generative ai specialist

<p><strong>Job Title: Data Scientist - Generative AI</strong><br /><strong>Company: C5i</strong><br /><strong>Location: Bangalore, India</strong><br /><strong>Employment Type: Full-Time</strong></p><p><br /><strong>Job Overview</strong><br /><br />C5i, a leading pure-play AI and Analytics provider, is seeking a talented and innovative Data Scientist with a specialisation in Generative AI to join our dynamic team in Bangalore. At C5i, we combine the power of human perspective with cutting-edge AI technology to deliver trustworthy intelligence and drive business impact for some of the world’s largest enterprises. As a Data Scientist, you will be at the forefront of developing next-generation AI solutions, working with multifunctional teams to solve complex challenges for our Fortune 500 clients across Technology, Media, Pharma, CPG, and Banking sectors. This is an exciting opportunity to contribute to our proprietary, industry-recognised platforms and shape the future of AI-assisted decision-making.<br /><br /><strong>Responsibilities</strong><br /><br /> </p><ul><li>Design, develop, and deploy advanced Generative AI models, including Large Language Models (LLMs) and other deep learning architectures.</li><li>Conduct research and implement state-of-the-art algorithms and techniques in Natural Language Processing (NLP), computer vision, and machine learning.</li><li>Collaborate closely with business domain experts and technical teams to translate client requirements into robust, scalable AI solutions.</li><li>Process, cleanse, and analyse large-scale datasets to train, fine-tune, and validate sophisticated models.</li><li>Evaluate model performance, conduct rigorous testing, and iterate on solutions to ensure they meet the highest standards of accuracy and efficiency.</li><li>Contribute to the enhancement of C5i’s proprietary suite of AI products, solutions, and accelerators.</li><li>Stay abreast of the latest advancements and trends in the field of Generative AI and share knowledge with the wider team.</li></ul><p><strong>Qualifications</strong><br /><br /> </p><ul><li>Proven commercial experience as a Data Scientist or Machine Learning Engineer, with a strong focus on Generative AI.</li><li>In-depth understanding of deep learning frameworks, particularly transformers, GANs, and VAEs.</li><li>Hands-on proficiency with Python and essential data science libraries such as Pandas, NumPy, and Scikit-learn.</li><li>Strong practical experience with machine learning frameworks like PyTorch, TensorFlow, and Hugging Face.</li><li>Demonstrable experience in developing and fine-tuning Large Language Models (LLMs).</li><li>Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their associated machine learning services.</li><li>A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. A PhD is advantageous.</li><li>Excellent analytical and problem-solving skills with a creative and innovative mindset.</li><li>Strong verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.</li></ul><p><br /><strong>What We Offer</strong><br /> </p><ul><li>The opportunity to work on pioneering AI projects with globally recognised, market-leading clients.</li><li>A supportive and collaborative work culture that fosters continuous learning and professional development.</li><li>The chance to be part of an organisation consistently recognised by industry analysts like Gartner and Forrester for its exceptional AI and Analytics capabilities.</li></ul><p> </p>

Data Scientist - Gen AI

American business solutions inc

<div><h2 class="jobSectionHeader"><b>Required Skills</b></h2>
<p>Undergraduate degree in computer science, data science, artificial intelligence or related field required.</p>
<p>1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria</p>
<p>2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms</p>
<p>2 years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.</p>
<p>1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.</p>
<p>1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.</p>
<p>1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.</p>
<p>1 year of hands-on experience integrating AI capabilities with Azure and AWS.</p>
<h2 class="jobSectionHeader"><b>Preferred Skills</b></h2>
<p>Background in a variety of programming languages and principals.</p>
<p>Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.</p>
<p>Experience with data tools and techniques for storing, retrieving, and cleaning data.</p></div>

Generative AI Engineer(Local to SC)

Palm Hills Developments

<div>
 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  Palm Hills Developments is embarking on an ambitious programme to embed Generative AI and agentic‑AI capabilities into our company workflows.
  <strong>
   Reporting to the Director of Project Controls
  </strong>
  and working in close partnership with Group IT, you will spearhead the end‑to‑end strategy, design and roll‑out of AI solutions that drive measurable value for both operational teams and executive leadership.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Identify and priorities high‑impact AI use cases for various functions and departments.
  </li>
  <li>
   Craft a phased AI adoption road‑map aligned with corporate KPIs and governance.
  </li>
  <li>
   Translate business needs into technical designs covering data pipelines, model selection (LLMs, vector databases, fine‑tuning), prompt‑engineering and agent orchestration.
  </li>
  <li>
   Define architecture standards in partnership with IT (cloud vs. on‑prem, security).
  </li>
  <li>
   Lead proofs‑of‑concept and pilots; turn successful pilots into enterprise‑grade products.
  </li>
  <li>
   Coordinate cross‑functional squads (Project Controls, IT, Sales, Legal) and external vendors/consultants.
  </li>
  <li>
   Establish data‑privacy, model‑risk and ethical‑AI controls.
  </li>
  <li>
   Develop training programmes and user documentation; champion adoption across multiple business units.
  </li>
  <li>
   Define success metrics (accuracy, cycle‑time, cost savings, user satisfaction); continuously optimize models and workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education:
  </strong>
  BSc degree (or higher) in Artificial Intelligence, Computer Science, Data Science or a related field.
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  1+ years in data/AI roles and delivering Large‑Language‑Model or agentic‑AI projects from concept to deployment.
 </p>
 <p>
  <strong>
   Technical Toolkit:
  </strong>
 </p>
 <p>
  Proficiency with Python (LangChain, Semantic Kernel, etc.), SQL, and RESTful APIs.
 </p>
 <p>
  Proficiency with ML Python Libraries (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.)
 </p>
 <p>
  Familiarity with cloud ML stacks (Azure OpenAI, AWS Bedrock, GCP Vertex) and vector databases.
 </p>
 <p>
  Applied machine learning techniques on multiple projects
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
  : Stakeholder engagement up to C‑suite, vendor management, presentation &amp; training capability; fluent English and Arabic.
 </p>
 <p>
  <strong>
   Desirable Skills:
  </strong>
 </p>
 <p>
  &bull;Experience in integrating AI solutions with Power platform, MS Dynamics, Sales Force CRM.
 </p>
 <p>
  &bull;AI‑related credentials
 </p>
 <p>
  <strong>
   Location:
  </strong>
  <strong>
   Head Office, 6th of October City, Giza, Egypt
  </strong>
 </p>
</div>


AI Solutions Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description: AI Tools &amp; Enablement Specialist</b></h1><p><b>
Job Title:</b> AI Tools &amp; Enablement Specialist<br>
<b>Experience:</b> 3&ndash;11+ Years<br>
<b>Location:</b> <b>Riyadh - Onsite</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are seeking an experienced <b>AI Tools &amp; Enablement Specialist</b> with <b>3&ndash;11+ years of experience</b> to drive the adoption, enablement, and operationalization of AI tools across business and technology teams. The ideal candidate will have hands-on experience with enterprise AI platforms, productivity AI tools, low-code automation platforms, data science environments, and API-based AI integrations. This role focuses on enabling teams to effectively leverage AI capabilities, build AI-powered solutions, and accelerate business transformation initiatives.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Enable enterprise adoption of AI tools and platforms across business functions.</li><li>
Evaluate, configure, and implement AI solutions aligned with organizational needs.</li><li>
Support AI experimentation, prototyping, and rapid solution development.</li><li>
Develop AI-enabled workflows, automation solutions, and productivity enhancements.</li><li>
Create enablement materials, best practices, and usage guidelines for AI platforms.</li><li>
Collaborate with business stakeholders, data teams, and engineering teams to identify AI opportunities.</li><li>
Configure and support enterprise AI assistants, AI copilots, and generative AI solutions.</li><li>
Integrate AI capabilities with enterprise applications using APIs and automation frameworks.</li><li>
Support governance, security, and responsible AI adoption practices.</li><li>
Monitor AI tool usage, adoption metrics, and business impact.</li><li>
Provide training and guidance to users on effective AI utilization.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
AI &amp; Data Science Platforms</b></h3><ul><li>
Hands-on experience with <b>Dataiku or Databricks or Vertex AI Workbench</b> for AI experimentation, analytics, and machine learning workflows.</li><li>
Experience supporting AI/ML development environments and collaborative data science platforms.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI &amp; AI Assistants</b></h3><ul><li>
Experience with <b>Claude or ChatGPT Enterprise or Gemini</b> for enterprise AI enablement and productivity use cases.</li><li>
Understanding of prompt engineering, AI assistants, and Generative AI adoption practices.</li><li>
Experience evaluating AI capabilities for business workflows.</li></ul><h3 class="jobSectionHeader"><b>
Low-Code &amp; Automation Platforms</b></h3><ul><li>
Experience with <b>Microsoft Power Platform or Appian</b> for workflow automation, application development, and business process enablement.</li><li>
Ability to design AI-powered automation solutions using low-code platforms.</li></ul><h3 class="jobSectionHeader"><b>
AI Integration &amp; APIs</b></h3><ul><li>
Experience integrating AI services using <b>APIs</b>.</li><li>
Understanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applications.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field.</li><li><b>
3&ndash;11+ years</b> of experience in AI enablement, automation, analytics, digital transformation, software development, or technology consulting.</li><li>
Strong understanding of AI concepts, Generative AI capabilities, and enterprise AI adoption.</li><li>
Excellent communication, training, and stakeholder management skills.</li><li>
Ability to translate business requirements into AI-driven solutions.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience implementing enterprise AI adoption programs.</li><li>
Knowledge of AI governance, security, and responsible AI practices.</li><li>
Experience working with cloud AI platforms such as AWS, Azure, or Google Cloud.</li><li>
Familiarity with automation workflows, process optimization, and digital transformation initiatives.</li><li>
Experience creating AI training programs and user enablement content.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
AI &amp; Data Platforms:</b> <b>Dataiku or Databricks or Vertex AI Workbench</b></li><li><b>
Generative AI Tools:</b> <b>Claude or ChatGPT Enterprise or Gemini</b></li><li><b>
Automation Platforms:</b> <b>Microsoft Power Platform or Appian</b></li><li><b>
Integration:</b> APIs <b>and</b> REST-based AI service integrations</li><li><b>
AI Enablement:</b> AI Adoption <b>and</b> User Training <b>and</b> AI Workflow Optimization</li><li><b>
Enterprise AI Practices:</b> Responsible AI <b>and</b> Governance <b>and</b> Business Process Transformation</li></ul><p>
</p><p>CdGObnJzLD</p></div>

AI Tools & Enablement Specialist

Printerpix

<div><div><b>Job Title: AI Creative Specialist</b></div><div></div><div><b><br>
Role Overview:</b></div><div>
We are looking for a Graphic &amp; AI Design Specialist to spearhead creative asset production across our global web, email, and product marketing channels. Positioned at the intersection of visual artistry and technological automation, this role is equal parts Creative Director and Systems Architect. Based in Dubai, you will not just execute high-quality design; you will build the generative AI workflows and scalable design systems that power our brand across multiple international markets. If you are a process-driven creator who thrives on collaboration with developers and AI engineers, this is your sandbox.</div><div></div><div><b><br>
Key Responsibilities:</b></div><ul><li><div><b>
High-Velocity Asset Production:</b></div><ul><li>
Global Campaigns: Own the end-to-end creation of high-converting web banners, product visuals, promotional graphics, and dynamic campaign assets.</li><li>
Scalable Architecture: Build modular, localized, and reusable creative frameworks that allow our brand to scale across international markets with rapid turnaround times.</li></ul></li></ul><ul><li><div><b>
AI Workflow Architecture:</b></div><ul><li>
Build Production Pipelines: Engineer and manage AI-assisted workflows to generate complex background compositions, product scenes, and marketing imagery at scale.</li><li>
Frictionless Integration: Blend advanced AI-generated assets with traditional Adobe Creative Suite master workflows.</li><li>
Localization Systems: Develop &quot;universal&quot; visual assets and multi-lingual-ready modular templates to bypass translation friction.</li></ul></li><li><div><b>
UI/UX &amp; Developer Collaboration:</b></div><ul><li>
Bridge Design &amp; Code: Partner with front-end developers and AI engineering teams to deploy modern web UI/UX updates.</li><li>
Component Design: Deliver high-fidelity desktop/mobile layouts and maintain comprehensive web design systems in Figma.</li><li>
Technical Hand-offs: Translate creative vision into structured, hyper-clear Jira/ClickUp tickets and asset hand-offs.</li></ul></li><li><div><b>
Conversion-Driven Email:</b></div><ul><li>
CRM Partnership: Work with the CRM team to deliver high-performance visual assets for seasonal promotions and automated email flows.</li></ul></li><li><div><b>
Creative Leadership:</b></div><ul><li>
Mentor &amp; Standardize: Guide junior designers, establishing clear workflow benchmarks and quality control for AI-assisted outputs.</li></ul></li></ul><div><b>
</b></div><div><b>
Candidate Profile:</b></div><ul><li>
Experience: 5+ years of digital graphic design experience in fast-paced, high-growth e-commerce or commercial environments.</li><li>
Tooling Mastery: Expert-level proficiency in Figma and the Adobe Creative Suite (Photoshop, Illustrator).</li><li>
AI-Native Workflow: Hands-on experience integrating generative AI tools (Midjourney, Stable Diffusion, ComfyUI, Firefly) into a commercial production pipeline.</li><li>
Systems Thinking: Deep understanding of responsive web design, component-driven UI, and design-to-development hand-off protocols.</li></ul><div></div><div><b><br>
Desirable (Nice to Have):</b></div><ul><li>
Automation: Experience with programmatic asset generation or automated AI agent workflows.</li><li>
Industry Background: Prior experience in Print-on-Demand (POD), personalisation, or high-volume digital consumer brands.</li><li>
Leadership: Proven experience managing or mentoring junior design talent.</li></ul></div><div></div>

AI Creative Specialist

Dechert LLP

<p></p><div><div><div><div><div><div><div><div><div>Dechert, LLP is a global specialist law firm focused on high end legal work. The AI Engineer partners directly with attorneys, legal professionals, and business-services teams to identify, design, build, and deploy secure AI-enabled solutions that improve the delivery of legal services and firm operations. This role operates at the intersection of business discovery, rapid application development, artificial intelligence, automation, and enterprise technology.
</div><div></div><div>The role translates complex legal and operational needs into practical, scalable solutions&mdash;including generative AI applications, retrieval-augmented generation (RAG) solutions, workflow automations, intelligent agents, integrations, and custom web applications.
</div><div></div><div>The position is part of the IT Applications rapid-development function and is responsible for moving high-value opportunities from idea through proof of concept, pilot, production readiness, and transition to the appropriate enterprise applications, platform, or operations team for long-term support. The engineer works within the firm&rsquo;s security, privacy, data governance, architecture, and AI-risk-management standards.
 </div><div></div><div><b>ESSENTIAL JOB FUNCTIONS:</b>
</div><ul><li>Partner with attorneys, practice groups, legal project management, knowledge management, finance, risk, client development, and business-services teams to understand workflows, pain points, and desired outcomes.</li>
<li>Facilitate technical discovery sessions; assess business problems for AI, automation, workflow, integration, and custom application opportunities.</li>
<li>Rapidly design and develop proof-of-concept and pilot solutions using approved AI platforms, APIs, low-code tools, workflow automation platforms, and custom development technologies.</li>
<li>Build secure AI-enabled applications, including generative AI assistants, document and knowledge-search solutions, RAG applications, workflow copilots, intelligent agents, and decision-support tools.</li>
<li>Develop and maintain integrations among firm applications, document repositories, knowledge systems, data platforms, collaboration tools, and approved third-party services.</li>
<li>Design AI solutions that appropriately address data classification, confidentiality, ethical use, model limitations, human review, auditability, access controls, retention, and regulatory obligations.</li>
<li>Work with enterprise solutions architecture, information security, privacy, records management, risk management, and legal teams to ensure solutions meet global firm standards before production deployment.</li>
<li>Evaluate and select appropriate technical approaches based on business value, solution complexity, data sensitivity, scalability, supportability, and time-to-value.</li>
<li>Develop reusable components, integration patterns, prompt libraries, evaluation methods, documentation, and technical standards that accelerate future AI and automation delivery.</li>
<li>Conduct testing, quality assurance, user acceptance testing, model evaluation, and performance monitoring for AI-enabled solutions.</li>
<li>Establish solution success measures, such as time saved, adoption, accuracy, user satisfaction, process-cycle reduction, risk reduction, and business impact.</li>
<li>Create technical documentation, architecture diagrams, support materials, operating procedures, and knowledge-transfer artifacts.</li>
<li>Transition mature solutions to the appropriate applications support and operations or enterprise application development, ensuring clear ownership, support readiness, and lifecycle plans.</li>
<li>Monitor deployed solutions for performance, reliability, adoption, model behavior, security concerns, and opportunities for iterative improvement.</li>
<li>Stay current on AI engineering practices, legal-industry AI use cases, emerging tools, AI governance requirements, and applicable technology trends.</li>
<li>Participate in intake prioritization, solution estimation, roadmap planning, vendor evaluations, and innovation portfolio reporting.</li>
<li>Partner with Legal, Risk, Security, and Compliance Teams to ensure AI initiatives meet applicable legal and regulatory obligations.</li>
<li>Ensure AI systems handling client or confidential information meet applicable privacy, security, and data handling requirements across all operating jurisdictions.</li><br>
</ul><div></div><br>
<div><b>KNOWLEDGE:</b>
 </div><ul><li>Experience with Generative AI, Model Context Protocol (MCP), Azure/OpenAI, Large Language Model (LLM), Microsoft CoPilot, prompt engineering, retrieval-augmented generation, embeddings, vector databases, AI agents, model evaluation, and responsible AI practices.</li>
 <li>Application development concepts, including APIs, microservices, web applications, databases, authentication, authorization, logging, monitoring, testing, and CI/CD practices.</li>
 <li>Cloud and enterprise technology environments, including secure API integration, DevOps, identity and access management, data governance, and application lifecycle management.</li>
 <li>Automation and orchestration technologies, such as workflow platforms, robotic process automation, low-code/no-code development tools, and integration platforms.</li>
 <li>Data privacy, confidentiality, information security, records retention, and risk considerations applicable to professional-services or legal environments.</li>
 <li>Software development methodologies, including Agile, Kanban, rapid prototyping, product discovery, and iterative delivery.</li>
 <li>Legal-industry workflows and systems is preferred, including document management, knowledge management, time and billing, matter management, legal research, e-discovery, client intake, and financial systems.</li>
</ul><div><b>SKILLS:</b>
</div><ul><li>Strong software engineering skills in one or more modern programming languages, such as Python, JavaScript/TypeScript, C#, ASP.NET Core, SQL, or similar technologies.</li>
<li>Ability to build and deploy AI-enabled applications using APIs, SDKs, orchestration frameworks, cloud services, and enterprise platforms.</li>
<li>Ability to translate ambiguous business needs into clearly defined user stories, technical requirements, solution designs, and delivery plans.</li>
<li>Strong consultative and communication skills, with the ability to work effectively with attorneys, senior business leaders, technical teams, vendors, and nontechnical users.</li>
<li>Ability to explain AI capabilities, limitations, risks, and recommended controls in clear, practical language.</li>
<li>Strong analytical, problem-solving, and systems-thinking abilities.</li>
<li>Ability to balance speed and experimentation with security, quality, governance, maintainability, and long-term supportability.</li>
<li>Experience designing user-centered solutions and incorporating feedback into rapid iterations.</li>
<li>Strong organization and prioritization skills in a fast-moving environment with multiple concurrent initiatives.</li>
<li>Knowledge of responsible AI frameworks such as React and emerging international AI regulations.</li>
</ul><div><b>INTERESTS:</b>
</div><ul><li>Genuine curiosity about applying AI to meaningful legal, client-service, and business-operations challenges.</li>
<li>Interest in working directly with end users and seeing solutions through from discovery to measurable adoption.</li>
<li>Interest in responsible AI, data protection, human-centered design, and practical technology governance.</li>
<li>Enthusiasm for experimentation, continuous learning, emerging technologies, and building reusable enterprise capabilities.</li>
<li>Interest in improving how attorneys and professional-services teams access knowledge, complete work, collaborate, and serve clients.</li>
 </ul><div></div><div><b>EDUCATION AND EXPERIENCE:</b>
</div><div></div><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical discipline required; equivalent combination of education, training, and relevant experience may be considered.</li>
<li>Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, or related technical roles.</li>
<li>Minimum of 2 years of experience designing, developing, or deploying AI-enabled, machine-learning, generative AI, automation, or intelligent workflow solutions preferred.</li>
<li>Experience building applications using large language model APIs, RAG architectures, AI orchestration frameworks, Model Context Protocol (MCP), Azure/OpenAI, vector search technologies, or agentic workflow patterns strongly preferred.</li>
<li>Experience with cloud platforms such as Microsoft Azure or Amazon Web Services⁠.</li>
<li>Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management required.</li>
<li>Experience in a law firm, legal technology provider, consulting firm, financial-services organization, or other regulated professional-services environment strongly preferred.</li>
<li>Experience working with cross-functional stakeholders and delivering technology solutions from discovery through production deployment required.</li>
<li>Relevant certifications in cloud engineering, AI, software development, security, automation, Agile delivery, or legal technology are preferred but not required.</li></ul></div></div></div></div></div></div></div></div><div></div>

AI Engineer

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>About Capgemini</b></h2>
</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. The Group reported 2024 global revenues of &euro;22.1 billion.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Role Description:</b></h2>
</div><div><p>We're looking for a passionate and experienced UX Service Desk Specialist (UX SD) to join our vibrant team! As the UX Service Desk Specialist, you will be responsible for understanding and enhancing end-user experience across Service Desk and digital support channels by identifying pain points, analyzing user behavior, and translating qualitative and quantitative insights into actionable experience improvement initiatives.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities:</b></h2>
</div><div><ul><li>Conduct UX and employee experience research across Service Desk and digital support channels.
</li><li>Analyze user journeys, touchpoints, and interactions across Service Desk processes.
</li><li>Perform qualitative and quantitative research, including interviews, surveys, focus groups, and usability testing.
</li><li>Create and maintain user personas representing different Service Desk user groups.
</li><li>Collaborate with Data Analysts, DEM Tool SMEs, and Experience Managers to triangulate insights.
</li><li>Translate research findings into actionable recommendations to improve Service Desk experience.
</li><li>Support root cause analysis for experience-related issues identified through XMO analytics.
</li><li>Document findings and maintain insights in the Experience Management Tracker.</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications:</b></h2>
</div><div><ul><li>Bachelor&rsquo;s degree in Human-Computer Interaction, Information Systems, Psychology, Business, or a related field (preferred).
</li><li>Minimum 3&ndash;5 years of experience in UX Research, Employee Experience, Service Design, or a related field.
</li><li>Proven experience working in IT Service Desk or digital support environments.
</li><li>In-depth understanding of UX research methods and service design in operational contexts.
</li><li>Excellent communication, interpersonal, and problem-solving skills.
</li><li>Fluency in written and spoken English.
</li><li>Strong analytical, synthesis, and reporting skills.
</li><li>Proficiency in UX research and analytics tools, including survey platforms, visualization tools, and DEM solutions.</li></ul></div></div></div></div></div></div></div>

UX ServiceDesk XMO (English Speaking)

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