Master's Degree Holders Jobs in UAE

<p>Our client, a <strong>major Oil & Gas company in Abu Dhabi</strong>, is looking for an experienced <strong>Welding Engineer</strong> with strong technical expertise in welding processes, materials, welding procedures and Oil & Gas fabrication/construction activities.</p><p>The ideal candidate should have extensive experience in an <strong>Oil & Gas project environment</strong>, with sound knowledge of international welding codes and standards and the ability to prepare, review and qualify welding procedures.</p><p>Key Responsibilities</p><ul><li><p>Prepare, review and support the qualification of <strong>Welding Procedures (WPS/PQR)</strong>.</p></li><li><p>Provide technical expertise on various <strong>welding processes and materials</strong>.</p></li><li><p>Assess the weldability of materials, including <strong>Corrosion Resistant Alloys (CRA)</strong>.</p></li><li><p>Support the selection of appropriate welding consumables.</p></li><li><p>Conduct and support <strong>weld-related failure analysis</strong>.</p></li><li><p>Review welding activities to ensure compliance with applicable project specifications, codes and standards.</p></li><li><p>Provide technical guidance on welding and fabrication methods within Oil & Gas projects.</p></li><li><p>Ensure welding activities comply with applicable international codes and standards.</p></li><li><p>Support welding activities associated with:</p></li><li><p>Pressure Vessels</p></li><li><p>Piping/Pipelines</p></li><li><p>Tanks</p></li><li><p>Other Oil & Gas facilities</p></li><li><p>Coordinate with construction, QA/QC and other technical teams on welding-related matters.</p></li></ul><p>Technical Requirements</p><p>Candidates should possess sound technical knowledge of:</p><ul><li><p>Welding Processes</p></li><li><p>Welding Materials and their Weldability</p></li><li><p>Corrosion Resistant Alloys (CRA)</p></li><li><p>Welding Consumables</p></li><li><p>Welding Procedure Preparation and Qualification</p></li><li><p>Welding Inspection</p></li><li><p>Weld Failure Analysis</p></li><li><p>Oil & Gas Fabrication Methods</p></li></ul><p>Codes & Standards</p><p>Strong knowledge of international codes and standards such as:</p><ul><li><p><strong>ASME</strong></p></li><li><p><strong>ASTM</strong></p></li><li><p><strong>API</strong></p></li><li><p><strong>BS / EN / ISO</strong></p></li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>Education & Professional Qualifications</p><p><strong>Preferred:</strong></p><ul><li><p>Bachelor's Degree in <strong>Mechanical Engineering or Metallurgical Engineering</strong></p></li><li><p>Master's Degree in <strong>Welding</strong></p></li></ul><p><strong>Alternatively:</strong></p><ul><li><p>Bachelor's Degree in Mechanical or Metallurgical Engineering with a professional certification in Welding Engineering, such as:</p></li><li><p><strong>IWE – International Welding Engineer</strong></p></li><li><p><strong>CWE – Certified Welding Engineer</strong></p></li><li><p>Or another acceptable equivalent approved by the Company.</p></li></ul><p>Certification Requirements</p><ul><li><p><strong>ASNT Level II</strong> certification in:</p></li><li><p>RT – Radiographic Testing</p></li><li><p>UT – Ultrasonic Testing</p></li><li><p>MT – Magnetic Testing</p></li><li><p>PT – Penetrant Testing</p></li></ul><p>Experience</p><ul><li><p>Minimum <strong>12 years of total experience in welding-related activities within an Oil & Gas project environment</strong>.</p></li><li><p>Experience in Oil & Gas facility construction, including <strong>pressure vessels, piping/pipeline fabrication and tanks</strong>, is required.</p></li></ul><p>Other Requirements</p><ul><li><p>Fluent English language skills.</p></li><li><p>Strong technical and analytical abilities.</p></li><li><p>Good communication and coordination skills.</p></li><li><p>Ability to work effectively in a project/construction environment.</p></li></ul><br><br>

<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>

<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>

<ul><li>Develop and implement comprehensive HSE strategies aligned with corporate objectives and regulatory frameworks, ensuring a proactive safety culture across all operations.</li><li>Lead and manage the HSE department, fostering a high-performing team dedicated to achieving zero harm and continuous improvement in safety performance.</li><li>Oversee the establishment and maintenance of robust risk management systems, including hazard identification, risk assessment, and the implementation of effective control measures.</li><li>Drive the development and execution of emergency preparedness and response plans, conducting regular drills and reviews to ensure organizational readiness.</li><li>Champion incident investigation processes, ensuring thorough root cause analysis and the implementation of corrective and preventive actions to avoid recurrence.</li><li>Manage compliance with all relevant national and international HSE legislation, standards, and best practices, staying abreast of evolving regulatory landscapes.</li><li>Develop and deliver engaging HSE training programs tailored to different employee levels, promoting awareness, competence, and adherence to safety protocols.</li><li>Conduct regular HSE audits and inspections of facilities and operations, identifying non-compliance issues and recommending actionable improvements.</li><li>Collaborate with senior management and stakeholders to integrate HSE considerations into business decision-making, promoting a sustainable and responsible approach.</li><li>Monitor and report on key HSE performance indicators (KPIs) to executive leadership, providing insights and recommendations for strategic adjustments.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Occupational Health and Safety, Environmental Science, Engineering, or a related field; Master's degree preferred.</li><li>Possession of internationally recognized HSE certifications such as CSP, CIH, NEBOSH International Diploma, or equivalent.</li><li>Minimum of 8-10 years of progressive experience in HSE management within a corporate or complex industrial setting.</li><li>Proven track record of developing and implementing successful HSE management systems (e.g., ISO 45001, ISO .</li><li>Demonstrated expertise in risk assessment methodologies, incident investigation techniques, and safety auditing.</li><li>Proficiency in relevant HSE software and data analysis tools for performance tracking and reporting.</li><li>Exceptional leadership and communication skills, with the ability to influence and engage diverse stakeholders at all levels.</li><li>Strong analytical and problem-solving abilities, with a strategic mindset for proactive HSE management.</li><li>Fluency in English; knowledge of additional languages relevant to company operations is a plus.</li><li>Adaptability to travel as required and ability to perform under pressure in dynamic environments.</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>

<ul><li>Develop and implement comprehensive quality assurance and control strategies aligned with business objectives and regulatory standards.</li><li>Lead and mentor a team of QA/QC professionals, fostering a culture of continuous improvement and high performance.</li><li>Oversee the execution of quality audits, inspections, and testing procedures to ensure product and process integrity.</li><li>Analyze quality data and trends to identify root causes of defects and implement effective corrective and preventive actions.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Engineering, Science, or a related technical field, with a Master's degree preferred.</li><li>Minimum of 7-10 years of progressive experience in Quality Assurance and Quality Control, with at least 3 years in a leadership role.</li><li>Proven track record in implementing and managing Quality Management Systems (e.g., ISO 9001, Six Sigma, Lean Manufacturing).</li><li>Certification in relevant quality methodologies (e.g., ASQ Certified Quality Manager, Six Sigma Black Belt) is highly desirable.</li></ul>

<ul><li>Spearhead the end-to-end development lifecycle of MAVEN projects, from initial concept and architecture design to final deployment and ongoing optimization.</li><li>Translate complex business requirements into robust, scalable, and efficient technical solutions within the MAVEN ecosystem.</li><li>Design and implement custom MAVEN features, integrations, and data models to meet specific client needs and enhance platform functionality.</li><li>Collaborate closely with cross-functional teams, including product managers, designers, and QA engineers, to ensure seamless project execution.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.</p></li><li><p>Minimum of 7-12 years of hands-on experience in software development, with a significant focus on MAVEN platform customization and integration.</p></li><li><p>Proven track record of successfully delivering complex projects within defined timelines and budgets.</p></li><li><p>Expertise in MAVEN's core technologies, including its API, data structures, and extensibility frameworks.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Corporate / Internal Lawyer <span>Corporate / Internal Lawyer</span> <p><strong>Department:</strong> Legal<br><strong>Location:</strong> Dubai, UAE<br><strong>Employment Type:</strong> Full-time, On-site<br><strong>Reports To:</strong> Managing Director</p><br> 1. Position Overview <p>The Corporate / Internal Lawyer is responsible for providing comprehensive legal support across the organization, ensuring compliance with applicable laws and regulations, mitigating legal risks, and safeguarding the company's interests. The role involves reviewing and drafting contracts, advising management on legal matters, supporting corporate governance activities, and coordinating with external legal counsel when required. The ideal candidate will have international legal exposure and strong experience in corporate and commercial law within a fast-paced business environment.</p><br> 2. Key Responsibilities <ul><li>Draft, review, negotiate, and manage a wide range of commercial agreements, contracts, and legal documents.</li><li>Provide legal advice and guidance to management on corporate, commercial, employment, and operational matters.</li><li>Ensure the company's compliance with UAE laws, regulations, and corporate governance requirements.</li><li>Support corporate structuring, company incorporations, amendments, and regulatory filings across multiple jurisdictions when required.</li><li>Review and assess legal risks associated with business activities, projects, and contractual arrangements.</li><li>Coordinate with external legal counsel on litigation, disputes, regulatory matters, and specialized legal issues.</li><li>Develop and maintain legal policies, procedures, and internal compliance frameworks.</li><li>Assist in resolving contractual disputes and legal claims while protecting the company's interests.</li><li>Conduct legal research and monitor legislative and regulatory developments impacting the business.</li><li>Support management in strategic initiatives, transactions, partnerships, and business expansion activities.</li><li>Maintain and organize legal records, contracts, licenses, and corporate documentation.</li><li>Provide legal training and awareness sessions to internal stakeholders when required.</li></ul> 3. Qualifications &amp; Experience <ul><li>Bachelor's Degree in Law (LL.B.); Master's Degree (LL.M.) is an advantage.</li><li>2–3 years of relevant corporate legal experience, preferably with international exposure.</li><li>Experience in corporate, commercial, and contract law.</li><li>Knowledge of UAE legal and regulatory frameworks is required.</li><li>Experience working with multinational companies, international law firms, or cross-border transactions is highly desirable.</li><li>Strong contract drafting, negotiation, and legal advisory skills.</li><li>Excellent analytical, problem-solving, and risk assessment abilities.</li><li>Strong communication and stakeholder management skills.</li><li>Ability to handle confidential and sensitive information with discretion.</li><li>Fluency in English and Arabic is preferred.</li><li>Lebanese candidates will be considered for this position.</li></ul> <br> <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>

Build Your Future with GANS<br>At GANS, our Graduate Development Program is designed to equip fresh graduates with the knowledge, practical experience, and professional skills needed to build a successful career in a dynamic and safety-critical environment.<br>As a Graduate Trainee, you will benefit from structured on-the-job training, mentoring, technical and professional development, and exposure to real business operations across the organization.<br>Eligible Majors We welcome applications from graduates in, but not limited to, the following disciplines:Engineering Information Technology & Computer Science Aviation Business, Finance & Accounting Human Resources Safety & Quality Management Meteorology Other related disciplines<br>Eligibility Criteria Applicants should meet the following requirements:UAE National with a valid Family Book Bachelor's or Master's degree from an accredited university Fresh graduate Strong communication and interpersonal skills National Service completed (for male candidates), where applicable If you're ready to kick-start your career and shape the future of aviation, we'd love to hear from you.<br>Apply now and start your journey with GANS.

We are currently hiring an experienced Chief Operating Officer to join a leading contractor in the UAE.<br>This is a senior leadership role overseeing the company's operational strategy and delivery across a portfolio of major infrastructure projects, with a strong focus on rail.<br>The successful candidate will bring proven C-suite/operational leadership experience, a strong engineering background, and extensive infrastructure delivery experience gained within the GCC region.<br>Responsibilities Lead and oversee the company's overall operational strategy, ensuring efficient, safe, and profitable delivery across its infrastructure project portfolio Drive business performance through strong P&L ownership, governance, and organizational leadership across all operational functions Build and maintain key stakeholder, client, and contractual relationships to support project delivery and long-term business growth<br>Qualifications Senior leadership/C-suite level experience within the construction industry, including strong P&L & operational leadership. Prior experience working within the GCC for a main contractor is essential. Extensive infrastructure project experience is essential - rail experience highly preferred. Bachelor's/Master's degree in Engineering is mandatory.