Jobs For Faculty Of Education Graduates - Dubai UAE

Job Title: Senior Network Engineer Location: Dubai, UAEDepartment: Group IT<br>Key Responsibilities: Design, build, and model secure enterprise LAN/WAN configurations, including routing, switching, firewalls, VPNs, and SD-WANTeam Leadership: Lead, mentor, and train a team of network engineers, delegating tasks and conducting performance reviews Assist in Security Monitoring: Support the monitoring of network security devices, including firewalls, intrusion detection/prevention systems (IDPS), and security information and event management (SIEM) tools. Help analyze security alerts and incidents to identify potential threats. Assist in Firewall Management: Aid in the configuration, maintenance, and troubleshooting of firewall devices. Learn about firewall policies, rule sets, and access control lists (ACLs) to ensure the security of network traffic. Security Policy Development: Develop and enforce security policies and procedures related to firewall management, access control, and network security best practices. Ensure compliance with industry standards and regulatory requirements. Incident Response and Forensics: Respond to security incidents, conduct forensic analysis, and mitigate the impact of security breaches. Collaborate with other IT teams and stakeholders to resolve security incidents in a timely manner. Security Auditing and Compliance: Perform regular security audits and assessments to evaluate the effectiveness of firewall configurations and security controls. Maintain documentation and records of security audits for compliance purposes. Risk Assessment and Vulnerability Management: Identify potential security risks and vulnerabilities in the network infrastructure. Implement remediation measures to address security weaknesses and reduce the organization's exposure to cyber threats. Security Documentation and Reporting: Assist in maintaining documentation of security configurations, policies, and incident response procedures. Help prepare reports on security incidents, vulnerabilities, and compliance status for management and stakeholders. Collaboration and Knowledge Sharing: Collaborate with other IT teams to ensure the integration of security measures into network operations and infrastructure. Share knowledge and best practices with colleagues to enhance the organization's overall security posture Responsibilities<br>Key Requirements | Education:Bachelors of Engineering (B. E) or Bachelor of Technology (B. Tech) – Mandatory<br>Work Experience:6+ years in IT network.<br>Skills:Technical Skills: Solid understanding of networking concepts such as TCP/IP, routing, switching, and subnetting. Familiarity with network protocols and tools used for monitoring and troubleshooting. Proficiency in firewall technologies and security principles, including but not limited to Fortinet, Cisco ASA, Palo Alto Networks, Check Point, Juniper etc Basic Security Knowledge: Basic understanding of cybersecurity principles and concepts, including confidentiality, integrity, and availability (CIA). Interest in learning more about network security technologies, threats, and best practices. Analytical Skills: Ability to analyse security logs, alerts, and network traffic data to identify potential security incidents or anomalies. Strong problem-solving skills and attention to detail are essential for troubleshooting security issues. Team Management: Should have led a team. Good communication skills to interact effectively with peers and Managers. Curiosity and Learning Agility: Eagerness to learn and develop skills in cybersecurity, particularly in firewall management and security operations. Willingness to pursue relevant training, certifications, and self-study opportunities. Time Management and Adaptability: Ability to manage multiple tasks and priorities effectively in a dynamic environment. Willingness to adapt to changing requirements and deadlines as needed. Professionalism and Integrity: Commitment to upholding ethical standards and maintaining the confidentiality and security of sensitive information. Demonstrated integrity and professionalism in all interactions and responsibilities. Competencies Organising, problem-solving, communication, collaboration, service orientation.

<p>Position Title: Nanny / Childcare Provider</p><p>Location: Private Residence – Jumeirah Bay, Dubai, UAE</p><p>Reports To: Principal / House Manager / Authorized Representative</p><p>Department: Childcare & Household Support</p><p>Position Overview</p><p>The Nanny / Childcare Provider is responsible for providing attentive, nurturing, and professional</p><p>care for the child within the residence. The role focuses on ensuring the child’s physical safety,</p><p>emotional wellbeing, and developmental growth while maintaining a structured and supportive</p><p>environment aligned with the family’s values and lifestyle.</p><p>The Nanny must demonstrate patience, kindness, discretion, and professionalism while ensuring</p><p>that the child receives consistent care, attention, and supervision at all times. This position</p><p>requires the ability to adapt to the family’s routine, maintain a safe environment, and work</p><p>cooperatively with other household staff.</p><p>Key Responsibilities</p><ol><li><p>Childcare and Daily Care</p></li></ol><ul><li><p>Provide attentive care and supervision to the child at all times to ensure safety and wellbeing.</p></li><li><p>Assist with daily routines including feeding, sleeping schedules, bathing, dressing, and general</p></li></ul><p>care.</p><ul><li><p>Prepare feeding bottles and ensure proper hygiene and sterilization of feeding equipment.</p></li><li><p>Support the introduction of age-appropriate foods according to parental guidance.</p></li><li><p>Monitor the child’s comfort, mood, and behavior throughout the day.</p></li><li><p>Provide comfort and support during teething, illness, or other developmental stages.</p></li></ul><ol><li><p>Health, Hygiene and Safety</p></li></ol><ul><li><p>Maintain the highest standards of hygiene when caring for the child and handling baby items.</p></li><li><p>Ensure the nursery, play areas, and baby equipment are clean, organized, and sanitized.</p></li><li><p>Maintain a safe environment by ensuring appropriate childproofing measures are followed.</p></li><li><p>Monitor the child’s health and immediately inform the parents or House Manager if any</p></li></ul><p>unusual symptoms or concerns arise.</p><ul><li><p>Administer medications or supplements only as instructed by the parents or medical</p></li></ul><p>professionals.</p><ol><li><p>Developmental and Educational Activities</p></li></ol><ul><li><p>Engage the child in age-appropriate activities that encourage cognitive, physical, and emotional</p></li></ul><p>development.</p><ul><li><p>Support learning through reading, storytelling, singing, and interactive play.</p></li><li><p>Encourage sensory play and educational activities appropriate to the child’s developmental</p></li></ul><p>stage.</p><ul><li><p>Provide a nurturing and stimulating environment that supports the child’s growth and curiosity.</p></li><li><p>Communicate any developmental milestones or progress to the parents.</p></li></ul><ol><li><p>Nursery and Child-Related Organization</p></li></ol><ul><li><p>Maintain an organized nursery and ensure baby clothing, toys, and equipment are properly</p></li></ul><p>arranged and stored.</p><ul><li><p>Handle baby laundry including washing, ironing, folding, and organizing clothing and linens.</p></li><li><p>Ensure all baby items are clean, safe, and ready for daily use.</p></li><li><p>Monitor and maintain stock of baby essentials such as diapers, wipes, formula, creams, and</p></li></ul><p>other necessary supplies.</p><ol><li><p>Travel Support</p></li></ol><ul><li><p>Accompany the family on domestic or international travel when required.</p></li><li><p>Ensure the child’s routine is maintained during travel as much as possible.</p></li><li><p>Prepare and organize all necessary baby supplies for travel including clothing, feeding items,</p></li></ul><p>medical essentials, and comfort items.</p><ul><li><p>Maintain the child’s safety and comfort during travel and in unfamiliar environments.</p></li></ul><ol><li><p>Communication and Coordination</p></li></ol><ul><li><p>Provide regular updates to the parents regarding the child’s activities, mood, feeding, and sleep</p></li></ul><p>routines.</p><ul><li><p>Communicate important information to the household team when necessary for the child’s</p></li></ul><p>wellbeing.</p><ul><li><p>Maintain clear and respectful communication with parents and other household staff members.</p></li><li><p>Ensure smooth coordination with the House Manager and other staff when needed.</p></li></ul><ol><li><p>Professional Conduct and Confidentiality</p></li></ol><ul><li><p>Maintain strict confidentiality regarding all matters related to the family, child, and household.</p></li><li><p>Demonstrate professionalism, patience, and a caring attitude at all times.</p></li><li><p>Respect the family’s cultural values, traditions, and household protocols.</p></li><li><p>Maintain a neat, professional appearance in accordance with household standards.</p></li><li><p>Report any safety concerns or issues affecting the child or household immediately to the</p></li></ul><p>appropriate authority.</p><ol><li><p>Additional Duties</p></li></ol><ul><li><p>Assist with child-related household tasks when required.</p></li><li><p>Support the child’s daily routine and activities to ensure a comfortable and stable environment.</p></li><li><p>Perform other reasonable duties related to childcare as requested by the parents or authorized</p></li></ul><p>household representative.</p><p><strong>Desired Candidate Profile</strong></p><p>Professional Standards</p><p>The Nanny / Childcare Provider must demonstrate:</p><ul><li><p>A nurturing, calm, and patient personality</p></li><li><p>High attention to safety and hygiene</p></li><li><p>Professional conduct and discretion</p></li><li><p>Reliability and responsibility in childcare duties</p></li><li><p>Respectful cooperation with the household team</p></li></ul><p>All duties must always be performed in the best interest, safety, and wellbeing of the child and</p><p>the family.</p>

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.

<p><h4>About Four Seasons:</h4> <p>Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.</p> <p>At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.</p> <h4>About the location:</h4> <p>The Four Seasons Resort Dubai at Jumeirah Beach with its unparalleled location, fresh approach to luxury and legendary personalized service, has exceeded the high expectations in the ultra-competitive Dubai market. At Four Seasons we believe that our most important asset is our team of employees. The Four Seasons has a tremendous commitment to the development and training of all employees. We ensure that the best packages and finest management structure are in place to guarantee a stable environment in which development is second nature for our employees. Successful Four Seasons candidates will be offered a once-in-a-lifetime opportunity rich in personal and professional growth.</p> <p>Four Seasons Dubai at Jumeirah Beach includes five outlet options - from the beachfront Sea Fu restaurant to the rooftop Mercury Lounge, and it includes 237 Dubai luxury hotel rooms – including 49 suites. Subtle Arabic design motifs blend with cool, contemporary style, featuring soft backgrounds of blue or green. Dubai is the second largest of the seven Emirates that make up the United Arab Emirates. Dubai is located on the southern shore of the Arabian Gulf and has a subtropical, arid climate.</p> <h4>What you will do</h4> <ul> <li>Ensure critical systems, specifically Front Office Property Management System, Call Accounting, HSIA, PABX and Food & Beverage Point of Sales computer systems are available twenty-four (24) hours per day.</li> <li>Establish and maintain user procedures and hardware familiarization for all systems.</li> <li>Provide administration services, to include contribution to technology capital and operating budgets.</li> <li>Provide systems administration, including maintaining user and group accounts, user configuration, troubleshooting access problems and completion of on-site documentation.</li> <li>Assist in server infrastructure management, performance monitoring, operating system upgrades and troubleshooting.</li> <li>Ensure effective support for other systems, including back office, sales and catering and human resources applications and any other at the property.</li> <li>Provide system support services, including service outage diagnosis, troubleshooting and restoration of service, virus protection management.</li> <li>Maintain and promote Four Seasons core technology standards as outlined in the Four Seasons IT Core Standards.</li> <li>Assist in the coordination of new acquisitions and major projects as required.</li> <li>Participate in property-level, corporate-initiated technology implementations.</li> <li>Good knowledge and support for desktop operating systems and applications including patches.</li> <li>Provide direct guest support and quality support to function rooms and conference services.</li> <li>Assist in the process of systems backup and recovery procedures.</li> <li>Assist in management of third party vendors.</li> <li>Provide 24/7 support for mission critical systems.</li> <li>Assist at network support and security of hotel network, active directory maintenance.</li> </ul> <h4>What you will bring</h4> <ul> <li>A bachelor's or master's degree in computer science, information technology, or a related field is often preferred.</li> <li>A minimum of 5-7 years of experience in the IT industry, with at least 2-3 years in a leadership role, preferably within the hospitality sector.</li> <li>Strong knowledge of IT systems, infrastructure, network management, and cybersecurity. Familiarity with hotel property management systems (PMS), point-of-sale (POS) systems, and other hotel-specific technologies is highly beneficial.</li> <li>Exceptional leadership and team management skills, with the ability to inspire and guide IT teams in achieving organizational goals.</li> <li>Excellent written and verbal communication skills, enabling effective interaction with both technical and non-technical staff, as well as hotel guests.</li> <li>Strong analytical and problem-solving abilities to identify and resolve complex IT issues efficiently.</li> <li>Capacity to adapt to evolving technologies and industry trends, ensuring the hotel remains at the forefront of innovation.</li> <li>A commitment to delivering outstanding customer service, ensuring that the IT department contributes to an exceptional guest experience.</li> <li>Excellent interpersonal skills to collaborate effectively with various departments and maintain positive relationships with internal and external stakeholders.</li> <li>Superb organizational and time-management skills, enabling the ability to prioritize tasks and meet deadlines in a fast-paced environment.</li> <li>Knowledge of Arabic language is essential.</li> </ul> <h4>What we offer</h4> <ul> <li>Employment visa</li> <li>Competitive salary and live out allowance</li> <li>Medical and life insurance</li> <li>Annual flight allowance to home country</li> <li>Complimentary meals in dedicated employee restaurant</li> <li>Career advancement opportunities</li> <li>Best-in-industry training</li> </ul></p><p></p>

<p><h4>About Four Seasons:</h4> <p>Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.</p> <p>At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.</p> <h4>About the location:</h4> <p>The Four Seasons Resort Dubai at Jumeirah Beach with its unparalleled location, fresh approach to luxury and legendary personalized service, has exceeded the high expectations in the ultra-competitive Dubai market. At Four Seasons we believe that our most important asset is our team of employees. The Four Seasons has a tremendous commitment to the development and training of all employees. We ensure that the best packages and finest management structure are in place to guarantee a stable environment in which development is second nature for our employees. Successful Four Seasons candidates will be offered a once-in-a-lifetime opportunity rich in personal and professional growth.</p> <p>Four Seasons Dubai at Jumeirah Beach includes five outlet options - from the beachfront Sea Fu restaurant to the rooftop Mercury Lounge, and it includes 237 Dubai luxury hotel rooms – including 49 suites. Subtle Arabic design motifs blend with cool, contemporary style, featuring soft backgrounds of blue or green. Dubai is the second largest of the seven Emirates that make up the United Arab Emirates. Dubai is located on the southern shore of the Arabian Gulf and has a subtropical, arid climate.</p> <h4>What you will do</h4> <ul> <li>Ensure critical systems, specifically Front Office Property Management System, Call Accounting, HSIA, PABX and Food & Beverage Point of Sales computer systems are available twenty-four (24) hours per day.</li> <li>Establish and maintain user procedures and hardware familiarization for all systems.</li> <li>Provide administration services, to include contribution to technology capital and operating budgets.</li> <li>Provide systems administration, including maintaining user and group accounts, user configuration, troubleshooting access problems and completion of on-site documentation.</li> <li>Assist in server infrastructure management, performance monitoring, operating system upgrades and troubleshooting.</li> <li>Ensure effective support for other systems, including back office, sales and catering and human resources applications and any other at the property.</li> <li>Provide system support services, including service outage diagnosis, troubleshooting and restoration of service, virus protection management.</li> <li>Maintain and promote Four Seasons core technology standards as outlined in the Four Seasons IT Core Standards.</li> <li>Assist in the coordination of new acquisitions and major projects as required.</li> <li>Participate in property-level, corporate-initiated technology implementations.</li> <li>Good knowledge and support for desktop operating systems and applications including patches.</li> <li>Provide direct guest support and quality support to function rooms and conference services.</li> <li>Assist in the process of systems backup and recovery procedures.</li> <li>Assist in management of third party vendors.</li> <li>Provide 24/7 support for mission critical systems.</li> <li>Assist at network support and security of hotel network, active directory maintenance.</li> </ul> <h4>What you will bring</h4> <ul> <li>A bachelor's or master's degree in computer science, information technology, or a related field is often preferred.</li> <li>A minimum of 5-7 years of experience in the IT industry, with at least 2-3 years in a leadership role, preferably within the hospitality sector.</li> <li>Strong knowledge of IT systems, infrastructure, network management, and cybersecurity. Familiarity with hotel property management systems (PMS), point-of-sale (POS) systems, and other hotel-specific technologies is highly beneficial.</li> <li>Exceptional leadership and team management skills, with the ability to inspire and guide IT teams in achieving organizational goals.</li> <li>Excellent written and verbal communication skills, enabling effective interaction with both technical and non-technical staff, as well as hotel guests.</li> <li>Strong analytical and problem-solving abilities to identify and resolve complex IT issues efficiently.</li> <li>Capacity to adapt to evolving technologies and industry trends, ensuring the hotel remains at the forefront of innovation.</li> <li>A commitment to delivering outstanding customer service, ensuring that the IT department contributes to an exceptional guest experience.</li> <li>Excellent interpersonal skills to collaborate effectively with various departments and maintain positive relationships with internal and external stakeholders.</li> <li>Superb organizational and time-management skills, enabling the ability to prioritize tasks and meet deadlines in a fast-paced environment.</li> <li>Knowledge of Arabic language is essential.</li> </ul> <h4>What we offer</h4> <ul> <li>Employment visa</li> <li>Competitive salary and live out allowance</li> <li>Medical and life insurance</li> <li>Annual flight allowance to home country</li> <li>Complimentary meals in dedicated employee restaurant</li> <li>Career advancement opportunities</li> <li>Best-in-industry training</li> </ul></p><p></p>