project engineer

planning engineer

estimation engineer

technical engineer

mechanical engineer

applied ai engineer

Fuse Energy

<div><p>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.<br>
<br>
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.<br>
<br>
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.<br>
<br>
We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.</p><h3 class="jobSectionHeader"><b><br>
</b><br>
<b>Responsibilities</b></h3><ul>
<li>Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)</li>
<li>Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows</li>
<li>Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms</li>
<li>Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing</li>
<li>Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts</li>
<li>Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space</li>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively<br>
<li>
</li></ul><p><b>Requirements</b></p><ul><li>
Minimum 3 years of engineering experience</li></ul><ul>
<li>Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning</li>
<li>Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li>
<li>Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li>
<li>Solid understanding of cloud technologies, containerisation and building scalable AI applications</li>
<li>Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li>
<li>Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li>
<li>Experience working with large datasets, particularly in relation to demand and supply forecasting</li>
</ul><p><b>Bonus</b></p><ul>
<li>Experience or strong interest in energy markets and trading strategies</li>
<li>Understanding of weather forecasting, energy demand patterns, and production modelling</li>
<li>Exposure to Natural Language Processing (NLP) or other related fields</li>
</ul><p><b>Benefits</b></p><ul>
<li>Competitive salary and an equity sign-on bonus</li>
<li>Biannual bonus scheme</li>
<li>Fully expensed tech to match your needs</li>
<li>Paid annual leave</li>
<li>Breakfast and dinner for office based employees</li></ul></div>

Applied AI Engineer

Deriv.com

<div><p>Job Information</p>
<ul><div><p>Job Opening ID</p>
<div>ZR_2120_JOB
</div></div><div><p>Date Opened</p>
<div>22/09/2025
</div></div><div><p>Industry</p>
<div>Engineering
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>City</p>
<div>Dubai
</div></div><div><p>Country</p>
<div>United Arab Emirates</div></div></ul></div>
<br><div><p>Job Description</p>
<div><div>Deriv is an AI-first company, transforming trading through cutting-edge technology. We are seeking a highly skilled Applied AI Engineer to join our dynamic team. You will play a key role in designing, developing, and deploying AI-driven solutions that power our internal tools, marketing automation, and security infrastructure.</div><div></div><div><br>
AI is being embedded into our company DNA, across every department. For further information, please read our guide: &lsquo;AI at Deriv:How we&rsquo;re transforming fintech with AI&rsquo;.</div><p></p><div><b><br>
Your challenges:</b></div><div></div><div><br>
AI Solution Development
<br>
</div><ul><li>Design, build, and operate agentic LLM applications with tool-use/function calling, planning, memory, and structured outputs with versioned prompts.<br>
</li><li>
Implement RAG pipelines (hybrid dense+sparse retrieval, reranking); manage vector indices and the embedding lifecycle.<br>
</li><li>
Integrate models with internal services and third-party APIs via tool adapters; enforce schema contracts and access controls.<br>
</li><li>
Lead feature work in recommendation/ranking, content generation/editing, and workflow orchestration backed by measurable eval metrics.<br>
</li></ul><div>
Security &amp; Automation<br>
</div><ul><li>
Build AI-driven security automations: classifiers/anomaly detectors, red-teaming harnesses, and (where appropriate) autonomous testing agents.<br>
</li><li>
Implement safety &amp; privacy controls: prompt-injection/jailbreak defenses, PII redaction, policy filtering, and auditability.<br>
</li><li>
Stand up real-time tracing &amp; alerts on token/latency/cost, retrieval degradation, drift, and hallucination risk.<br>
</li></ul><div>
Project &amp; Task Management<br>
</div><ul><li>
Own model/prompt/agent versioning and ship via CI/CD with canaries/A-B, rollback plans, and clear SLOs (quality, latency, cost).<br>
</li><li>
Evolve workflows: PR-based changes to prompts/configs, experiment tracking, concise design docs, and ADRs (decision records).<br>
</li></ul><div>
Quality Assurance &amp; Code Review<br>
</div><ul><li>
Enforce evaluation-first development: golden sets, synthetic probes, regression tests for prompts, grounding/faithfulness checks.<br>
</li><li>
Review for determinism, observability, and reproducibility; address tech debt with a bias to stability and measured impact.<br>
</li></ul><div>
Collaboration &amp; Mentorship<br>
</div><ul><li>
Partner with platform/data teams on data contracts, retrieval standards, and tenancy/access control.<br>
</li><li>
Mentor peers on agent patterns, RAG, prompt engineering, and safe rollout; lead design reviews and share practical research findings.<br>
</li></ul><div>
Continuous Improvement<br>
</div><ul><li>
Benchmark and integrate new model families/tools via standardized bake-offs; report quality&ndash;latency&ndash;cost trade-offs.<br>
</li><li>
Optimize serving with adapters/LoRA, distillation/quantization, routing/caching/speculative decoding; right-size infra for cost/perf.<br>
</li><li>
Track industry and research trends; convert into pragmatic, incremental stack upgrades.</li></ul><p></p><div><b><br>
Requirements:</b><br>
</div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.<br>
</li><li>
Strong programming skills in Python, JavaScript/TypeScript, or similar languages.<br>
</li><li>
Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).<br>
</li><li>
Hands-on experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes).<br>
</li><li>
Solid understanding of security best practices and experience with security automation is a plus.<br>
</li><li>
Excellent problem-solving, communication, and leadership skills.<br>
</li><li>
Experience with task management and code collaboration tools (GitHub, Jira, ClickUp, etc.).<br>
</li><li>
Ability to work independently and as part of a fast-paced, collaborative team.<br>
</li></ul><div>
Nice to Have<br>
</div><ul><li>
Experience in AI/ML engineering, with a proven track record of delivering production-grade solutions.<br>
</li><li>
Experience with marketing automation, content generation, or design systems.<br>
</li><li>
Familiarity with Figma, Supabase, or similar platforms.<br>
</li><li>
Contributions to open source AI/security projects.<br>
</li><li>
Prior experience in a high-growth tech or fintech environment.</li></ul><p></p><div><b><br>
Benefits</b></div><div></div><div><br>
We pay competitive salaries based on your skills, qualifications, experience and market rates. Additionally, you&rsquo;ll be eligible for an annual bonus based on individual and company performance.</div><div></div><div><br>
When you join Deriv, you will be supported in growing your career in our company. You can expect to have a personalised Learning and Development programme as well as the costs covered for relevant professional development and education related to advancing your career at Deriv.</div><p></p><div><br>
You&rsquo;ll be based at our modern office in Dubai&rsquo;s prestigious Business Bay, a key centre for Deriv&rsquo;s Middle Eastern operations. Our Dubai office is home to over 200 talented professionals from diverse nationalities, creating a truly global workplace. You&rsquo;ll thrive in an expat-friendly environment that celebrates diversity and encourages cross-cultural collaboration, with regular knowledge-sharing sessions and team events.</div><div></div><div><br>
Dubai&rsquo;s position as a global business hub, combined with its tax-free benefits, ultramodern lifestyle, and family-friendly environment with excellent schools and healthcare, creates the perfect setting for international professionals. Join us in Dubai to shape the future of online trading while experiencing life in one of the world&rsquo;s most dynamic and cosmopolitan cities.</div><div></div><div><br>
Our culture is unique, and we live by our values and leadership principles, so it's worth learning more about Deriv's culture.</div><br>
<p></p>
Deriv is an equal opportunity employer committed to diversity and inclusion. We take pride in our Great Place to Work and IIP Platinum certifications, which reflect our commitment to creating an exceptional work environment. Join us and help build the future of online trading while working alongside top talent from over 96 nationalities</div></div><p></p>

Involved Solutions

<div>
 <p>
  We have partnered with a high-growth FinTech company in Dubai to recruit a Senior Data Scientist. This role will focus on developing AI/ML models that directly impact customer analytics, fraud prevention, and product innovation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  About the role
 </p>
 <ul>
  <li>
   Build, test, and deploy predictive and machine learning models for fintech use cases.
  </li>
  <li>
   Work with large-scale transactional and customer datasets to deliver actionable insights.
  </li>
  <li>
   Lead experimentation and A/B testing to optimise products and user journeys.
  </li>
  <li>
   Partner with engineering teams to scale models into production and monitor performance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  About you
 </p>
 <ul>
  <li>
   Masters in Data Science, Statistics, or Applied Mathematics.
  </li>
  <li>
   6+ years of data science experience, with strong focus on AI/ML model development.
  </li>
  <li>
   Excellent knowledge of Python, SQL, and data visualisation tools.
  </li>
  <li>
   Experience with financial services datasets (fraud detection, credit scoring, or risk modelling).
  </li>
  <li>
   Ability to translate technical solutions into business impact for non-technical stakeholders.
  </li>
 </ul>
</div>


Senior Data Scientist

e& UAE

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are seeking a dynamic and forward-thinking Senior Product Development Manager to lead the design, development, and launch of innovative products and AI based solutions that can complement existing core services and unlock new revenue streams.
 <br/>
 <br/>
 The ideal candidate should have a clear understanding of the telecom industry, systems architecture, Network automation and an applied experience with API monetization and AI productization.
 <br/>
 <br/>
 This role is pivotal in driving our company&rsquo;s digital transformation, delivering differentiated offerings to our B2B customers, and creating new revenue streams.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Product Innovation &amp; Strategy
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify evaluate, and conceptualize new AI product opportunities and how those can complement and integrate with existing core Voice and Data Mobile services.
  </li>
  <li>
   Unlock new streams by productizing on existing and new APIs for differential product offerings.
  </li>
  <li>
   Define the product roadmap in alignment with company strategy, market needs, and customer expectations.
  </li>
  <li>
   Drive idea-to-market lifecycle management: concept, design, business case, development, testing, launch, and scaling.
  </li>
  <li>
   Develop/own the business use cases and detailed business requirements document covering customer journeys in full alignment with customer experience guidelines.
  </li>
  <li>
   Guide on high level concept feasibility/architecture as a grooming phase prior to sharing concepts with IT.
  </li>
  <li>
   Maintain knowledge of current and emerging trends in the industry, including all advancements that might be incorporated as new features/capabilities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Leadership &amp; Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead cross-functional teams (product managers, engineers, designers, project managers) to deliver successful products on time and within budget.
  </li>
  <li>
   Collaborate with internal stakeholders (technology, marketing, sales, operations, finance) and external partners (vendors, partners and suppliers).
  </li>
  <li>
   Foster a culture of innovation, agility, and customer-centricity within the product development unit.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Execution &amp; Delivery
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure delivery of high-quality products that meet KPIs such as time to market, revenue growth, adoption and NPS.
  </li>
  <li>
   Oversee product launch plans, including GTM strategy, GTM checklist, and post-launch enhancements while ensuring compliance to processes and guidelines.
  </li>
  <li>
   Apply Agile methodologies and best practices to product development processes.
  </li>
  <li>
   Managing process and documentation jointly with IT for RFP/RFI/RFQ and deciding on vendor/partner selection.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Customer analytics and reporting
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conduct market research and competitor analysis to anticipate industry trends.
  </li>
  <li>
   Translate customer needs into clear product requirements and user stories.
  </li>
  <li>
   Leverage data analytics and AI-driven insights to optimize product performance.
  </li>
  <li>
   Compiling regular data analysis activities using different tools such as excel, power BI, Tableau, SQL or similar for monitoring product performance.
  </li>
  <li>
   Monitor and report launch performance metrics and provide insights into bottlenecks and corrective actions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum Requirements
  </li>
  <li>
   Education: Bachelor&rsquo;s degree in Business, Engineering, Computer Science, or related field.
  </li>
  <li>
   Master&rsquo;s degree (MBA or equivalent) preferred.
  </li>
  <li>
   Experience:
  </li>
  <li>
   8 to 10 years of experience in product management, product development as either a product architect, solution architect, product owner/manager and preferably in telecom, technology, or similar industries
  </li>
  <li>
   Experience managing cross functional teams
  </li>
  <li>
   Practical Experience in the following fields/Domains is a MUST either as product architect product owner or technical expert: &squf; AI/Data (ML, LLM, CVM, RPA) to be able to architect and develop AI/Data based products like CVM as a Service, RPA as A Service and other similar AI based or related offerings.
  </li>
  <li>
   API monetization
  </li>
  <li>
   Core voice and Data mobile solutions
  </li>
  <li>
   Experience with 5G, IOT and M2M services is preferred.
  </li>
  <li>
   Applied experience in preparing powerful
  </li>
 </ul>
</div>


Sr. Manager/Personal Communication Product Development

Naffco

<div></div><div><p><i>Experience:</i> 2 - 8 yrs. | Opening: 1
<br>
<i>Education:</i>Any Graduation<br>
<i>Nationality:</i> Any Nationality<br>
<i>Industry Type:</i>Industrial Products / Heavy Machinery<br>
<i>Functional Area:</i>Software Development / Application Development (IT Software) Sep 16,2025<br>
</p><p></p><div><div>
</div></div><div></div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<p></p><div><p><b>Job Purpose:</b></p><p>
To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle &mdash; from model training to deployment &mdash; ensuring scalable and business-aligned solutions.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities:</b></h3><ul><li><b>AI Module Development &amp; Integration</b> &ndash; Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.</li><li><b>Machine Learning Model Lifecycle</b> &ndash; Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.</li><li><b>System &amp; Platform Integration</b> &ndash; Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.</li><li><b>Model Training</b>&ndash; Prepare data, select algorithms, and train models with high accuracy and scalability.</li><li><b>Production Deployment</b> &ndash; Deploy, monitor, and optimize ML models in production environments (cloud and edge).</li><li>Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.</li></ul><h3 class="jobSectionHeader"><b><br>
Qualifications &amp; Skills:</b></h3><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>Strong expertise in <b>AI/ML frameworks</b> (TensorFlow, PyTorch, Scikit-Learn).</li><li>Proven hands-on experience in <b>ML model training and production deployment</b>.</li><li>Solid understanding of <b>IoT/IIoT platforms</b> (AWS IoT, Azure IoT, or custom).</li><li>Experience in <b>data engineering &amp; API integration</b>.</li><li>Familiarity with <b>cloud platforms</b> (AWS, Azure, GCP) and <b>containerization</b>(Docker, Kubernetes).</li></ul><h3 class="jobSectionHeader"><b>
Key Competencies:</b></h3><ul><li>End-to-end ownership of ML model lifecycle.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to bridge technical solutions with business impact.</li></ul><br>
<p></p>
</div><p></p><div>Keyword: AI Software Developer,AI,AI Platform Engineer,IoT,AI Solutions Architect,Machine Learning,AI Engineer,Deep Learning,AI Module Developer,AI Systems Engineer,IoT AI Specialist,Machine Learning Engineer,Embedded AI Engineer,TensorFlow,PyTorch</div></div><p></p>

AI Module Development Engineer – IoT & Digital Platforms

GW Design & Distribution INC

<p><b>Odoo 18 E-Commerce / Website Developer (Theme + OWL Expert)</b></p><p>Fully Remote | Above-Market Pay | Immediate Joiners Prioritized</p><p>We&rsquo;re looking for an Odoo 18 powerhouse&mdash;someone who lives and breathes e-commerce, website design, and UI/UX perfection. You&rsquo;ll be our go-to expert for theme development, custom web flows, and OWL-powered front-ends that don&rsquo;t just look good&mdash;they convert.</p><p><b>Who We Are</b></p><p>We&rsquo;re building an always-on ERP + AI marketplace platform that runs across the USA, UAE, UK, EU, and Asia. Our ecosystem powers:</p><ul><li>Multi-brand B2B/B2C marketplaces</li><li>Inventory, 3PL / 4PL logistics &amp; dropshipping</li><li>Real-time analytics &amp; AI-powered customer flows</li><li>Odoo 18 + next-gen LLM integrations (think GPT-4, RAG, autonomous AI agents)</li></ul><p>We move fast. We pay above market. And we expect engineers to own code and outcomes&mdash;not just tickets.</p><p><b>Your Mission</b></p><ul><li>Own our entire Odoo 18 website/e-commerce codebase.</li><li>Build high-converting, beautiful, and blazing-fast themes from scratch.</li><li>Architect front-end flows that merge OWL components with clean, reusable logic.</li><li>Push the boundaries of Odoo UI/UX with a design-first mindset.</li><li>Collaborate with AI engineers to build next-gen customer experiences inside Odoo.</li></ul><p><b>You&rsquo;re the right fit if you</b></p><ul><li>Have extensive Odoo 18 website &amp; e-commerce experience.</li><li>Are a theme development wizard&mdash;custom layouts, pixel-perfect design, responsive magic.</li><li>Know OWL like the back of your hand.</li><li>Have killer UI/UX taste&mdash;you&rsquo;ve built sites that wow at first click.</li><li>Thrive in fast-moving, zero-bureaucracy teams.</li></ul><p><b>Why Join Us?</b></p><ul><li>Above-market salary&mdash;we value top talent and pay for it.</li><li>Fully remote&mdash;work from anywhere, results matter more than hours.</li><li>Immediate impact&mdash;your code will ship to production in days, not months.</li><li>Cutting-edge AI integration&mdash;RAG, GPT-4, and autonomous agents inside Odoo.</li><li>No red tape&mdash;direct ownership and decision-making power.</li><li>Greenfield project&mdash;no legacy mess, just clean architecture from day one.</li><li>Immediate joiners get priority consideration.</li></ul><p><b>How to Apply</b></p><ul><li>Submit your Application with portfolio/GitHub + CV directly via our career page. only candidate who applied on our website will be considered.</li><li>Link to Apply: https://gw-design.odoo.com/jobs/apply/odoo-18-e-commerce-website-developer-74</li></ul><p>Job Type: Full-time</p><p>Expected Start Date: 15/09/2025</p>

Odoo 18 E-Commerce / Website Developer

Shamal LLC

<div>Overview:
<p>
Shamal Holding is a diversified investment firm that cultivates the extraordinary. Born in Dubai, we curate a unique portfolio of extraordinary investments, experiences and assets to generate meaningful outcomes. The investments we make are strategically chosen and thoughtfully nurtured, mirroring Dubai&rsquo;s ambition, spirit and energy. As a global investor, asset owner and developer we utilise our resources, know-how and connections, to deliver long-term value, wherever we operate.</p><p><br>
As Shamal Holding continues to grow, we&rsquo;re in search of a <b>Associate Director &ndash; Artificial Intelligence</b>. This role will develop strategies and implement AI strategies, manage projects, communicate complex concepts, collaborate with teams, and ensure the successful delivery of AI initiatives, while enhancing the automation to autonomous journey and experience.</p>
Responsibilities:
<ul><li>Develop AI strategies through applied knowledge of how to build successful outcomes aligned with organisational goals, further translating them into detailed AI project roadmaps and implementation plans to guide the organisation&rsquo;s AI initiatives.</li><li>
Communicate complex AI concepts and technical details to non-technical stakeholders in a clear and understandable manner, and lead the identification of opportunities where AI can add value or solve existing problems.</li><li>
Manage the delivery of AI projects from inception, proof of concept, through to deployment, including requirements gathering, data preparation, model training, and integration.</li><li>
Collaborate with data scientists, engineers, and business analysts to ensure cohesive and effective AI solution development.</li><li>
Facilitate knowledge sharing and training sessions to enhance team understanding and adoption of AI technologies.</li><li>
Define KPIs and evaluate the impact of AI initiatives on business objectives.</li><li>
Establish partnerships with leading academic institutions, technology vendors, and startups to enhance the organisation&rsquo;s AI capabilities.</li><li>
Where required, be hands-on in developing MVPs and products to support the organisation&rsquo;s AI journey.</li></ul><div></div><div><b><br>
Financials Responsibilities (CAPEX and OPEX Budgets incl. manpower costs)</b></div><ul><li>
Manage project budgets and resources for the successful delivery of AI projects.</li><li>
Manage net EBITDA impact through AI-led transformation value creation.</li></ul><div></div><div><b><br>
People Responsibilities
</b></div><ul><li>Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.</li><li>
In collaboration with the People function, identify and address AI skill gaps, and create opportunities for learning and development for the employees.</li><li>
Mentor AI aspirants, fostering their professional growth, and collaborating with cross-functional teams to share insights to enhance AI literacy across the organisation.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
Minimum of 10 years of experience in the field of IT, with a focus on digital transformation.
</li><li>Relevant AI certifications or executive education.</li><li>
Proven track record of delivering AI-driven business solutions.</li><li>
Deep expertise in machine learning, deep learning, NLP, computer vision, and data science.</li><li>
Practical experience with Python and OSS frameworks like TensorFlow and PyTorch.</li><li>
Knowledge of AI solutions from vendors like OpenAI, Google, and Microsoft.</li><li>
Proficiency in cloud platforms and advanced data modeling techniques.</li><li>
Understanding data security, compliance, and privacy regulations.</li><li>
Strategic mindset to translate AI capabilities into business value.</li><li>
Strong ethical judgment and understanding of responsible AI principles.</li><li>
Excellent stakeholder management and communication skills.</li></ul><div></div><p><b><br>
For more information about Shamal, please visit our LinkedIn page: </b>https://www.linkedin.com/company/shamalholding/</p><p></p><p><b><br>
Note:
</b></p><div>Due to a high influx of profiles, only shortlisted candidates will be contacted.</div></div>

Associate Director - Artificial Intelligence

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1120 applied ai engineer jobs IN Dubai

Applied AI Engineer

Applied AI Engineer

Senior Data Scientist

Sr. Manager/Personal Communication Product Development

AI Module Development Engineer – IoT & Digital Platforms

Odoo 18 E-Commerce / Website Developer

Associate Director - Artificial Intelligence