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BITECH

Proficiency in Python, TensorFlow, PyTorch, and Hugging Face.<br>  Working with APIs for OpenAI, Anthropic, Cohere, and Stability AI<br>  prompt engineering, fine-tuning LLMs, and RAG techniques<br>  Knowledge of vector databases -FAISS, Pinecone, ChromaDB<br> <br> <p> <b>Required Candidate profile</b> </p>Bachelor's or Master s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.<br>  3+ years of experience in AI, machine learning, or NLP<br><br><div><span style="font-size: 11px;"><b>Role: Data Scientist</b></span></div><div><span style="font-size: 11px;">Industry Type: IT Services &amp; Consulting</span></div><div><span style="font-size: 11px;">Department: Data Science &amp; Analytics</span></div><div><span style="font-size: 11px;">Employment Type: Full Time, Temporary/Contractual</span></div><div><span style="font-size: 11px;">Role Category: Data Science &amp; Machine Learning</span></div><div><span style="font-size: 11px;">Education</span></div><div><span style="font-size: 11px;">UG: B.Tech/B.E. in Artificial Intelligence, Artificial Intelligence And Data Science, Robotics And Automation, Artificial Intelligence And Machine Learning</span></div>

AI Specialist

Confidential Company

<ul><li>Develop and implement AI algorithms and models to improve system performance and user experience.</li><li>Collaborate with cross-functional teams to identify and address AI-related challenges and opportunities.</li><li>Research and stay current on AI technologies and best practices to inform project decision-making.</li><li>Design and conduct experiments to evaluate the effectiveness of AI solutions and optimize for desired outcomes.</li><li>Create and maintain documentation for AI systems, including data models, processes, and performance metric</li><li>Provide technical expertise and support for AI-related projects, including troubleshooting and resolution of issues.</li><li>Communicate complex AI concepts and findings to non-technical stakeholders in a clear and understandable manner</li><li>Conduct in-depth data analysis to extract actionable insights, driving informed decision-making across teams.</li><li>Collaborate with cross-functional teams to integrate AI models into existing systems, enhancing overall operational efficiency.</li><li>Stay updated with the latest developments in AI technology, applying cutting-edge techniques to maintain competitive advantage.</li><li>Develop and deliver comprehensive training materials to educate team members on AI tools and methodologies.</li><li>Engage with stakeholders to understand their needs and translate them into technical specifications for AI projects.</li><li>Lead research initiatives to explore new algorithms and frameworks, contributing to the organization&#x27;s knowledge base.</li><li>Document processes and outcomes meticulously to maintain transparency and facilitate knowledge sharing within teams.</li><li>Being part of a dynamic and supportive work environment, where your skills and expertise will be valued and appreciated</li></ul><br/>

Client of Involved Solutions

<p>Design and implement Generative AI applications across customer service, onboarding, and compliance.</p> <ul> <li>Collaborate with product and engineering teams to integrate LLMs into existing platforms.</li> <li>Build scalable and secure architectures for AI solutions, ensuring data privacy and regulatory alignment.</li> <li>Drive innovation by staying ahead of developments in GenAI and adapting them for business impact.</li> </ul>

Generative AI Specialist

Capgemini Engineering

<div><p>At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
</p><div><div><div><h2 class="jobSectionHeader"><b>Key Respobsibilities
</b></h2></div><div><p>We are looking for an experienced <b>AI/ML expert </b>to develop and deploy intelligent edge computing solutions for real-time monitoring, control, and optimisation of manufacturing process. The focus will be on AI/ML model development, edge-cloud integration, and data-driven process control.
</p><p><b>You will be accountable for:
</b></p><ul><li>Designing and implementing edge computing solution for a manufacturing process, including hardware/software integration and secure cloud connectivity.
</li><li>Developing, training, and deploying machine learning models (e.g., lightweight CNNs, LFMs) for real-time anomaly detection, defect classification, and closed-loop process control on edge devices.
</li><li>Implementing intelligent data filtering and streaming methods to prioritise and transmit high-value process data to the cloud, supporting continuous model improvement.
</li><li>Collaborating with multidisciplinary teams to ensure seamless integration of AI/ML solutions with manufacturing systems.
</li><li>Preparing technical documentation and contribute to scientific publications/white papers
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your Profile
</b></h2></div><div><ul><li>Master's degree in Data Science, Materials Engineering, Mechanical Engineering, or related technical field
</li><li>Minimum 2 years of hands-on experience implementing edge computing solutions, industrial IoT applications, and cloud integration architectures
</li><li>Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced programming skills (Python, C++), and proficiency with data processing tools (OpenCV, GStreamer)
</li><li>Proven experience in developing real-time data analysis systems, implementing anomaly detection algorithms, and designing process control solutions
</li><li>Outstanding analytical capabilities, creative problem-solving approach, and effective communication skills across technical and non-technical audiences
</li><li>Working knowledge of manufacturing standards (e.g., ASTM F3605) and quality assurance methodologies
</li><li>Proven experience architecting solutions with cloud platforms (AWS, Azure) and implementing secure data management practices
</li><li>Knowledge of Additive Manufacturing technologies and applications is a distinct advantage
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>What You&rsquo;ll Love About Working Here
</b></h2></div><div><ul><li>Be part of a world-class engineering organization, working on some of the most challenging AI problems in manufacturing, energy, automotive, life sciences, and beyond.
</li><li>Access to global AI research and innovation networks, with opportunities for continuous learning and certifications.
</li><li>A supportive, diverse, and inclusive culture where innovation thrives.
</li><li>Three Horizon Roadmap: Capgemini pioneers the dynamic landscape of innovation thanks to its &quot;Three Horizon&quot; framework, covering the entire journey of the innovation cycle and helping clients to unleash their R&amp;D potential.
</li><li>Free access to learning platforms: Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
</li><li>Communities: Our Framework drives career development and elevates Capgemini's capabilities across various domains. Roles like architects, software engineers, these communities form the pillars of our Engineering Career Framework, outlining the foundational elements and anticipated growth.
</li><li>Mentoring programs: Capgemini empowers women at all career stages with programs spanning STEM education to career reentry. We value mentorship for fostering professional growth and empowerment within our engineering community.
</li><li>Worldwide Leader of Engineering Services: Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleashing their R&amp;D potential to develop smart products and services of tomorrow.
</li></ul></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

AI/ML Specialist

USEO - United Search Engine Optimization

<p><strong>Key Responsibilities</strong></p>
<ul>
<li>SEO Strategy &amp; Execution   Develop and implement comprehensive SEO strategies to improve organic search rankings and drive qualified traffic.</li>
<li>Keyword Research &amp; Optimization   Perform ongoing keyword and AI-powered semantic search analysis, identifying high-value opportunities.</li>
<li>On-Page Optimization   Fine-tune meta tags, title tags, header tags, structured data, and content for both traditional search engines and AI-driven discovery tools.</li>
<li>AI &amp; LLM Optimization   Optimize content for AI-driven search engines (e.g., Google SGE, Bing AI, Perplexity).<br>Enhance visibility within LLM-generated responses (e.g., ChatGPT, Claude, Gemini).</li>
<li>Apply prompt engineering and retrieval optimization to maximize brand visibility across AI-powered platforms.</li>
<li>Analytics &amp; Reporting   Monitor and report on SEO performance using Google Analytics, Search Console, and AI-enhanced SEO platforms, providing actionable insights and recommendations.</li>
<li>Competitor &amp; Market Analysis   Conduct competitor and industry research, including AI-based content gap analysis, to identify strengths, weaknesses, and opportunities.</li>
<li>Content Collaboration   Partner with writers and creators to produce high-quality, SEO + AI-optimized content that ranks and appears in AI-driven results.</li>
<li>Technical SEO &amp; AI Readiness   Ensure websites are optimized for crawlability, indexing, and AI-readiness (structured data, knowledge graphs, embeddings).</li>
<li>Stay Current   Keep up to date with SEO, AI, and generative search trends, algorithm updates, and evolving best practices.</li>
</ul>
<p><strong>Qualifications</strong></p>
<ul>
<li>2+ years of hands-on SEO experience, including technical SEO, on-page, and off-page strategies.</li>
<li>Strong understanding of search engine algorithms, ranking factors, and AI-driven search dynamics.</li>
<li>Proficiency in SEO tools (Google Analytics, Search Console, SEMrush, Moz, Screaming Frog, etc.).</li>
<li>Experience with AI and LLM optimization techniques, including structured data, embeddings, and prompt optimization.</li>
<li>Strong analytical skills with the ability to translate data into actionable insights.</li>
<li>Hands-on experience with HTML, CSS, JavaScript, and CMS platforms (WordPress, Shopify, Wix, etc.).</li>
<li>Excellent communication and collaboration skills.</li>
<li>Bachelor s degree in Information Technology, Computer Science, Marketing, or a related field (preferred).</li>
</ul>

SEO & AI Optimization Specialist

TELUS Digital Middle East FZ-LLC

<p><strong>What You ll Do</strong></p>
<ul>
<li>Annotate and label text, images, and documents to train AI systems.</li>
<li>Collect, organize, and validate datasets for machine learning projects.</li>
<li>Review data quality to ensure accuracy, precision, and consistency.</li>
<li>Collaborate with international remote teams to deliver on project milestones.</li>
<li>Contribute to AI advancements by providing high-quality annotated datasets.</li>
</ul>

Remote Data Entry AI Annotation Specialist

Amazon Web Services EMEA Dubai FZ Branch

<p><strong>Responsibilities:</strong></p>
<ul>
<li>Drive new business in greenfield accounts at the C-suite level or equivalent</li>
</ul>
<p><strong>Skills:</strong></p>
<ul>
<li>Experience with sales CRM tools such as Salesforce or similar software</li>
</ul>
<p><strong>Qualifications:</strong></p>
<ul>
<li>3+ years of full sales cycle, technology sales or equivalent business development, sales engineering/consulting or equivalent experience</li>
<li>5+ years of technology sales selling enterprise software, networking, infrastructure, managed hosting services</li>
<li>Experience (technical or educational) in Engineering or Computer Science</li>
</ul>

Senior AI Sales Specialist, AWS Global Sales

Explore 1325+ Ai specialist in Dubai this October. Find roles across top companies and apply now to boost your career.

1325 ai specialist jobs IN Dubai

AI Specialist

AI Specialist

Generative AI Specialist

AI/ML Specialist

SEO & AI Optimization Specialist

Remote Data Entry AI Annotation Specialist

Senior AI Sales Specialist, AWS Global Sales