وظائف لحملة الماجستير

<ol><li><p>AI Use Case Definition & Impact Framing</p></li></ol><ul><li><p>Identify, qualify, and refine AI use cases across business units using structured frameworks and value-mapping techniques.</p></li><li><p>Formulate clear, well-structured problem statements and define success criteria aligned to efficiency, customer experience, or revenue growth.</p></li><li><p>Assess use case feasibility based on technical complexity, data availability, integration needs, and business readiness.</p></li></ul><ol><li><p>Documentation & Analysis</p></li></ol><ul><li><p>Translate complex business problems into AI requirements and solution hypotheses.</p></li><li><p>Prepare high-quality business cases, value assessments, process flows, and technical documentation to support experimentation and implementation.</p></li><li><p>Collaborate with data scientists, solution architects, and platform leads to validate solution approaches and ensure technical fit.</p></li></ul><ol><li><p>Stakeholder Engagement & Communication</p></li></ol><ul><li><p>Facilitate cross-functional workshops with business units, IT, and Digital teams to surface pain points and explore AI opportunities.</p></li><li><p>Clearly communicate AI concepts, limitations, and trade-offs to non-technical stakeholders in a way that drives alignment and action.</p></li><li><p>Act as the voice of the user in solution design — ensuring outcomes are human-centric, ethical, and usable.</p></li></ul><ol><li><p>Critical Thinking & Conceptual Rigor</p></li></ol><ul><li><p>Analyze processes, data flows, and decision points to pinpoint where AI can generate meaningful business impact.</p></li><li><p>Apply systems thinking and root cause analysis to ensure AI interventions are both sustainable and scalable.</p></li><li><p>Evaluate and prioritize ideas using scoring models, effort/impact grids, and strategic alignment checks.</p></li></ul><ol><li><p>AI Knowledge Integration</p></li></ol><ul><li><p>Stay up to date with the latest in generative AI, machine learning, LLMs, semantic search, RPA, and Microsoft AI tools (e.g., Azure AI, Copilot Studio).</p></li><li><p>Contribute to refining the organisation's AI playbook, use case library, and intake methodology.</p></li><li><p>Consider business use case alignment with the organisation's AI operating model and the organisation's enterprise architecture.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Business, Computer Science, Data Analytics, or a related field.</p></li></ul><p>Master's degree is a plus.</p><ul><li><p>3–6 years’ experience in business analysis, with at least 2 years supporting AI, analytics, or digital transformation projects.</p></li><li><p>Strong foundational understanding of AI concepts including machine learning, NLP, LLMs, vector databases, RAG, and prompt engineering.</p></li><li><p>Experience working within Microsoft’s AI and productivity ecosystem (Azure AI, Microsoft 365, Power Platform, Copilot).</p></li><li><p>Proven ability to document and present complex ideas in a clear, engaging, and executive-friendly format.</p></li></ul><br><p>Skills AI concepts Business analysis Stakeholder engagement</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><span>Provides specialized advisory services and support in the development and review of institutional strategies and plans, ensuring their alignment with the strategic directions and priorities of the Emirate of Dubai and the organization. Conducts strategic analyses and studies to identify challenges and opportunities, evaluate strategic performance, and support data-driven decision-making. Additionally, contributes to the development of strategic objectives, initiatives, and indicators, monitors their implementation, and measures target achievement and impact. Also provides technical advice to relevant departments on developing institutional performance, improving strategy execution efficiency, and enhancing integration among plans and initiatives.</span></span></p><br><p><span><span>1.</span><span>Provide strategic consulting to departments and organizational units regarding the development and review of strategies, plans, and objectives in alignment with the strategic directions and priorities of the organization.</span></span></p><br><p><span><span>2.</span><span>Conduct strategic studies and analyses, and analyze data and indicators to identify challenges, opportunities, and factors influencing the achievement of strategic objectives, and provide appropriate recommendations.</span></span></p><br><p><span><span>3.</span><span>Contribute to the preparation and development of institutional strategy, strategic plans, and operational plans, ensuring their consistency and linkage with relevant government priorities.</span></span></p><br><p><span><span>4.</span><span>Review and develop strategic objectives, initiatives, and performance indicators, ensuring they are measurable and linked to expected targets and outcomes.</span></span></p><br><p><span><span>5.</span><span>Monitor the implementation of strategic plans and initiatives, analyze progress and achievement levels, identify deviations and challenges, and propose corrective and improvement actions.</span></span></p><br><p><span><span>6.</span><span>Prepare periodic strategic reports and analyses illustrating performance levels and target achievement, and submit recommendations that support strategic decision-making.</span></span></p><br><p><span><span>7.</span><span>Analyze best practices, future trends, and relevant comparative studies, and evaluate their applicability to contribute to the development of the organization's strategy and performance.</span></span></p><br><p><span><span>8.</span><span>Support strategic planning and risk/opportunity management processes by analyzing scenarios and changes affecting the organization's operations and proposing appropriate measures to handle them.</span></span></p><br><p><span><span>9.</span><span>Provide advisory support in developing and improving institutional performance, enhancing integration between strategy, initiatives, and operational plans, and participate in relevant task forces and committees.</span></span></p><br><p><span><span>10.</span><span>Perform other job-related duties and responsibilities as assigned.</span></span></p><br> <p><span><span><strong>Qualifications &amp; Experience:</strong> Bachelor's degree with 11 years of experience, or Master's degree with 9 years of practical experience.</span></span></p><br><p><span><span><strong>Specialization: </strong>Strategic Planning, Public Administration, Institutional Performance Management, or any related fields from an accredited university.</span></span></p><br> </div>

<ul><li><p>The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics.</p><p><br><strong>What You Will Do:</strong></p><ul><li><p>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</p></li><li><p>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</p></li><li><p>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</p></li><li><p>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</p></li><li><p>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</p></li><li><p>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</p></li><li><p>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</p></li><li><p>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Required Skills To Be Successful:</strong></p><ul><li><p>Advanced machine learning model development and optimization skills.</p></li><li><p>Expertise in Generative AI techniques for demand forecasting.</p></li><li><p>Proficiency in MLOps practices and model deployment pipelines.</p></li><li><p>Strong communication and collaboration abilities with cross-functional teams.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong></p><ul><li><p>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</p></li><li><p>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</p></li><li><p>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</p></li></ul><br></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<p>We are seeking an experienced Senior MERN Developer to join our development team. The successful candidate will have a strong background in building complex web applications using MongoDB, ExpressJS, ReactJS, Next.js, RTK, and NodeJS. As a Senior MERN Developer, you will be responsible for leading the development of new features, maintaining and improving the existing codebase, and ensuring the highest level of code quality. Key Responsibilities:</p><p>• Design, develop, and maintain web applications using MERN stack with Next.js and RTK.</p><p>• Develop high-quality, reusable, and maintainable code.</p><p>• Collaborate with the development team to define, design, and ship new features.</p><p>• Participate in code reviews, testing, and deployment.</p><p>• Continuously improve code quality, development processes, and tools.</p><p>• Troubleshoot and debug issues with the application.</p><p>• Optimize web applications for maximum speed and scalability.</p><p>• Develop and maintain technical documentation.</p><p><strong>Desired Candidate Profile</strong></p><p>Requirements:</p><p>• 5+ years of experience in developing web applications using MERN stack with Next.js and RTK.</p><p>• Strong proficiency in JavaScript, HTML, CSS, and related web technologies.</p><p>• Experience in building complex and scalable web applications using MongoDB, ExpressJS, ReactJS, Next.js, RTK, and NodeJS.</p><p>• Solid understanding of server-side rendering and client-side rendering with Next.js.</p><p>• Knowledge of NodeJS frameworks like Express, Koa, or Hapi.</p><p>• Experience with state management libraries like Redux or MobX.</p><p>• Familiarity with web development tools such as NPM, Webpack, Babel, etc.</p><p>• Experience with Git version control system and related workflows.</p><p>• Understanding of database design, query optimization, and performance tuning.</p><p>• Experience in designing and implementing RESTful APIs.</p><p>• Ability to write unit tests and perform automated testing.</p><p>• Good understanding of Agile software development methodologies.</p><p>• Strong problem-solving skills and ability to work independently.</p><p>• Must have experience in Team Handling and project delivery</p><p>• Excellent written and verbal communication skills.</p><p><br>Education: Any Bachelor's or Master's degree in Computer Science, Software Engineering or related field. As a Senior MERN Developer, you will be a key member of our development team and contribute to the success of our company. If you are passionate about building high-quality web applications and have the skills and experience required for this position, please apply today.</p>

<p>We are seeking an experienced Senior MERN Developer to join our development team. The successful candidate will have a strong background in building complex web applications using MongoDB, ExpressJS, ReactJS, Next.js, RTK, and NodeJS. As a Senior MERN Developer, you will be responsible for leading the development of new features, maintaining and improving the existing codebase, and ensuring the highest level of code quality. Key Responsibilities:</p><p>• Design, develop, and maintain web applications using MERN stack with Next.js and RTK.</p><p>• Develop high-quality, reusable, and maintainable code.</p><p>• Collaborate with the development team to define, design, and ship new features.</p><p>• Participate in code reviews, testing, and deployment.</p><p>• Continuously improve code quality, development processes, and tools.</p><p>• Troubleshoot and debug issues with the application.</p><p>• Optimize web applications for maximum speed and scalability.</p><p>• Develop and maintain technical documentation.</p><p><strong>Desired Candidate Profile</strong></p><p>Requirements:</p><p>• 5+ years of experience in developing web applications using MERN stack with Next.js and RTK.</p><p>• Strong proficiency in JavaScript, HTML, CSS, and related web technologies.</p><p>• Experience in building complex and scalable web applications using MongoDB, ExpressJS, ReactJS, Next.js, RTK, and NodeJS.</p><p>• Solid understanding of server-side rendering and client-side rendering with Next.js.</p><p>• Knowledge of NodeJS frameworks like Express, Koa, or Hapi.</p><p>• Experience with state management libraries like Redux or MobX.</p><p>• Familiarity with web development tools such as NPM, Webpack, Babel, etc.</p><p>• Experience with Git version control system and related workflows.</p><p>• Understanding of database design, query optimization, and performance tuning.</p><p>• Experience in designing and implementing RESTful APIs.</p><p>• Ability to write unit tests and perform automated testing.</p><p>• Good understanding of Agile software development methodologies.</p><p>• Strong problem-solving skills and ability to work independently.</p><p>• Must have experience in Team Handling and project delivery</p><p>• Excellent written and verbal communication skills.</p><p><br>Education: Any Bachelor's or Master's degree in Computer Science, Software Engineering or related field. As a Senior MERN Developer, you will be a key member of our development team and contribute to the success of our company. If you are passionate about building high-quality web applications and have the skills and experience required for this position, please apply today.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>We are currently looking for AI Solutions Engineer for (Offshore/Onsite) our UAE operations with the following terms &amp; conditions.</p><br><p>Qualifications:</p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p>Experience:</p><br><p>• Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</p><br><p>• Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</p><br><p>• Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</p><br><p>• Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</p><br><p>Technical Skills:</p><br><p>• Proficient in programming languages such as Python, Java, or C++.</p><br><p>• Familiarity with data pipeline tools and frameworks</p><br><p>• Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</p><br><p>• Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</p><br><p>• Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</p><br><p>• Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</p><br><p>Soft Skills:</p><br><p>• Strong analytical and problem-solving skills.</p><br><p>• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</p><br><p>• Leadership experience and the ability to work effectively in cross-functional teams.</p><br><p>• Detail-oriented and focused on delivering high-quality, scalable solutions.</p><br><p>Data &amp; Integration:</p><br><p>• Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</p><br><p>• Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</p><br><p>Experience: 6 to 8 Years</p><br><p>Preferred Qualifications:</p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.</p><br><p>Knowledge of AI ethics and bias mitigation strategies.</p><br><p>Terms and conditions</p><br><p>Joining time frame: Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<ul><li>Design, implement, and manage robust network architectures within Kubernetes clusters, ensuring high availability and low latency.</li><li>Develop and enforce granular network security policies using Kubernetes Network Policies, Calico, or other CNI-specific security features.</li><li>Configure and maintain Ingress controllers and service meshes (e.g., Istio, Linkerd) for secure and efficient traffic management.</li><li>Implement and manage secrets management solutions (e.g., HashiCorp Vault, Kubernetes Secrets) to protect sensitive data.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.</p></li><li><p>5+ years of experience in network engineering and cybersecurity, with at least 2 years focused on Kubernetes.</p></li><li><p>Proven expertise in Kubernetes networking concepts (CNI, Services, Ingress, Network Policies).</p></li><li><p>Hands-on experience with security tools and practices like firewalls, IDS/IPS, WAFs, and vulnerability scanning.</p></li><li><p>Network Architecture and Design</p><ul><li><p>Develop high-level and low-level network designs for segmented enterprise platforms.</p></li><li><p>Design inbound and outbound DMZs, trusted application zones, and management, operations, backup, and data</p></li></ul><p>networks.</p><ul><li><p>Define VLANs, subnets, gateways, route tables, firewall boundaries, NAT, DNS, and IP-address allocations.</p></li><li><p>Apply default-deny segmentation and permit only approved source, destination, protocol, and port combinations.</p></li><li><p>Prepare architecture diagrams, traffic flows, communication matrices, allocation registers, and implementation records.</p></li></ul><p>RHEL and KVM Virtualization</p><ul><li><p>Design and administer RHEL-based KVM environments, Open vSwitch or Linux bridges, and VLAN-backed virtual</p></li></ul><p>interfaces.</p><ul><li><p>Create isolated hypervisor-only networks and map VM interfaces to approved bridges, VLANs, and port groups.</p></li><li><p>Implement virtual firewall and Layer 3 routing services while separating management from application traffic.</p></li></ul><p>Kubernetes Network and Security Engineering</p><ul><li><p>Design separate public-facing and private Kubernetes worker groups and enforce appropriate workload placement.</p></li><li><p>Implement default-deny NetworkPolicies, namespace isolation, controlled service/DNS exposure, and explicit ingress and</p></li></ul><p>egress.</p><ul><li><p>Protect control-plane and node-management interfaces and prevent workloads from bypassing approved gateways and</p></li></ul><p>firewalls.</p><p>API Gateway and Proxy Engineering</p><ul><li><p>Design and operate APISIX gateways for inbound, internal, and outbound API traffic.</p></li><li><p>Configure authentication, authorization, mTLS, request validation, rate limits, allowlists, routing policies, tracing, and audit</p></li></ul><p>logs.</p><ul><li><p>Configure NGINX reverse and egress proxies with approved upstreams, methods, paths, headers, and external</p></li></ul><p>destinations.</p><ul><li><p>Integrate gateways and proxies with firewalls, Kubernetes services, DNS, NAT, certificates, monitoring, and centralized</p></li></ul><p>logging.</p><p>Page 1</p><p>Senior Network, Security & Platform Architect/Engine</p></li></ul>

<ul><li>Design and implement machine learning algorithms tailored to solve specific business challenges, ensuring they align with project goals.</li><li>Collaborate with data scientists and analysts to preprocess and analyze large datasets, deriving actionable insights for model improvement.</li><li>Optimize and fine-tune existing AI models to enhance performance and accuracy, using state-of-the-art techniques and tools.</li><li>Conduct thorough testing and validation of AI models, ensuring robustness and reliability before deployment in production environments.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory Azure AI Services: Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks. Python Programming: Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI). LLM & Generative AI: Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques. ML Libraries & Frameworks: Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK). Vector Databases: Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone. DevOps/MLOps: Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights. Cloud Security & Integration: Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns. AI Ethics & Governance: Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems. KNOWLEDGE, SKILLS, & EXPERIENCE Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred. Minimum Experience: 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments. Mandatory hands-on experience with Microsoft Azure AI Services. Experience working with large-scale datasets and real-time enterprise data. Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>We are currently looking for AI Solutions Engineer for (Offshore/Onsite) our UAE operations with the following terms &amp; conditions.</p><br><p>Qualifications:</p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p>Experience:</p><br><p>• Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</p><br><p>• Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</p><br><p>• Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</p><br><p>• Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</p><br><p>Technical Skills:</p><br><p>• Proficient in programming languages such as Python, Java, or C++.</p><br><p>• Familiarity with data pipeline tools and frameworks</p><br><p>• Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</p><br><p>• Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</p><br><p>• Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</p><br><p>• Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</p><br><p>Soft Skills:</p><br><p>• Strong analytical and problem-solving skills.</p><br><p>• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</p><br><p>• Leadership experience and the ability to work effectively in cross-functional teams.</p><br><p>• Detail-oriented and focused on delivering high-quality, scalable solutions.</p><br><p>Data &amp; Integration:</p><br><p>• Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</p><br><p>• Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</p><br><p>Experience: 6 to 8 Years</p><br><p>Preferred Qualifications:</p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.</p><br><p>Knowledge of AI ethics and bias mitigation strategies.</p><br><p>Terms and conditions</p><br><p>Joining time frame: Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>