Data Entry Jobs in UAE

Role: SQL Developer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $25 - $60/hour<br>Role Overview:We are hiring for one of our clients, seeking a SQL Developer to work on a contract basis. The role involves designing, developing, and maintaining SQL-based solutions to support data-driven decision-making. You will collaborate with cross-functional teams to optimize database performance and ensure data integrity.<br>Key Responsibilities:• Design, write, and optimize complex SQL queries to extract, transform, and load data efficiently.• Develop and maintain stored procedures, functions, and triggers to support business applications.• Collaborate with data analysts and engineers to ensure accurate and timely data delivery.• Troubleshoot and resolve database performance issues to enhance system reliability.• Document database schemas, data models, and query logic for team reference.<br>Required Skills & Qualifications:• Proficiency in SQL with experience in query optimization and performance tuning.• Hands-on experience with database design, indexing, and partitioning strategies.• Familiarity with transactional and analytical database systems (e.g., Postgre SQL, MySQL, SQL Server).• Ability to write clean, maintainable, and scalable SQL code.• Experience with version control systems, such as Git, for database schema changes.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development and Data Infrastructure and Analytics industries, contributing to scalable data solutions that drive business insights. The contract includes flexible hours and the ability to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: SQL Developer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $25 - $60/hour<br>Role Overview:We are hiring for one of our clients, seeking a SQL Developer to work on a contract basis. The role involves designing, developing, and maintaining SQL-based solutions to support data-driven decision-making. You will collaborate with cross-functional teams to optimize database performance and ensure data integrity.<br>Key Responsibilities:• Design, write, and optimize complex SQL queries to extract, transform, and load data efficiently.• Develop and maintain stored procedures, functions, and triggers to support business applications.• Collaborate with data analysts and engineers to ensure accurate and timely data delivery.• Troubleshoot and resolve database performance issues to enhance system reliability.• Document database schemas, data models, and query logic for team reference.<br>Required Skills & Qualifications:• Proficiency in SQL with experience in query optimization and performance tuning.• Hands-on experience with database design, indexing, and partitioning strategies.• Familiarity with transactional and analytical database systems (e.g., Postgre SQL, MySQL, SQL Server).• Ability to write clean, maintainable, and scalable SQL code.• Experience with version control systems, such as Git, for database schema changes.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development and Data Infrastructure and Analytics industries, contributing to scalable data solutions that drive business insights. The contract includes flexible hours and the ability to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: SQL Developer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $25 - $60/hour<br>Role Overview:We are hiring for one of our clients, seeking a SQL Developer to work on a contract basis. The role involves designing, developing, and maintaining SQL-based solutions to support data-driven decision-making. You will collaborate with cross-functional teams to optimize database performance and ensure data integrity.<br>Key Responsibilities:• Design, write, and optimize complex SQL queries to extract, transform, and load data efficiently.• Develop and maintain stored procedures, functions, and triggers to support business applications.• Collaborate with data analysts and engineers to ensure accurate and timely data delivery.• Troubleshoot and resolve database performance issues to enhance system reliability.• Document database schemas, data models, and query logic for team reference.<br>Required Skills & Qualifications:• Proficiency in SQL with experience in query optimization and performance tuning.• Hands-on experience with database design, indexing, and partitioning strategies.• Familiarity with transactional and analytical database systems (e.g., Postgre SQL, MySQL, SQL Server).• Ability to write clean, maintainable, and scalable SQL code.• Experience with version control systems, such as Git, for database schema changes.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development and Data Infrastructure and Analytics industries, contributing to scalable data solutions that drive business insights. The contract includes flexible hours and the ability to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Job Purpose<br><br>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralised unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.<br><br>The role of the Analytics & Insights Specialist is to support the delivery of analysis and insights use cases for a diverse range of departments and business stakeholders. Work closely to support the Analytics and Insights Manager to develop information driven solutions that help business leaders understand their data and how it can be used to identify opportunities and solve complex business problems. The Analytics and Insights Specialist uses a variety of business and technical skills to deliver bespoke information products rapidly that ensures data and information provide valuable context that underpins each decision. This role also provides technical subject matter expertise within their domain to design solutions that are reliable, scalable and empower business to access the data they need, when they need it most.<br><br>In This Role, You Will<br><br>Support the Analytics and Insights manager in the delivery of complex insights use cases in a manner which is accepted by business stakeholders, through compelling visualisation and narratives incorporating analytical insight into actionable business narratives. Leverage relevant frameworks that capture relevant data models and business logic whilst ensuring a systematic approach to deliver projects of high value in a timely manner leveraging self-service capabilities where possible. Support the Analytics and Insights manager in assisting various stakeholders to define relevant metrics and KPI?s and designing action orientated reports. Based on past insights engagements support business users on ad hoc analytics questions, best practice use of tools analytical tools, such as Power BI and Snowflake. Support the Analytics and Insights manager, partnering with relevant business units identifying performance, causal analysis, data gaps, and provide recommendations. Support the Analytics and Insights manager in transitioning meaningful insights to the relevant business unit power users via training and coaching and/or productionising analysis via Enterprise Data and Analytics (ED&A) large solutions. Ensuring the business is enabled with self-service and to maintain the on-going analysis. Conduct in-depth analysis, utilising relevant statistical methods to provide actionable insights based on business hypothesis. Dependant on the insights use case, support the Analytics and Insights Manager to technically retrieve and query data from relevant source system if not already ingested and available in the enterprise data platform. Based on Insights use case, complete relevant documentation including business logic, transformations, and semantic definition to ensure smooth transition to business handover or productionising insights use case to ED&A large solutions.<br><br>Qualification<br><br>To be considered for this role, you must meet the below requirements:<br><br>Qualifications: Completed Bachelors/Masters Degree or Honours (12+3 or equivalent) Experience: 5+ Years of experience in Information Technology or other related field. <br><br>Knowledge & Skills<br><br>Experience in working with and having an understanding of Data & Analytics tools and platforms including Data Warehouses data lakes and visualisation toolsets. Experience and knowledge in one or more of the following business domains such as: customer, commercial, operations, Finance, Human Resources etc. Experience in using analytics tools and technologies (e.g. SQL, Python, Power BI, Tableau, Looker). Experience of delivering end to end analysis of a business problem from data extraction, modelling to dashboard creation and monitoring over time. Experience of Power BI/Micro Strategy or other visualisation tool set is a must. Strong analytics and business intelligence skills. Knowledge of SQL/Python/R. Excellent communication skills, with the ability to interact with stakeholders at all levels of the business, including external parties. Knowledge of BI applications and design principles. Knowledge of data and KPIs commonly used in airline industry, particularly as they relate to the commercial application of this information.<br><br>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!<br><br>Salary & benefits<br><br>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Make an impact with NTT DATA</b><br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.</p><br><br><br><br><p>[to be created]</p><br><br><br><br><p><b><span>Workplace type</span>: </b></p><br><br>On-site Working<br><p><b>About NTT DATA</b><br>NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.&nbsp; Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&amp;D.</p><br><br><br><p><b>Equal Opportunity Employer</b><br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.</p><br><br><br><p><span><b>Third parties fraudulently posing as NTT DATA recruiters</b></span></p><br><br><p><span>NTT DATA recruiters will never ask job seekers<span> or</span> candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties <span>who may attempt to impersonate </span>NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter <span>will come from</span> an <b>@nttdata.com</b> email address. If you suspect any fraudulent activity, please </span><i>contact us</i>.</p><br><br><br> </div>

Research & Development Specialist???? Abu Dhabi, UAE<br>We are looking for a hands-on Research & Development Specialist to join a government entity in Abu Dhabi. This is an individual contributor role suited for professionals who enjoy conducting research, analyzing complex data, evaluating emerging technologies, and driving evidence-based recommendations.<br>We are looking for candidates who are actively involved in research and data analysis rather than leading large teams.<br>Key Responsibilities Conduct market and technology research to evaluate emerging trends and innovations. Perform data analysis and develop insights to support strategic decision-making. Assess new technologies using structured evaluation frameworks. Prepare research reports, technical documentation, and presentations for stakeholders. Monitor global technology and innovation trends and provide actionable recommendations. Support the planning and execution of research and innovation initiatives. Coordinate with internal and external stakeholders, including government entities, universities, research institutions, and technology partners. Contribute to knowledge management, lessons learned, and best practice documentation. Support workshops, training programs, and innovation-related events.<br>Requirements Bachelor's degree in Engineering, Data Analytics, Research, Economics, Technology, or a related discipline. Minimum 4 years of experience in research, data analysis, R&D, strategy, innovation, consulting, or a similar analytical role. Strong hands-on experience working with data, conducting research, and generating analytical insights. Excellent report writing and presentation skills. Experience using research methodologies, data analysis techniques, and analytical tools. Strong stakeholder management and communication skills.

Sales Manager – Banking & Financial Services<br>???? UAE<br>Auto Data is looking for an experienced banking and financial services professional to lead the growth of our automotive risk and portfolio analytics solutions across banks, finance companies, and lending institutions. This is more than a sales role. The successful candidate will help shape Auto Data's value proposition for the banking sector, work closely with senior stakeholders, and contribute to the future development of data-driven risk and lending solutions.<br>Ideal Background<br>10+ years of experience in Banking, Financial Services, Automotive Finance, Risk Management, Credit Risk, Compliance, Lending, or Portfolio Management Direct banking experience is required Strong understanding of automotive lending, vehicle finance, collateral valuation, portfolio monitoring, and risk management Existing relationships within banks and financial institutions are highly desirable Strong commercial, relationship management, and business development skills<br>What You'll Do<br>Develop relationships with banks, lenders, and financial institutions Drive growth of Auto Data's risk and portfolio analytics solutions Engage with senior stakeholders including Risk Managers, Credit Managers, Compliance Managers, Portfolio Managers, and Heads of Auto Finance Identify new business opportunities and support the development of innovative solutions for the banking sector Represent Auto Data within the banking and automotive finance community<br>Why Join Auto Data?<br>Join a fast-growing automotive technology and data business that is helping financial institutions make better lending, valuation, and risk-management decisions across the region.<br>To apply, please forward your CV to careers@autodata.ae

Sales Manager – Banking & Financial Services<br>???? UAE<br>Auto Data is looking for an experienced banking and financial services professional to lead the growth of our automotive risk and portfolio analytics solutions across banks, finance companies, and lending institutions. This is more than a sales role. The successful candidate will help shape Auto Data's value proposition for the banking sector, work closely with senior stakeholders, and contribute to the future development of data-driven risk and lending solutions.<br>Ideal Background<br>10+ years of experience in Banking, Financial Services, Automotive Finance, Risk Management, Credit Risk, Compliance, Lending, or Portfolio Management Direct banking experience is required Strong understanding of automotive lending, vehicle finance, collateral valuation, portfolio monitoring, and risk management Existing relationships within banks and financial institutions are highly desirable Strong commercial, relationship management, and business development skills<br>What You'll Do<br>Develop relationships with banks, lenders, and financial institutions Drive growth of Auto Data's risk and portfolio analytics solutions Engage with senior stakeholders including Risk Managers, Credit Managers, Compliance Managers, Portfolio Managers, and Heads of Auto Finance Identify new business opportunities and support the development of innovative solutions for the banking sector Represent Auto Data within the banking and automotive finance community<br>Why Join Auto Data?<br>Join a fast-growing automotive technology and data business that is helping financial institutions make better lending, valuation, and risk-management decisions across the region.<br>To apply, please forward your CV to careers@autodata.ae

Sales Manager – Banking & Financial Services<br>???? UAE<br>Auto Data is looking for an experienced banking and financial services professional to lead the growth of our automotive risk and portfolio analytics solutions across banks, finance companies, and lending institutions. This is more than a sales role. The successful candidate will help shape Auto Data's value proposition for the banking sector, work closely with senior stakeholders, and contribute to the future development of data-driven risk and lending solutions.<br>Ideal Background<br>10+ years of experience in Banking, Financial Services, Automotive Finance, Risk Management, Credit Risk, Compliance, Lending, or Portfolio Management Direct banking experience is required Strong understanding of automotive lending, vehicle finance, collateral valuation, portfolio monitoring, and risk management Existing relationships within banks and financial institutions are highly desirable Strong commercial, relationship management, and business development skills<br>What You'll Do<br>Develop relationships with banks, lenders, and financial institutions Drive growth of Auto Data's risk and portfolio analytics solutions Engage with senior stakeholders including Risk Managers, Credit Managers, Compliance Managers, Portfolio Managers, and Heads of Auto Finance Identify new business opportunities and support the development of innovative solutions for the banking sector Represent Auto Data within the banking and automotive finance community<br>Why Join Auto Data?<br>Join a fast-growing automotive technology and data business that is helping financial institutions make better lending, valuation, and risk-management decisions across the region.<br>To apply, please forward your CV to careers@autodata.ae

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.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><strong>About the Role:</strong><br><p>As a Business Analyst Intern, you will support our business analysis team in collecting and analyzing data, mapping processes, and helping define requirements for key projects. You will work closely with stakeholders to ensure solutions align with business objectives while gaining hands-on experience in a dynamic environment.</p><br><strong>Responsibilities:</strong><br><ul><li>Assist in gathering and documenting business requirements from stakeholders</li><li>Conduct data analysis to identify trends, patterns, and insights</li><li>Develop and maintain business process maps and workflow diagrams</li><li>Prepare reports and presentations using Microsoft Excel</li><li>Collaborate with cross-functional teams to clarify requirements and provide status updates</li><li>Support testing and validation of business solutions against requirements</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>0-1 years of experience in business analysis or related field</li><li>Proficiency in Microsoft Excel, including pivot tables, formulas, and data visualization</li><li>Basic understanding of data analysis techniques and statistical concepts</li><li>Familiarity with business process mapping methodologies</li><li>Experience with requirement gathering and documentation</li><li>Strong written and verbal communication skills</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Experience with SQL or data visualization tools such as Power BI or Tableau</li><li>Familiarity with Agile methodologies</li><li>Basic knowledge of process improvement frameworks (e.g., Lean, Six Sigma)</li><li>Exposure to project management or collaboration tools (e.g., JIRA, Trello)</li><li>Academic projects or coursework in business analysis or data analytics</li></ul><br></div></section>

Who We Are We help to create icons. We help to build marvels. Our products feature in some of the most iconic buildings in the world. RAK Ceramics is one of the largest ceramics brands globally, specializing in ceramic and gres porcelain wall and floor tiles, sanitaryware, faucets, and tableware. Headquartered in the United Arab Emirates, we serve clients in over 150 countries through operational hubs in Europe, the Middle East and North Africa, Asia, North & South America, and Australia. With over 12,000 employees from 40+ nationalities, we are a truly global and diverse organization. RAK Ceramics is publicly listed on the Abu Dhabi Securities Exchange (ADX) and the Dhaka Stock Exchange.<br>The Role The Item Master Controller is responsible for managing item master data, ensuring accuracy, consistency, and integrity of all item-related information. The focus will be on creating and maintaining a single master record for each item, eliminating duplicate codes and streamlining the purchasing process.<br>What You Will Be Doing Creating and assigning item codes to existing and new products and services based on predefined logic. Regularly reviewing and updating existing item codes to reflect any changes in product specifications, manufacturing processes, or inventory management systems. Managing the item code database by accurately entering and updating relevant information such as product descriptions, units of measure, and other mandatory attributes. Collaborating with various departments, including production, procurement, sales, finance, and quality control, to ensure accurate and consistent item code usage across the organization. Ensuring that item codes are properly linked to the correct products and components, minimizing the chances of errors or mix-ups in production or inventory management. Maintaining accurate records and documentation related to item codes, such as change logs, version control, and reports on item code usage and performance. Generating reports and analyzing data related to item codes for management decision-making or process improvements. Identifying opportunities for process improvements in item code management and implementing best practices to enhance efficiency and accuracy.<br>What We Are Looking For Some of the key competencies required for the role include:Functional Proficiency in ERP systems such as SAP MM (Materials Management). Experience in item master data management and maintaining accurate item-related information. Knowledge of data governance principles and best practices. Ability to use reporting and analytics tools to derive insights from master data. Ability to create, assign, review, and maintain item codes accurately.<br>Behavioural Ability to prioritize tasks and meet deadlines in a fast-paced environment. Demonstrates a continuous improvement mindset and seeks opportunities to enhance processes. Strong communication and collaboration skills with various departments. Ability to think critically when managing item master data. Strong analytical and problem-solving skills, with the ability to identify and resolve data integrity issues.<br>Our Ideal Match Bachelor’s degree in Mechanical Engineering is preferred; candidates with a degree in Electrical or Electronics Engineering may also be considered.8–10 years of total work experience, with 6–8 years of relevant experience in item master data management role. Strong experience in managing item codes, item master data, data accuracy, documentation, and data integrity. Hands-on experience with ERP systems such as SAP MM (Materials Management), along with knowledge of data governance and reporting/analytics tools.<br>RAK Ceramics is an Equal Opportunity Employer. We do not discriminate on the basis of race, colour, religion, gender, nationality, disability, age, or marital status.

Khazna was founded in 2012 and has grown rapidly into becoming the leading and trusted wholesale Data Center provider in the Middle East and North Africa region. Through our Data Centers, we provide industry benchmark levels of power supply and cooling services to better serve the growing need for data center operations in the UAE and wider region.<br>We are seeking an Operations Engineer (OE) who is responsible for the efficient operation and maintenance of data center facilities. This role ensures compliance with QHSE standards, manages hard services, coordinates soft services, and oversees specialist services and vendor management. The OE shall display excellent problem-solving skills, and the ability to work in a fast-paced environment.<br>Key Accountabilities:<br>Adherence to Policies: Comply with all relevant Khazna safety, quality, and environmental management policies, procedures, and controls to ensure a healthy and safe work environment for all occupants and self. Wear Personal Protective Equipment (PPE) adapted to the work environment and activity conducted at all times. Work Environment Safety: Ensure a safe and healthy work environment for all staff and visitors to the data center at all times. Policy Enforcement: Enforce health and safety policies in accordance with local and international regulations and laws. Audits and Risk Assessments: Conduct regular health and safety audits and risk assessments. Immediately stop any works that are considered unsafe and inform management by issuing a “Stop Works Notice.”Incident Reporting: Report any safety observations or near misses promptly and respond to and investigate health and safety incidents. Equipment Maintenance: Ensure all data center facility equipment and machinery are properly maintained and safe to use. Sustainability Compliance: Ensure compliance with Khazna’s sustainability strategies and action plans. Environmental Regulations: Ensure compliance with environmental regulations and best practices. Utilities Monitoring: Monitor and record utilities usage and waste to ensure efficient resource management. Accountable for HVAC, electrical systems, plumbing, and building fabric maintenance Shift Operations Oversight: Oversee the shift operations of the data center facility, ensuring all systems and processes are functioning efficiently. Escalate high-risk situations to Senior Engineers. Vendor Coordination: Coordinate with vendors to ensure maintenance activities are carried out in accordance with Khazna’s standard procedures and policies, maintaining high standards of service. Work Order Approval: Support the work order approval process for specialist third-party vendors on routine maintenance work. This includes tracking the entire process: briefing at the start of work, monitoring progress during the workday/shift, and conducting a final review of the work carried out. Permit Issuance: Assist in issuing permits to work for third-party vendors, ensuring all necessary permissions are in place for safe and compliant operations. Troubleshooting and Maintenance: Follow established procedures for troubleshooting and maintaining data center equipment, ensuring minimal disruption to operations. Oversee more complex troubleshooting and maintenance tasks. Incident Response Support: Assist senior staff with responding to on-site incidents, acting promptly and as directed to mitigate issues. NOC/BMS Coordination: Coordinate and liaise with the NOC/BMS Operators, ensuring prompt response to alerts and alarms in accordance with facility standard operating procedures, communication processes, and emergency response plans. Infrastructure Reliability: Ensure the data center’s infrastructure is consistently up and running, minimizing downtime and ensuring optimal performance through proactive management. Documentation Maintenance: Maintain accurate, up-to-date documentation of data center operations, including system performance data, incident reports, and change management records, to ensure transparency and accountability. Planned Maintenance Support: Assist in preparing and carrying out planned maintenance activities without disrupting data center operations, ensuring minimal downtime. Preventative Inspections: Assist in preparing and conduct regular preventative inspections and technical rounds for various non-critical data center facility components to ensure optimal performance. Annual Technical Checks: Collaborate with OE L1 to perform yearly assessments for technical or recurring issues, defining root causes, mitigating risks, and implementing effective solutions. Collaborate for mor complex issues with Senior Operations Engineers for in-depth analysis. Routine Repairs and Maintenance: Perform and oversee routine repairs, maintenance, and installations on non-critical and provide support (under the guidance of senior staff) for critical data center facility components, ensuring they are in good working order. Physical Security Protocols: Maintain physical security protocols to safeguard the data center and its assets. Vendor and Contractor Coordination: Coordinate with vendors and contractors for equipment installation, maintenance, and repair, ensuring all activities are completed to standard. Support the preparing and implementation of data center run book and play books. Support the preparing and implementation of data center drills, ERP and BCP scripts for routine activities. Responsible to ensure proper incident detection, logging, crisis management, resolution during the shift. Incident Response and Problem Resolution: Respond to all on-site incidents, act as required to resolve problems and provide necessary client support and timely communication during an incident. Take a lead role in incident response and resolution, seek assistance from senior engineering staff for complex or critical events. Crisis Management Support: Assist in overseeing the crisis management plan, including conducting related tests and implementing necessary measures. Disaster Recovery Coordination: Coordinate and oversee disaster recovery solutions and backup procedures to ensure data integrity and business continuity. Incident Response Assistance: Assist escalation level staff with responding to all on-site incidents, acting promptly and as directed to mitigate issues. Audit Assistance: Participate in audits to assess service continuity, assisting in risk assessments and proposing improvements. Senior Engineers will provide final reviews and approvals for audit outcomes and risk mitigation strategies. Departmental Collaboration: Effectively collaborate within the department, providing valuable input to peers for general maintenance activities to ensure seamless operations. Design and Construction Coordination: Coordinate with design and construction teams to ensure consistency and effectiveness in implementing facility upgrades and modifications. Adherence to Policies and Procedures: Follow all relevant corporate & departmental policies, processes, standard operating procedures, and instructions to ensure that work is carried out in a controlled and consistent manner. Continuous Improvement and Sustainability: Contribute to the identification of opportunities for continuous improvement, reliability and sustainability of systems, processes, and practices, considering global standards, productivity improvement, and cost reduction. Report Preparation: Assist and supports the Senior Operations Engineer in the preparation of timely and accurate statements and reports to meet departmental requirements, policies, and quality standards. Ensure comprehensive documentation and reporting.<br>Minimum Qualifications:<br>Bachelor’s degree in engineering, Higher National Diploma in Engineering (3 years) or equivalent. Intermediate certifications in O&M management or related fields. Certifications such as Certified Data Centre Professional (CDCP) or Certified Data Centre Specialist (CDCS).<br>Minimum Experience:<br>2 - 5 years of relevant experience Proven experience in data center operations and management or mission-critical facilities (preferred)<br><br>Minimum Skills / Requirements:<br>Technical Skills: Proficient in HVAC, electrical systems, plumbing, and building maintenance. Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent in English, good verbal and written communication skills. Teamwork: Ability to lead and work effectively in a team environment. Adaptability: Ability to manage changing priorities and complex tasks. Attention to Detail: High attention to detail and commitment to quality. Knowledge of critical infrastructure equipment and tools such as UPS, generators, BMS (Building Management System), chillers and FLS (Fire Life Safety System). Experience with various CAFM/CMMS platforms. Ability to coordinate and plan complex maintenance activities. Knowledge of data center standards and regulations (preferred).

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Own the company's overall financial strategy, budgeting, forecasting, and long-range planning</p><p>Manage cash flow and working capital across cross-border operations (UAE + Egypt), including currency risk and repatriation of funds</p><p>Oversee import/trade finance — LCs, supplier payment terms, customs duties, and cost-of-goods tracking for imported medical/aesthetic inventory</p><p>Prepare monthly, quarterly, and annual financial statements and board reporting packages</p><p>Ensure compliance with UAE VAT, Egyptian tax law, and any relevant free-zone/customs regulations</p><p>Lead pricing and margin analysis for distribution deals and new product line negotiations (e.g. injectable/device distribution agreements)</p><p>Build and manage relationships with banks, auditors, and financial institutions</p><p>Develop and enforce internal financial controls, approval workflows, and fraud-prevention measures</p><p>Manage inventory financing and stock valuation for a trading/distribution business model</p><p>Support due diligence and structuring for new supplier/distributor partnerships</p><p>Build out the finance team as the company scales (AP/AR, accountants, controllers)</p><p>Provide financial risk assessment for litigation, receivables, and debt recovery matters</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Bachelor's degree in Finance, Accounting, or Economics (required)</p><p>CPA, ACCA, CFA, or CMA certification (strongly preferred)</p><p>MBA is a plus, especially with a finance or international business focus</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>emaratech, part of the profile for the Investment Corporation of Dubai.<br> Founded in 2004, emaratech has fortified its experience and reputation through its excellent high-tech products &amp; world class services that impact lives.<br> We provide high-end market strategies, business process outsourcing, and business IT solutions to public &amp; private sectors.<br> We are currently looking for Senior Dot NET developers and below are the details: Role : Senior Software Engineer Responsibilities Design and develop high-quality software solutions using the Dot NET framework.<br> Collaborate with cross-functional teams to gather and analyze requirements.<br> Write clean, scalable, and efficient code, adhering to best practices.<br> Integrate applications with external systems and APIs.<br> Conduct code reviews and provide constructive feedback to team members.<br> Debug and troubleshoot applications for performance and usability.<br> Bachelor's degree in Computer Science or relevant field.<br> Minimum 5 years of experience in software development with a focus on the Dot NET framework.<br> Proficiency in C#, ASP.<br>NET, and database management (e.<br>g., SQL Server).<br> Familiarity with Microservices architecture, CI/CD pipelines, front-end technologies such as HTML, CSS, and JavaScript.<br> Experience in Agile development methodologies.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Key Responsibilities:</p><ul><li>Prepare, compile, and submit product registration dossiers for IVD products to MOHAP and other relevant authorities.</li><li>Ensure timely renewal and maintenance of product licenses and regulatory approvals.</li><li>Classify medical devices and IVD products according to UAE and international regulatory requirements.</li><li>Review product labeling, packaging, and promotional materials for regulatory compliance.</li><li>Liaise and communicate with MOHAP officers and other health authorities for registration follow-ups and clarifications.</li><li>Maintain regulatory databases, documentation, and product registration records.</li><li>Monitor and interpret changes in regulatory requirements and ensure company compliance.</li><li>Collaborate with internal departments (Quality, Operations, Sales) to ensure all regulatory documentation supports business needs.</li><li>Support importation and post-market surveillance activities as required.</li></ul> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Requirements</p><ul><li>Bachelor’s Degree in Pharmacy, Biomedical Science, Biotechnology, or a related field.</li><li>Minimum 2 years of regulatory affairs experience in IVD or medical device registration in the UAE.</li><li>Proven experience in preparing and submitting product registration dossiers to MOHAP.</li><li>Good understanding of UAE medical device and IVD classification, registration, and importation procedures.</li><li>Familiarity with GCC and international regulatory frameworks (ISO 13485, CE marking, etc.) is an advantage.</li><li>Strong organizational and documentation skills with attention to detail.</li><li>Excellent communication and coordination skills with regulatory authorities.</li><li>Proficiency in English (Arabic is an advantage).</li><li>Based in or willing to relocate to Dubai, UAE.</li></ul><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Company Name:</b> VAN FACTORY LLC</p><p><b>Location:</b> INDUSTRIAL AREA 11, SHARJAH,UAE</p><p><b>Employment Type:</b> Full-time</p><p>We are looking for a <b>skilled and detail-oriented Accountant-MALE with 2 years experience</b> to join our team. The ideal candidate will be responsible for managing financial records, preparing reports, handling accounts, and ensuring compliance with accounting standards.</p><p><b>Key Responsibilities:</b></p><ul><li>Maintain general ledger and financial records</li><li>Prepare and analyze financial statements</li><li>Manage accounts payable and receivable</li><li>Handle bank reconciliations and payroll processing</li><li>Assist in budgeting, forecasting, and audits</li><li>Ensure compliance with company policies and financial regulations</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor’s Degree in Accounting, Finance, or related field</li><li>Proven experience as an Accountant or similar role - 2 years or above</li><li>Strong knowledge of accounting principles and practices</li><li>Proficiency in accounting software (e.g., Tally, QuickBooks, SAP, MS Excel)</li><li>Excellent attention to detail and organizational skills</li><li>Ability to work independently and meet deadlines</li></ul><p><b>Benefits:</b></p><ul><li>Competitive salary package</li><li>Health insurance and other benefits</li><li>Career growth opportunities</li><li>Friendly and professional work environment</li></ul><p>Regards</p><p>Sanket</p><p>HR Manager</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Bachelor’s Degree in Accounting, Finance, or related field</li><li>Proven experience as an Accountant or similar role - 2 years or above</li><li>Strong knowledge of accounting principles and practices</li><li>Proficiency in accounting software (e.g., Tally, QuickBooks, SAP, MS Excel)</li><li>Excellent attention to detail and organizational skills</li><li>Ability to work independently and meet deadlines</li></ul><p><br></p></div>

Job Purpose<br><br>At Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always ‘Fly Better.’ As one of the most recognised and admired brands globally, we’re driven by innovation and excellence. Join us as a HR Specialist - Governance & Compliance and experience a fast-paced, multicultural environment where your ideas and expertise will help shape the future of aviation. Here, you’ll grow alongside professionals from diverse backgrounds, contributing to our shared success and making your mark on a global stage.<br><br>As HR Specialist - Governance & Compliance you will support the Governance & Compliance practices of the HR department by leveraging industry best practice. You will collaborate with all HR teams and other relevant internal stakeholders, such as Operations, Internal Audit and Enterprise Data & Analytics (ED&A). Through applying Governance and Compliance practices, the role’s primary purpose is to facilitate efficient and rewarding employee experiences across all people lifecycle dimensions, such as performance management, productivity, learning and professional development, attrition and retention. You will apply process improvement and standardisation frameworks, quality assurance (management & control) principles and continuous monitoring compliance controls across process, system, and data landscapes and support Enterprise Strategic Themes such as Regulatory Compliance, Business Agility & Efficiency, Business Growth, and Employee Experience.<br><br>In This Role, You Will<br><br>Enable process governance by conducting, in collaboration with the People Experience Design team, process landscape assessments across the People Experience lifecycle and the wider One HR organisation to determine process effectiveness, eliminate inefficiencies, and implement innovative solutions, including chatbots, AI-driven process steps, and Robotic Process Automation (RPA), while supporting the associated change management activities. Ensure all processes across the employee lifecycle are fully GDPR compliant and aligned with international best practices. Support industry research to identify best practices in process governance, automation, and business process improvement, while validating and collating current and future process, technology, and data needs across the One HR organisation. Champion a culture of autonomy, openness, and continuous process improvement based on Lean-Agile principles. Support the implementation of the One HR Data Governance Strategy, ensuring alignment with Emirates Group corporate governance and compliance requirements across Data Protection (Access, Security and Privacy), Data Quality Assurance, and Metadata Management. Perform data governance operational activities in collaboration with Enterprise Data & Analytics (ED&A), business Data Stewards, and Business Privacy Leads to ensure people data is governed effectively and treated as a corporate asset across HR systems and the Enterprise Data Platform (EDP). Support the HR Data & Analytics function in defining a self-service analytics model and enable data risk and compliance practices through collaboration with HR Data & Analytics and HR Shared Services & Employee Data Management teams. In collaboration with the HR Governance & Compliance Manager, implement and maintain an internal quality and control framework by evaluating process risk profiles, implementing appropriate controls, and continuously monitoring their effectiveness. Support knowledge management practices by maintaining People Experience manuals, Standard Operating Procedures (SOPs), and user-owned documentation, ensuring they remain accurate, compliant, and aligned with changing business requirements, system upgrades and process improvements. Facilitate the adoption of process and data governance across the One HR organisation through coaching, Lean Academy initiatives, Business Privacy Lead and Analytics Power User training, systems and SOP training, and data management best practices.<br><br>Qualification<br><br>To be considered for this role, you must meet the below requirements:<br><br>A minimum of 5 years' relevant experience in one or more of the following areas: Industrial Engineering, process improvement methodologies (e.g. Lean, Six Sigma, Supply Chain Management), project management, business consultancy, innovation and Robotic Process Automation (RPA), or compliance/audit within a business environment. Bachelor's degree in a relevant discipline, such as Industrial Engineering, Business Administration, Operational Research, Commerce, Finance, or Information Technology. Experience within the airline industry and/or working with HR systems and products is desirable.<br><br>You Will Have An Edge, If You Have<br><br>Proven ability to build trusted relationships and collaborate effectively across diverse teams and stakeholders. Strong stakeholder management, presentation, communication, and multitasking skills, with the ability to work across multiple departments and competing priorities. Knowledge of HR environments, Oracle ERP, or other leading HR systems, together with strong analytical skills and the ability to translate data into actionable business insights. Experience with analytics, data governance, and reporting tools such as Power BI, Micro Strategy, SAP Business Objects (SAP BO), SQL, and Python, along with experience working in a multicultural environment.<br><br>Emirates Group is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. Please ensure your CV is up to date for our talent acquisition team to review your profile. If you meet the criteria of the role, you will then be invited to complete a Hire Vue video interview, to share more about your experience and your career aspirations. If you are shortlisted, you will then be invited to interview with our hiring managers. If you are successful, your recruiter will reach out to you with an offer and then our Onboarding team will ensure a smooth transition to your new role at Emirates Group.<br><br>Salary & benefits<br><br>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.<br><br>You can find more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what it’s like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.