enterprise sales executive

MainteXX Interiors & Gen Maint LLC

Key Responsibilities<ul><li>Generate new sales leads through cold calling, networking, site visits, email, LinkedIn, and other business development activities.</li><li>Meet consultants, contractors, facility management companies, retail businesses, corporate clients, and government organizations.</li><li>Identify new project opportunities for interior fit-out, maintenance, renovation, and building improvement works.</li><li>Schedule client meetings and present company services professionally.</li><li>Follow up on enquiries and quotations until project award.</li><li>Maintain strong relationships with existing clients.</li><li>Update all client interactions and opportunities in the company's CRM system.</li><li>Coordinate with the estimation and operations teams for quotations and technical requirements.</li><li>Achieve quarterly sales targets and business development KPIs.</li><li>Stay updated on market trends, competitors, and upcoming projects.</li><li>Supplier registering with malls as listed contractors and government companies.</li><li>Payment collection and supporting the cash flow with finance team.</li></ul>Requirements<ul><li>Minimum 2 years of UAE sales experience in Interior Fit-Out, Construction, Maintenance, MEP, Facility Management, or Building Materials.</li><li>Valid UAE Driving License (Mandatory).</li><li>Strong communication, negotiation, and presentation skills.</li><li>Good understanding of the Abu Dhabi construction market.</li><li>Ability to independently generate business opportunities.</li><li>Experience dealing with consultants, contractors, and corporate clients is preferred.</li><li>Good command of English. Arabic is an advantage.</li><li>Proficient in Microsoft Office and CRM software.</li></ul>The package:<ul><li>Gross salary: AED 3,500&ndash;5,000 (Depending on Experience &amp; Transportation package)</li><li>Company visa</li><li>Medical insurance</li><li>Mobile allowance</li><li>Performance-based bonus</li><li>Annual leave and airfare as per UAE Labour Law.</li></ul>Fuel, Darb, Salik, parking charges and company car (If candidate have vehicle, the total allowance can be negotiated)The performance bonus:-<ul><li>0.5 %- 1% of finally billed gross contract value after payment collection.</li></ul>The performance bonus will be linked to projects that are awarded and collected in the due date.Job Type: Full-timePay: AED3,500.00 - AED5,000.00 per month

Sales Executive/ Engineer– Interior Fit-Out

Confidential Careers

<div>
 
 We are seeking a highly capable
 
 Power BI &amp; Data Analytics Specialist
 
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 dsCollaborate with business stakeholders to define KPIs, reporting requirements, and analytical solutio
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 nsSupport executive reporting, operational analytics, and self-service BI initiativ
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</div>

Power BI & Data Analytics Specialist

Americana computer Systems LLC

Education Bachelor&rsquo;s degree in Cybersecurity, Computer Science, or Engineering. Master&rsquo;s degree preferred. Experience Minimum 8&ndash;12 years in cybersecurity. Minimum 5 years in enterprise security architecture.Experience in government or regulated environment (preferred) Experience managing or governing outsourced SOC services (preferred) Experience with enterprise network security infrastructure.Technical Expertise (Mandatory) Network security architecture Firewall management (Palo Alto / Fortinet) SIEM architecture understanding (LogRhythm preferred) Identity &amp; Access Management (AD, MFA, Privileged Access) Vulnerability management (Tenable preferred) Endpoint security technologies Incident response leadership Risk assessment methodologies Regulatory compliance frameworks Preferred Experience Zero Trust architecture EDR/XDR deployment Cloud security CyberArk administration F5 WAF security tuning Purple Team participation Threat modeling frameworks Certifications: At least two of:CISSP CISM CCSP ISO 27001 Lead Implementer CCNP Security GCIA / GCIH Behavioral Competencies Strong decision-making capability Ability to challenge vendors technically Executive communication skills Risk-based thinking Governance mindset Cross-team coordination ability Performance KPIs Reduction in critical vulnerabilities Improvement in audit findings SOC SLA compliance oversight Successful EDR implementation Firewall rule optimization &amp; segmentation improvements MFA adoption coverage Security maturity improvement scoreWork LocPay: AED18,000.00 per hourWork Location: In person

Senior Security Engineer Position

Yokogawa

<div>Not just a job, but a career
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
About the Team 
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
Job Purpose
The Senior AI Process Consultant is responsible for architecting AI/ML-based process solutions and leading AI-driven operational transformation across Oil &amp; Gas, Petrochemical, and other process-industry domains. Bridging deep process-operations credibility with modern AI, architecture governance, and commercial value thinking, the role owns AI/ML business outcomes, solution architecture, and implementation strategy; translating operational problem statements into scalable, auditable solutions and guiding pilot-to-scale adoption. The role collaborates with and supports the Digital Enterprise Business Unit / Solution Division to build differentiated capabilities and accelerate growth across the YMA region.
Key Responsibilities &amp; Accountabilities
1. Technical Analysis &amp; Solution Architecture<ul><li>
Perform high level technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to identify opportunities for resolving customers' process problems.</li><li>
Define solution architectures and develop detailed design specifications for complex AI solutions.</li><li>
Define functional requirements through client interviews, documentation analysis, and workflow / process mapping.</li><li>
Provide expert technical judgment to estimate the effort required to implement complex AI solutions.</li></ul>
2. Business Case &amp; Portfolio Development<ul><li>
Identify and develop business cases for focused AI applications and support their implementation and successful proliferation within the assigned process industry / application.</li><li>
Advise customers on suitable AI/ML solutions and provide overall business portfolio management, solution design, and demonstration functions.</li><li>
Own and drive the preparation of Feasibility Study/ Business Case reports to support the customer for FID/Budgeting approvals.</li></ul>
3. Client Engagement &amp; Relationship Management<ul><li>
Engage proactively with customers to understand expectations and ensure they are consistently met through AI/ML solutions.</li><li>
Define the overall technical approach for AI implementation, integrating simulation / Digital Twin and, where applicable, APC/RTO technologies.</li><li>
Develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).</li><li>
Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.</li></ul>
4. Project Delivery &amp; Quality Assurance<ul><li>
Own technical deliverables across the entire lifecycle of solution-development projects.</li><li>
Ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.</li><li>
Ensure AI best-practice approaches, standards, and methods are applied appropriately throughout delivery.</li><li>
Participate actively as a member of technical project teams, building and maintaining effective working relationships.</li></ul>
5. Knowledge Sharing, Training &amp; Enablement<ul><li>
Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.</li></ul>
6. Sales Collaboration &amp; Growth<ul><li>
Partner effectively with sales personnel to position solutions, support opportunity development, and secure orders.</li></ul>
Qualification and Experience:<ul><li>
Bachelors or Masters in Chemical Engineering. preferred, with a minimum of 15 years of industrial process experience spanning APC/RTO-related software development, engineering, and business development.</li><li>
Minimum 4 years' experience leading, architecting, or implementing AI/ML applications and AI-driven transformation initiatives in an industrial setting; knowledge of AI for process control is an advantage.</li><li>
Strong foundation in AI/ML methods, the model lifecycle, and best-practice deployment and governance approaches.</li><li>
Strong problem-solving skills with an emphasis on solution development.</li><li>
Work location: Yokogawa Global AI CoE Centre, United Arab Emirates (UAE).</li><li>
Willing and able to travel throughout the YMA region and globally as required.</li></ul>
Competencies &amp; Skills
<ul><li>Strong foundation in AI/ML solution design, methodology, and solution / enterprise architecture, including architecture governance (e.g. TOGAF).</li><li>
Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.</li><li>
Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.</li><li>
Strong knowledge of IIoT integration concepts and architectures.</li><li>
Up-to-date awareness of the latest AI and Digital Twin market trends.</li><li>
Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.</li><li>
Experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.</li><li>
Strong communicator and collaborative team player with the ability to energize and influence others, including senior and executive stakeholders.</li><li>
Strong problem-solving orientation with a focus on practical solution development.</li></ul>
&ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
Are you being referred to one of our roles? If so, ask your connection at Yokogawa 
about our Employee Referral process!</div>

Senior AI/ML Process Consultant/Engineer

IMADA Construction Materials

Job Title: Sales Executive &ndash; Interior Fit-Out/ MarbleLocation: Abu Dhabi Employment Type: Full-Time Experience Required: 8+ Years in Interior Fit-Out/Marble SalesKey Responsibilities<ul><li>Identify, develop, and secure new business opportunities for interior fit-out projects.</li><li>Build and maintain strong relationships with clients, consultants, contractors, architects, designers, and developers.</li><li>Meet prospective clients and understand their requirements.</li><li>Prepare and submit proposals, quotations, and tender documents in coordination with the estimation and operations teams.</li><li>Negotiate commercial terms and close sales deals to achieve revenue targets.</li><li>Monitor market trends, competitor activities, and industry developments.</li><li>Follow up on leads, inquiries, and ongoing projects to maximize conversion rates.</li><li>Maintain accurate records of sales activities, client interactions, and project pipelines.</li><li>Coordinate with project teams to ensure smooth handover and client satisfaction.</li></ul>Requirements<ul><li>Minimum 8 years of proven sales experience in the interior fit-out industry (Marble preffered)</li><li>Demonstrated track record of bringing new business and achieving sales targets.</li><li>Strong knowledge of commercial, retail, hospitality, and residential fit-out projects.</li><li>Excellent communication, negotiation, and presentation skills.</li><li>Ability to build and maintain long-term client relationships.</li><li>Self-motivated, target-oriented, and capable of working independently.</li><li>Proficiency in Microsoft Office.</li><li>Valid UAE driving license.</li></ul>Application Question(s):<ul><li>How many years of experience do you have? </li><li>What is your salary expectation?</li><li> What is your notice period?</li><li> Do you have experience in marble/fit-out?</li><li>Do you have UAE Driving License? </li></ul>Work Location: In person

Sales Executive

Open Innovation AI

<div>
 
 
 Company Overview
 
 
 
 
 
 
 Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 You will work directly with customers on their hardest problems, then design and build AI systems to solve them.
 
 
 Most of what you build will sit on top of the OI Platform, which provides the underlying infrastructure: model inference, agent orchestration, retrieval and the broader AI tooling layer. Your focus is not on rebuilding the foundation, but on applying it effectively. You will concentrate on the customer-specific layer: workflows, data integrations, user interfaces, and the points where the platform meets a live operation.
 
 
 Teams are small, autonomy is high, and you own each project from kickoff through production. A typical day may involve discussing architecture with a colleague, preparing customer data, building a web application on top of the platform, integrating with SAP or Oracle, prototyping an agent, and presenting results to executives.
 
 
 
 
 
 **You build it, you ship it, you own it**
 
 
 
 
 
 This is a strong environment for engineers who want to develop real depth. You will learn how to break down ambiguous problems, evaluate real tradeoffs, work directly with modern AI tooling, and grow within a team that will challenge you.
 
 
 
 
 
 
 Role Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Embed with the client and work alongside their stakeholders to translate business problems into technical solutions.
 </li>
 <li>
 Build AI solutions on top of the OI Platform, including agent workflows, RAG pipelines, custom applications, and data products that connect the platform to the customer's enterprise systems.
 </li>
 <li>
 Own the full lifecycle: discovery, architecture, build, deployment, and iteration once real users are on the system.
 </li>
 <li>
 Transform large, complex, real-world data into formats that AI systems can use effectively.
 </li>
 <li>
 Collaborate with product engineers, deployment strategists, and the customer's team on both the solution and the surrounding strategy.
 </li>
 <li>
 Travel to client sites when the work calls for it: running workshops, debugging live systems, and building trust with the people you are delivering for
 </li>
 </ul>
 
 
 
 
 
 Required skills &amp; Experience:
 
 
 
 
 
 <ul>
 <li>
 A strong engineering background in computer science, software engineering, mathematics, physics, or data science.
 </li>
 <li>
 4+ years in backend, data, or full-stack engineering. More senior and more junior candidates are welcome to apply; please indicate where you sit.
 </li>
 <li>
 Genuine proficiency in Python or TypeScript (either is acceptable).
 </li>
 <li>
 Hands-on experience with modern AI tooling: LLMs, RAG, vector databases, agent frameworks, evaluations, and prompt orchestration.
 </li>
 <li>
 Experience working with large-scale data, cloud platforms (AWS, GCP, or Azure), and modern data tooling.
 </li>
 <li>
 The ability to hold a substantive conversation with a CTO and a non-technical executive in the same meeting.
 </li>
 <li>
 A strong sense of ownership: you make decisions, ship work, and move forward without waiting to be directed.
 </li>
 <li>
 Comfort with ambiguity, shifting priorities, and problems that have not been solved before
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience:
 
 
 
 
 
 <ul>
 <li>
 Experience deploying AI/ML systems in regulated or mission-critical environments.
 </li>
 <li>
 Experience working directly with enterprise customers in a delivery or consulting capacity
 </li>
 </ul>
 
 
</div>

Forward Deployed Engineer

ENEC Operations

<div>
 
 The Data and AI Engineering Expert is a senior hands-on technical authority responsible for the design, development, and operationalization of enterprise data and AI platforms across ENEC. This role leads the engineering delivery of scalable, secure, and compliant data pipelines, AI/ML solutions, and analytics platforms leveraging technologies such as Databricks (Delta Lake, Unity Catalog, MLflow, Delta Live Tables), Microsoft Azure (Azure Data Factory, Azure ML, Microsoft Fabric, Azure AI Foundry, Copilot Studio), Collibra (Data Governance &amp; Data Quality), Power BI, and OT/industrial data systems including PI System, SCADA, and DCS.
 
 
 
 
 
 The Expert applies deep engineering expertise to architect and deliver production-grade solutions, ensures data governance and quality standards are upheld, and drives the adoption of AI and analytics capabilities that directly support ENEC's mission of safe, innovative, and efficient nuclear energy generation. This role acts as a principal technical contributor and mentor, enabling operational excellence and digital transformation at scale.
 
 
 Activity: Data Engineering Architecture &amp; Platform Development
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Design, build, and maintain scalable, secure, and high-performance data platforms including Lakehouse architectures using Databricks Delta Lake, Unity Catalog, and Delta Live Tables (DLT).
 
 
 &bull; Develop and operationalize robust data pipelines, ETL/ELT workflows, and integration frameworks using Azure Data Factory, Databricks Workflows, and related orchestration tools.
 
 
 &bull; Architect and implement data models, semantic layers, and data products that serve enterprise analytics, AI, and reporting needs.
 
 
 &bull; Ensure seamless integration of OT and industrial data sources &mdash; including PI System, SCADA, and DCS &mdash; into enterprise data platforms.
 
 
 &bull; Design and implement APIs, data contracts, and integration frameworks to enable enterprise-wide data consumption.
 
 
 &bull; Ensure platform scalability, resilience, high availability, and disaster recovery capabilities in compliance with nuclear and regulatory requirements.
 
 
 &bull; Apply and enforce data standards, naming conventions, and metadata management practices across all data assets using Collibra and Unity Catalog.
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Design, develop, and deploy production-grade machine learning, deep learning, and generative AI models using Azure ML, MLflow, and Databricks ML.
 
 
 &bull; Engineer end-to-end MLOps pipelines covering model training, versioning, validation, deployment, monitoring, and retraining &mdash; ensuring reliability and reproducibility.
 
 
 &bull; Build and operationalize AI-powered solutions including predictive analytics, anomaly detection, natural language processing (NLP), and GenAI/LLM-based applications using Azure AI Foundry and Copilot Studio.
 
 
 &bull; Develop BI and semantic models in Microsoft Fabric and Power BI, enabling self-service analytics and executive reporting across the organization.
 
 
 &bull; Apply Responsible AI principles and governance frameworks to all AI and ML solutions, ensuring explainability, fairness, and compliance.
 
 
 &bull; Conduct rigorous model evaluation, performance benchmarking, and validation to ensure solutions meet accuracy, reliability, and safety standards.
 
 
 &bull; Contribute to the continuous improvement of AI engineering standards, patterns, and reusable components across the enterprise.
 
 
 Activity: Advanced Subject Matter Knowledge
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Demonstrates deep, hands-on expertise in enterprise data engineering, AI/ML platform development, and cloud-native architectures within highly regulated environments.
 
 
 &bull; Maintains current knowledge of global trends in data engineering, MLOps, GenAI, cloud technologies (Azure, hybrid, on-premise), and nuclear industry compliance requirements.
 
 
 &bull; Understands the full lifecycle of data and AI platforms including design, development, testing, deployment, monitoring, and decommissioning.
 
 
 &bull; Applies comprehensive knowledge of data governance frameworks (Collibra, Unity Catalog), master data management, data quality, and lineage management.
 
 
 &bull; Possesses strong awareness of OT/IT convergence, industrial data systems (PI System, SCADA, DCS), and their integration into enterprise analytics environments.
 
 
 &bull; Maintains expert-level proficiency in programming languages and frameworks including Python, SQL, Spark, and relevant AI/ML libraries.
 
 
 Activity: Complex Problem Solving &amp; Innovation
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Tackles complex, ambiguous engineering challenges in data platform architecture, AI model development, and system integration &mdash; delivering innovative, compliant, and production-ready solutions.
 
 
 &bull; Leads root cause analysis and corrective/preventive actions for platform incidents, data quality failures, model degradation, and system disruptions.
 
 
 &bull; Develops and implements robust engineering solutions to address performance bottlenecks, scalability constraints, and integration challenges.
 
 
 &bull; Navigates conflicting technical requirements, evolving regulatory standards, and stakeholder needs to deliver optimal engineering outcomes.
 
 
 &bull; Drives continuous improvement by benchmarking against global engineering best practices, evaluating emerging technologies, and implementing lessons learned.
 
 
 &bull; Leads proof-of-concept and pilot initiatives to evaluate new data and AI technologies and engineering approaches
 
 
 
 
 
 Activity: Applied Skills &amp; Professional Know-How
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Expertly engineers, deploys, and operates scalable, secure, and compliant data and AI platforms across Databricks, Azure, and OT environments.
 
 
 &bull; Applies hands-on proficiency in building data pipelines, ML models, GenAI solutions, BI semantic models, and governance frameworks in production environments.
 
 
 &bull; Mentors and develops junior and mid-level data engineers, data scientists, and analytics engineers &mdash; building future-ready technical capabilities.
 
 
 &bull; Leads technical design reviews, code reviews, and architecture assessments to uphold engineering quality and best practices.
 
 
 &bull; Effectively translates complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
 
 
 &bull; Documents solutions, engineering patterns, and technical standards to build institutional knowledge and enable knowledge transfer.
 
 
 Activity: Security, Governance &amp; Compliance
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Design and enforce data security, access control, and privacy frameworks across all data and AI platforms using Unity Catalog, Collibra, and Azure security controls.
 
 
 &bull; Ensure all data engineering and AI solutions comply with national and international nuclear regulations, FANR requirements, and Responsible AI principles.
 
 
 &bull; Maintain comprehensive data lineage, audit trails, and documentation to support regulatory, audit, and governance requirements.
 
 
 &bull; Implement and enforce data quality frameworks and data governance policies using Collibra Data Quality and Unity Catalog.
 
 
 &bull; Conduct regular platform security assessments, data quality audits, and compliance reviews.
 
 
 &bull; Oversee risk management, audit readiness, and the implementation of robust technical controls for all platform operations.
 
 
 
 
 
 
 
 
 
 Minimum
 
 
 
 &bull; Bachelor&rsquo;s degree in computer science, Information Technology, Data Management, Engineering, or related discipline.
 
 
 &bull; Minimum 12+ years' hands-on experience in enterprise data engineering, AI/ML platform development, and cloud-native architectures, including production deployment and operations.
 
 
 &bull; Experience embedding governance within modern data platforms (preferably Databricks) and integrating SAP/Oracle ERP domains.
 
 
 
 
 
 
 
 
 
 Preferred
 
 
 
 
 
 
 &bull; Master&rsquo;s degree in a relevant field.
 
 
 &bull; Experience in energy, utilities, nuclear, financial services, government, or other highly regulated sectors.
 
 
 &bull; Demonstrated AI governance experience (provenance, bias monitoring, model data requirements) in data bricks or similar AI/analytics platforms exposure.
 
 
 &bull; Demonstrated experience leading large-scale data and AI engineering programs
 
 
 
 
 
 
 
 
 
 Certification -
 
 
 
 
 
 
 Multiple cloud and AI certifications. Microsoft Fabric, Azure AI Foundry, or Databricks Unity Catalog specialty certifications. Industry publications or contributions in data engineering or AI.
 
 
 
 
 
 Relevant certifications in one or more of: Databricks (Data Engineer Associate/Professional, ML Professional), Microsoft Azure (Data Engineer, AI Engineer, Solutions Architect), MLOps, or Data Governance (Collibra).
 
</div>

Data and AI Engineering Expert

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