hr coordinator Jobs in Al Ayn United Arab Emirates

hr coordinator

marketing coordinator Jobs in Al Ayn United Arab Emirates

marketing coordinator

quality coordinator Jobs in Al Ayn United Arab Emirates

quality coordinator

research projects coordinator

United Arab Emirates University

Job Description
 
The Research Project Specialist plays a pivotal role in advancing the research agenda of the University through effective facilitation, coordination, and management of internal research initiatives within the Research and Sponsored Projects Office. This position requires a highly qualified individual with strong experience in research proposal writing, publications, and patents, who can provide both technical and administrative expertise to support faculty and researchers in achieving impactful outcomes.The Specialist will collaborate closely with academic departments, research centers, and administrative units to ensure that internally funded research projects are well-planned, efficiently executed, and successfully completed within defined timelines and budgetary frameworks. He/She will also contribute to building a strong research culture by supporting high-quality proposal submissions, monitoring research performance, and ensuring compliance with institutional and financial policies. Key Responsibilities • Review, update, and enhance guidelines for internal research proposal submissions. • Prepare and launch calls for proposals, conduct the initial screening of submitted proposals, and support the external review process. • Provide technical and administrative support to researchers in the development of proposals, publications, patents, and other research outputs. • Monitor project progress, including budget utilization, deliverables, publications, and outcomes, ensuring compliance with financial and research guidelines. • Support the organization and coordination of the University’s participation in major international exhibitions, research forums, and conferences under the Office of the Associate Provost for Research. • Attend administrative and technical meetings with researchers and contribute to Research Council discussions.
 
Minimum Qualification
 
 Master’s degree with comprehensive inter-personal and public communication skills  Excellent analytical skills.  Ability to work collaboratively in a multidisciplinary team, as well as independently, with strong organizational and project management skills.
 
Preferred Qualification
 
 Master’s degree with comprehensive inter-personal and public communication skills  Excellent analytical skills.  Ability to work collaboratively in a multidisciplinary team, as well as independently, with strong organizational and project management skills.
 
Expected Skills
 
 Ms. Office –Word, Excel, and PowerPoint, Photoshop  Project management skills.  Business and inter-personal communication skills.
 
Close Date Kindly apply before the closing date.
 
29/10/2025

Research Projects Coordinator

Specialized Medical Care Hospital

The Quality Coordinator is responsible for supporting and coordinating hospital-wide quality management, patient safety, and accreditation initiatives in alignment with the Department of Health (DOH) &ndash; Abu Dhabi standards. The role involves monitoring Key Performance Indicators (KPIs), conducting audits, supporting compliance with regulatory requirements, and driving continuous improvement across clinical and non-clinical departments. The coordinator facilitates training, risk assessments, and improvement projects while ensuring documentation and reporting are accurate and timely. Strong communication, data analysis, and organizational skills are essential to promote a culture of quality and patient safety.Job Type: Full-time

Quality Coordinator

Ritual Cafe

Role DescriptionThis is a full-time on-site role for an HR Coordinator, located in Al Ain. The HR Coordinator will be responsible for assisting with the recruitment process, onboarding new employees, maintaining employee records, and ensuring compliance with company policies. Additionally, the HR Coordinator will manage payroll processing, benefits administration, and employee relations. The role requires excellent communication skills and the ability to address employee concerns and inquiries effectively.Qualifications<ul><li>Experience in recruitment, onboarding, and employee records management</li><li>Knowledge of payroll processing and benefits administration</li><li>Strong understanding of employee relations and compliance with company policies</li><li>Excellent written and verbal communication skills</li><li>Ability to work in a team and interact with employees at all levels</li><li>Proficiency in HR software and Microsoft Office Suite</li><li>Bachelor's degree in Human Resources, Business Administration, or a related field</li><li>Previous experience in the hospitality or service industry is a plus</li></ul>Job Type: Full-timePay: From AED3,000.00 per month

HR Coordinator

Job Description
 
The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking an outstanding Postdoctoral Researcher to join its growing team focused on Artificial Intelligence, Natural Language Processing (NLP), and Large Language Model (LLM) research and deployment. The selected candidate will contribute to high-impact research and applied projects aimed at developing domain-specific, efficient, and explainable LLMs tailored to the UAE’s strategic sectors such as education, healthcare, and digital government. Working within one of the UAE’s leading AI research centers, the Postdoc will have access to state-of-the-art computing infrastructure, a multidisciplinary research environment, and collaboration opportunities with national and international partners. This position is ideal for researchers who wish to advance the frontier of AI and NLP and translate research into real-world, deployable systems that drive digital transformation in the region. Key Responsibilities: • Conduct cutting-edge research in machine learning, NLP, and LLM optimization (fine-tuning, distillation, quantization). • Develop and evaluate novel architectures, hybrid AI approaches, and explainable NLP systems. • Design and implement retrieval-augmented generation (RAG) and knowledge graph-enhanced LLM frameworks. • Collaborate with faculty, data engineers, and PhD/MSc students on research projects and publications. • Publish high-quality papers in top-tier journals and conferences (e.g., NeurIPS, KDD, etc.). • Support AI infrastructure setup, including GPU-based servers, data pipelines, and MLOps workflows. • Contribute to grant writing, proposal preparation, and project documentation. • Mentor junior researchers and contribute to training workshops or short courses.
 
Minimum Qualification
 
<ul>
<li>PhD in Computer Science, Artificial Intelligence, Data Science, or a closely related field. • Demonstrated research experience in machine learning, NLP, or deep learning. • Strong publication record in recognized AI/ML/NLP venues. • Proficiency in Python and major ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). • Solid understanding of transformer architectures, embeddings, and attention mechanisms. • Experience with data preprocessing, model training, and evaluation for text and multimodal datasets.</li>
</ul>
Preferred Qualification
 
<ul>
<li>Prior experience in LLM deployment on-premise or in secure, private environments. • Experience with multilingual NLP, especially Arabic-English or low-resource language modeling. • Proven track record of open-source contributions, patents, or applied AI projects. • Background in knowledge graphs, semantic search, or hybrid symbolic-neural AI. • Experience with cloud or HPC systems for large-scale model training (e.g., NVIDIA DGX, multi-GPU clusters). • Exposure to prompt engineering, RLHF (Reinforcement Learning from Human Feedback), or evaluation of generative AI systems.</li>
</ul>
Close Date Kindly apply before the closing date.
 
31/12/2025

Postdoctoral Fellow

Job Description
 
The Big Data Analytics Center (BIDAC) at UAE University is expanding its research and innovation team to advance the next generation of AI, Machine Learning, and Large Language Model (LLM) applications. The Center plays a national leadership role in AI research, data infrastructure, and digital transformation, supporting major UAE initiatives in smart government, education, and innovation. We are seeking highly motivated Data Engineers who will contribute to developing and deploying scalable AI and NLP systems, with a focus on LLM fine-tuning, optimization, and deployment in secure, domain-specific environments. This is an exceptional opportunity to work in a cutting-edge AI lab within a top research university, collaborating with multidisciplinary teams to deliver impactful projects that advance the UAE’s AI capabilities. Key Responsibilities: • Design, build, and maintain data pipelines, ETL workflows, and databases supporting AI/ML projects. • Develop and deploy LLMs and NLP pipelines for real-world use cases (education, government services, healthcare, etc.). • Conduct data preprocessing, cleaning, feature extraction, and model training for structured and unstructured data. • Fine-tune and optimize foundation models (GPT, LLaMA, Falcon, etc.) using domain-specific datasets. • Collaborate with research teams on AI model evaluation, interpretability, and explainability. • Integrate AI models with front-end applications, APIs, and databases for operational deployment. • Support research publications, grant proposals, and technical documentation under BIDAC initiatives.
 
Minimum Qualification
 
<ul>
<li>Bachelor’s degree (BSc) in Computer Science, AI, Data Science, Data Engineering, or a related field. • Strong programming skills in Python and experience with data processing libraries (Pandas, NumPy, PySpark, etc.). • Experience in machine learning model development using frameworks such as TensorFlow, PyTorch, or Scikit-Learn. • Solid understanding of data structures, algorithms, and statistical methods. • Experience working with databases (SQL/NoSQL) and cloud platforms (AWS, Azure, or GCP).</li>
</ul>
Preferred Qualification
 
<ul>
<li>Master’s degree in AI, Data Science or a related field. • Prior experience in LLM fine-tuning, distillation, or on-premises deployment (e.g., Falcon, LLaMA, Mistral). • Experience building knowledge graphs or retrieval-augmented generation (RAG) pipelines. • Knowledge of distributed computing (Spark, Dask, Ray) and data lake architectures. • Experience integrating AI systems into production-grade web or enterprise applications. • Contribution to open-source AI projects, or publications in high-impact AI/ML venues. • Understanding of Arabic NLP and bilingual (EN/AR) model development is a plus.</li>
</ul>
Expected Skills
 
<ul>
<li>Proficiency in NLP and LLM ecosystems, including tokenization, embeddings, transformers, and model fine-tuning. • Familiarity with LangChain, Hugging Face Transformers, and OpenAI / Anthropic / Cohere APIs. • Understanding of MLOps, containerization (Docker), and deployment tools (FastAPI, Streamlit, MLflow, etc.). • Strong knowledge of data versioning and reproducibility tools (DVC, Git, etc.). • Ability to handle large-scale, multi-modal datasets (text, audio, video, sensor data). • Excellent analytical and problem-solving skills with a research mindset. • Strong written and verbal communication skills for technical and interdisciplinary collaboration.</li>
</ul>
Close Date Kindly apply before the closing date.
 
31/12/2025

Data Engineer

Job Description
 
The Instructor in the Department of Obstetrics and Gynecology supports undergraduate medical education through clinical skills teaching, simulation-based instruction, and assessment coordination. The role integrates teaching, academic support, and applied research coordination within the department and aligns with CMHS educational policies and the UAEU vision of excellence in women’s health education. Key Responsibilities 1. Clinical and Educational Duties • Conduct structured clinical skills sessions for preclinical and clerkship medical students, including obstetrics, gynecological, and general clinical procedures. • Serve as OSCE and Mini-CEX examiner, ensuring objective, standardized evaluation. • Develop, pilot, and review clinical case scenarios and assessment rubrics for OSCE/Minicex stations in coordination with faculty. • Act as PBL (Problem-Based Learning) instructor in the urogenital and women’s health modules. • Supervise and evaluate student performance in simulated and real clinical environments, providing feedback and remediation plans for red-flag students. • Maintain assessment confidentiality and manage e-assessment tools (e.g., Blackboard, Speedwell). • Deliver simulation-based teaching using low- and high-fidelity manikins to reinforce safe clinical practice. • Participate in the community outreach and health-promotion programs of the department. 2. Academic and Research Support • Coordinate and monitor departmental research activities following CMHS research ethics and policy frameworks. • Support faculty and student research projects related to obstetrics, gynecology, nursing, and interprofessional collaboration. • Contribute to the preparation of educational and research manuscripts and conference abstracts. 3. Student Mentoring and Advising • Serve as academic advisor for OB/Gyn clerkship students, identifying at-risk learners and implementing support interventions. • Promote professionalism, teamwork, and interprofessional communication in all student interactions. 4. Educational Resource Development • Design, review, and update learning materials, practical guides, and e-modules for clinical and preclinical teaching. • Ensure alignment of all teaching materials with ACGME-I, CMHS, and UAEU curriculum outcomes. 5. Administrative and Quality Roles • Support course coordination, data entry, and evaluation logistics within the department. • Participate in quality assurance and accreditation processes (CAA, LCME, ACGME-I). • Document teaching activities, student evaluations, and feedback in compliance with departmental standards.
 
Minimum Qualification
 
Relevant postgraduate qualification in Nursing, Health Sciences, or a related clinical education field at least master’s degree. • Valid professional licensure in the UAE or home country. • Recognized certification(s) in life support, simulation-based education, or clinical teaching (preferred). • Valid 4-5 years experience in undergraduate/postgraduate and public education.
 
Preferred Qualification
 
as above
 
Expected Skills
 
<ul>
<li>Clinical teaching, OSCE design, and simulation pedagogy. • Curriculum integration across preclinical and clerkship levels. • Student evaluation and remediation strategies. • Educational technology (Blackboard, Speedwell, simulation lab systems). • Research coordination and manuscript preparation. • Effective communication, time management, and leadership skills. • Bilingual fluency in Arabic and English for teaching and documentation.</li>
</ul>
Close Date Kindly apply before the closing date.
 
31/01/2026

Instructor in Obstetrics & Gynecology

Job Description
 
The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking a talented and motivated Software Developer to support the design, development, and deployment of advanced AI-driven platforms and data applications. This position offers an exceptional opportunity to work in an interdisciplinary environment at the intersection of Artificial Intelligence, Natural Language Processing (NLP), and software engineering. The successful candidate will collaborate with data scientists, researchers, and engineers to translate cutting-edge AI research including Large Language Model (LLM) innovations into scalable, secure, and user-friendly systems. The role is ideal for developers who are passionate about AI productization, system integration, and building digital solutions that advance the UAE’s AI and digital transformation vision. Key Responsibilities: • Design, develop, and maintain web and software applications for AI and data-driven projects at BIDAC. • Build and integrate APIs for AI/ML model deployment, data pipelines, and backend services. • Collaborate with AI researchers to implement LLM-based systems, chatbots, and process automation tools. • Develop front-end interfaces and dashboards using modern frameworks (e.g., React, or Dash). • Implement secure data access layers and ensure compliance with UAEU’s data governance policies. • Contribute to the design and deployment of MLOps and DevOps pipelines for production AI applications. • Write clean, maintainable, and well-documented code following best practices. • Work with cross-functional teams to deploy solutions on cloud and on-premise environments. • Support the development of AI-powered educational, research, and administrative tools. • Participate in technical documentation, testing, and version control using Git/GitHub.
 
Minimum Qualification
 
<ul>
<li>Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field. • Proven experience in Python, JavaScript, or TypeScript. • Experience with web frameworks (e.g., Flask, FastAPI, Django) and front-end libraries (React, Vue, or Angular). • Understanding of RESTful API design, JSON, and database integration (MySQL, PostgreSQL, or MongoDB). • Strong problem-solving and debugging skills with attention to performance and scalability.</li>
</ul>
Preferred Qualification
 
<ul>
<li>Master’s degree in Computer Science, AI, or Software Engineering. • Experience with LLM deployment, fine-tuning, or integration (e.g., LangChain, RAG systems). • Familiarity with MLOps frameworks (MLflow, DVC) and AI application deployment. • Prior experience developing AI dashboards, data visualization tools, or analytics platforms. • Contribution to open-source projects or experience in AI startup / research environments. • Knowledge of Arabic NLP or bilingual (English/Arabic) AI applications is a plus.</li>
</ul>
Expected Skills
 
<ul>
<li>Familiarity with AI/ML model integration and LLM APIs (OpenAI, Hugging Face, Anthropic, etc.). • Experience developing Gradio, or Flask-based AI interfaces. • Ability to work across backend, frontend, and data layers (full-stack orientation preferred). • Understanding of cloud services (AWS, Azure, or GCP) and container orchestration (Kubernetes). • Knowledge of data processing, API authentication, and secure data exchange protocols. • Strong communication, teamwork, and documentation skills. • A proactive and innovative mindset with a passion for applying software to solve real-world problems.</li>
</ul>
Close Date Kindly apply before the closing date.
 
31/12/2025

Software Engineer

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