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artificial intelligence consultant

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senior strategy & data consultant Jobs in Riyadh

senior strategy & data consultant

ai & analytics research and innovation principle expert Jobs in Riyadh

ai & analytics research and innovation principle expert

ai designer

ai analytics research and innovation principle expert

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The role holder is responsible for advancing AI innovation, developing cutting-edge AI solutions, and managing data monetization opportunities. This includes building AI product repositories, contributing to AI strategy, and fostering external partnerships. The role holder shall carry out their duties in accordance with the stipulated business policies and procedures
 <br/>
 <br/>
 <strong>
  Job Responsibility
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build expertise dedicated to driving innovation and experimentation in the field of AI (e.g., review latest technological advancements, new techniques of emerging technologies that could impact AI applications and methodologies, etc.)
  </li>
  <li>
   Research, develop and deploy sophisticated, cutting-edge AI solutions AI solutions/products that offer foundational capabilities to stc KSA, stc group subsidiaries, external partners and other stakeholders (e.g., multi-agent system frameworks for deploying conversational virtual assistants) in alignment with Group Architecture &amp; Technologies Enablement GD
  </li>
  <li>
   Collaborate with business units to identify monetization opportunities for stc KSA data (and subsidiaries)
  </li>
  <li>
   Lead initiatives on using stc group&rsquo;s data resources to build partnerships with external entities
  </li>
  <li>
   Build and and maintain a repository/registry of AI and Data products that can be utilized across various teams within stc KSA, stc group subsidiaries, external partners and other stakeholders (e.g., Customer 360, Network RAN 360 etc.), perform asset management activities
  </li>
  <li>
   Provide inputs for AI &amp; Analytics strategy, ensuring alignment with the long-term AI-related goals of stc group
  </li>
  <li>
   Create publications and partnerships to position stc as an AI thought leader
  </li>
  <li>
   Establish and maintain collaborations with academia, industry leaders, and technology experts to enhance innovation in alignment with Innovation &amp; Emerging Technologies department
  </li>
  <li>
   Provide support to tribes in responding to complex, specialized AI requests, requiring innovative AI techniques
  </li>
  <li>
   Develop and continuously define AI related technology tooling required to drive efficiency and effectiveness of end-to-end AI solution/product development
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Responsibility (cont.)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement end to end MLOps and LLMOps practices to streamline the deployment, management, and scaling of AI models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Years Of Experience
  <br/>
  <br/>
 </strong>
 A minimum of 8 years of relevant experience with at least 3 - 4 years of experience in a similar role.
 <br/>
 <br/>
 <strong>
  Nature Of Experience
  <br/>
  <br/>
 </strong>
 Experience in AI development, data monetization, and partnership preferably within telecommunications or technology industry.
 <br/>
 <br/>
 <strong>
  Job Band
  <br/>
  <br/>
 </strong>
 SME
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 Bachelor Degree in Information Technology or Computer Science
 <br/>
 <br/>
 <strong>
  Additional Education
  <br/>
  <br/>
 </strong>
 <strong>
  Certifications
 </strong>
</div>


AI & Analytics Research and Innovation Principle Expert

Capgemini Engineering

<div><div><div><div>Key Responsibilities</div></div><div><p>
Define and lead the <b>AI strategy</b>, ensuring alignment with Capgemini&rsquo;s global vision and client priorities.</p><p>
Architect and oversee the design, training, and deployment of advanced AI/ML models across multiple domains (Industrial AI, NLP, Computer Vision, Generative AI, Predictive Analytics).</p><p>
Work with <b>cross-functional engineering, data, and product teams</b> to embed AI into digital engineering solutions, platforms, and services.</p><p>
Engage directly with clients, translating business challenges into AI-driven solutions that deliver tangible outcomes.</p><p>
Lead a team of AI engineers, data scientists, and researchers; mentor talent and foster a culture of experimentation, innovation, and delivery excellence.</p><p>
Ensure <b>ethical AI practices</b>, data governance, and compliance with relevant standards and regulations.</p><p>
Stay ahead of AI trends, emerging technologies, and research advancements to shape Capgemini&rsquo;s offerings and thought leadership.</p></div></div><div><div><div>
Your Profile</div></div><div><p>
10+ years of experience in data science / AI / machine learning, with at least 3&ndash;5 years in a leadership or architect role.</p><p>
Proven track record of designing and deploying <b>AI solutions at scale</b> (industrial, enterprise, or consumer).</p><p>
Strong knowledge of AI/ML techniques (deep learning, reinforcement learning, generative AI, NLP, computer vision, anomaly detection, time-series forecasting).</p><p>
Experience with leading AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud AI platforms (AWS, Azure, GCP).</p><p>
Ability to engage with <b>business stakeholders and C-level executives</b> in a consultative, value-focused manner.</p><p>
Strong leadership and mentoring skills, with experience managing technical teams.</p><p>
Degree in Computer Science, Data Science, Engineering, or related field; advanced degree (MSc/PhD) a plus.</p></div></div><div><div><div>
What You&rsquo;ll Love About Working Here</div></div><div><p>
Shape the <b>AI strategy of global industry leaders</b>, delivering impact at scale.</p><p>
Be part of a <b>world-class engineering organization</b>, working on some of the most challenging AI problems in energy, manufacturing, automotive, life sciences, and beyond.</p><p>
Access to global <b>AI research and innovation networks</b>, with opportunities for continuous learning and certifications.</p><p>
A supportive, diverse, and inclusive culture where innovation thrives</p></div></div></div>
<br><div><div><div><div>Ref. code</div><div>
332572-en_US</div></div><div><div>
Posted on</div><div>
27 Nov 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div><p></p>

Industrial Data & AI Technical Lead

Dar Al Riyadh

<div><p>Join Dar Al Riyadh&rsquo;s Digital Advisory Services, where Engineering and Project Management heritage meets digital innovation. As part of a forward-thinking, technology-driven national organization, you will work at the intersection of design, data, and delivery, contributing to a smarter, more connected Saudi Arabia. Our team thrives on collaboration, innovation, and impact, empowering professionals to lead the digital transformation of the AECO industry with cutting-edge tools, automation, AI and integrated systems.
<br>
<br>
Candidates with experience working for international Tier 1 AECO firms are strongly preferred, particularly those who have supported or delivered projects for Saudi clients.<br>
</p><p></p><p><b>Role Purpose:<br>
</b></p><p></p><p>The Digital Solutions Integration Specialist plays a pivotal role in delivering end-to-end digital transformation solutions for clients across the AECO industry. Combining technical integration expertise with client-facing advisory capabilities, this role bridges business requirements and technical implementation by designing, configuring, integrating, and optimizing digital platforms and data-driven systems.<br>
</p><p></p><p><b>Key Responsibilities:
</b></p><ul><li>Act as Dar Al Riyadh&rsquo;s key point of contact with clients for digital solution configuration and integration.
</li><li>Lead digital solution development projects, ensuring alignment with client expectations and delivery timelines.
</li><li>Collaborate with internal Digital Delivery and Implementation teams to deliver connected solutions across BIM, PMIS, GIS, ERP and analytics environments.
</li><li>Support business development and client proposals through solution demonstrations and proof-of-concept deployments.
</li><li>Configure, customize, and integrate digital platforms (e.g., CDEs, PMIS, BIM, Power Platform) to meet client-specific workflows.
</li><li>Develop scripts and automations (Python, C#, JavaScript, PowerShell, or API connectors) for interoperability and data synchronization.
</li><li>Implement and test digital systems, ensuring quality assurance and user acceptance.
</li><li>Manage technical documentation and maintain records of solution configurations, testing, and deployment.
</li><li>Troubleshoot, enhance, and optimize deployed solutions, coordinating with developers and vendors when necessary.
</li><li>Lead and mentor Digital Solutions Associates in configuration, testing, and deployment.
</li><li>Research emerging digital technologies (AI, reality capture, APIs, automation) and assess integration opportunities.
</li><li>Drive continuous improvement and knowledge sharing within the Digital Advisory team.
</li><li>Support the creation of digital reporting ecosystems and integration of dashboards for Digital PMO visualization.
</li>Maintain strong accountability for data integrity, accuracy, and delivery performance across all integrations.<br>
<li>
</li></ul><p></p><p><b>Qualifications &amp; Experience:
</b></p><ul><li>Bachelor&rsquo;s degree in engineering, Computer Science, or related discipline.
</li><li>Minimum 8 to 12 years of experience in digital solutions, system integration, or product lifecycle management within AECO or infrastructure sectors.
</li><li>Strong proficiency in data management, data analysis, and database structuring for reporting and analytics.
</li><li>Strong knowledge of databases (SQL Server, Oracle), Microsoft technologies (Windows Server, IIS, COM+), and APIs.
</li><li>Proficiency in programming/scripting (Python, C#, JavaScript, PowerShell, ASP.NET, or equivalent).
</li><li>Experience with application configuration, testing, QA, and deployment in CDE or PMIS environments.
</li><li>Excellent client-facing and leadership skills with strong technical understanding.
</li><li>Experience with international tier 1 AECO firms and Saudi market project delivery is preferred.
</li><li>Certifications such as Power BI Data Analyst Associate, Microsoft Certified Data Engineer, or Autodesk Certified Professional are considered an added value.
</li>Fluent in English (Arabic proficiency is an advantage).<br>
<li>
</li></ul><p></p><p><b>Key Competencies:
</b></p><ul><li>Data Management and Analytics
</li><li>Client Engagement and Solution Leadership
</li><li>Programming and Automation
</li><li>System Integration and Data Architecture
</li><li>Problem Solving and Innovation
</li><li>Digital PMO Infrastructure Enablement
</li><li>Accountability and Ownership
</li><li>Quality Assurance and Documentation
</li>Team Mentorship<br>
<li>
</li></ul><p></p><p><b>Emerging Technologies, Data Intelligence, and AI Competencies:
</b></p><p>The following competencies reflect the role&rsquo;s involvement in designing and integrating AI-enabled systems and data intelligence frameworks:
</p><ul><li>Experience developing or deploying AI-driven data models using Azure ML, TensorFlow, or equivalent.
</li><li>Hands-on experience with Power Platform AI tools (Power Automate, Power BI AI visuals).
</li><li>Capability to configure predictive analytics dashboards combining BIM, GIS, and IoT data.
</li><li>Familiarity with OpenAI or Azure OpenAI APIs for task automation and natural language processing integration.
</li><li>Knowledge of computer vision and AI image analytics for progress tracking and object detection.
</li><li>Understanding of semantic data structuring and knowledge graphs for interoperability.
</li>Preferred certifications: Microsoft Certified Data Engineer Associate, AI-900, or Autodesk Platform Services Developer.<br>
<li>
</li></ul><p></p><p><b>KPIs:
</b></p><ul><li>Successful deployment of configured client solutions
</li><li>Integration success rate
</li><li>Reduction in manual data handling
</li><li>Client satisfaction and repeat commissions
</li><li>Number of automation or integration workflows deployed
</li><li>Deployment of Digital PMO data infrastructure and dashboards</li></ul></div>

Digital Solutions Integration Specialist

MASTER-WORKS

<div><h3 class="jobSectionHeader"><b>Role Summary</b></h3><p>
The Expert Data Scientist is responsible for developing advanced AI and machine learning models, performing complex data analysis, designing end-to-end AI solutions, and supporting technical teams in delivering data-driven initiatives. The role requires strong technical expertise, analytical depth, and the ability to translate data into impactful solutions.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
1. Data Analysis &amp; Modeling</b></h3><ul>
<li>Collect, clean, transform, and analyze data from different sources.
</li><li>Perform exploratory data analysis (EDA) to identify trends and patterns.
</li><li>Design, develop, and validate machine learning and AI models.
</li><li>Select appropriate algorithms and techniques for each use case.
</li><li>Evaluate model performance using industry-standard metrics (Accuracy, Precision, Recall, F1, AUC).
</li><li>Optimize and fine-tune models to enhance performance.
</li></ul><h3 class="jobSectionHeader"><b>2. Solution Implementation</b></h3><ul>
<li>Deploy machine learning models into production environments.
</li><li>Collaborate with Data Engineers and MLOps engineers on pipelines and deployment workflows.
</li><li>Build scalable data pipelines for processing large datasets.
</li><li>Monitor and update deployed models to ensure continuous performance.
</li></ul><h3 class="jobSectionHeader"><b>3. Technical Project Support</b></h3><ul>
<li>Provide expert consultation on AI solutions and model design.
</li><li>Identify required data sources and support the data acquisition process.
</li><li>Participate in technical discussions with clients and internal teams.
</li><li>Support User Acceptance Testing (UAT) from a technical perspective.
</li></ul><h3 class="jobSectionHeader"><b>4. Documentation &amp; Reporting</b></h3><ul>
<li>Document modeling processes, methodologies, and analytical results.
</li><li>Prepare technical reports and present findings clearly to technical and non-technical audiences.
</li><li>Maintain proper documentation for model design and deployment.
</li></ul><p></p><p><b>Requirements</b></p><p><b>
Language Requirement:</b> Fluent Arabic (mandatory)<br>
<b>Experience Level:</b> 5+ years in Data Science / AI / Machine Learning<br>
<b>Sector:</b> AI projects, digital transformation, advanced analytics<br>
<b>Education:</b> Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field</p><p><br>
<b>Preferred Certifications:</b></p><ul>
<li>
Machine Learning / Deep Learning
</li><li>Data Science Certifications
</li><li>AI &amp; ML specializations
</li></ul><p></p><p><b>Required Skills &amp; Expertise</b></p><ul>
<li>
Deep knowledge of machine learning, deep learning, and data science methodologies.
</li><li>Strong proficiency in:
</li><li><ul><li><b>Python</b> (essential)
</li></ul></li><li>Experience with ML and data libraries:
</li><li><ul><li>TensorFlow or PyTorch
</li><li>Scikit-learn
</li><li>Pandas, NumPy
</li></ul></li><li>Hands-on experience with visualization tools:
</li><li><ul><li>Power BI, Tableau
</li></ul></li><li>Understanding of MLOps concepts and data engineering fundamentals.
</li><li>Experience working with large datasets and implementing data mining techniques.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Preferred Experience</b></h3><ul>
<li>Previous experience in Saudi Arabia (public or private sector).
</li><li>Experience in AI projects involving vision, NLP, or sensor data.
</li><li>Familiarity with end-to-end AI development lifecycle.</li></ul></div>

Expert Data Scientist (Arabic Speaker) - Immediate Joining

Oracle

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Oracle Cloud Infrastructure Internship Program
  <br/>
  <br/>
 </strong>
 <strong>
  Location: Riyadh, Saudi Arabia | Duration: 12 months
  <br/>
  <br/>
 </strong>
 Shape the Future of Enterprise Technology
 <br/>
 <br/>
 Join Oracle Cloud Infrastructure (OCI) team and launch your career at the forefront of cloud computing, artificial intelligence, and data platform innovation. This comprehensive internship program is designed for ambitious fresh graduates ready to work on technology that powers the world largest enterprises.
 <br/>
 <br/>
 What You Will Do
 <br/>
 <br/>
 Work alongside world-class engineers on Oracle Cloud Infrastructure 150+ services, including cutting-edge AI and machine learning platforms, modern data analytics solutions, and enterprise-grade cloud services. You will contribute to real projects from day one, developing both technical expertise and leadership skills that will define your career.
 <br/>
 <br/>
 <strong>
  Key Focus Areas:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cloud Infrastructure: Master the fundamentals of enterprise cloud computing and distributed systems
  </li>
  <li>
   Artificial Intelligence: Work with Oracle Generative AI services, machine learning models, and AI-powered business solutions
  </li>
  <li>
   Data Platform: Build and optimize data pipelines, analytics platforms, and database solutions that process trillions of transactions
  </li>
  <li>
   Enterprise Development: Contribute to software systems serving millions of users worldwide
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Skills You Will Develop
 <br/>
 <br/>
 <strong>
  Technical Competencies:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cloud-native development and microservices architecture
  </li>
  <li>
   AI/ML engineering and model deployment
  </li>
  <li>
   Data engineering and real-time analytics
  </li>
  <li>
   Enterprise software development and DevOps practices
  </li>
  <li>
   Security and compliance in cloud environments
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Leadership Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strategic thinking and problem-solving
  </li>
  <li>
   Cross-functional collaboration and communication
  </li>
  <li>
   Project management and execution
  </li>
  <li>
   Innovation and entrepreneurial mindset
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Your Growth Journey
 <br/>
 <br/>
 <ul>
  <li>
   Months 1-3: Foundation building with comprehensive training and mentorship
  </li>
  <li>
   Months 4-6: Specialization in your areas of interest with increasing project responsibility
  </li>
  <li>
   Months 7-9: Lead innovation initiatives and mentor newer team members
  </li>
  <li>
   Months 10-12: Drive significant projects and prepare for full-time career opportunities
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Why Oracle?
 <br/>
 <br/>
 <ul>
  <li>
   Global Impact: Your work will serve billions of users and power critical business operations worldwide
  </li>
  <li>
   Innovation Culture: 40+ years of technology leadership with continuous investment in emerging technologies
  </li>
  <li>
   Career Development: World-class mentorship, training programs, and clear paths for advancement
  </li>
  <li>
   Diverse Community: Inclusive environment with colleagues from every continent and academic background
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 What We Are Looking For
 <br/>
 <br/>
 <ul>
  <li>
   Recent graduates from any academic background with demonstrated interest in technology
  </li>
  <li>
   Strong problem-solving abilities and eagerness to learn new technologies
  </li>
  <li>
   Excellent communication and collaboration skills
  </li>
  <li>
   Passion for building technology that makes a meaningful impact
  </li>
  <li>
   Growth mindset and resilience in fast-paced environments
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Ready to Begin?
 <br/>
 <br/>
 This internship offers more than just work experience&mdash;it is your gateway to a career defining the future of enterprise technology. Join Oracle mission to democratize access to enterprise-grade cloud computing, AI, and data analytics.
 <br/>
 <br/>
 <strong>
  Apply today and take the first step toward becoming a leader in cloud technology innovation.
  <br/>
  <br/>
 </strong>
 Oracle is an Equal Opportunity Employer committed to diversity and inclusion.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Career Level - IC0
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 <br/>
 <br/>
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 <br/>
 <br/>
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 <br/>
 <br/>
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 <br/>
 <br/>
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>


Oracle Internship Cloud Sales

Mindsets

<div><p><b>Location: </b>KSA (with travel across GCC)</p><p></p><p><b><br>
About Mindsets</b></p>
<p>
The Mindsets Technology unit operates as an expanded Value-Added Reseller (VAR) for cutting-edge technology partners. Our current focus is on bringing advanced technology solutions to the GCC market, specifically the Kingdom of Saudi Arabia. We serve clients in industrial sectors including manufacturing, logistics and distribution centers, and smart buildings with AI-powered solutions leveraging Industrial IoT, predictive maintenance, and edge analytics.</p><br>
<p><b>
The Role</b></p>
<p>
The Technical Sales Manager serves as the critical technical validation engine in our sales process, combining technical expertise with business development acumen. You will be the primary technical resource for the sales team, responsible for understanding operational challenges and architecting comprehensive solutions for our clients. This role requires system level technical capability in IoT systems, AI/ML analytics, and industrial asset management, and high client engagement and solution selling skills.</p>
<p>
You will lead the journey from discovery and solution architecture through product demonstrations, technical documentation, and Proof of Concept (PoC) management.</p><br>
<p><b>
Key Responsibilities</b></p>
<p><b>
Solution Design &amp; Architecture</b></p>
<ul>
<li>Conduct comprehensive technical discovery sessions with clients to uncover operational challenges, asset health issues, and business drivers related to predictive maintenance, IIoT, and industrial analytics</li>
</ul><ul><li>Design and architect tailored solutions that address specific client needs, incorporating sensor networks, edge computing, cloud platforms, and AI analytics</li>
</ul><ul><li>Perform asset criticality assessments and prioritization using condition monitoring data and analytics tools</li>
</ul><ul><li>Develop detailed Solution Design Documents (SDDs) and Statements of Work (SOWs) that outline technical approach, system architecture, integration requirements, and implementation roadmap</li>
</ul><ul><li>Collaborate cross-functionally with product, software, data science, and engineering teams to refine solution designs and ensure technical feasibility</li>
</ul>
<p><b>Technical Validation &amp; Demonstration</b></p>
<ul>
<li>Conduct expert-level product demonstrations and technical workshops showcasing AI-powered predictive maintenance, condition monitoring, and optimization capabilities</li>
</ul><ul><li>Translate complex technical concepts including vibration analysis, thermal imaging, spectral data, and machine learning models for both technical and executive audiences</li>
</ul><ul><li>Provide diagnostic insights</li>
</ul>
<p><b>Proof of Concept Management</b></p>
<ul>
<li>Own the complete PoC lifecycle from scoping and planning through execution, analysis, and final presentation</li>
</ul><ul><li>Analyze raw operational and maintenance data collected through platforms</li>
</ul><ul><li>Develop and present findings with clear recommendations</li>
</ul><ul><li>Document PoC results with quantifiable business outcomes and technical performance metrics</li>
</ul>
<p><b>Systems Integration &amp; Technical Implementation</b></p>
<ul>
<li>Ensure seamless integration with existing client systems</li>
</ul><ul><li>Work with internal and partner technical teams to address data connectivity, API requirements, and interoperability challenges</li>
</ul><ul><li>Support cloud and edge configuration across AWS, Azure, or hybrid environments</li>
</ul><ul><li>Provide guidance on networking requirements, cybersecurity considerations, and IT/OT convergence</li>
</ul>
<p><b>Client Engagement &amp; Technical Advisory</b></p>
<ul>
<li>Serve as the trusted technical advisor throughout the sales cycle, building credibility through domain expertise and practical problem-solving</li>
</ul><ul><li>Bridge between client stakeholders and internal/partner engineering teams, translating business requirements into technical specifications</li>
</ul><ul><li>Own technical responses for all RFPs, RFIs, and technical questionnaires</li><br>
</ul>
<p><b>Required Qualifications &amp; Experience</b></p>
<p><b>
Technical Expertise</b></p>
<ul>
<li>5+ years in a pre-sales engineering, solutions architecture, or technical consulting role serving enterprise clients with AI/IIoT solutions</li>
</ul><ul><li>Strong domain knowledge in Industrial Internet of Things (IIoT), predictive maintenance, condition monitoring, and Industry 4.0 technologies</li>
</ul><ul><li>Deep technical understanding of industrial assets including pumps, motors, gearboxes, and other rotating equipment</li>
</ul><ul><li>Practical knowledge of AI/ML solution implementation including data collection, feature engineering, model training, and deployment</li>
</ul><ul><li>Hands-on experience with data analytics and visualization tools (Power BI, Tableau, Grafana) to support PoC delivery</li>
</ul>
<p><b>Business &amp; Sales Acumen</b></p>
<ul>
<li>Proven track record of successfully designing and delivering technical PoCs that resulted in closed business</li>
</ul><ul><li>Ability to quantify solution value, calculate ROI, and articulate business cases for technical investments</li>
</ul><ul><li>Experience developing technical proposals, SDDs, and SOWs for complex enterprise solutions</li>
</ul><ul><li>Presentation and communication skills with ability to influence stakeholders</li>
</ul>
<p><b>Education</b><b>,</b><b> </b><b>Certifications</b><b> </b><b>and Skills</b></p>
<ul>
<li>Bachelor's degree in Mechanical, Electrical, Industrial, or Systems Engineering, or related technical field</li>
</ul><ul><li>Professional certifications such as CMRP (Certified Maintenance &amp; Reliability Professional), CRE (Certified Reliability Engineer)</li>
</ul><ul><li>Previous experience in reliability or maintenance engineering within manufacturing, energy, oil &amp; gas, or transportation industries</li>
</ul><ul><li>Familiarity with industrial control systems, SCADA environments, CMMS platforms</li>
</ul><ul><li>Experience implementing solutions in GCC markets</li></ul></div>

Technical Sales Manager

TMC Middle East

<div>
 <p>
  TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a highly capable expert to join our client for this prestigious assignment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Position: Senior AI &amp; Data Scientist
 </p>
 <p>
  Location: Onsite &ndash; Riyadh, Saudi Arabia
 </p>
 <p>
  Experience: 10+ Years
 </p>
 <p>
  Department: Data &amp; AI Department
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  <br/>
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  TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
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  <br/>
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  <strong>
   <u>
    Qualifications:
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  </strong>
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  <br/>
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  - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
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  libraries (Pandas, NumPy).
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  - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
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  Internal Only
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  optimization).
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  - Familiarity with containerized deployments (OpenShift, Docker).
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  - Experience building APIs/microservices (FastAPI, Flask) for model integration.
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  - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
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  deployments.
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  - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
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  - Working understanding of Agile delivery frameworks (Scrum/Kanban).
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  Consulting &amp; Behavioral Skills
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  - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
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  outputs to diverse audiences.
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  - Professional, composed, and business-aware consulting demeanor.
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  - Strong collaboration and documentation discipline within Agile teams.
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  - Demonstrated curiosity and commitment to continuous learning and innovation.
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  - Self-driven, structured, and dependable under PMO governance.
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  <br/>
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  - Master&rsquo;s degree in computer science, Data Science, or related field.
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  - 10+ years of professional experience, including 5+ years in AI/ML delivery.
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  - Prior experience in enterprise or industrial AI projects preferred.
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  - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
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</div>


Data Scientist

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