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>

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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our main emphasis, but candidates with prior experience on Aerial or Ground Systems are not excluded.</p><br><br> <p>We are seeking two (2) Post-Doctoral associates to join our expanding team and make significant contributions to the field. The researchers are expected to have (i) strong engineering skills to find innovative and cost-effective means to improve our research, and (ii) exemplary passion and motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include:</p><br><br> <ul> <li>Robot modelling,</li> <li>Nonlinear and Optimal control,</li> <li>Reinforcement learning, and</li> <li>Data-driven modeling and control.</li> </ul> <p>The Post-Doctoral associates will be based at NYU Abu Dhabi and will directly report to Prof. K.J.Kyriakopoulos, in close collaboration with other researchers, PhD students, and undergraduate research assistants. The Post-Doctoral associates will engage with our regular collaborators at local institutions in the UAE and abroad.</p><br><br> <p><strong>Key responsibilities</strong></p><br><br> <ul> <li>Conduct high-quality and innovative research primarily focused on Control theory and ML methodologies for Field Robotics;</li> <li>Support the supervisor in developing and implementing the research agenda;</li> <li>Reproduce results of the state-of-the-art (SOTA) methods;</li> <li>Design and develop experimental facilities to allow implementing experiments on real platforms operating indoors and outdoors, to compare our proposed work with SOTA baselines;</li> <li>Contribute to the preparation of manuscripts for publication in high-impact journals and conferences;</li> <li>Create, maintain, and document high-quality research code for reproducibility; and</li> <li>Collaborate with scientists within the NYU Global Network and in Abu Dhabi.</li> </ul> <p><strong>Minimum Qualifications</strong></p><br><br> <ul> <li>Possessing a Doctoral degree from a recognized institution in Electrical, Mechanical, Computer, Naval or Aerospace Engineering.</li> <li>Is less than 5 years post receiving the Doctoral degree.</li> <li>First-author peer-reviewed published papers (and/or under review).</li> <li>Demonstrable research experience involving integration of hardware and software of robotic systems.</li> <li>Demonstrable research experience in conducting experiments for Field Robotic Systems.</li> <li>Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice.</li> <li>Experience in maintaining high-quality code on Github.</li> <li>Ability to visualize experimental results.</li> <li>Effective inter-personal and team-building skills.</li> <li>Self-motivated with an ability to work independently and in a team to get the work done.</li> <li>Excellent communication skills (oral and written communication).</li> <li>Willingness to learn and confront new challenges.</li> </ul> <p>The appointments will be for two (2) years with the option to renew further, depending on performance. The terms of employment are very competitive and will include housing and travel subsidies. Applications will be accepted immediately and candidates will be considered until the positions are filled. These positions are not located in the United States. Candidates must be willing to relocate to Abu Dhabi, United Arab Emirates.</p><br><br> <p>To be considered, all applicants must submit a cover letter, up-to-date CV, research statement (1-page), a transcript or degree, and at least two letters of recommendation, all in PDF format on or before July 1, 2026. If you have any questions that are not answered in the job advert, please email: kk4812@nyu.edu and include [Application for postdoctoral researcher] in the subject line.</p><br><br> <p><strong>About NYU Abu Dhabi</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. 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>

Company Description Suadeo is a French software company founded in 2004 that specializes in a Self BI Platform empowering users to manage and analyze their data autonomously. Its flagship product, Suadeo Designer®, combines Data Governance and Data Visualization to help non-IT users build multidimensional analyses, dashboards, and reports. The platform supports real-time data governance, full data lineage and auditability, end-to-end security, and Big Data-oriented architecture. Suadeo provides access to a full range of BI tools and is designed to integrate seamlessly into any information system. Headquartered in Ivry-sur-Seine, France, with a presence in Switzerland and Dubai, Suadeo serves public and private sector clients in France and internationally.<br>Role Description<br>We are looking for an exceptional Senior Technical Lead (. NET) to join our growing engineering team. This is not a traditional Senior Software Engineer position. We are seeking a highly experienced technical leader who can architect complex enterprise solutions, drive critical technical decisions, mentor engineers, and help shape the future of our technology platform. If you're passionate about building scalable cloud-native applications, solving complex engineering challenges, and raising the technical standards of an organization, we'd like to hear from you.<br>Main Responsibilities Lead the architecture, design and implementation of enterprise-grade software solutions using . NETDrive key technical decisions and establish engineering best practices. Design scalable, secure, and high-performance distributed systems. Build modern cloud-native applications using the latest . NET technologies. Architect and implement microservices architectures, RESTful APIs and distributed systems. Review code, mentor developers, and promote engineering excellence. Ensure software quality through Clean Architecture, SOLID principles, design patterns, code reviews, and automated testing. Collaborate with Product, QA, Dev Ops, and business stakeholders to deliver successful solutions. Take ownership of complex technical projects from solution design through production deployment. Drive engineering best practices, CI/CD adoption, and continuous improvement initiatives.<br>Required Skills & Experience7+ years of professional software development experience. Expert-level proficiency in . NET 10 / C#. Extensive experience with ASP. NET Core and Entity Framework Core and SQL Server Strong expertise in:Microservices Architecture REST APIsDistributed Systems Cloud-native application development Docker & Kubernetes Microsoft Azure and/or AWSDeep understanding of:Clean Architecture SOLID Principles Design Patterns Domain-Driven Design (DDD) Automated Testing and Quality Assurance Code Reviews CI/CD pipelines Performance optimization, scalability, and application security Strong knowledge of software security, scalability, performance optimization, and reliability. Experience leading technical teams and mentoring software engineers. Proven ability to make architectural decisions and drive complex technical projects.<br>Nice to Have Experience in any of the following would be a strong advantage:· Experience with Artificial Intelligence (AI) and AI-powered solutions.· Experience building Saa S products or multi-tenant platforms.· Knowledge of data platforms, analytics, or machine learning integrations.· Experience with event-driven architecture and messaging technologies (Kafka, Rabbit MQ, Azure Service Bus, etc.).· Familiarity with Infrastructure as Code (Terraform, Bicep, ARM).· Experience working in Agile environments and Dev Ops practices.· Microsoft Azure or AWS certifications.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for a Social Media Stategist for one of prestigious client House of Spells.</p><p><b>About House of Spells </b></p><p>House of Spells is Earth's Multi-Fandom Universe — a global experiential retail brand spanning Marvel, Star Wars, DC, Anime, gaming, and fantasy. We operate in the UK, are launching a flagship store in New York City's Times Square, and expanding into Malaysia, with our global marketing headquarters based right here in Dubai. This is not a corporate machine — it's a lean, fast-scaling startup environment where everyone wears multiple hats and no two days look the same.</p><p><b>The Role</b></p><p>We're hiring a Marketing &amp; Administrative Assistant to join our Dubai HQ as an entry-level team member. This is a 360-degree role — you won't sit in a single lane. One moment you're scheduling social media content, the next you're on a call with a partner in New York, and the next you're coordinating a shipment or preparing a briefing document.</p><p>This role is built for someone early in their career who wants real exposure to international marketing, business development, and operations — not someone looking for a quiet desk job.</p><p>Important: This is not a standard 9-to-5 position. Our teams operate across the US, UK, India, and UAE, which means urgent tasks can land at any hour. We need someone who is genuinely available and responsive — including evenings, weekends, and occasionally holidays when something critical comes up. Overtime and additional hours are fully compensated, but what matters most to us is availability, reliability, and trust. If you thrive in a "whatever it takes" environment, keep reading.</p><p><b>What You'll Do Day-to-Day</b></p><p><b>Social Media Marketing &amp; Content</b></p><ul><li><b>⁠ ⁠</b>P</li></ul></div>

Additional Information<br><br>Job Number 26075257<br><br>Job Category Food and Beverage & Culinary<br><br>Location Al Muntazah Street, Sharjah, United Arab Emirates, United Arab Emirates, 79797VIEW ON MAP<br><br>Schedule Full Time<br><br>Located Remotely? N<br><br>Position Type Non-Management<br><br>Position Summary<br><br>Operate and maintain cleaning equipment and tools, including the dish washing machine, hand wash stations pot-scrubbing station, and trash compactor. Wash and disinfect kitchen and store room areas, tables, tools, knives, and equipment. Receive deliveries, store perishables properly, and rotate stock. Ensure clean wares are stored in appropriate areas. Use detergent, rinsing, and sanitizing chemicals in the 3-compartment sink to clean dishes. Inspect, pull, and stack cleaned items, send soiled items back for re-scrubbing and re-washing. Rack and spray all racked items with hot water to loosen and remove food residue. Sort, soak, and wash/re-wash silverware. Breakdown dirty bus tubs. Empty and maintain trashcans and dumpster area. Clean and mop all areas in assigned departments. Dispose of glass in the proper containers. Break down cardboard boxes and place them and other recyclables in the recycle bin.<br><br>Follow all company and safety and security policies and procedures; report maintenance needs, accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Protect company assets. Speak with others using clear and professional language. Develop and maintain positive working relationships with others; support team to reach common goals. Ensure adherence to quality expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance. Stand, sit, or walk for an extended period of time. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br><br>Preferred Qualifications<br><br>Education: No high school diploma or G. E. D. equivalent.<br><br>Related Work Experience: No related work experience.<br><br>Supervisory Experience: No supervisory experience.<br><br>License or Certification: None<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>When you join the Sheraton family, you become a member of its global community. We’ve been a place to gather and connect since 1937. At Sheraton, associates create a sense of belonging in more than 400 communities around the world. We invite, we welcome, and we connect guests through engaging experiences and thoughtful service. If you’re a team player who is excited to deliver a meaningful guest experience, we encourage you to explore your next career opportunity with Sheraton. Join us on our mission to be ‘The World’s Gathering Place’. In joining Sheraton Hotels & Resorts, 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.

Additional Information<br><br>Job Number 26075257<br><br>Job Category Food and Beverage & Culinary<br><br>Location Al Muntazah Street, Sharjah, United Arab Emirates, United Arab Emirates, 79797VIEW ON MAP<br><br>Schedule Full Time<br><br>Located Remotely? N<br><br>Position Type Non-Management<br><br>Position Summary<br><br>Operate and maintain cleaning equipment and tools, including the dish washing machine, hand wash stations pot-scrubbing station, and trash compactor. Wash and disinfect kitchen and store room areas, tables, tools, knives, and equipment. Receive deliveries, store perishables properly, and rotate stock. Ensure clean wares are stored in appropriate areas. Use detergent, rinsing, and sanitizing chemicals in the 3-compartment sink to clean dishes. Inspect, pull, and stack cleaned items, send soiled items back for re-scrubbing and re-washing. Rack and spray all racked items with hot water to loosen and remove food residue. Sort, soak, and wash/re-wash silverware. Breakdown dirty bus tubs. Empty and maintain trashcans and dumpster area. Clean and mop all areas in assigned departments. Dispose of glass in the proper containers. Break down cardboard boxes and place them and other recyclables in the recycle bin.<br><br>Follow all company and safety and security policies and procedures; report maintenance needs, accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Protect company assets. Speak with others using clear and professional language. Develop and maintain positive working relationships with others; support team to reach common goals. Ensure adherence to quality expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance. Stand, sit, or walk for an extended period of time. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br><br>Preferred Qualifications<br><br>Education: No high school diploma or G. E. D. equivalent.<br><br>Related Work Experience: No related work experience.<br><br>Supervisory Experience: No supervisory experience.<br><br>License or Certification: None<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>When you join the Sheraton family, you become a member of its global community. We’ve been a place to gather and connect since 1937. At Sheraton, associates create a sense of belonging in more than 400 communities around the world. We invite, we welcome, and we connect guests through engaging experiences and thoughtful service. If you’re a team player who is excited to deliver a meaningful guest experience, we encourage you to explore your next career opportunity with Sheraton. Join us on our mission to be ‘The World’s Gathering Place’. In joining Sheraton Hotels & Resorts, 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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a highly analytical and client-focused Business Analyst to support the successful delivery of AI-driven solutions.<br> Reporting to the Director – Customer Success, you will work closely with clients and internal teams to gather requirements, analyze business processes, generate insights, and ensure solutions align with customer objectives.<br> You will play a key role in enhancing delivery quality, improving customer satisfaction, and driving operational excellence.<br> An open, diverse, and inclusive environment that encourages innovation and personal growth.<br> Structured learning and development opportunities.<br> Exposure to cutting-edge AI and high-impact projects.<br> Hybrid work policy providing flexibility between office and home.<br> Competitive compensation package with healthcare, education support, leave benefits, and additional perks.<br> If you can confidently demonstrate that you meet the above criteria, we would love to hear from you.<br> Client Requirements Gathering &amp; Analysis Engage with clients to understand business objectives, challenges, and requirements.<br> Translate business needs into clear functional requirements, workflows, and specifications.<br> Document use cases, requirements, and deliverables throughout the project lifecycle.<br> Data Analysis &amp; Reporting Analyze operational and client data to identify trends, performance gaps, and opportunities for improvement.<br> Generate actionable insights to enhance delivery processes and customer engagement.<br> Develop reports, dashboards, and visualizations using tools such as Excel, Power BI, or Tableau.<br> Process Improvement &amp; Optimization Identify and implement process improvements to enhance efficiency, quality, and client satisfaction.<br> Collaborate with cross-functional teams to streamline and standardize delivery processes.<br> Support the implementation of best practices in project management, documentation, and communication.<br> Stakeholder Management &amp; Collaboration Act as a liaison between client-facing and technical teams to ensure alignment on requirements and delivery timelines.<br> Work closely with Product, Engineering, and Customer Success teams to ensure successful solution delivery.<br> Facilitate workshops, meetings, and training sessions while documenting outcomes and feedback.<br> Requirements Bachelor’s degree in Business, Computer Science, Finance, or a related field.<br> Minimum 3 years of experience as a Business Analyst or in a similar role within a technology-driven environment.<br> Strong experience in Procurement and/or ERP implementation projects.<br> Strong analytical and problem-solving skills with the ability to translate business requirements into actionable solutions.<br> Excellent written and verbal communication skills with the ability to effectively engage both technical and non-technical stakeholders.<br> Strong presentation skills and the ability to communicate clearly and professionally.<br> Ability to communicate business concepts, processes, and ideas concisely while adapting to different audiences.<br> Proficiency in data analysis and visualization tools such as Excel, Power BI, or Tableau.<br> Familiarity with project management tools such as Jira or Asana.<br> Knowledge of AI, Machine Learning, SaaS platforms, or experience within the technology or financial sectors is an advantage.<br> What We Look For Performance-driven professionals who thrive in dynamic and fast-paced environments.<br> Strong customer focus and stakeholder management skills.<br> Curiosity, adaptability, and a passion for innovation.<br> A collaborative mindset with a bias for action and continuous improvement.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Registration Authority (RA) is responsible for the registration and licensing of market entities, real properties, mortgages, land, leases, and securities within the Global Market. The RA also maintains statutory registers and serves as a trusted source of information for stakeholders. The Head of Digital Products is accountable for defining, delivering, and continuously enhancing the Registration Authority’s digital products and platforms. The role ensures that all digital solutions are secure, user-centric, scalable, and aligned with ADGM’s strategic objectives, regulatory obligations, and stakeholder needs. <strong>Key Responsibilities:</strong> <strong>Strategic Responsibilities:</strong> Define and execute the digital product strategy in alignment with ADGM and Registration Authority objectives. Develop, maintain, and continuously refine a prioritized digital product roadmap. Identify opportunities for innovation, automation, and service optimization across RA digital services. Monitor industry trends, emerging technologies, and best practices to inform strategic decision-making and future product development. <strong> Operational Responsibilities:</strong> Lead the full end-to-end product lifecycle, from concept and requirements definition through delivery, launch, and post-implementation optimization. Manage product requirements, including documentation, validation, governance, and sign-off. Oversee agile delivery processes, including sprint planning, backlog management, prioritization, UAT coordination, and release management. Drive user-centric and service-design-led approaches across all digital platforms to improve usability and operational efficiency. Define, track, and report on Objectives and Key Results (OKRs) and product performance metrics. Provide operational and functional support to key internal and external user groups. Ensure timely resolution of defects, incidents, and enhancement requests. <strong>Stakeholder &amp; Collaboration Responsibilities</strong> Act as the primary point of contact for digital products between the Registration Authority, ADGM technology teams, and external vendors or partners. Engage and manage senior stakeholders, ensuring alignment, clear communication, and effective dependency management. Gather, assess, and prioritize stakeholder and user feedback to drive continuous improvement and value realization. <strong>People Management Responsibilities:</strong> Lead, coach, and develop a high-performing digital product team. Set clear objectives and performance expectations aligned with organizational goals. Conduct regular performance reviews and provide timely, constructive feedback. Mentor and develop high-potential and critical talent to support succession planning. Address performance issues promptly and decisively. <strong>Information Security Responsibilities:</strong> Comply fully with ADGM Information Security policies, standards, and procedures. Ensure the confidentiality, integrity, and availability of ADGM information at all times. Embed security-by-design principles into all digital products and platforms. Promote information security awareness and best practices within the team</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor’s degree in Business, Computer Science, Engineering, or a related field. Master’s degree preferred, with exposure to Data, Analytics, AI, or Machine Learning. SAFe and/or Certified Scrum Product Owner (CSPO) certification. <strong>Experience &amp; Skills:</strong> Minimum 12 years’ experience in digital product management or digital transformation roles. Strong hands-on experience with agile and iterative delivery methodologies. Proven experience managing complex digital platforms and services. Experience with Salesforce, Power BI, and application development. Demonstrated experience working within regulated or compliance-driven environments. Strong analytical, problem-solving, and decision-making skills. Excellent communication, stakeholder management, and leadership capabilities. </p><p></p></section>

Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.<br><br>Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).<br><br>Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030.<br><br>Job Description<br><br>To own the end-to-end digital thread from deal origination to asset performance, together with the document-intelligence layer that turns Masdar’s contracts, engineering records, and due-diligence files into structured, decision-ready data — enabling “Documents → Data → Insight → Financial Decision.” Also serves as the product owner and execution lead for Masdar’s investment lifecycle and product lifecycle management platforms, spanning deal origination through asset performance.<br><br>Key Accountabilities : <br><br>Own the end-to-end platform portfolio across investment planning, engineering design, permitting, tendering, project execution, asset and pipeline management. Own enterprise document and contract-lifecycle platforms (Legal / CLM, engineering document control, M&A and due-diligence documentation). Define and maintain a single product roadmap aligned to business priorities, treating the investment lifecycle and its supporting documents as one digital thread. Ensure compliance, traceability, and governance across the transactional platforms and the document estate. Deploy AI-driven document workflows: ingestion of structured and unstructured data, extraction of key financial and legal fields, normalization, classification, summarization, and reasoning. Enable Human-in-the-Loop approvals and agent-to-agent orchestration across enterprise systems. Partner with Domain Architecture, Infrastructure, and Security to ensure agent identity and guardrails as workflows scale. Deliver platforms providing portfolio visibility, capital allocation insight, and scenario modeling for investments. Enable M&A due-diligence workflows, capital planning and approvals, project / construction tracking, and asset / portfolio performance. Partner closely with Finance, Investment, and M&A teams to connect document evidence to capital decisions. Integrate across ERP core (SAP / Oracle), procurement, asset management, document management, and EPC / O&M source systems. Build the enterprise-wide knowledge layer for a unified, origination-to-operations view. Lead Agile delivery through system integrators and Saa S vendors with structured release cycles and continuous improvement. Deliver operational and portfolio reporting via Saa S-native tooling and Power BI; partner with the AI Products & Analytics Platforms team for advanced insight. Manage system integrators, Saa S/ERP vendors (e.g., IFS, SAP, Oracle), Microsoft ecosystem partners, and AI vendors. Enforce SLAs, KPIs, and business outcomes; apply Fin Ops-style cost discipline on platform and AI spend. <br><br>Qualifications<br><br>Preferred Qualifications:<br><br>Bachelor’s or master’s degree in Technology, Engineering, Data/AI, Finance, or a related field. «TO CONFIRM» Masdar’s preferred certifications. <br><br>Preferred Experience:<br><br>14–18+ years in enterprise systems and product/platform ownership (elevated from the source roles to reflect the combined senior mandate). Proven end-to-end deployment of PLM and project-based ERP systems (e.g., IFS Cloud / IFS Project Lifecycle, SAP S/4HANA Projects, Oracle Projects / Primavera) across Design → Build → Integration → Go-Live → Optimization. <br><br>Job-Specific Skills:<br><br>6+ years in the control-based document ecosystem (enterprise Share Point, Microsoft Syntex) or Equivalent and 5+ years delivering enterprise document-transformation programs. Hands-on experience building AI-driven document workflows and agent-based orchestration (Azure Open AI / Copilot / multi-agent frameworks), with the identity, guardrail, and audit rigor expected of financial-grade AI platforms. Investment lifecycle and M&A processes; capital project development and construction lifecycle; financial planning and portfolio reporting. API-first / composable architecture and ERP integration across finance, procurement, and engineering; operational reporting via Saa S + Power BI; strong outsourced / partner-led delivery and stakeholder influence across Investment, Finance, M&A, Development, and functional teams. Renewable energy, utilities, infrastructure, or financial/investment platform background preferred. <br><br>Role is to be based in Abu Dhabi, UAE. <br><br>Additional Information<br><br>As part of the application process, we will collect, store and process personal information about you.<br><br>Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.

Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.<br><br>Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).<br><br>Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030.<br><br>Job Description<br><br>To own the end-to-end digital thread from deal origination to asset performance, together with the document-intelligence layer that turns Masdar’s contracts, engineering records, and due-diligence files into structured, decision-ready data — enabling “Documents → Data → Insight → Financial Decision.” Also serves as the product owner and execution lead for Masdar’s investment lifecycle and product lifecycle management platforms, spanning deal origination through asset performance.<br><br>Key Accountabilities : <br><br>Own the end-to-end platform portfolio across investment planning, engineering design, permitting, tendering, project execution, asset and pipeline management. Own enterprise document and contract-lifecycle platforms (Legal / CLM, engineering document control, M&A and due-diligence documentation). Define and maintain a single product roadmap aligned to business priorities, treating the investment lifecycle and its supporting documents as one digital thread. Ensure compliance, traceability, and governance across the transactional platforms and the document estate. Deploy AI-driven document workflows: ingestion of structured and unstructured data, extraction of key financial and legal fields, normalization, classification, summarization, and reasoning. Enable Human-in-the-Loop approvals and agent-to-agent orchestration across enterprise systems. Partner with Domain Architecture, Infrastructure, and Security to ensure agent identity and guardrails as workflows scale. Deliver platforms providing portfolio visibility, capital allocation insight, and scenario modeling for investments. Enable M&A due-diligence workflows, capital planning and approvals, project / construction tracking, and asset / portfolio performance. Partner closely with Finance, Investment, and M&A teams to connect document evidence to capital decisions. Integrate across ERP core (SAP / Oracle), procurement, asset management, document management, and EPC / O&M source systems. Build the enterprise-wide knowledge layer for a unified, origination-to-operations view. Lead Agile delivery through system integrators and Saa S vendors with structured release cycles and continuous improvement. Deliver operational and portfolio reporting via Saa S-native tooling and Power BI; partner with the AI Products & Analytics Platforms team for advanced insight. Manage system integrators, Saa S/ERP vendors (e.g., IFS, SAP, Oracle), Microsoft ecosystem partners, and AI vendors. Enforce SLAs, KPIs, and business outcomes; apply Fin Ops-style cost discipline on platform and AI spend. <br><br>Qualifications<br><br>Preferred Qualifications:<br><br>Bachelor’s or master’s degree in Technology, Engineering, Data/AI, Finance, or a related field. «TO CONFIRM» Masdar’s preferred certifications. <br><br>Preferred Experience:<br><br>14–18+ years in enterprise systems and product/platform ownership (elevated from the source roles to reflect the combined senior mandate). Proven end-to-end deployment of PLM and project-based ERP systems (e.g., IFS Cloud / IFS Project Lifecycle, SAP S/4HANA Projects, Oracle Projects / Primavera) across Design → Build → Integration → Go-Live → Optimization. <br><br>Job-Specific Skills:<br><br>6+ years in the control-based document ecosystem (enterprise Share Point, Microsoft Syntex) or Equivalent and 5+ years delivering enterprise document-transformation programs. Hands-on experience building AI-driven document workflows and agent-based orchestration (Azure Open AI / Copilot / multi-agent frameworks), with the identity, guardrail, and audit rigor expected of financial-grade AI platforms. Investment lifecycle and M&A processes; capital project development and construction lifecycle; financial planning and portfolio reporting. API-first / composable architecture and ERP integration across finance, procurement, and engineering; operational reporting via Saa S + Power BI; strong outsourced / partner-led delivery and stakeholder influence across Investment, Finance, M&A, Development, and functional teams. Renewable energy, utilities, infrastructure, or financial/investment platform background preferred. <br><br>Role is to be based in Abu Dhabi, UAE. <br><br>Additional Information<br><br>As part of the application process, we will collect, store and process personal information about you.<br><br>Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.

Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.<br><br>Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).<br><br>Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030.<br><br>Job Description<br><br>To own the end-to-end digital thread from deal origination to asset performance, together with the document-intelligence layer that turns Masdar’s contracts, engineering records, and due-diligence files into structured, decision-ready data — enabling “Documents → Data → Insight → Financial Decision.” Also serves as the product owner and execution lead for Masdar’s investment lifecycle and product lifecycle management platforms, spanning deal origination through asset performance.<br><br>Key Accountabilities : <br><br>Own the end-to-end platform portfolio across investment planning, engineering design, permitting, tendering, project execution, asset and pipeline management. Own enterprise document and contract-lifecycle platforms (Legal / CLM, engineering document control, M&A and due-diligence documentation). Define and maintain a single product roadmap aligned to business priorities, treating the investment lifecycle and its supporting documents as one digital thread. Ensure compliance, traceability, and governance across the transactional platforms and the document estate. Deploy AI-driven document workflows: ingestion of structured and unstructured data, extraction of key financial and legal fields, normalization, classification, summarization, and reasoning. Enable Human-in-the-Loop approvals and agent-to-agent orchestration across enterprise systems. Partner with Domain Architecture, Infrastructure, and Security to ensure agent identity and guardrails as workflows scale — consistent with governed AI-platform practice at Goldman Sachs and JPMorgan Chase Deliver platforms providing portfolio visibility, capital allocation insight, and scenario modeling for investments. Enable M&A due-diligence workflows, capital planning and approvals, project / construction tracking, and asset / portfolio performance. Partner closely with Finance, Investment, and M&A teams to connect document evidence to capital decisions. Integrate across ERP core (SAP / Oracle), procurement, asset management, document management, and EPC / O&M source systems. Build the enterprise-wide knowledge layer for a unified, origination-to-operations view. Lead Agile delivery through system integrators and Saa S vendors with structured release cycles and continuous improvement. Deliver operational and portfolio reporting via Saa S-native tooling and Power BI; partner with the AI Products & Analytics Platforms team for advanced insight. Manage system integrators, Saa S/ERP vendors (e.g., IFS, SAP, Oracle), Microsoft ecosystem partners, and AI vendors. Enforce SLAs, KPIs, and business outcomes; apply Fin Ops-style cost discipline on platform and AI spend. <br><br>Qualifications<br><br>Preferred Qualifications:<br><br>Bachelor’s or master’s degree in Technology, Engineering, Data/AI, Finance, or a related field. «TO CONFIRM» Masdar’s preferred certifications. <br><br>Preferred Experience:<br><br>14–18+ years in enterprise systems and product/platform ownership (elevated from the source roles to reflect the combined senior mandate). Proven end-to-end deployment of PLM and project-based ERP systems (e.g., IFS Cloud / IFS Project Lifecycle, SAP S/4HANA Projects, Oracle Projects / Primavera) across Design → Build → Integration → Go-Live → Optimization. <br><br>Job-Specific Skills:<br><br>6+ years in the control-based document ecosystem (enterprise Share Point, Microsoft Syntex) or Equivalent and 5+ years delivering enterprise document-transformation programs. Hands-on experience building AI-driven document workflows and agent-based orchestration (Azure Open AI / Copilot / multi-agent frameworks), with the identity, guardrail, and audit rigor expected of financial-grade AI platforms. Investment lifecycle and M&A processes; capital project development and construction lifecycle; financial planning and portfolio reporting. API-first / composable architecture and ERP integration across finance, procurement, and engineering; operational reporting via Saa S + Power BI; strong outsourced / partner-led delivery and stakeholder influence across Investment, Finance, M&A, Development, and functional teams. Renewable energy, utilities, infrastructure, or financial/investment platform background preferred. <br><br>Role is to be based in Abu Dhabi, UAE. <br><br>Additional Information<br><br>As part of the application process, we will collect, store and process personal information about you.<br><br>Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.

About the Role We are a technology company operating at the intersection of Core Network & Roaming, Private 5G, Cybersecurity, and Artificial Intelligence, working with telecom operators, enterprises, and government entities. The CEO requires a highly capable, sharp, and discreet Senior Executive Operation Assistant who can function as the CEO's eyes and ears across the organization someone who brings order, visibility, and accountability to the CEO's daily operating rhythm and to cross-functional execution across Sales, Delivery/Projects, Presales, Operations, and Support functions.<br>This is not a conventional secretarial or calendar-management role. The ideal candidate is a proactive, detail-obsessed operator who can track commitments across the business, chase accountability without needing to be told twice, synthesize information from multiple teams, and give the CEO a clear, real-time picture of what's moving, what's stuck, and what's at risk — at any given moment.<br>Given the nature of this role and the sensitive/strategic information the candidate will be exposed to, relevant prior experience in a similar capacity is non-negotiable.<br><br>KEY RESPONSIBILITIES<br>1. Actionable & Task Management- Maintain a live, structured tracker of all pending actionable assigned by the CEO to internal teams, department heads, clients, or vendors.- Proactively follow up with respective owners on due/overdue items and escalate delays to the CEO with context, not just status.- Maintain a tracker of all pending presentations, reports, MIS, and analyses expected by the CEO from various functions, along with due dates and status.- Ensure nothing "falls off the radar" — the CEO should never have to ask "whatever happened to X?"<br>2. Deadline & Project Delivery Tracking- Maintain a master tracker of all committed delivery timelines by project/functional leads across ongoing projects (Core Network/Roaming deployments, Private 5G rollouts, Cybersecurity engagements, AI/product initiatives), including internal milestones and client-committed dates.- Track project stage-wise progress (design, procurement, implementation, testing, go-live, support) and flag slippages proactively.- Coordinate with project/delivery heads to obtain regular status updates and consolidate them into CEO-ready dashboards/reports.- Maintain a repository of RAID logs (Risks, Assumptions, Issues, Dependencies) as inputs for CEO review, working with respective project owners.<br>3. Meetings & Documentation- Schedule, prioritize, and manage the CEO's calendar with sound judgment on urgency and importance.- Attend key internal/external meetings (as directed) to take structured minutes, capture action items with clear ownership and timelines, and circulate/track them to closure.- Maintain a searchable repository of meeting records, decisions taken, and historical context for ongoing matters/clients/projects.- Prepare briefing notes for the CEO ahead of important meetings (client, investor, partner, internal reviews).<br>4. Client & Vendor Coordination- Track and follow up on pending commitments, proposals, contracts, POs, invoices, and escalations with clients and vendors on behalf of the CEO.- Coordinate scheduling and logistics for client/vendor meetings, visits, and reviews.- Maintain a tracker of key account/vendor relationship touchpoints and outstanding issues requiring CEO attention or intervention.<br>5. Internal Coordination- Act as the coordination hub between the CEO's office and functional heads (Sales, Presales, Delivery, Operations, Finance, HR, Cybersecurity practice, AI practice) to ensure timely flow of information in both directions.- Chase internal teams for inputs, data, and deliverables required by the CEO, ensuring quality and timeliness before items reach the CEO's desk.- Coordinate logistics and content for internal reviews (weekly/monthly business reviews, board meeting prep support, town halls, offsites).<br>6. Sales & Operations Reporting- Consolidate periodic sales updates — pipeline status, order booking, revenue tracking, key deal status — from the Sales/Presales teams into a CEO-ready format.- Consolidate operational updates (delivery status, resource utilization, escalations, SLA/compliance items) from Operations/Delivery teams.- Maintain dashboards/MIS that give the CEO a single-glance view of business health across verticals. 7. Confidentiality, Judgment & Ad-hoc Support- Handle sensitive business, financial, HR, and strategic information with absolute discretion and confidentiality.- Exercise sound judgment on prioritization, escalation, and information-sharing — knowing what needs the CEO's immediate attention versus what can be handled independently or delegated.- Support the CEO on ad-hoc assignments that may include: research inputs, presentation/report preparation, travel and event coordination, correspondence drafting, and special projects as they arise.- Be available to flex beyond standard responsibilities as business needs evolve — this role's scope will grow with the trust placed in the candidate.<br><br>REQUIRED SKILLS & COMPETENCIES<br>-Exceptional organizational and follow-up discipline — the single most important trait for this role.- Strong command of MS Excel/Google Sheets (trackers, dashboards, pivot tables) and Power Point for CEO-ready reporting.- Sharp written and verbal communication — able to draft crisp emails, minutes, and briefing notes without handholding.- Ability to interact confidently and professionally with senior leadership, clients, and vendors.- High situational awareness — able to read priorities, sense urgency, and connect dots across departments without explicit instruction.- Comfortable working in a fast-paced, technology/telecom environment with cross-functional, technically complex projects.- Assertive enough to chase deadlines and escalate to senior stakeholders professionally and diplomatically.- Absolute integrity and discretion with confidential information.- Working familiarity with project tracking tools (MS Project, Jira, Asana, Trello, Monday.com, or similar) is an advantage.<br><br>Qualifications & Experience<br>- Graduate/Postgraduate in any discipline; MBA or equivalent is preferred but not mandatory if experience is strong.- 6 to10 years of demonstrated experience as an Executive Assistant or Business/Project Coordinator to a CEO/CXO/senior leader, ideally within Telecom, Networking, IT/Technology, Cybersecurity, or Engineering/Infrastructure companies.- Proven track record of managing trackers, MIS, and follow-ups across multiple stakeholders simultaneously.- Prior exposure to project delivery environments (even if not technical) will be a strong advantage, given the nature of the business.- Experience directly supporting a founder/CEO/MD in a growing or mid-sized organization is highly preferred over large-corporate generalist EA experience.<br><br>Reporting & Working Relationship<br>- Direct reporting to the CEO.- Dotted-line working relationships with all functional heads (Sales, Delivery, Operations, Cybersecurity, AI, Finance, HR) for information flow and coordination.- This role carries an implicit mandate from the CEO's office — cooperation from functional teams is expected and will be reinforced by leadership.<br><br>What Success Looks Like in This Role<br>- The CEO has real-time visibility into every open commitment, deadline, and follow-up without having to chase anyone personally.- Nothing significant is missed, delayed, or forgotten due to lack of tracking.- Cross-functional teams respond to the CEO's office promptly because the coordination channel is trusted and effective.- The CEO can delegate an increasing share of coordination, tracking, and follow-up work to this role over time, freeing up bandwidth for strategic priorities.

What is Kalshi?<br><br>Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history, is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more.<br><br>We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position.<br><br>Our vision: well… build the largest financial market on the planet. Our mission: bring more truth to the world through the power of markets.<br><br>Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets.<br><br>Role Roadmap<br><br>We’re looking for an ambitious, relentless operator to build and scale our You Tube and podcast creator partnerships.<br><br>This is not a traditional influencer marketing role. Your job is to identify the creators who shape conversations around sports, politics, finance, and culture, convince them to partner with Kalshi, negotiate high-performing deals, and continuously improve the efficiency of our creator portfolio.<br><br>In the near term, you'll sprint to make Kalshi unavoidable during the NFL season and the U. S. midterm elections. Longer term, you'll help build the largest creator partnership network across sports, news, and culture.<br><br>We want someone energized by cold outreach, who loves negotiating, enjoys finding hidden opportunities before anyone else, and measures success in results.<br><br>What You'll Do<br><br>Source and recruit You Tube creators and podcasts across sports, politics, news, finance, and culture Conduct high-volume outbound outreach to creators, agents, and management teams Negotiate sponsorships, integrations, and long-term creator partnerships Evaluate partnership opportunities based on audience quality, economics, and customer acquisition potential Own relationships with creators from first outreach through execution and renewal Constantly test new categories, formats, and creators to improve performance. Build systems to scale creator sourcing and outreach as Kalshi's partnership program grows Work closely with Growth, Brand, Creative, and Partnership teams to maximize campaign performance<br><br>What You Bring<br><br>Passion for sports, politics, media, internet culture, or financial markets Exceptional work ethic and persistence - you aren't intimidated by sending thousands of outreach messages if that's what it takes Strong negotiation skills and sound business judgment Highly organized with the ability to manage hundreds of simultaneous conversations Comfortable operating with ambitious goals and little structure Excited to own outcomes rather than simply execute tasks Experience buying or managing You Tube sponsorships or creator partnerships Background in influencer marketing, media buying, talent partnerships, creator economy, or business development<br><br>NYC Pay Transparency Disclosure<br><br>Salary Range: $150,000 to $250,000 annually plus equity and benefits. This salary range is based on the current available market data, and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but has broad ranges of experience represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to further discuss.<br><br>Our Culture<br><br>Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.<br><br>Kalshians are Kalshi’s most important asset: we pick Kalshians carefully, so we trust them fully on day 1.<br><br>Commitment to Equal Opportunity<br><br>Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our mission and values, we’d love to hear from you.<br><br>What is Kalshi?<br><br>Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history, is currently the fastest growing financial market in America, and has thousands of markets across politics, economics, financials, weather, tech, AI, culture and more.<br><br>We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position.<br><br>Our vision: well… build the largest financial market on the planet. Our mission: bring more truth to the world through the power of markets.<br><br>Our culture is simple: we hire really talented people, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets.<br><br>Role Roadmap<br><br>We’re looking for an ambitious, relentless operator to build and scale our You Tube and podcast creator partnerships.<br><br>This is not a traditional influencer marketing role. Your job is to identify the creators who shape conversations around sports, politics, finance, and culture, convince them to partner with Kalshi, negotiate high-performing deals, and continuously improve the efficiency of our creator portfolio.<br><br>In the near term, you'll sprint to make Kalshi unavoidable during the NFL season and the U. S. midterm elections. Longer term, you'll help build the largest creator partnership network across sports, news, and culture.<br><br>We want someone energized by cold outreach, who loves negotiating, enjoys finding hidden opportunities before anyone else, and measures success in results.<br><br>What You'll Do<br><br>Source and recruit You Tube creators and podcasts across sports, politics, news, finance, and culture Conduct high-volume outbound outreach to creators, agents, and management teams Negotiate sponsorships, integrations, and long-term creator partnerships Evaluate partnership opportunities based on audience quality, economics, and customer acquisition potential Own relationships with creators from first outreach through execution and renewal Constantly test new categories, formats, and creators to improve performance. Build systems to scale creator sourcing and outreach as Kalshi's partnership program grows Work closely with Growth, Brand, Creative, and Partnership teams to maximize campaign performance<br><br>What You Bring<br><br>Passion for sports, politics, media, internet culture, or financial markets Exceptional work ethic and persistence - you aren't intimidated by sending thousands of outreach messages if that's what it takes Strong negotiation skills and sound business judgment Highly organized with the ability to manage hundreds of simultaneous conversations Comfortable operating with ambitious goals and little structure Excited to own outcomes rather than simply execute tasks Experience buying or managing You Tube sponsorships or creator partnerships Background in influencer marketing, media buying, talent partnerships, creator economy, or business development<br><br>NYC Pay Transparency Disclosure<br><br>Salary Range: $150,000 to $250,000 annually plus equity and benefits. This salary range is based on the current available market data, and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but has broad ranges of experience represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to further discuss.<br><br>Our Culture<br><br>Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.<br><br>Kalshians are Kalshi’s most important asset: we pick Kalshians carefully, so we trust them fully on day 1.<br><br>Commitment to Equal Opportunity<br><br>Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our mission and values, we’d love to hear from you.

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br><br>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka's deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br><br>We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br><br>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br><br>Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br><br>Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br><br>Who We're Looking For<br><br>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:<br><br>Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty<br><br>No deep technical background is required — we will onboard you on the lightweight tools involved.<br><br>What You'll Do<br><br>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale<br><br>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br><br>Skills & Requirements<br><br>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+)<br><br>Compensation<br><br>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Additional Information<br><br>Job Number 26087607<br><br>Job Category Food and Beverage & Culinary<br><br>Location Dubai Parks & Resorts, Sheikh Zayed Road, Dubai, 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>Responsible for all on-site details for executing group events, develop and follow checklist/itinerary, and troubleshoot event problems. Serve as liaison and contact person for coordinating details of events with clients, outside vendors, meeting planners, and others involved in events. Design, confirm, and communicate room layouts and set-up requirements for special events. Enter and retrieve information contained in computer databases using a keyboard, mouse, or trackball to update records, files, and reservations. Transmit information or documents using computer, mail, or facsimile machine. Operate standard office equipment other than computers. Prepare weekly departmental payroll paperwork.<br><br>Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees; and serve as a role model and first point of contact of the Guarantee of Fair Treatment/Open Door Policy process. Follow all company and safety and security policies and procedures, report accidents and injuries, and complete safety training and certifications. Ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, protect company assets, and visually inspect tools, equipment, or machines. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, 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 others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than 50 pounds without assistance.<br><br>Preferred Qualifications<br><br>Education: High school diploma or G. E. D. equivalent.<br><br>Related Work Experience: Less than 1 year related work experience.<br><br>Supervisory Experience: At least 2 years of supervisory experience.<br><br>License or Certification: None<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>The Autograph Collection is a growing collection of four and five-star independent hotels, each offering unique and memorable experiences. Each hotel is thoughtfully chosen for its quality, originality, bold character, and ability to offer today’s traveler a range of unique experiences suited to their individual sense of style and adventure. All Autograph Collection hotels look to attract The Individualist, the brand's target consumer. The Individualist is someone who uses travel as an opportunity to add to their personal narrative – in essence they are hand selecting our hotels whether for personal or corporate travel because it is much more than simply a place to rest. In joining Autograph Collection, 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.

Job Title: Senior Cloud Modernization & Migration Engineer (Azure → Alibaba Cloud)<br><br>Job Location: UAE (Onsite)<br><br>Experince: 7+ years<br><br>Duration: Long-term<br><br>Role Overview<br><br>We are looking for a highly skilled and hands-on Cloud Modernization & Migration Engineer to support a strategic transformation initiative. The role involves modernizing existing monolithic applications in Microsoft Azure, containerizing them using Kubernetes, and leading a seamless migration to Alibaba Cloud.<br><br>The ideal candidate will have deep expertise in application modernization, cloud-native architectures, AI-driven efficiencies, and multi-cloud migration strategies.<br><br>Key Responsibilities<br><br>Application Modernization:<br><br> Assess and analyze existing monolithic applications. Design and implement modernization strategies (re-architecting, refactoring, microservices transformation). Apply cloud-native principles (12-factor applications, scalability, resilience). Integrate AI/ML components where applicable to improve efficiency and automation.<br><br>Cloud & Containerization<br><br> Containerize applications using Docker and Kubernetes (AKS/ACK or similar). Build and manage scalable container orchestration platforms. Implement CI/CD pipelines for automated deployments.<br><br>Azure Environment Management<br><br> Work with existing Microsoft Azure workloads and services. Optimize architecture for performance, scalability, and cost. Ensure best practices in security, governance, and monitoring.<br><br>Migration To Alibaba Cloud<br><br> Design and execute migration strategies from Microsoft Azure to Alibaba Cloud. Map Azure services to equivalent Alibaba Cloud services. Perform workload migrations with minimal downtime and risk. Optimize applications post-migration for the Alibaba Cloud ecosystem.<br><br>AI Enablement (Value Add)<br><br> Identify opportunities to leverage AI/ML for: Application performance optimization Automation of operations Intelligent monitoring and alerting Work with AI services across Microsoft Azure and/or Alibaba Cloud where relevant.<br><br>Core Expertise<br><br>Required Skills & Experience:<br><br> Strong experience in modernizing monolithic applications into microservices. Deep hands-on experience with Microsoft Azure services and architecture. Proven experience or strong familiarity with Alibaba Cloud services. Solid hands-on experience with Kubernetes (deployment, scaling, troubleshooting).<br><br>Technical Skills<br><br> Containerization: Docker, Kubernetes Programming: Java / . NET / Python (strong proficiency in at least one) CI/CD: Azure Dev Ops, Jenkins, Git Lab CI, or similar Infrastructure as Code: Terraform, Azure Resource Manager (ARM) Templates, Bicep, or Alibaba Cloud ROS API Design & Microservices Architecture Cloud Networking and Security<br><br>AI / Advanced Capabilities (Preferred)<br><br> Exposure to AI/ML services such as Azure AI Services, Azure Machine Learning, or Alibaba Cloud PAI. Experience integrating AI capabilities into applications or operational workflows.<br><br>Soft Skills<br><br> Strong delivery ownership and accountability. Excellent client-facing communication skills. Ability to work in complex, multi-cloud environments. Strong problem-solving mindset with a hands-on execution approach.<br><br>Experience Requirements<br><br> 7+ years of experience in cloud engineering and application modernization. Proven track record delivering end-to-end modernization projects. Experience in multi-cloud environments (Azure + Alibaba Cloud preferred). Prior experience executing large-scale migration projects.<br><br>Nice To Have<br><br> Microsoft Azure, Alibaba Cloud, or Kubernetes certifications. Experience with service mesh technologies (Istio, Linkerd, etc.). Knowledge of Dev Sec Ops practices.<br><br>What We Expect<br><br>This is a delivery-heavy role, not just architecture or advisory. The successful candidate must remain hands-on throughout the complete project lifecycle, including:<br><br> Application Modernization Containerization Migration Post-Migration Optimization<br><br>Skills: ai/ml,.net,migration,docker,cloud,alibaba cloud,microsoft azure,java,kubernetes,cloud modernization,jenkins,azure,mircoservices,modernization,alibaba,azure devops,python,api

Job Title: Senior Cloud Modernization & Migration Engineer (Azure → Alibaba Cloud)<br><br>Job Location: UAE (Onsite)<br><br>Experince: 7+ years<br><br>Duration: Long-term<br><br>Role Overview<br><br>We are looking for a highly skilled and hands-on Cloud Modernization & Migration Engineer to support a strategic transformation initiative. The role involves modernizing existing monolithic applications in Microsoft Azure, containerizing them using Kubernetes, and leading a seamless migration to Alibaba Cloud.<br><br>The ideal candidate will have deep expertise in application modernization, cloud-native architectures, AI-driven efficiencies, and multi-cloud migration strategies.<br><br>Key Responsibilities<br><br>Application Modernization:<br><br> Assess and analyze existing monolithic applications. Design and implement modernization strategies (re-architecting, refactoring, microservices transformation). Apply cloud-native principles (12-factor applications, scalability, resilience). Integrate AI/ML components where applicable to improve efficiency and automation.<br><br>Cloud & Containerization<br><br> Containerize applications using Docker and Kubernetes (AKS/ACK or similar). Build and manage scalable container orchestration platforms. Implement CI/CD pipelines for automated deployments.<br><br>Azure Environment Management<br><br> Work with existing Microsoft Azure workloads and services. Optimize architecture for performance, scalability, and cost. Ensure best practices in security, governance, and monitoring.<br><br>Migration To Alibaba Cloud<br><br> Design and execute migration strategies from Microsoft Azure to Alibaba Cloud. Map Azure services to equivalent Alibaba Cloud services. Perform workload migrations with minimal downtime and risk. Optimize applications post-migration for the Alibaba Cloud ecosystem.<br><br>AI Enablement (Value Add)<br><br> Identify opportunities to leverage AI/ML for: Application performance optimization Automation of operations Intelligent monitoring and alerting Work with AI services across Microsoft Azure and/or Alibaba Cloud where relevant.<br><br>Core Expertise<br><br>Required Skills & Experience:<br><br> Strong experience in modernizing monolithic applications into microservices. Deep hands-on experience with Microsoft Azure services and architecture. Proven experience or strong familiarity with Alibaba Cloud services. Solid hands-on experience with Kubernetes (deployment, scaling, troubleshooting).<br><br>Technical Skills<br><br> Containerization: Docker, Kubernetes Programming: Java / . NET / Python (strong proficiency in at least one) CI/CD: Azure Dev Ops, Jenkins, Git Lab CI, or similar Infrastructure as Code: Terraform, Azure Resource Manager (ARM) Templates, Bicep, or Alibaba Cloud ROS API Design & Microservices Architecture Cloud Networking and Security<br><br>AI / Advanced Capabilities (Preferred)<br><br> Exposure to AI/ML services such as Azure AI Services, Azure Machine Learning, or Alibaba Cloud PAI. Experience integrating AI capabilities into applications or operational workflows.<br><br>Soft Skills<br><br> Strong delivery ownership and accountability. Excellent client-facing communication skills. Ability to work in complex, multi-cloud environments. Strong problem-solving mindset with a hands-on execution approach.<br><br>Experience Requirements<br><br> 7+ years of experience in cloud engineering and application modernization. Proven track record delivering end-to-end modernization projects. Experience in multi-cloud environments (Azure + Alibaba Cloud preferred). Prior experience executing large-scale migration projects.<br><br>Nice To Have<br><br> Microsoft Azure, Alibaba Cloud, or Kubernetes certifications. Experience with service mesh technologies (Istio, Linkerd, etc.). Knowledge of Dev Sec Ops practices.<br><br>What We Expect<br><br>This is a delivery-heavy role, not just architecture or advisory. The successful candidate must remain hands-on throughout the complete project lifecycle, including:<br><br> Application Modernization Containerization Migration Post-Migration Optimization<br><br>Skills: ai/ml,.net,migration,docker,cloud,alibaba cloud,microsoft azure,java,kubernetes,cloud modernization,jenkins,azure,mircoservices,modernization,alibaba,azure devops,python,api