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices.<br>MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost.<br>AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions.<br>Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers.<br>Required Skills & Qualifications<br>Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions.<br>Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling.<br>Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies<br>Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.<br>Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices.<br>MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost.<br>AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions.<br>Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers.<br>Required Skills & Qualifications<br>Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Role: Mathematics Expert (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $40/hour<br>Role Overview:We are hiring for one of our clients, seeking a Mathematics Expert to work on a contract basis. The role involves applying advanced mathematical principles to solve complex problems and optimize algorithms. Candidates will develop models and analyze data to support decision-making in a technical domain.<br>Key Responsibilities:• Develop and refine mathematical models for algorithmic solutions in data analysis.• Apply statistical and computational techniques to interpret and solve business problems.• Collaborate with data scientists and engineers to integrate mathematical frameworks into production systems.• Validate model accuracy and performance through rigorous testing and validation.• Document methodologies, assumptions, and results for stakeholder review.<br>Required Skills & Qualifications:• Expertise in applied mathematics, including linear algebra, calculus, and probability theory.• Proficiency in programming languages such as Python or R for mathematical modeling.• Experience with statistical analysis, machine learning, or optimization techniques.• Ability to translate abstract mathematical concepts into practical solutions.• Strong analytical thinking and problem-solving skills.<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 scalable solutions. The position supports cross-functional teams in building data-driven products.<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!

We are seeking a visionary and hands-on Lead - AI Engineering, Automation & Digital Transformation to drive enterprise-wide AI adoption, intelligent automation, and digital transformation initiatives from strategy through execution. This role demands a seasoned leader with deep expertise in AI/ML engineering, agentic AI, and process automation, with proven experience in transforming business operations and managing high-performing teams. The ideal candidate will work closely with CxO’s office, GM IT and Senior Directors and business teams to embed AI-driven decision-making, operational efficiency, and innovation across the organization.<br><br>Description<br><br> Lead and manage a cross-functional team of AI engineers, automation developers, and digital transformation specialists, fostering technical excellence and collaboration. Architect, implement, and scale AI/ML solutions and agentic AI platforms using Azure Open AI, AWS Bedrock, Databricks, and modern LLM frameworks. Design and deploy intelligent automation solutions (RPA, workflow orchestration, document intelligence) using platforms such as Power Automate, UiPath, and Azure AI services. Build, fine-tune, and operationalize machine learning and Gen AI models - including forecasting, recommendation, NLP, and computer vision use cases - with robust MLOps practices. Drive the digital transformation roadmap: identify high-impact use cases, build business cases, and deliver measurable ROI through AI and automation initiatives. Establish and enforce Responsible AI and governance practices including model documentation, bias monitoring, explainability, security, and access controls. Collaborate with stakeholders to translate business needs into AI-powered solutions, reengineering processes end-to-end rather than automating inefficiencies. Oversee integration of AI agents and copilots into enterprise systems (ERP, CRM, BI platforms), ensuring multi-level data security and governance. Lead automation and AI use cases (e.g., chatbots, AI agents, predictive models, intelligent document processing) to reduce operational effort and cost. Present insights, use-case pipelines, and strategic recommendations to executive leadership including CEO, Chairman, and Directors. <br><br>Qualifications, Experience, & Skills<br><br>Required Experience & Skills:<br><br> 6+ years of hands-on experience across AI/ML engineering, automation, and digital transformation. Proven leadership in managing AI/automation teams and delivering enterprise-scale solutions. Expertise in Python, LLM frameworks (Lang Chain/Lang Graph), Azure Open AI, AWS Bedrock, and API/microservices integration. Strong proficiency in RPA and workflow platforms (Power Automate, UiPath), Azure AI services, and MLOps tooling. Deep understanding of Gen AI, agentic AI architectures, prompt engineering, and model lifecycle management. Strong communication, stakeholder engagement, and program management skills. Experience in use-case discovery, business-case development, and delivering high-impact, ROI-driven solutions. Demonstrated success in scaling AI and automation use cases for operational efficiency, cost reduction, and forecasting. <br><br>Preferred Qualifications<br><br> Bachelor’s or master’s degree in computer science, AI/Data Science, Engineering, or related field. Certifications in Azure AI or AWS ML; RPA (UiPath/Power Platform) certifications are a plus. Experience in FMCG/Food manufacturing industries

<p>Job Summary We are looking for an experienced Steel Fabrication Planning Engineer to manage and coordinate production planning, fabrication scheduling, project planning, material planning, production control, progress monitoring, resource planning, and delivery schedules for structural steel and metal fabrication projects. The ideal candidate should have strong practical knowledge of Primavera P6, MS Project, fabrication planning, production scheduling, baseline programmes, WBS, resource loading, material planning, cutting lists, CNC/NC production, welding, assembly, blasting, painting, inspection, packing, dispatch, erection, and project controls. The candidate will coordinate closely with Engineering, Production, Procurement, QA/QC, Stores, Logistics, Project Management, Site and Erection Teams to ensure fabrication activities are completed according to approved drawings, project schedules, quality requirements, production targets, and delivery milestones.</p><br><p>Key Responsibilities</p><ul><li><p>Develop and maintain detailed <strong>Steel Fabrication Plans, Production Schedules, Fabrication Programmes, and Project Schedules</strong>.</p></li><li><p>Prepare <strong>Master Fabrication Schedule, Detailed Fabrication Schedule, Weekly Production Schedule, Daily Production Plan, and Look-Ahead Production Plan</strong>.</p></li><li><p>Develop and maintain <strong>Baseline Programme / Baseline Schedule</strong> for fabrication and project execution.</p></li><li><p>Prepare project <strong>WBS, activity coding, fabrication sequences, production activities, milestones, logic links, and schedule relationships</strong>.</p></li><li><p>Develop integrated schedules covering <strong>engineering, material procurement, material receipt, cutting, CNC processing, fit-up, welding, assembly, inspection, blasting, painting, coating, packing, loading, transportation, delivery, and site erection</strong>.</p></li><li><p>Plan fabrication activities based on <strong>approved IFC drawings, shop drawings, fabrication drawings, BOQ quantities, material availability, production capacity, project priorities, and delivery requirements</strong>.</p></li><li><p>Coordinate with Engineering to monitor <strong>drawing preparation, drawing approval, IFC drawing release, shop drawing approval, fabrication drawing status, revisions, RFIs, technical queries, and design changes</strong>.</p></li><li><p>Ensure fabrication schedules are based on the <strong>latest approved drawings and material requirements</strong>.</p></li><li><p>Prepare detailed <strong>fabrication sequences and production workflows</strong> for structural steel components.</p></li><li><p>Plan production for <strong>columns, beams, rafters, trusses, bracing, purlins, girts, platforms, staircases, handrails, ladders, pipe racks, canopies, equipment supports, mezzanines, and miscellaneous steel</strong>.</p></li><li><p>Monitor fabrication activities including <strong>material cutting, CNC cutting, drilling, punching, bending, fit-up, welding, assembly, dimensional inspection, grinding, blasting, painting, galvanizing, coating, marking, packing, and dispatch</strong>.</p></li><li><p>Coordinate with Production Supervisors and Workshop Managers to establish <strong>daily and weekly production targets</strong>.</p></li><li><p>Monitor <strong>planned production versus actual production</strong> and identify fabrication delays, bottlenecks, productivity issues, and capacity constraints.</p></li><li><p>Track fabrication quantities based on <strong>tonnage, piece count, assemblies, fabrication hours, weld quantities, and completed components</strong>.</p></li><li><p>Prepare <strong>tonnage-based progress measurement systems</strong> for structural steel fabrication.</p></li><li><p>Monitor <strong>fabrication tonnage, installed tonnage, completed tonnage, balance tonnage, dispatched tonnage, and erection tonnage</strong>.</p></li><li><p>Prepare and maintain <strong>fabrication trackers, tonnage trackers, production dashboards, progress reports, and quantity monitoring sheets</strong>.</p></li><li><p>Prepare <strong>S-Curves, Progress Curves, Planned vs Actual Reports, Productivity Reports, KPI Dashboards, Manpower Histograms, and Management Reports</strong>.</p></li><li><p>Monitor <strong>fabrication productivity, production rates, man-hours, machine utilization, welding productivity, cutting productivity, and workshop capacity</strong>.</p></li><li><p>Identify production bottlenecks related to <strong>material shortages, drawing delays, machine availability, manpower constraints, welding capacity, blasting/painting capacity, inspection hold points, and logistics</strong>.</p></li><li><p>Develop <strong>recovery programmes, catch-up plans, acceleration plans, overtime plans, additional shift plans, and production resequencing</strong> when required.</p></li><li><p>Coordinate fabrication priorities with <strong>project milestones, site erection sequences, delivery dates, and installation requirements</strong>.</p></li><li><p>Develop <strong>material requirement plans</strong> based on fabrication schedules and approved material take-offs.</p></li><li><p>Coordinate with Procurement and Stores regarding <strong>raw material availability, steel plates, sections, profiles, pipes, bolts, welding consumables, paint, coating materials, and other fabrication consumables</strong>.</p></li><li><p>Track <strong>Material Requisitions, Purchase Orders, Material Delivery, Material Receiving, Material Inspection, Stock Availability, and Material Shortages</strong>.</p></li><li><p>Monitor <strong>material cutting plans, nesting plans, cutting lists, material utilization, scrap, wastage, and material consumption</strong>.</p></li><li><p>Coordinate with QA/QC for <strong>MIR, WIR, ITP, inspection points, welding inspection, dimensional inspection, NDT, blasting inspection, painting inspection, coating inspection, and final release</strong>.</p></li><li><p>Track <strong>inspection status, NCRs, rework, repair, punch lists, inspection releases, and quality hold points</strong>.</p></li><li><p>Coordinate with Welding and QA/QC teams regarding <strong>WPS, PQR, WPQ, welding sequences, weld inspection, NDT, visual inspection, MPI, DPI, UT, and radiography</strong> where applicable.</p></li><li><p>Monitor fabrication activities against approved <strong>method statements, project specifications, approved drawings, ITPs, codes, standards, and client requirements</strong>.</p></li><li><p>Coordinate with Logistics for <strong>packing, loading, transportation, delivery sequence, shipping documentation, and site delivery schedules</strong>.</p></li><li><p>Prepare <strong>dispatch schedules</strong> aligned with site erection and installation requirements.</p></li><li><p>Coordinate with Site and Erection Teams to prioritize fabrication based on <strong>erection sequence, work-front availability, site requirements, crane access, and installation priorities</strong>.</p></li><li><p>Track <strong>fabrication-to-erection interfaces</strong> and ensure materials are available ahead of site requirements.</p></li><li><p>Review and monitor <strong>subcontractor fabrication schedules, supplier schedules, painting schedules, galvanizing schedules, and outsourced processing activities</strong>.</p></li><li><p>Monitor subcontractor and workshop performance against <strong>approved production programmes and delivery milestones</strong>.</p></li><li><p>Prepare <strong>Daily Fabrication Reports, Weekly Fabrication Reports, Monthly Progress Reports, Production Reports, Delay Reports, and Forecast Reports</strong>.</p></li><li><p>Participate in <strong>production meetings, project progress meetings, coordination meetings, planning meetings, and management reviews</strong>.</p></li><li><p>Provide accurate fabrication progress data to the <strong>Project Manager, Planning Manager, Project Controls Manager, Production Manager, and Commercial Team</strong>.</p></li><li><p>Assist in identifying <strong>variations, additional works, scope changes, drawing revisions, production impacts, and schedule impacts</strong>.</p></li><li><p>Support delay analysis, schedule impact analysis, recovery planning, and extension-of-time documentation where required.</p></li><li><p>Maintain accurate records of baseline revisions, actual progress, production quantities, delays. </p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications & Experience</strong></p><ul><li><p>Bachelor’s Degree in <strong>Civil Engineering, Mechanical Engineering, Industrial Engineering, Production Engineering, or a related discipline</strong>.</p></li><li><p><strong>3–8 years of experience</strong> in <strong>Steel Fabrication Planning, Production Planning, Project Planning, or Project Controls</strong>.</p></li><li><p>Strong hands-on experience in <strong>structural steel fabrication and workshop production planning</strong>.</p></li><li><p>Experience with <strong>Primavera P6</strong> is highly preferred.</p></li><li><p>Strong understanding of <strong>steel fabrication processes, production sequencing, tonnage tracking, material planning, workshop capacity, and fabrication productivity</strong>.</p></li><li><p>Experience working with <strong>structural steel contractors, fabrication yards, steel workshops, EPC contractors, PEB companies, or metal fabrication companies</strong>.</p></li><li><p>Ability to read and understand <strong>structural drawings, fabrication drawings, erection drawings, IFC drawings, BOQs, MTOs, and project specifications</strong>.</p></li><li><p>Strong knowledge of <strong>Excel, production trackers, fabrication schedules, progress measurement, reporting, and planning tools</strong>.</p></li><li><p>Experience coordinating with <strong>Production, Engineering, Procurement, QA/QC, Stores, Logistics, Site and Erection Teams</strong>.</p></li><li><p>Strong analytical, coordination, reporting, and problem-solving skills.</p></li></ul>

<p><strong><u>Job Summary</u></strong></p><p>The EEG Tech functions as a resource person to physicians and their staff, family members and hospital staff. Prepare patients and performs Electroencephalograms, Ambulatory EEG’s, BAER’s, VEP and other tests within their scope of practice.</p><p><strong><u>Duties &amp; Responsibilities </u></strong></p><ul><li> Functions as a resource person to physicians and their staff, family members and hospital staff</li><li> Prepares patient and performs Electroencephalograms, Ambulatory EEG’s, BAER’s, VEP and other tests within your scope of practice </li><li> Edit and prepare test for reading by a Physician</li><li> Reports findings or concerns to reading physician for prompt interpretation </li><li> Employee will demonstrate customer service in all interaction, that is compassionate, courteous, friendly, non-judgmental and demonstrate a respect for privacy </li><li> Cleans and maintains equipment (EEG machine and accessories) </li><li> Operates IBM computer (Hospital Information System)</li><li> Use specific protocol for patient wires including taking them off and proper cleaning and storage </li><li> Some office responsibilities such as scheduling, filing, computer and telephone skills </li><li> Performs other duties as directed by the Cardiology Supervisor or Chief of Cardiopulmonary, EEG </li><li> Will work 8 hour shifts unless other arrangements are made with the Director</li></ul><p><strong><u>Skills,Experience and Education</u></strong></p><p><strong><u>Qualifications </u></strong></p><ul><li>Experience preferred but will train </li><li>Current AHA CPR for Healthcare Provider or Professional certification required </li><li>Graduate of a two year Cardiovascular program or equivalent combination of training is preferred </li><li>Certification of registration by a National Certifying Cardio-Vascular Agency is desirable</li><li>Must be able to communicate with and perform tests on patients of all ages, pediatric to adult and staff </li><li>Two years experience is preferred</li></ul><p><br></p><p><br></p>

Additional Information<br><br>Job Number 26097363<br><br>Job Category Administrative<br><br>Location Abu Dhabi National Exhibition Centre, Al Khaleej Al Arabi Street, Abu Dhabi, United Arab Emirates, United Arab Emirates,VIEW ON MAP<br><br>Schedule Full Time<br><br>Located Remotely? N<br><br>Position Type Non-Management<br><br>Position Summary<br><br>Serve as the point of contact for clients and communicate with them by phone and email to respond to questions and requests. Enter and retrieve information contained in computer databases using a keyboard, mouse, or trackball to update records, files, reservations, and answer inquiries from guests. Operate standard office equipment other than computers. Prepare letters, memos, and other documents using word processing, spreadsheet, database, or presentation software. Transmit information or documents using a computer, mail, or facsimile machine, including proofreading and editing written information to ensure accuracy and completeness. Enter and locate work-related information using computers and/or point of sale systems.<br><br>Follow all company policies and procedures, ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Speak with others using clear and professional language, prepare and review written documents accurately and completely, and answer telephones using appropriate etiquette. Develop and maintain positive working relationships with other employees and departments, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Report accidents, injuries, and unsafe work conditions to manager. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.<br><br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.<br><br>알로프트는 결코 평범하지 않습니다. 그러나 지나치게 유행을 따르지도 않습니다. 우리가 알로프트에서 가장 중요시하는 건 고객과의 소통입니다. 반려견을 데리고 산책을 나갔다가 한 잔 하러 돌아오는 고객이나 동료와의 회의를 마무리하는 고객, 가족 또는 친구와 좋아하는 밴드 공연을 보기 위해 방문한 고객 등 알로프트를 찾은 고객 모두에게 지인들과 오붓하게 시간을 보낼 수 있도록 하는 것은 물론 주변 지역을 충분히 경험하고 문화를 즐기도록 하여 현지를 체험하는 소통의 중심지 역할을 수행합니다. 우리는 틀에 박힌 선 밖으로 발을 내딛는 것을 두려워하지 않으며, 자기 표현을 주저하지 않는, 자신감 충만한 인재를 찾고 있습니다. 다른 이들과 소통할 일에 가슴 벅차오르는 분이라면, 알로프트 호텔을 선택하시기 바랍니다. 알로프트 호텔에 입사하면 메리어트 인터내셔널의 브랜드 포트폴리오에 합류하게 됩니다 . 최선 을 다해 일하고, 목표를 향해 달리며, 훌륭한 글로벌 팀 의 일원으로 최고의 나를 만들고 싶다면 알로프트의 문을 두드리세요.

Position: Senior AI Engineer Compensation: Offering a competitive salary plus family benefits & variable Location: Dubai or Abu Dhabi <br>Overview<br>Gateworth Group is currently assisting a Technology Consultancy in the UAE looking hire Senior AI Engineers for either its Dubai or Abu Dhabi branch. The client is looking to hire the top AI Engineers and will consider candidates who are looking to relocate. Our client has multiple vacancies and is working on some very interesting projects, looking to innovate across multiple sectors. This AI Engineer will assist with building advanced AI systems that sit at the intersection of research, engineering, and real‑world problem‑solving. This role is for someone who thrives in highly technical environments and can design, experiment, and deploy sophisticated LLM‑driven architectures. You’ll work across model development, multi‑agent system design, retrieval pipelines, and multimodal applications, contributing to platforms that support both operational and investment‑focused use cases. This is a hands‑on role for a scientist who understands modern AI from first principles and can translate cutting‑edge methods into production‑ready systems.<br><br>Main Responsibilities<br>• Architect and implement advanced LLM‑powered systems, including multi‑agent frameworks, retrieval‑enhanced pipelines, and multimodal models.• Lead end‑to‑end development of AI initiatives, from data preparation and model training to evaluation, optimisation, and deployment.• Conduct deep research into emerging AI techniques, staying ahead of developments in model architectures, training strategies, and agent‑based systems.• Build and refine prompt, tool‑use, and orchestration strategies to maximise model reliability and performance.• Collaborate with product, engineering, and domain specialists to design AI solutions tailored to complex operational and investment workflows.• Analyse system behaviour, identify performance bottlenecks, and drive continuous improvement across models, agents, and pipelines.• Contribute to internal research, experimentation, and benchmarking efforts to establish best‑in‑class AI practices.<br>Qualifications<br>• Extensive experience developing, fine‑tuning, and deploying LLMs for advanced, high‑impact applications.• Strong understanding of core AI building blocks: model internals, training dynamics, optimisation methods, data pipelines, and evaluation frameworks.• Proven ability to design and implement multi‑agent systems, including planning loops, tool‑use orchestration, memory systems, and agent collaboration.• Proficiency with modern AI frameworks such as PyTorch, Tensor Flow, JAX, and Hugging Face Transformers.• Experience with retrieval systems, vector databases, and domain‑specific RAG architectures.• Background in multimodal model development (text, vision, audio, structured data).• Track record of delivering complex AI projects, ideally with contributions to research, open‑source work, or competitive benchmarks.• Strong communication skills and the ability to work effectively with cross‑functional teams in fast‑moving environments.• Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related field is preferred.<br><br>Apply<br>Applicants meeting this criterion and looking for a progressive and challenging opportunity should submit an application via the apply link. If you have any further questions, you can reach out to apply@gateworth.com, quoting the GWG reference - #3654

Position: Senior AI Engineer Compensation: Offering a competitive salary plus family benefits & variable Location: Dubai or Abu Dhabi <br>Overview<br>Gateworth Group is currently assisting a Technology Consultancy in the UAE looking hire Senior AI Engineers for either its Dubai or Abu Dhabi branch. The client is looking to hire the top AI Engineers and will consider candidates who are looking to relocate. Our client has multiple vacancies and is working on some very interesting projects, looking to innovate across multiple sectors. This AI Engineer will assist with building advanced AI systems that sit at the intersection of research, engineering, and real‑world problem‑solving. This role is for someone who thrives in highly technical environments and can design, experiment, and deploy sophisticated LLM‑driven architectures. You’ll work across model development, multi‑agent system design, retrieval pipelines, and multimodal applications, contributing to platforms that support both operational and investment‑focused use cases. This is a hands‑on role for a scientist who understands modern AI from first principles and can translate cutting‑edge methods into production‑ready systems.<br><br>Main Responsibilities<br>• Architect and implement advanced LLM‑powered systems, including multi‑agent frameworks, retrieval‑enhanced pipelines, and multimodal models.• Lead end‑to‑end development of AI initiatives, from data preparation and model training to evaluation, optimisation, and deployment.• Conduct deep research into emerging AI techniques, staying ahead of developments in model architectures, training strategies, and agent‑based systems.• Build and refine prompt, tool‑use, and orchestration strategies to maximise model reliability and performance.• Collaborate with product, engineering, and domain specialists to design AI solutions tailored to complex operational and investment workflows.• Analyse system behaviour, identify performance bottlenecks, and drive continuous improvement across models, agents, and pipelines.• Contribute to internal research, experimentation, and benchmarking efforts to establish best‑in‑class AI practices.<br>Qualifications<br>• Extensive experience developing, fine‑tuning, and deploying LLMs for advanced, high‑impact applications.• Strong understanding of core AI building blocks: model internals, training dynamics, optimisation methods, data pipelines, and evaluation frameworks.• Proven ability to design and implement multi‑agent systems, including planning loops, tool‑use orchestration, memory systems, and agent collaboration.• Proficiency with modern AI frameworks such as PyTorch, Tensor Flow, JAX, and Hugging Face Transformers.• Experience with retrieval systems, vector databases, and domain‑specific RAG architectures.• Background in multimodal model development (text, vision, audio, structured data).• Track record of delivering complex AI projects, ideally with contributions to research, open‑source work, or competitive benchmarks.• Strong communication skills and the ability to work effectively with cross‑functional teams in fast‑moving environments.• Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related field is preferred.<br><br>Apply<br>Applicants meeting this criterion and looking for a progressive and challenging opportunity should submit an application via the apply link. If you have any further questions, you can reach out to apply@gateworth.com, quoting the GWG reference - #3654

POSITION OBJECTIVE<br><br> The position is responsible for generating sales and deliver customer service at its best. Support the other operational duties such as housekeeping, visual presentation standards, etc. as assigned by the Store Management Team.<br><br>Key Responsibilities<br><br>Hospitality And Guest Service<br><br> Provides important visual cues for guests that make a positive first impression E.g. wearing proper career wear that is clean and neatly pressed, maintaining a clean parking lot/exterior and a clean and inviting dining room. Follows the guaranteed Always Fresh procedure to ensure coffee and products are always fresh and always accurate. Delivers consistent and outstanding guest service through friendly attitude, attentive behavior and strong product knowledge. Enhances the guest experience by following the S. E. T. Principles: Smile, Eye Contact, Thank You. Uses proper procedures to ensure the accuracy of every order for every guest. Ensures every guest receives a prompt and warm greeting within 5 seconds at front counter and drive-thru. Maintains speed of service targets by working efficiently with a sense of urgency to fill orders and meet guests’ needs. Promptly executes service recovery for any guest concerns or complaints by making it right with the guest, regardless of involvement in the issue. Listens carefully to guests and apologizes for the experience in the case of a complaint.<br><br>Store Operations<br><br> Follows all Operations standards and guidelines for preparation of products according to training and instructional materials provided. Prepares all products as required, following the order monitor to ensure the accuracy of every order. Communicates showcase and product needs to ensure proper product availability for guests. Regularly takes temperatures of the required products and records in the Time & Temperature Log.<br><br>Policies And Procedures<br><br> Participates in and attends all store meetings and other related functions. Follows all restaurant policies, procedures and standards. Maintains the front counter by keeping it clean, organized, stocked and ready for rush periods in the restaurant. Follows proper hand washing techniques and all sanitation guidelines; completes all sanitation tasks as outlined by the Store Manager.<br><br>Cashiering<br><br> Receives payment by cash, credit cards, vouchers or automatic debits. Issue receipts, refunds, or change to the customers correctly. Count money in the cash till at the beginning of the shifts to ensure that amount is correct and there is adequate change. Maintain clean and orderly checkout areas.<br><br>Health & Safety<br><br> Works in compliance with occupational health and safety legislation. Knows, understands and follows safe work practices and procedures. Uses or wears personal protective equipment or clothing as required. Reports all injuries/illnesses, accidents, unsafe conditions, security incidents and any contravention of health and safety legislation, policies and procedures to the Restaurant Manager or Restaurant Owner. Does not operate any equipment, machine, device or thing, or otherwise work in a manner that will endanger anyone.

POSITION OBJECTIVE The Shift Supervisor position is operational in nature and involves the supervision of team member activities on shift to ensure that standards around people, product, cleanliness, and Exceptional Guest Experience are fulfilled.<br><br>Key Responsibilities<br><br>People Management<br><br> Leads by example and demonstrates the importance of treating every team member and guest with respect Reacts immediately to issues requiring attention during the shift Provides ongoing, specific direction to team members Encourages an exciting and fun work environment while motivating team members to meet goals Trains, orientates and monitors new team members Reports to Store Manager on team member performance (positive or negative) Assists in ensuring optimal team member coverage at all times and works various positions during busy periods to maintain optimal service levels through demonstrated floor leadership Hospitality Management Leads by example to demonstrate that the guest is top priority and reinforces positive hospitality behaviors with team members Responds to guest in a friendly manner while maintaining an appropriate sense of urgency Responds to guest service complaints in a timely manner, resolving problems and turning potentially negative situations into positive situations Operations Management Complies with and enforces all Tim Hortons operating standards Ensures that all product and packaging is properly merchandised and stocked Responsible for shift cash procedures Maintains operational efficiency through use of the work schedule Supervises team members to ensure primary and secondary duties are completed Ensures all store policies are followed during the shift (e.g. cash policies, meal and break policies, food safety policies) Keeps current on all new information (i.e., new product launched, promos and discount schemes) Assists the Store Manager in driving sales and transactions during their shift Completes all required shift documentation (e.g. records waste, mgr. walk thru, store checklist etc.) Escalates to immediate superior any issues and or problems Health & Safety Knows, understands and follows safe work practices and procedures Uses or wears personal protective equipment or clothing as required Reports all injuries/illness, accidents, unsafe conditions, security incidents and any contravention of health and safety legislation, policies and procedures to the Store Manager or Area Manager Does not operate any equipment, machine, device or thing, or otherwise work in a manner that will endanger anyone Ensures health and safety policies are followed during the shift including documentation and reporting of any work related injuries or accidents Cashiering Supervises and ensures that technical equipment in the stores are in working condition. Count money in the cash till at the beginning of the shifts to ensure that amount is correct and there is adequate change. Receives payment by cash, credit cards, vouchers or automatic debits whenever required Issues receipts, refunds, or change to the customers correctly whenever required Maintains clean & orderly checkout areas

Candidate Profile The Entrepreneur in Residence (EIR) should combine founder capability, technical depth, and commercial judgment. The role is intended for entrepreneurs capable of building venture-scale companies in Physical AI rather than managing mature businesses.<br>Essential Requirements Previous founder, co-founder, or senior leadership experience in a technology startup. Demonstrated experience in robotics, including industrial, service, autonomous, or mobile robotics. Strong expertise in computer vision, including perception systems, object detection, tracking, inspection, navigation, or visual AI applications. Practical experience applying AI and machine learning to real-world physical systems. Experience taking products from concept to commercialization. Strong customer discovery and product-market validation capability. Ability to recruit, lead, and motivate high-performing technical teams. Experience working with multidisciplinary hardware and software engineering teams. Strong commercial judgment and venture-building mindset.<br>Preferred Experience One or more of the following:Physical AIAutonomous systems Edge AISensor fusion SLAM and localization Robotics simulation and digital twins Industrial automation Manufacturing technology Warehouse automation Drone or aerial robotics Medical robotics Human-robot interaction Venture capital, venture studio, or deep-tech startup experience Seed or Series A fundraising<br>Personal Attributes Founder mentality with a strong bias for execution. Comfortable operating under uncertainty. Evidence-based decision maker. Highly resourceful and capital efficient. Strong systems thinker with commercial instincts. Able to bridge engineering, research, and business. Motivated by long-term ownership and value creation.<br>Compensation The Entrepreneur in Residence is engaged to create long-term shareholder value. Accordingly, compensation is primarily equity-based and aligned with the successful creation and scaling of new ventures.<br>Base Compensation No fixed salary. Mojay holding may provide a modest monthly stipend and reimburse approved business expenses during the incubation period.<br>Venture Equity For each venture approved and funded by Mojay, the EIR will be eligible to receive founder equity of up to 20%, subject to:Four-year vesting. One-year cliff. Monthly vesting thereafter. Continued active involvement. Future dilution through fundraising. The final equity allocation will depend on:Quality of the opportunity. Technical and commercial contribution. Capital invested by Mojay. Stage of the venture. Presence of additional founders or key executives.<br>Performance-Based Equity Additional equity may be awarded at Mojay’s discretion upon achieving significant milestones, including:Successful customer validation. MVP completion. First commercial revenue. Strategic partnerships. External funding. Material enterprise value creation.<br>Liquidity The EIR participates in the economic upside of vested equity upon an acquisition, IPO, secondary sale, or other approved liquidity event.<br>Governance All equity awards are subject to:Good Leaver and Bad Leaver provisions. Intellectual property assignment. Confidentiality obligations. Restrictive covenants. Mojay’s shareholder and equity incentive agreements. The objective is to align the EIR’s rewards directly with long-term shareholder value creation rather than fixed compensation.

Group Head – AI & Data Transformation<br>Job Purpose<br>The Group Head – AI & Data Transformation is responsible for leading the organization's enterprise-wide AI, digital, and data transformation strategy. The role focuses on leveraging artificial intelligence, automation, analytics, and data governance to improve operational efficiency, customer experience, decision-making, and business growth across all group companies.<br>Key Responsibilities<br>AI Strategy & Innovation<br>- Develop and execute the Group AI and Data Transformation roadmap.- Identify opportunities to implement AI across all business divisions.- Evaluate emerging AI technologies and recommend adoption strategies.- Build an innovation culture that embraces digital transformation.<br>Data Strategy & Governance<br>- Develop enterprise-wide data governance policies and standards.- Establish data quality, security, privacy, and compliance frameworks.- Create a centralized data architecture supporting all business units.- Define KPIs and executive dashboards for business performance.<br>Business Transformation<br>- Lead digital transformation initiatives across retail, distribution, FMCG, hospitality, real estate, and corporate functions.- Redesign business processes using AI and automation.- Identify cost optimization opportunities through intelligent automation.- Drive enterprise-wide digital adoption.<br>AI Applications<br>- Implement predictive analytics and forecasting models.- Introduce AI-powered customer service solutions.- Deploy demand forecasting and inventory optimization tools.- Implement pricing optimization and recommendation engines.- Utilize AI for HR analytics, recruitment, workforce planning, and employee engagement.- Drive finance automation including reporting and fraud detection.<br>Technology Leadership<br>- Collaborate with IT teams on cloud, data platforms, and AI infrastructure.- Evaluate AI vendors and technology partners.- Ensure cybersecurity and responsible AI practices.- Lead implementation of enterprise AI platforms.<br>Change Management<br>- Promote AI awareness and digital literacy across the organization.- Conduct executive workshops and user training.- Drive adoption through structured change management programs.<br>Leadership<br>- Build and lead a high-performing AI, analytics, and data team.- Manage budgets, vendor relationships, and transformation projects.- Report progress regularly to executive leadership and the Board.<br>Key Performance Indicators (KPIs)<br>- AI adoption across business units.- Cost savings through automation.- Productivity improvements.- Increase in revenue attributable to AI initiatives.- Reduction in manual processes.- Data quality and governance compliance.- User adoption rates.- Project delivery within budget and timeline.- Business process automation percentage.- Customer experience improvement metrics.- ROI on AI investments.- Employee digital capability improvement.<br>Qualifications<br>- Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Engineering, or Business Administration.- AI, Data Analytics, or Cloud certifications are preferred.<br>Experience<br>- 12–18 years of experience in digital transformation, AI, analytics, or enterprise technology.- At least 5 years in a senior leadership role.- Experience managing enterprise-wide transformation programs.- Exposure to retail, distribution, FMCG, hospitality, or real estate sectors is highly desirable.<br>Technical Skills<br>- Artificial Intelligence and Machine Learning- Generative AI platforms- Data Analytics and Business Intelligence- Data Warehousing and Data Governance- Cloud Platforms (AWS, Azure, Google Cloud)- Microsoft Power BI / Tableau- ERP systems (SAP, Oracle, Microsoft Dynamics)- Process Automation (RPA)- SQL and data management tech

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><strong>About</strong></span><span><strong> Calo</strong></span><p><span><strong>Launched in November of 2019, Calo is on a mission to make healthy easy. We’re a team of dedicated people driving this mission by providing better, faster, and cheaper ways to access food through technology.</strong></span></p><br><br><span><strong>Role Overview</strong></span><p><span><strong>We’re looking for a Kitchen Steward who’s passionate about maintaining a clean and safe working environment at all times to join our production team in Dubai.</strong></span></p><br><br><span><strong>Main Responsibilities</strong></span><ul><li><p><span><strong>Clean and sanitize kitchen equipment, utensils, dishes, and work areas.</strong></span></p><br><br></li><li><p><span><strong>Wash pots, pans, plates, glasses, and cutlery using manual or machine methods.</strong></span></p><br><br></li><li><p><span><strong>Maintain cleanliness of floors, walls, storage rooms, and waste disposal areas.</strong></span></p><br><br></li><li><p><span><strong>Assist kitchen staff with basic food preparation and stock handling when required.</strong></span></p><br><br></li><li><p><span><strong>Ensure proper storage of cleaning chemicals and supplies.</strong></span></p><br><br></li><li><p><span><strong>Follow food safety, hygiene, and workplace safety regulations.</strong></span></p><br><br></li><li><p><span><strong>Report maintenance issues or damaged equipment to supervisors.</strong></span></p><br><br></li><li><p><span><strong>Support kitchen operations during busy periods.</strong></span></p><br><br></li></ul><span><strong>Ideal candidate</strong></span><span><strong>Qualifications:</strong></span><ul><li><p><span><strong>Previous experience as a kitchen steward or in a similar role</strong></span></p><br><br></li><li><p><span><strong>Experience working in kitchens, restaurants, or food production environments.</strong></span></p><br><br></li><li><p><span><strong>Basic knowledge of hygiene, sanitation, and food safety standards (HACCP is an advantage).</strong></span></p><br><br></li><li><p><span><strong>Familiarity with cleaning equipment and dishwashing machines.</strong></span></p><br><br></li><li><p><span><strong>Must be currently based in Dubai</strong></span></p><br><br></li></ul><span><strong>Knowledge &amp; Competency</strong></span><ul><li><p><span><strong>Good understanding of kitchen hygiene and cleaning procedures.</strong></span></p><br><br></li><li><p><span><strong>Knowledge of safe handling and storage of cleaning chemicals.</strong></span></p><br><br></li><li><p><span><strong>Ability to maintain cleanliness of kitchen areas, equipment, and utensils.</strong></span></p><br><br></li><li><p><span><strong>Team player with good organizational and time management skills.</strong></span></p><br><br></li><li><p><span><strong>Able to follow instructions and maintain safety standards.</strong></span></p><br><br></li></ul><span><strong>Personality</strong></span><ul><li><p><span><strong>Reliable, punctual, and hardworking.</strong></span></p><br><br></li><li><p><span><strong>Positive attitude and willingness to learn.</strong></span></p><br><br></li><li><p><span><strong>Good communication and teamwork skills.</strong></span></p><br><br></li><li><p><span><strong>Able to work efficiently in a fast-paced environment.</strong></span></p><br><br></li><li><p><span><strong>Attention to detail and commitment to cleanliness.</strong></span></p><br><br></li></ul><br> <br><br> </div>