Machine operator Jobs - Dubai UAE

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

Technical & Operations Manager Location: Dubai, UAESalary: AED 20,000 – 35,000 per month (DOE) Industry: Critical Infrastructure | Data Centres | Industrial Operations | Digital Infrastructure<br>The Opportunity We are seeking an experienced Technical & Operations Manager to take ownership of the day-to-day operational and technical performance of a large-scale infrastructure facility based in Dubai. This is a hands-on leadership role requiring a blend of technical expertise, operational management, engineering knowledge, supplier management and commercial awareness. The successful candidate will act as a key operational leader, ensuring maximum reliability, uptime, safety and efficiency across the site whilst supporting future growth and infrastructure development. The position would suit individuals from data centres, telecommunications, critical infrastructure, power generation, industrial operations, manufacturing, mining, engineering or similar mission-critical environments.<br>Key Responsibilities Site Operations & Performance Lead the day-to-day operational management of the facility. Ensure safe, efficient and reliable operation of all site infrastructure. Monitor operational performance and KPI reporting. Implement operational best practices and continuous improvement initiatives. Develop and maintain operational procedures and standards. Act as a key point of contact between operational teams, contractors and senior leadership. Technical Infrastructure Management Oversee the performance, maintenance and optimisation of critical infrastructure and technical equipment. Support infrastructure upgrades, expansion projects and capacity planning. Coordinate technical troubleshooting and root-cause analysis activities. Ensure maximum equipment availability and operational uptime. Work closely with engineering teams to identify and resolve operational challenges. Maintenance & Reliability Manage preventive and corrective maintenance programmes. Lead maintenance planning and execution activities. Drive reliability initiatives to minimise downtime and maximise asset performance. Implement maintenance schedules and asset management processes. Monitor equipment performance and identify improvement opportunities. Electrical & Engineering Oversight Support the management of electrical systems and site infrastructure. Coordinate with engineering contractors and technical service providers. Ensure infrastructure operates safely, efficiently and within operational standards. Assist with technical evaluations, upgrades and future expansion projects. Procurement & Supply Chain Management Manage procurement activities relating to technical equipment, infrastructure and operational requirements. Evaluate and select suppliers, manufacturers and service providers. Maintain inventory controls and spare parts management processes. Ensure critical components and materials are available to support uninterrupted operations. Negotiate and manage vendor relationships. Contractor & Vendor Management Oversee third-party contractors and service providers. Monitor supplier performance and service delivery. Ensure compliance with contractual obligations and operational standards. Build and maintain strong relationships with key suppliers and industry partners. Health, Safety & Compliance Promote a strong health, safety and operational compliance culture. Ensure adherence to HSE procedures and operational policies. Support risk assessments, audits and site compliance requirements. Maintain safe working practices across all operational activities. External Site & Supplier Engagement Conduct periodic visits to supplier facilities, contractors and operational sites as required. Evaluate operational practices and identify opportunities for improvement. Support the assessment of new suppliers, infrastructure partners and technical solutions. Experience Required5+ years' experience in technical operations, infrastructure management or facility operations. Proven experience managing mission-critical or industrial environments. Strong understanding of maintenance, reliability and operational performance management. Experience managing contractors, suppliers and procurement activities. Knowledge of electrical systems, facility infrastructure or engineering operations. Strong leadership and people management skills. Experience managing budgets, operational KPIs and continuous improvement initiatives. Excellent problem-solving and decision-making capabilities. Preferred Backgrounds Data Centres Telecommunications Critical Infrastructure Industrial Operations Manufacturing Power Generation Energy Infrastructure Mining Operations Engineering Services Digital Infrastructure Candidate Profile The ideal candidate will be a proactive, hands-on operator who enjoys solving problems, improving operational performance and leading teams in fast-paced technical environments. They will be equally comfortable on-site, managing contractors, engaging suppliers, reviewing infrastructure performance and supporting senior leadership with strategic operational decisions. Package Competitive salary package Dubai-based position Opportunity to join a rapidly growing infrastructure operation Significant autonomy and leadership responsibility Long-term career growth opportunities

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.

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.

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.

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

We are seeking an experienced Senior Solutions Architect - Cards & Payments Platform to lead architecture design and delivery for strategic cards and payments initiatives within a leading banking environment.<br><br>The ideal candidate will possess deep expertise in cards processing, card management platforms, payment ecosystems, banking integrations, API architecture, security, and enterprise-scale solution design. This role requires ownership of end-to-end architecture solutions that balance business requirements, customer experience, scalability, resiliency, security, and operational excellence.<br><br>Requirements<br><br>Key Responsibilities :<br><br>Required Experience<br><br>10+ years of overall technology experience.<br><br>Minimum 2-3 years as a Solution Architect or Technical Architect within Cards/Payments domain.<br><br>Strong experience in banking and financial services environments.<br><br>Proven Experience Delivering Enterprise-scale Cards And Payments Solutions.<br><br>Solution Architecture & Delivery<br><br>Design end-to-end architecture solutions for Cards and Payments platforms Produce architecture artifacts, solution designs, and technical specifications Define scalable, resilient, secure, and reusable architecture patterns Ensure alignment with enterprise architecture standards and business objectives Evaluate and integrate third-party card management and payment solutions Support solution estimation, feasibility studies, vendor assessments, and technology selection Collaborate with product, business, engineering, infrastructure, security, and operations teams Drive architecture governance, reviews, and compliance processes<br><br>Cards & Payments Domain Leadership<br><br>Architect solutions across the complete card lifecycle:Card Issuance Card Activation Card Management Transaction Processing Acquiring Authorization Clearing Settlement Chargebacks Dispute Management Design solutions for:Credit Cards Debit Cards Prepaid Cards Corporate Cards Co-Branded Cards Loyalty & Rewards Programs Cashback Solutions Installment Payment Programs Work with payment gateways, processors, switches, clearing systems, and banking ecosystems Architecture Governance<br><br>Develop reusable reference architectures and architecture blueprints Conduct peer reviews and architecture assessments Mentor junior architects and engineering teams Deliver architecture workshops and knowledge-sharing sessions Contribute to architecture standards, patterns, and best practices<br><br>Mandatory Domain Expertise<br><br>Card Management Platforms<br><br>Hands-on architecture experience with one or more of:<br><br>Vision PLUSWay4First Data Card Pac Similar Card Management Systems<br><br>Cards Processing<br><br>Strong understanding of:<br><br>Authorization Processing Clearing & Settlement Card Switching Acquiring Issuing Merchant Payments Chargebacks Dispute Management Reconciliation Processes<br><br>Payment Ecosystem<br><br>Experience with:<br><br>Payment Gateways Payment Processors Card Networks Clearing Systems Banking Integration Platforms Third-Party Financial Ecosystems<br><br>Industry Standards & Compliance<br><br>Strong knowledge of:<br><br>PCI-DSSEMVPSD2UAE Central Bank Regulations GDPRFinancial Services Security Standards<br><br>Security & Fraud Prevention<br><br>Experience implementing:<br><br>Tokenization3D Secure (3DS) Encryption Technologies Authentication & Authorization Frameworks Secure API Design Data Protection Controls<br><br>Technical Skills<br><br>Architecture & Integration<br><br>Enterprise Architecture Solution Architecture Technical Architecture API Architecture Microservices Architecture Event-Driven Architecture Distributed Systems Design Integration Architecture<br><br>Banking & Payments Technologies<br><br>REST APIsSOAP Services ISO 8583Payment Switch Integrations Core Banking Integrations Middleware Platforms Enterprise Service Bus (ESB)<br><br>Security Architecture<br><br>Threat Modeling Data Classification Asset Valuation Security by Design Security Logging & Monitoring Encryption & Key Management Authentication & Authorization Cybersecurity Controls<br><br>Cloud & Modern Engineering (Preferred)<br><br>Exposure to:<br><br>Cloud Architecture Dev Ops Practices Container Platforms CI/CD Pipelines<br><br>AI Knowledge (Preferred)<br><br>Awareness or experience with:<br><br>Artificial Intelligence Machine Learning Generative AILarge Language Models (LLMs) Retrieval-Augmented Generation (RAG) Embedding Models Vector Databases AI Agents / Agentic AIModel Context Protocol (MCP) Git Hub Copilot Claude Code<br><br>Key Competencies<br><br>Strong stakeholder management skills Excellent communication and presentation skills Strategic and analytical thinking Strong problem-solving capabilities Delivery-focused mindset Ability to balance customer experience, functionality, security, performance, and resiliency Self-driven and capable of working with minimal supervision Strong mentoring and coaching abilities High learning agility and adaptability

Job Description – Laser Therapist Company: Eternell Clinic Location: Jumeirah 1, Dubai, UAEEmployment Type: Full-Time Joining: Immediate About Eternell Clinic Eternell Clinic is a premium aesthetic, wellness, and longevity clinic offering advanced treatments in aesthetics, laser therapy, skin rejuvenation, functional medicine, regenerative therapies, IV therapies, and preventive healthcare. We are seeking a skilled and client-focused Laser Therapist to join our aesthetic services team and deliver safe, effective, and high-quality laser and skin treatments. Role Summary The Laser Therapist will be responsible for conducting laser hair removal, aesthetic laser procedures, skin treatments, and related non-invasive services in accordance with DHA regulations, clinic protocols, and internationally accepted safety standards. The role requires strong technical knowledge, excellent client communication skills, attention to detail, and the ability to contribute to the clinic’s service quality, client retention, and revenue objectives. Key Responsibilities Laser and Aesthetic Treatments Perform professional laser hair removal treatments for female and male clients. Conduct client consultations, skin assessments, and hair-growth evaluations before treatment. Select appropriate laser parameters based on the client’s skin type, hair type, medical history, and treatment area. Perform laser and light-based aesthetic treatments within the scope permitted by the relevant professional licence. Provide skin rejuvenation, pigmentation, acne, vascular, and other aesthetic treatments, where qualified and authorised. Carry out pre-treatment preparation and post-treatment care. Monitor client response during and after each procedure. Maintain accurate treatment records, photographs, consent forms, and progress notes. Client Consultation and Care Explain treatment procedures, expected outcomes, contraindications, risks, and aftercare requirements. Conduct patch tests when required. Obtain informed consent before commencing any procedure. Develop personalised treatment plans and recommend appropriate treatment packages. Follow up with clients after procedures and address concerns professionally. Build long-term client relationships and ensure a premium client experience. Handle sensitive client information with complete confidentiality. Safety, Hygiene, and Compliance Follow all DHA regulations, infection-control standards, clinic policies, and laser safety protocols. Ensure the treatment room, laser equipment, protective eyewear, and consumables are properly prepared before each procedure. Maintain strict sterilisation, sanitation, and hygiene standards. Identify contraindications and refer clients to the doctor when medical clearance is required. Immediately report adverse reactions, burns, equipment concerns, or clinical incidents. Ensure laser equipment is operated safely and only within authorised clinical protocols. Maintain knowledge of emergency procedures and adverse-event management. Equipment and Inventory Management Conduct daily checks of laser and aesthetic equipment. Ensure machines are cleaned, calibrated, maintained, and used according to manufacturer guidelines. Coordinate equipment servicing and maintenance requirements with the clinic management team. Monitor stock levels of consumables, gels, disposable items, aftercare products, and protective equipment. Inform the clinic manager of stock requirements in advance. Minimise product wastage and ensure efficient use of clinic resources. Sales and Business Development Educate clients about suitable laser, aesthetic, skincare, and wellness services. Recommend treatment packages and homecare products based on genuine client needs. Support the achievement of monthly individual and clinic revenue targets. Participate in promotional campaigns, open days, client events, and consultation drives. Assist with client retention, rebooking, package renewals, and referral generation. Maintain professional and ethical sales practices without making misleading claims. Documentation and Reporting Maintain complete and accurate electronic and physical client records. Record machine settings, treatment areas, skin responses, and aftercare instructions for every session. Prepare daily and weekly reports on treatments performed, consultations, sales, client feedback, and follow-ups. Report client complaints, incidents, cancellations, and operational concerns to the Clinic Manager. Comply with all internal reporting and performance-review requirements. Qualifications and Licensing Diploma, certification, or recognised qualification in Laser Therapy, Beauty Therapy, Aesthetic Therapy, Nursing, or a related field. Valid DHA licence or eligibility as a Laser Therapist, Beauty Therapist, Assistant Nurse, Registered Nurse, or other approved professional category, as applicable. Certified training in laser hair removal and laser safety. Additional certifications in aesthetic devices, skin treatments, IPL, RF, HIFU, microneedling, or facial therapies will be an advantage. Current Basic Life Support certification is preferred. Experience Minimum 2 years of relevant experience in laser hair removal and aesthetic treatments. Previous experience in a dermatology, aesthetic, plastic surgery, wellness, or premium medical clinic is preferred. Practical experience working with different skin types, particularly Fitzpatrick skin types common in the UAE. Experience in handling recognised laser platforms and aesthetic devices is highly desirable. Experience in treatment-package conversion, upselling, and client retention will be an advantage. Key Performance Indicators Performance may be assessed based on:Number of consultations and treatments completed. Treatment safety and quality. Client satisfaction and feedback. Client rebooking and retention rates. Treatment-package conversion rates. Monthly revenue and sales performance. Accuracy of documentation and treatment records. Compliance with DHA, laser safety, hygiene, and clinic protocols. Equipment care and inventory control. Punctuality, attendance, teamwork, and professional conduct. Working Conditions Full-time position based at Eternell Clinic, Jumeirah 1, Dubai. The candidate must be flexible to work shifts, weekends, and public holidays based on the clinic schedule. Weekly off days will be provided according to the operational requirements and UAE labour regulations. The role involves prolonged standing and regular operation of laser and aesthetic equipment. Preferred Candidate Profile The ideal candidate will be clinically competent, well-presented, commercially aware, and passionate about delivering safe and effective aesthetic treatments. The candidate should be capable of building trust with clients, maintaining high treatment standards, and contributing positively to the growth and reputation of Eternell Clinic. Apply at : info@eternell.org

We are looking for a highly skilled Senior Dev Ops Engineer to join our Technology Engineering team and support enterprise-scale platform engineering initiatives within a highly regulated environment.<br><br>The ideal candidate should have strong expertise in CI/CD automation, Infrastructure as Code (IaC), container platforms, Kubernetes/Open Shift, Dev Ops tooling, and production support. This role requires hands-on engineering experience in designing, implementing, and managing modern Dev Ops platforms while collaborating closely with development, infrastructure, security, and platform engineering teams.<br><br>You will play a key role in building and maintaining scalable deployment pipelines, automating infrastructure provisioning, improving platform reliability, and driving engineering excellence across enterprise applications.<br><br>Requirements<br><br>Key Responsibilities<br><br>Design, develop, implement, and maintain enterprise-grade CI/CD pipelines for microservices and cloud-native applications Build and manage automated deployment pipelines using Jenkins, Git Hub Actions, Argo CD, and Helm Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and automation frameworks Automate application deployment, infrastructure provisioning, configuration management, and operational workflows Manage containerized applications using Docker, Kubernetes, Open Shift, and Podman Support platform onboarding by enabling application teams through automation and self-service capabilities Collaborate with Development, Infrastructure, Security, Platform Engineering, and Product teams to deliver scalable platform solutions Integrate Dev Sec Ops tools into CI/CD pipelines, ensuring security, compliance, and governance throughout the software delivery lifecycle Implement automated security scans, regulatory checks, vulnerability management, and patch automation Develop automation scripts using Groovy, Python, and Shell scripting Troubleshoot complex production issues, perform root cause analysis, and provide operational support within a Dev Ops/SRE environment Monitor platform health, system performance, and application reliability using enterprise monitoring solutions Implement logging, monitoring, alerting, and observability solutions across enterprise platforms Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives Contribute to engineering best practices, platform standardization, automation strategies, and continuous improvement initiatives Work within production support rotations and ensure high availability of critical enterprise platforms<br><br>Required Technical Skills<br><br>Dev Ops & CI/CD<br><br>Strong hands-on experience with CI/CD pipeline development and automation Jenkins Git Hub Actions Argo CDHelm Git Ops methodology Shared Libraries Pipeline as Code<br><br>Container & Platform Technologies<br><br>Docker Kubernetes Open Shift Podman Container orchestration Microservices architecture<br><br>Infrastructure as Code (IaC)<br><br>Terraform Ansible Infrastructure automation Configuration management<br><br>Scripting & Programming<br><br>Python Groovy Linux Shell Scripting (Bash) API integration and automation<br><br>Source Control<br><br>Git Git Hub<br><br>Dev Sec Ops & Security<br><br>Experience integrating security tools into CI/CD pipelines, including:<br><br>Sonar Qube Checkmarx Sysdig Nexus Repository Nexus IQCosign Automated security validation Compliance automation Vulnerability scanning<br><br>Monitoring & Observability<br><br>ELK Stack Prometheus Grafana Logging Monitoring Alerting Performance analysis<br><br>Operating Systems<br><br>Linux Windows Shell scripting System administration<br><br>Cloud Platforms<br><br>Hands-on experience with one or more public cloud providers:<br><br>Microsoft Azure AWSOracle Cloud Infrastructure (OCI)<br><br>Experience with:<br><br>Compute Storage Networking Cloud platform services<br><br>Required Technical Knowledge<br><br>Dev Ops methodologies Site Reliability Engineering (SRE) Infrastructure as Code (IaC) Twelve-Factor Application principles CI/CD best practices Cloud-native application architecture Microservices deployment REST API integrations Production support Incident management Root cause analysis High-availability platform engineering<br><br>Networking & Security<br><br>Good understanding of:<br><br>Network fundamentals Security engineering principles Authentication & Authorization Secure software delivery Infrastructure security Enterprise compliance standards<br><br>Required Competencies<br><br>Strong troubleshooting and analytical skills Excellent communication and stakeholder management Ability to collaborate effectively with cross-functional engineering teams Strong ownership mindset with focus on automation and operational excellence Ability to work in Agile, Dev Ops, and product-oriented delivery environments Self-starter with strong initiative and problem-solving ability Calm under pressure with excellent incident management skills Passion for continuous learning and adopting modern technologies<br><br>Preferred Experience<br><br>Banking Financial Services Fin Tech Other highly regulated enterprise environments<br><br>Experience supporting:<br><br>Large-scale enterprise platforms High-availability systems Mission-critical applications Distributed environments Global engineering organizations<br><br>Nice to Have<br><br>Experience with Machine Learning (ML) or AI platform deployments Exposure to MLOps practices Experience building AI/ML deployment pipelines Public cloud certifications Kubernetes/Open Shift certifications Dev Ops or Cloud certifications

We are looking for a highly skilled Senior Dev Ops Engineer to join our Technology Engineering team and support enterprise-scale platform engineering initiatives within a highly regulated environment.<br><br>The ideal candidate should have strong expertise in CI/CD automation, Infrastructure as Code (IaC), container platforms, Kubernetes/Open Shift, Dev Ops tooling, and production support. This role requires hands-on engineering experience in designing, implementing, and managing modern Dev Ops platforms while collaborating closely with development, infrastructure, security, and platform engineering teams.<br><br>You will play a key role in building and maintaining scalable deployment pipelines, automating infrastructure provisioning, improving platform reliability, and driving engineering excellence across enterprise applications.<br><br>Requirements<br><br>Key Responsibilities<br><br>Design, develop, implement, and maintain enterprise-grade CI/CD pipelines for microservices and cloud-native applications Build and manage automated deployment pipelines using Jenkins, Git Hub Actions, Argo CD, and Helm Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and automation frameworks Automate application deployment, infrastructure provisioning, configuration management, and operational workflows Manage containerized applications using Docker, Kubernetes, Open Shift, and Podman Support platform onboarding by enabling application teams through automation and self-service capabilities Collaborate with Development, Infrastructure, Security, Platform Engineering, and Product teams to deliver scalable platform solutions Integrate Dev Sec Ops tools into CI/CD pipelines, ensuring security, compliance, and governance throughout the software delivery lifecycle Implement automated security scans, regulatory checks, vulnerability management, and patch automation Develop automation scripts using Groovy, Python, and Shell scripting Troubleshoot complex production issues, perform root cause analysis, and provide operational support within a Dev Ops/SRE environment Monitor platform health, system performance, and application reliability using enterprise monitoring solutions Implement logging, monitoring, alerting, and observability solutions across enterprise platforms Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives Contribute to engineering best practices, platform standardization, automation strategies, and continuous improvement initiatives Work within production support rotations and ensure high availability of critical enterprise platforms<br><br>Required Technical Skills<br><br>Dev Ops & CI/CD<br><br>Strong hands-on experience with CI/CD pipeline development and automation Jenkins Git Hub Actions Argo CDHelm Git Ops methodology Shared Libraries Pipeline as Code<br><br>Container & Platform Technologies<br><br>Docker Kubernetes Open Shift Podman Container orchestration Microservices architecture<br><br>Infrastructure as Code (IaC)<br><br>Terraform Ansible Infrastructure automation Configuration management<br><br>Scripting & Programming<br><br>Python Groovy Linux Shell Scripting (Bash) API integration and automation<br><br>Source Control<br><br>Git Git Hub<br><br>Dev Sec Ops & Security<br><br>Experience integrating security tools into CI/CD pipelines, including:<br><br>Sonar Qube Checkmarx Sysdig Nexus Repository Nexus IQCosign Automated security validation Compliance automation Vulnerability scanning<br><br>Monitoring & Observability<br><br>ELK Stack Prometheus Grafana Logging Monitoring Alerting Performance analysis<br><br>Operating Systems<br><br>Linux Windows Shell scripting System administration<br><br>Cloud Platforms<br><br>Hands-on experience with one or more public cloud providers:<br><br>Microsoft Azure AWSOracle Cloud Infrastructure (OCI)<br><br>Experience with:<br><br>Compute Storage Networking Cloud platform services<br><br>Required Technical Knowledge<br><br>Dev Ops methodologies Site Reliability Engineering (SRE) Infrastructure as Code (IaC) Twelve-Factor Application principles CI/CD best practices Cloud-native application architecture Microservices deployment REST API integrations Production support Incident management Root cause analysis High-availability platform engineering<br><br>Networking & Security<br><br>Good understanding of:<br><br>Network fundamentals Security engineering principles Authentication & Authorization Secure software delivery Infrastructure security Enterprise compliance standards<br><br>Required Competencies<br><br>Strong troubleshooting and analytical skills Excellent communication and stakeholder management Ability to collaborate effectively with cross-functional engineering teams Strong ownership mindset with focus on automation and operational excellence Ability to work in Agile, Dev Ops, and product-oriented delivery environments Self-starter with strong initiative and problem-solving ability Calm under pressure with excellent incident management skills Passion for continuous learning and adopting modern technologies<br><br>Preferred Experience<br><br>Banking Financial Services Fin Tech Other highly regulated enterprise environments<br><br>Experience supporting:<br><br>Large-scale enterprise platforms High-availability systems Mission-critical applications Distributed environments Global engineering organizations<br><br>Nice to Have<br><br>Experience with Machine Learning (ML) or AI platform deployments Exposure to MLOps practices Experience building AI/ML deployment pipelines Public cloud certifications Kubernetes/Open Shift certifications Dev Ops or Cloud certifications

Who We Are<br><br>Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br><br>To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.<br><br>We Are BCG X<br><br>We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.<br><br>What You'll Do<br><br>Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.<br><br>As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.<br><br>Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.<br><br>We Are Looking For Talented Individuals With a Passion For Data Science, Statistics, Operations Research And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following<br><br>Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or Dev Ops experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills <br><br>What You'll Bring<br><br>Technologies<br><br>Programming Languages: Python<br><br>#BCGXjob<br><br>Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.<br><br>BCG is an E - Verify Employer. Click here for more information on E-Verify.

Who We Are<br><br>Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br><br>To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.<br><br>We Are BCG X<br><br>We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.<br><br>What You'll Do<br><br>Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.<br><br>As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.<br><br>Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.<br><br>We Are Looking For Talented Individuals With a Passion For Data Science, Statistics, Operations Research And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following<br><br>Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or Dev Ops experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills <br><br>What You'll Bring<br><br>Technologies<br><br>Programming Languages: Python<br><br>#BCGXjob<br><br>Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.<br><br>BCG is an E - Verify Employer. Click here for more information on E-Verify.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Drive AI agentic solution sales within enterprise accounts in the Dubai market, exceeding ambitious revenue targets.</li><li>Develop and execute a strategic sales plan focused on identifying and penetrating key enterprise sectors with AI solutions.</li><li>Build and nurture strong relationships with C-suite executives and key decision-makers, understanding their business challenges and positioning AI agentic solutions as transformative.</li><li>Lead complex, multi-stakeholder sales cycles for advanced AI technologies, demonstrating deep product knowledge and consultative selling expertise.</li><li>Collaborate with pre-sales engineers and product teams to tailor AI agentic solutions to specific client needs and use cases.</li><li>Analyze market trends and competitive landscapes in the Dubai AI enterprise space to identify new opportunities and refine sales strategies.</li><li>Manage and forecast the sales pipeline accurately, ensuring predictable revenue growth and identifying potential risks.</li><li>Mentor and develop a high-performing sales team, fostering a culture of continuous learning and achievement in AI sales.</li><li>Represent the company at industry events and conferences, establishing thought leadership in AI agentic enterprise solutions.</li><li>Negotiate and close high-value enterprise deals, ensuring favorable terms and long-term client satisfaction.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's degree in Business, Computer Science, Engineering, or a related field; MBA preferred.</p></li><li><p>Minimum of 7 years of proven enterprise sales experience, with at least 3 years specifically in AI, machine learning, or advanced technology solutions.</p></li><li><p>Demonstrated success in selling complex, high-value solutions to C-level executives in the UAE market.</p></li><li><p>Deep understanding of AI agentic technologies, their applications, and the enterprise sales landscape in Dubai.</p></li><li><p>Exceptional negotiation, communication, and presentation skills, with the ability to articulate complex technical concepts persuasively.</p></li><li><p>Strong analytical and strategic thinking abilities, coupled with a results-oriented mindset.</p></li><li><p>Proficiency in CPaaS Sales</p></li><li><p>Fluency in English is mandatory; Arabic language proficiency is a significant advantage.</p></li><li><p>Experience working with or selling to government entities and large conglomerates in Dubai is highly desirable.</p></li><li><p>Ability to thrive in a fast-paced, innovative, and competitive market environment.</p></li></ul><p></p></section>

Responsibilities<br><br>About the Team<br><br>The Corporate Service System team aims to deliver advanced product solutions in the corporate service domain for better management efficiency and user experience of staff services. We build intelligent decision-making platforms for business owners and build efficient & comfortable office lifestyles for employees. We also encourage creative ideas and lots of innovative products are grown from our daily work.<br><br>As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.<br><br>Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br>Successful candidates must be able to commit to at least 3 months long internship period.<br><br>Job Responsibilities<br><br> Assist in the design, development, testing, and deployment of software solutions. Write clean, efficient, and maintainable code following best practices. Collaborate with senior engineers to solve technical challenges. Participate in code reviews, debugging, and performance optimization. Develop and maintain technical documentation. Work with cross-functional teams, including product managers, designers and quality assurances, to deliver high-quality features.<br><br><br>Qualifications<br><br>Minimum Qualifications:<br><br> Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Proficiency in at least one programming language (e.g., Golang, Java, C++, Python). Understanding of data structures, algorithms, and software development principles. Experience with version control systems (e.g., Git), databases (SQL or NoSQL) and cloud services (e.g., AWS, Azure). Strong problem-solving skills and a willingness to learn.<br><br><br>Preferred Qualifications<br><br> Experience with AI, Machine Learning, or Large Language Models (LLMs). Familiarity with frameworks or technologies such as Spring Boot, Tensor Flow, PyTorch, Hugging Face. Knowledge of Dev Ops, CI/CD, or containerization tools (e.g., Docker, Kubernetes).<br><br><br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br>About Us<br><br>Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join Byte Dance<br><br>Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities<br><br>About the Team<br><br>The Corporate Service System team aims to deliver advanced product solutions in the corporate service domain for better management efficiency and user experience of staff services. We build intelligent decision-making platforms for business owners and build efficient & comfortable office lifestyles for employees. We also encourage creative ideas and lots of innovative products are grown from our daily work.<br><br>As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.<br><br>Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br>Successful candidates must be able to commit to at least 3 months long internship period.<br><br>Job Responsibilities<br><br> Assist in the design, development, testing, and deployment of software solutions. Write clean, efficient, and maintainable code following best practices. Collaborate with senior engineers to solve technical challenges. Participate in code reviews, debugging, and performance optimization. Develop and maintain technical documentation. Work with cross-functional teams, including product managers, designers and quality assurances, to deliver high-quality features.<br><br><br>Qualifications<br><br>Minimum Qualifications:<br><br> Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Proficiency in at least one programming language (e.g., Golang, Java, C++, Python). Understanding of data structures, algorithms, and software development principles. Experience with version control systems (e.g., Git), databases (SQL or NoSQL) and cloud services (e.g., AWS, Azure). Strong problem-solving skills and a willingness to learn.<br><br><br>Preferred Qualifications<br><br> Experience with AI, Machine Learning, or Large Language Models (LLMs). Familiarity with frameworks or technologies such as Spring Boot, Tensor Flow, PyTorch, Hugging Face. Knowledge of Dev Ops, CI/CD, or containerization tools (e.g., Docker, Kubernetes).<br><br><br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br>About Us<br><br>Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join Byte Dance<br><br>Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Who We Are<br><br>Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br><br>To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.<br><br>We Are BCG X<br><br>We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.<br><br>What You'll Do<br><br>Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.<br><br>You'll be part of our rapidly growing team who will have a chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.<br><br>Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.<br><br>We Are Looking For Dedicated Individuals With a Passion For Data Science, Statistics, Operations Research And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following<br><br> Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or Dev Ops experience) Significant experience applying advanced analytics to business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills<br><br>What You'll Bring<br><br>Requirements<br><br>Currently enrolled in a university master’s or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field<br><br>Technologies<br><br>Programming Languages: Python<br><br>#BCGXjob<br><br>Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.<br><br>BCG is an E - Verify Employer. Click here for more information on E-Verify.