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ai lead

DW Search

<div>
 <p>
  <strong>
   AI Lead &ndash; Banking (Contract, Dubai / Saudi Arabia Hybrid)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re supporting a major banking transformation programme in the Middle East and are looking for an experienced
  <strong>
   AI Lead
  </strong>
  to drive the delivery of an AI-driven hyper-personalisation initiative. The role requires a balance of technical depth, leadership capability, and client-facing confidence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll act as the local face of the project, representing a distributed team of data engineers and data scientists (based primarily offshore) and working closely with senior business and technology stakeholders within the bank. The ideal candidate will be based in Dubai and willing to travel to Saudi Arabia weekly, or already located in Saudi.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead the design and delivery of AI-based hyper-personalisation solutions within retail banking
  </li>
  <li>
   Manage a team of around seven data engineers and data scientists, ensuring alignment across strategy, delivery, and stakeholder priorities
  </li>
  <li>
   Act as the primary on-site representative for the programme, building strong relationships with client stakeholders and steering project outcomes
  </li>
  <li>
   Translate business needs into scalable AI models and data-driven customer strategies
  </li>
  <li>
   Oversee technical implementation, ensuring quality and consistency across data pipelines, models, and deployment workflows
  </li>
  <li>
   Contribute to ongoing roadmap development and provide technical guidance to both internal and client teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Proven experience leading AI, ML, or data science projects in the banking or financial-services sector
  </li>
  <li>
   Strong background in AI-driven personalisation, recommendation systems, or customer analytics
  </li>
  <li>
   Hands-on technical capability in Python, ML frameworks (TensorFlow, PyTorch, etc.), and data engineering principles
  </li>
  <li>
   Excellent communication and stakeholder-management skills, able to bridge the gap between technical delivery and business value
  </li>
  <li>
   Comfortable working in cross-functional, distributed teams across multiple geographies
  </li>
  <li>
   Willingness to travel to Saudi Arabia on a weekly basis (if Dubai-based)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Contract details
  </strong>
 </p>
 <ul>
  <li>
   Location: Dubai or Saudi Arabia (travel to Saudi Arabia once a week)
  </li>
  <li>
   Duration: Initial 6 months, strong likelihood of extension
  </li>
  <li>
   Day rate: Competitive, tax-free (aligned with Dubai / Saudi contract market)
  </li>
  <li>
   Start: Immediate or within 4 weeks
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  To discuss this opportunity in confidence, please apply with your CV or reach out directly for further details.
 </p>
</div>


AI Lead

NSI Talent

<div>
 <p>
  <strong>
   Principal / Director &ndash; Data &amp; AI (Telco)
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  GCC
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  Our client, a global consulting house, is seeking an experienced
  <strong>
   Principal / Director
  </strong>
  to lead
  <strong>
   Data &amp; AI Execution
  </strong>
  within the telecommunications sector. This role sits within the firm&rsquo;s Data &amp; Analytics practice and will focus on designing and
  <strong>
   implementing
  </strong>
  large-scale data transformation programs for leading
  <strong>
   telecom operators and digital infrastructure players
  </strong>
  across the region.
 </p>
 <p>
  The ideal candidate brings both strategy consulting expertise and hands-on experience driving execution in
  <strong>
   telco data platforms, customer analytics, network intelligence, and AI-enabled operational optimization
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead end-to-end
   <strong>
    Data &amp; AI transformation
   </strong>
   programs for telecom and digital services clients&mdash;from strategy design through program execution.
  </li>
  <li>
   Advise
   <strong>
    C-level
   </strong>
   stakeholders on data platform modernization, AI adoption, customer value management, network automation, and data monetization models.
  </li>
  <li>
   Develop and operationalize
   <strong>
    data operating models
   </strong>
   , enterprise data governance frameworks, and AI deployment roadmaps tailored to telco environments.
  </li>
  <li>
   Oversee delivery teams working across
   <strong>
    customer analytics, network analytics, digital channels, marketing technologies, and cloud data platforms
   </strong>
   .
  </li>
  <li>
   Drive measurable outcomes such as
   <strong>
    revenue uplift, churn reduction, ARPU growth, network cost optimization, and improved customer experience
   </strong>
   .
  </li>
  <li>
   Lead proposal development, account expansion, and pipeline growth within key telco accounts.
  </li>
  <li>
   Collaborate with global telecom, AI, and cloud centers of excellence to bring leading practices and accelerators to client engagements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Experience
  </strong>
 </p>
 <ul>
  <li>
   Consulting experience focused on
   <strong>
    telecom sector Data &amp; AI programs
   </strong>
   (strategy + delivery).
  </li>
  <li>
   Proven ability to translate high-level strategy into
   <strong>
    execution roadmaps and implementation governance
   </strong>
   .
  </li>
  <li>
   Hands-on advisory experience across:
  </li>
  <li>
   Customer &amp; marketing analytics (CVM, churn, segmentation)
  </li>
  <li>
   Network intelligence / predictive maintenance
  </li>
  <li>
   Data platform modernization / cloud migration
  </li>
  <li>
   AI/ML model deployment and scaling in production
  </li>
  <li>
   Strong commercial acumen: proposal shaping, client relationship development, and revenue management.
  </li>
  <li>
   Demonstrated leadership managing multi-disciplinary teams and scaling delivery capability.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   MBA or Master&rsquo;s degree in Business, Engineering, Computer Science, Data Science, or related field.
  </li>
  <li>
   Exceptional communication and stakeholder engagement skills, especially with senior leadership.
  </li>
 </ul>
 <p>
 </p>
</div>


Data & AI Director - TMT

Takamol Holding

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI Model Development &amp; Deployment: Lead design, development, and deployment of ML models, LLMs, and RAG systems with robust pipelines
  </li>
  <li>
   Technology Leadership: Monitor emerging AI technologies, conduct strategic assessments, and drive adoption of cutting-edge AI frameworks and methodologies
  </li>
  <li>
   Business Engagement: Collaborate with business units to identify AI use cases, translate requirements into technical solutions, and present strategic recommendations to executive leadership
  </li>
  <li>
   Team Leadership: Build, lead, and mentor teams of data scientists and ML engineers while fostering innovation and continuous learning
  </li>
  <li>
   AI Governance: Enforce AI governance frameworks, ethical guidelines, and organization-wide AI literacy initiatives
  </li>
  <li>
   Strategic Planning: Develop AI roadmaps, manage project budgets, and coordinate cross-functional initiatives to drive business transformation
  </li>
  <li>
   Innovation Management: Lead proof-of-concept initiatives, establish academic partnerships, and ensure scalable AI infrastructure for production applications
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education &amp; Experience: Bachelor's degree in Computer Science/Data Science/ML or relevant fields (Master's preferred) with 7-10 years progressive AI/ML experience including 3-5 years in leadership roles
  </li>
  <li>
   Technical Expertise: Deep expertise in ML algorithms, LLMs, RAG architectures, and production deployment using frameworks and cloud services (GCP stack preferred)
  </li>
  <li>
   Programming &amp; Data: Expert Python programming, strong SQL skills, experience with big data technologies (Spark, Kafka) and cloud AI platforms
  </li>
  <li>
   Leadership Experience: Proven track record building and scaling technical teams, managing P&amp;L responsibility, and translating business requirements into AI solutions
  </li>
  <li>
   Business Acumen: Strong presentation skills to communicate complex technical concepts to stakeholders, experience with AI governance and regulatory compliance
  </li>
  <li>
   Industry Knowledge: Understanding of AI ethics, bias mitigation, responsible AI practices, and enterprise AI security best practices
  </li>
  <li>
   Preferred Qualifications: Cloud certifications, active conference and event participation and track record of successful AI product launches
  </li>
 </ul>
</div>


AI Director

ريناد المجد

<p><b>About the role</b><br/>Lead design and delivery of end-to-end AI systems (computer vision, generative AI, predictive modeling) and mentor engineering teams.<br/>Senior AI Engineer</p><p><b>Key responsibilities</b></p><ul><li>Design, build and optimize ML/DL models (CV, generative models, predictive analytics).</li><li>Lead MLOps/model lifecycle, training pipelines, deployment and monitoring.</li><li>Work in Agile/Scrum with cross-functional teams and mentor junior engineers.</li><li>Drive architecture decisions and research spikes; integrate Agentic AI where applicable. Senior AI Engineer</li></ul><p><b>Must-have</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in AI/Data Science/CS or related.</li><li><b>5+ years</b> AI/ML engineering experience.</li><li>Strong Python + PyTorch/TensorFlow expertise.</li><li>Experience with large-scale data, feature engineering and MLOps.</li><li>Git, CI/CD, and agile experience. Senior AI Engineer</li></ul><p><b>Nice-to-have</b></p><ul><li>Prior experience with Agentic AI frameworks and multi-agent systems; production experience in CV and generative models. Senior AI Engineer</li></ul><p><b>Benefits</b><br/>Competitive senior salary, leadership opportunities, R&amp;D time, training &amp; conference budget.<br/>Senior AI Engineer</p><p>Job Type: Full-time</p><p>Pay: From &#65020;10.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Riyadh: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Application Question(s):</p><ul><li>What is your notice period in days ?</li><li>What is your salary expectation ?</li><li>Do you live in Riyadh ?</li></ul><p>Experience:</p><ul><li>AI Engineer: 5 years (Required)</li></ul>

Senior AI Engineer

Artefact

<div>
 <p>
  <strong>
   Consulting Director Data &amp; AI (Saudi Arabia and Qatar)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Artefact
  </strong>
 </p>
 <p>
  Artefact is a global Data &amp; AI consulting partner, transforming organisations into data-driven leaders. With over 1,500 specialists across 20+ markets, we combine strategy consulting, digital marketing, and advanced AI innovation to deliver tangible business impact.
 </p>
 <p>
  In the Middle East, we partner with leading public and private sector institutions to design and execute data-powered transformation programs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Consulting Director Role:
  </strong>
 </p>
 <ul>
  <li>
   As a Consulting Director, you will lead strategic data and AI transformation programs for high-impact clients across government and public sector institutions, as well as the telecom, financial services, retail, and energy industries.
  </li>
  <li>
   You will be responsible for driving client success, managing large-scale engagements, developing our regional footprint, and leading multidisciplinary teams to deliver business value through the intelligent use of data and AI.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Consulting Director Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Lead end-to-end Data &amp; AI strategy engagements, from opportunity sizing to roadmap design and value realisation.
  </li>
  <li>
   Build and manage senior-level relationships with Ministers, CXOs, and senior government leaders, acting as a trusted advisor on digital and AI transformation.
  </li>
  <li>
   Deliver high-quality outputs across data governance, cloud platforms, AI/ML industrialisation, and GenAI adoption.
  </li>
  <li>
   Manage large, cross-functional teams (consultants, data scientists, data engineers, media experts, and creatives) to ensure impactful delivery.
  </li>
  <li>
   Identify, develop, and convert new business opportunities within the public and private sectors in KSA and Qatar.
  </li>
  <li>
   Lead commercial proposal development, client pitches, and contract negotiations.
  </li>
  <li>
   Support Artefact&rsquo;s regional growth through thought leadership, events, and executive networking.
  </li>
  <li>
   Coach, mentor, and develop consulting talent across the Middle East, fostering a culture of excellence and collaboration.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Consulting Director Required Experience:
  </strong>
 </p>
 <ul>
  <li>
   Native Arabic speaker (mandatory).
  </li>
  <li>
   7&ndash;8 years of experience in top-tier strategy consulting (e.g., McKinsey, BCG, Bain, Oliver Wyman, Strategy&amp;, Kearney).
  </li>
  <li>
   Experience with the public sector is a must, ideally within government transformation, national digital or data programs.
  </li>
  <li>
   Proven track record in leading large-scale data, AI, or digital transformation engagements in the Middle East.
  </li>
  <li>
   Strong understanding of GCC industries, particularly government, telecom, financial services, and retail.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Artefact?
  </strong>
 </p>
 <ul>
  <li>
   Lead national-scale AI transformation programs in high-growth markets.
  </li>
  <li>
   Collaborate with world-class experts across data, technology, and strategy.
  </li>
  <li>
   Be part of an entrepreneurial, fast-growing team that values innovation and impact.
  </li>
  <li>
   Benefit from accelerated career progression and regional leadership opportunities.
  </li>
 </ul>
</div>


Consulting Director

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


Data Scientist

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>100016397
</div></div><div><div>Career area:
</div><div>Services
</div></div><div><div>Country/Region:
</div><div>Saudi Arabia
</div></div><div><div>State:
</div><div>Riyadh
</div></div><div><div>City:
</div><div>Riyadh
</div></div><div><div>Date:
</div><div>Wednesday, November 5, 2025
</div></div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><br>
<div></div><br>
<div>Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div><br>
<div></div><br>
<div>To find out more visit www.lenovo.com and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements<br>
</b></h3></div></div><div></div><div><div><div><div><div><br>
<div>Take your career to next level!</div><div>
Join Lenovo and act as a SME and technical lead for AI deployments in enterprise environments with Nvidia GPU powered solutions.</div><div></div><div><b><br>
What You will do:</b></div><div><ul><li>
Deploy and configure AI solutions across enterprise platforms
</li><li>Work on a project-based assignment model, ensuring timely and quality delivery.
</li><li>Conduct performance benchmarking and inference tests; optimize AI models for accuracy, performance, scalability, and resource efficiency.
</li><li>Identify and mitigate risks such as hardware, network, or software issues; develop contingency plans.
</li><li>Provide transparent updates, manage scope changes, and address issues with stakeholders.
</li><li>Manage deployment of AI workloads using Nvidia AI Enterprise, PyTorch, and TensorFlow; ensure integration with customer infrastructure.
</li><li>Lead post-deployment handoff, train client/managed services teams on AI infrastructure operations, troubleshooting, scaling, and optimization.
</li><li>Key clients located mostly in Jeddah, Al Khobar, and Riyadh to meet project objectives.
</li>Travel frequently (approximately 50%) to client sites or provide remote support as needed.<br>
<li>
</li></ul></div><div></div><br>
<br>
<div><b>Requirements:</b></div><div><ul><li>
Proficient in deploying AI solutions across enterprise platforms, including VMware ESXi, Docker, Kubernetes, and Linux (Ubuntu/RHEL) and Windows Server environments.</li><li>
Hands on experience in NVIDIA NeMo framework for custom LLM training, fine-tuning (LoRA, QLoRA), RLHF</li><li>
Experience with NVIDIA NIM deployment patterns (microservices, multi-model serving, API gateway)</li><li>
Knowledge of Agentic AI systems: Multi-agent architectures using LangGraph, CrewAI</li><li>
Advanced RAG techniques: Hybrid search, re-ranking, query decomposition, multi-hop reasoning</li><li>
Extensive experience with Nvidia AI Enterprise, GPU-accelerated workloads, and AI/ML frameworks such as PyTorch and TensorFlow.</li></ul><div></div><div><b><br>
What We offer You:</b></div></div><div><ul><li>
An international team with a high focus on Gender Diversity.
</li><li>Employee Assistance Program, e.g., for psychological, legal &amp; financial consultancy
</li><li>You are joining a company that prioritizes sustainable solutions like CO2 Offset, Asset Recovery Services, and the Lenovo Certified Refurbished portfolio.
</li><li>Access to training for personal development. - Internal E-learning Development Platform Available for Employees
</li><li>Mentorship program</li></ul></div><div></div><div><br>
</div></div></div></div><div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div><div><ul><li>Saudi Arabia<br>
</li></ul></div><div></div><div><div><div><br>
<br>
<div><b>AI PROCESSING NOTICE</b></div><div></div><div><br>
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.</div></div></div></div></div></div></div></div>

HCS Nvidia AI consultant

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