ai integration specialist

Hendrix Media Ltd

<p>**Salary:** &pound;250-300 GBP/month</p><p>**Working Hours:** 9:00am &ndash; 5:00pm UK time (Monday to Friday)</p><p>**Location:** Remote</p><p>**Time Tracking:** Mandatory via Hubstaff (activity level monitoring required)</p><p>**Start Date:** As soon as possible</p><p>About the Role</p><p>We are looking for a resourceful and tech-savvy Automation Specialist to support the delivery of client work and internal operations using AI-driven automations, particularly via ChatGPT and related tools.</p><p>You will play a hands-on role in building AI Automations that support digital marketing campaign setup, optimisation, and reporting, as well as automating client deliverables like summaries, reports, and emails. This role is ideal for someone who is creative, logical, and excited to apply AI in real-world business contexts.</p><p><b>Key Responsibilities</b></p><p>Build and manage ChatGPT-based workflows to automate internal tasks and client-facing deliverables</p><p>Create automations to support campaign setup (e.g., generating ad copy, keyword suggestions, or account checklists)</p><p>&middot; Develop tools for ongoing campaign optimisation (e.g., surfacing low-performing ads or creating summary reports)</p><p>&middot; Automate client deliverables (e.g., weekly summaries, monthly reports, email updates)</p><p>&middot; Integrate with tools such as Google Ads, email, and CRMs where relevant</p><p>&middot; Assist in developing and refining custom GPTs for specific use cases</p><p>&middot; Identify repetitive tasks within teams and implement scalable automation solutions</p><p>&middot; Document processes clearly and maintain internal guides</p><p>&middot; Stay informed about new features and best practices for ChatGPT, automation tools, and campaign platforms</p><p>Essential Requirements</p><p>&middot; Strong working knowledge of ChatGPT&rsquo;s API Platform, ChatGPT UI and OpenAI custom GPTs</p><p>&middot; Experience with automation platforms like Zapier, Make (Integromat), or similar</p><p>&middot; Familiarity with digital marketing workflows, particularly campaign setup and reporting</p><p>&middot; Knowledge of APIs and scripting</p><p>&middot; Excellent written English and ability to format clear, high-quality output</p><p>&middot; Fast learner with the ability to self-manage and problem-solve</p><p>&middot; Own laptop or desktop and stable internet connection</p><p>&middot; Comfortable working 9&ndash;5 UK hours and using Hubstaff for time and activity tracking</p><p>Preferred (but not essential)</p><p>&middot; Exposure to Google Ads, Meta Ads or other paid media platforms</p><p>&middot; Experience automating reporting</p><p>What We Offer</p><p>&middot; A stable, full-time remote position with regular monthly pay</p><p>&middot; The chance to work with a forward-thinking digital agency using AI in everyday workflows</p><p>&middot; A varied and evolving role with opportunities to grow</p><p>&middot; Supportive and organised team environment</p><p>&middot; Clear documentation and expectations from day one</p><p>How to Apply</p><ul><li>If this sounds like a good match, please apply with your CV and a short message including:</li><li>A brief summary of your experience with ChatGPT, API integration or automation tools</li><li>An example of an automations you&rsquo;ve created (business-related, if possible)</li><li>Your interest in this specific role and how you&rsquo;d approach it</li><li>Note: We are only able to consider applicants who:</li><li>Have more than 12 months of relevant work experience</li><li>Can work full-time during UK hours</li><li>Have no major spelling or grammar issues in their application</li></ul><p>Job Type: Full-time</p><p>Pay: Rs80,000.00 - Rs110,000.00 per month</p><p>Work Location: Remote</p>

Automation Specialist (AI Automations – ChatGPT & Digital Campaigns)

Prime Tek Embedded

<p><b>Data Scientist - Clinical Data Extraction &amp; AI Integration</b></p><p><b>Experience Level:</b> 3-6 Years<br/><b>Location:</b> [Chennai/Hybrid]<br/><b>Employment Type:</b> Full-time</p><p><b>About the Role</b></p><p>We are seeking an experienced Data Scientist to join our healthcare technology team, focusing on medical document processing and data extraction systems. You'll be working with cutting-edge AI technologies to build robust solutions that extract critical information from clinical documents, improving healthcare data workflows and patient care outcomes.</p><p><b>Key Responsibilities</b></p><p><b>Data Science &amp; Analytics</b></p><ul><li>Design and implement statistical models for medical data quality assessment</li><li>Develop predictive algorithms for encounter classification and validation</li><li>Build machine learning pipelines for document pattern recognition</li><li>Create data-driven insights from clinical document structures</li><li>Implement feature engineering for medical terminology extraction</li></ul><p><b>Advanced Analytics &amp; ML</b></p><ul><li>Apply natural language processing (NLP) techniques to clinical text</li><li>Develop statistical validation frameworks for extracted medical data</li><li>Build anomaly detection systems for medical document processing</li><li>Create predictive models for discharge date estimation and encounter duration</li><li>Implement clustering algorithms for provider and encounter classification</li></ul><p><b>AI &amp; LLM Integration</b></p><ul><li>Integrate and optimize Large Language Models via AWS Bedrock and API services</li><li>Design and refine AI prompts for clinical content extraction with high accuracy</li><li>Implement fallback logic and error handling for AI-powered extraction systems</li><li>Develop pattern matching algorithms for medical terminology</li><li>Create validation layers for AI-extracted medical information</li></ul><p><b>Healthcare Domain Expertise</b></p><ul><li>Work with medical document structures</li><li>Implement healthcare-specific validation rules</li><li>Handle medical terminology extraction and clinical context analysis</li><li>Ensure HIPAA compliance and data security best practices</li></ul><p><b>Technologies &amp; Tools</b></p><ul><li><b>Languages:</b> Python 3.8+, R, SQL, JSON</li><li><b>Data Science Stack:</b> pandas, numpy, scipy, scikit-learn, spaCy, NLTK</li><li><b>ML Frameworks:</b> TensorFlow, PyTorch, transformers, huggingface</li><li><b>Visualization:</b> matplotlib, seaborn, plotly, Tableau, PowerBI</li><li><b>AI Platforms:</b> AWS Bedrock, Anthropic Claude, OpenAI APIs</li><li><b>Cloud Services:</b> AWS (SageMaker, S3, Lambda, Bedrock)</li><li><b>Research Tools:</b> Jupyter notebooks, Git, Docker, MLflow</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;2,000,000.00 - &#8377;3,000,000.00 per year</p><p>Work Location: In person</p>

Data Scientist

D360T Connects

<p>We&rsquo;re looking for someone passionate about AI and automation &mdash; eager to explore how tech can simplify real-world problems. You&rsquo;ll experiment with tools like Google Apps Script, n8n, Make, and other AI platforms to create smart workflows and solutions.</p><p><b>Responsibilities</b></p><ul><li>Research and test new AI tools and automation workflows</li><li>Build and optimize simple automation processes</li><li>Document setups and create step-by-step guides (SOPs)</li><li>Support integration of automation into live marketing and business projects</li></ul><p><b>Requirements</b></p><ul><li>Strong interest in AI, automation, and problem-solving</li><li>Self-motivated and quick learner</li></ul><p><b>What You&rsquo;ll Gain</b></p><ul><li>Hands-on experience in AI and workflow automation</li><li>Real project exposure within a digital agency</li><li>Internship certificate</li><li>Opportunity for a paid position after 3 months</li></ul><p>Job Type: Full-time</p>

AI Automation

Mondia

<div>
 Be part of shaping how AI transforms how we work. You'll scout emerging AI technologies, pilot new tools, and coordinate cross-departmental adoption projects. A key focus will be managing and enhancing our internal Knowledge Hub &mdash; ensuring information flows seamlessly and employees can leverage AI to its fullest.
 <br/>
 <br/>
 <strong>
  What you will do!
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Roll out AI tools and features company-wide to boost adoption and measurable value
  </li>
  <li>
   Identify and evaluate emerging AI technologies with potential business impact
  </li>
  <li>
   Drive employee engagement and training to maximize AI tool utilization
  </li>
  <li>
   Lead the program management and evolution of the company Knowledge Hub
  </li>
  <li>
   Enhance Knowledge Hub performance through LLM integration for smarter, easier interactions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BA Degree in Artificial Intelligence, Computer Science, Data Science, or Information Systems
  </li>
  <li>
   Coursework or certifications in AI tools, prompt engineering, or machine learning fundamentals (e.g., Coursera, Google AI, Microsoft Learn)
  </li>
  <li>
   Ability to analyze adoption metrics, feedback, and performance data
  </li>
  <li>
   Proficiency in tools like Excel, Google Sheets, or Power BI/Tableau (nice-to-have)
  </li>
  <li>
   Curiosity to link data insights with business impact
  </li>
  <li>
   Generative AI platforms (OpenAI, Anthropic, Gemini, etc.)
  </li>
  <li>
   Productivity &amp; collaboration tools (Notion, Miro, Slack, Microsoft 365)
  </li>
  <li>
   Knowledge bases (Confluence, Guru, SharePoint)
  </li>
  <li>
   Project management tools (Asana, Trello, Jira)
  </li>
  <li>
   Data visualization tools (Power BI, Tableau &mdash; optional)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.
</div>


AI Transformation Intern

Siemens

<div><div><div><div><div><div><b>Job ID
</b></div><div>483508
</div></div><div><div><b>Posted since
</b></div><div>03-Nov-2025
</div></div><div><div><b>Organization
</b></div><div>Smart Infrastructure
</div></div><div><div><b>Field of work
</b></div><div>Research &amp; Development
</div></div><div><div><b>Company
</b></div><div>Siemens Sanayi ve Ticaret Anonim Sirketi
</div></div><div><div><b>Experience level
</b></div><div>Mid-level Professional
</div></div><div><div><b>Job type
</b></div><div>Full-time
</div></div><div><div><b>Work mode
</b></div><div>Hybrid (Remote/Office)
</div></div><div><div><b>Employment type
</b></div><div>Permanent
</div></div><div><div><b>Location(s)
</b></div><div><ul><li>Gebze - Kocaeli - Tuerkiye
</li><li>Kocaeli - Kocaeli - Tuerkiye
</li></ul></div></div></div></div></div><div><div><div><div><div><p>Siemens Gebze factory is the lead factory for Air Insulated Switchgear production in Siemens World and exporting to more than 80 countries worldwide! We are searching for a &ldquo;<b>AI Integration &amp; Deployment Engineer</b>&rdquo;. You will join an exciting team and develop world-class solutions in a manufacturing facility. A great opportunity to experiment the harmony of code and real life!</p>
<p>The successful candidate will be responsible for integrating AI-driven solutions and large language models (LLMs) into existing digital platforms, ensuring secure, scalable, and efficient deployment within an industrial environment.</p>
<p>This position requires strong technical expertise in backend development, AI service integration, and deployment orchestration. The ideal candidate will play a key role in bridging artificial intelligence capabilities with enterprise-level systems to accelerate digitalization and automation initiatives.</p>
<p>Additionally, the role involves designing AI-driven data understanding layers &mdash; tagging, classifying, and enriching existing database records to enable semantic search and complex natural language queries across structured and unstructured data sources.</p>
<p>The engineer will help establish intelligent data pipelines that transform conventional SQL-based repositories into AI-accessible knowledge layers, supporting context-aware query generation and advanced analytics.</p><br>
<p><b>Responsibilities</b></p>
<ul><li>Design, implement, and maintain AI-powered integrations within enterprise digital platforms</li></ul>
<ul><li>Develop RESTful APIs and backend microservices for connecting internal systems with AI services</li></ul>
<ul><li>Manage the deployment lifecycle of AI components using Docker, Kubernetes, and CI/CD pipelines</li></ul>
<ul><li>Build AI orchestration pipelines including prompt processing, intent mapping, and data retrieval mechanisms</li></ul>
<ul><li>Ensure adherence to corporate standards on data privacy, access control, and cybersecurity</li></ul>
<ul><li>Conduct functional and performance testing of deployed AI services</li></ul>
<ul><li>Monitor and continuously optimize AI workloads in production environments</li></ul>
<ul><li>Design data labeling and embedding strategies to make enterprise datasets searchable through AI.</li></ul><br>
<p><b>Qualifications</b></p>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Software Engineering, Electrical-Electronics, or Artificial Intelligence</li></ul>
<ul><li>(Must have)Proven experience in delivering AI-driven integration or deployment projects in a production or enterprise environment, demonstrating measurable results or operational impact</li></ul>
<ul><li>Proficiency in modern programming languages and frameworks commonly used for API and backend development (e.g., Python, JavaScript, or similar technologies)</li></ul>
<ul><li>Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or Hugging Face APIs</li></ul>
 <ul><li>Working knowledge of relational or analytical databases (e.g., MySQL, Snowflake)</li></ul>
<ul><li>Understanding of vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search principles</li></ul>
<ul><li>Experience working in secure, large-scale enterprise software environments</li></ul><br>
<p><b>Preferred Skills</b></p>
<ul><li>Familiarity with prompt engineering and model tuning concepts</li></ul>
<ul><li>Experience in transforming tabular and textual datasets into knowledge graphs or AI-queryable structures</li></ul><p><b>
What we offer</b></p><div>
<ul><li>Speak up Culture</li></ul>
<ul><li>Respectful Workplace</li></ul>
<ul><li>Being part of a global work environment</li></ul>
<ul><li>Attractive remuneration package</li></ul>
<ul><li>Excellent recognition tools providing spot awards</li></ul>
<ul><li>Learning &amp; Development opportunities for both personal and professional growth</li></ul>
<ul><li>Leave days for parents and a variety of flexible working models that allow time off for yourself and your family</li></ul>
<ul><li>Creche allowance for mothers</li></ul>
<ul><li>Share matching programs to become a shareholder of Siemens AG</li></ul>
<ul><li>Remote working and remote living flexibility only for relevant positions</li></ul>
<ul><li>Find more benefits here</li></ul>
</div><p></p><p><i>Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.</i></p><p></p><p><br>
&ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow&lsquo;s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds&rdquo;</p><p>
As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receive applications of candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.</p><p>
Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.</p><p>
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of you ability as we will use the data to review your suitability to the role.</p><p>
Please find more information from our web site:</p><p>
https://new.siemens.com/tr/tr.html</p><p><br>
Contact<br>
IF you need more information please don't hesitate to contact us.<br>
+90 216 459 20 00</p><p>
https://new.siemens.com/tr/tr/genel/iletisim.html<br>
insanorganizasyon.tr@siemens.com</p><p>
www.instagram.com/siemensturkiye</p><p>
https://m.youtube.com/user/Siemens</p><p>
http://www.twitter.com/siemensturkiye</p><p>
http://www.facebook.com/siemensturkiye</p><p><b>
#LI-HYBRID</b></p></div></div></div></div></div></div><div></div>

AI Integration & Deployment Engineer

WSP in the Middle East

<p>Support the evolution of our construction supervision methods by applying analytical thinking, problem-solving, and AI engineering</p><p>Contribute to the implementation of digital tools and data-driven workflows that enhance efficiency, accuracy, and collaboration across disciplines. You will be working at the intersection of emerging technologies, innovation, and multidisciplinary project construction delivery, collaborating closely with regional and global teams. This role offers a hands-on opportunity to help define the future of supervision in construction, ensuring smarter and safer project execution.</p><p><b>Responsibilities</b></p><ul><li>Audit: Assess how we are currently working and identify areas that the candidate feels they can help us improve and areas they are passionate about seeing active change</li><li>Research and Analysis: Conduct in-depth engineering research on the latest AI technologies and their applications in construction management</li><li>Data Collection: collect and analyse data from various sources to inform project decisions, AI integration strategies and solve complex challenges.</li><li>Project Management: Assist in managing research projects, ensuring timely delivery of milestones and objectives.</li><li>AI Implementation: Work closely with technical teams to integrate AI solutions across all disciplines of the transport and infrastructure projects using Microsoft Azure Sandbox and related tools.</li><li>Stakeholder Engagement: Collaborate with internal and external, regional and global stakeholders to understand needs and ensure successful project outcomes.</li><li>Reporting: Prepare detailed reports and presentations to communicate research findings, project progress, and AI adoption strategies.</li><li>Innovation: Identify and propose innovative solutions to enhance project efficiency, sustainability, and performance through AI.</li><li>Team Collaboration: Work with our multidisciplinary teams to improve our new digital ways of working.</li></ul><p>The candidate will utilize their year with WSP to develop their portfolio, further their AI for engineering knowledge and deliver a number of innovative improvement initiatives that will ensure we become a better, faster more agile business.</p>

Graduate Engineer - Integrated Construction Leadership

Commercial Bank of Dubai

<p><strong>Principal Accountabilities:</strong></p>
<p><strong>Agent Automation</strong></p>
<p><strong>Copilot Agent Design &amp; Development</strong></p>
<ul>
<li>Architect and build Copilot Agents tailored to enterprise workflows, ensuring alignment with governance, compliance, and security standards.</li>
<li>Configure Agent tool capabilities for multi-step reasoning, orchestration of tasks, and integration with internal data sources (SharePoint, EDMS, BI platforms).</li>
<li>Develop modular prompts and reusable templates for common enterprise use cases (e.g., data demand triage, report rationalization, metadata validation).</li>
</ul>
<p><strong>Advanced Tool Utilization</strong></p>
<ul>
<li>Implement deep-dive research workflows for agents, enabling automated retrieval and synthesis of internal and external knowledge.</li>
<li>Optimize query strategies for accuracy, relevance, and compliance with data privacy policies.</li>
</ul>
<p><strong>Analyst Tool:</strong></p>
<ul>
<li>Enable Copilot Agents to perform structured data analysis, generate insights, and produce dashboards or summaries.</li>
<li>Integrate analytical outputs into governance processes (e.g., SLA tracking, demand trend analysis).</li>
</ul>
<p><strong>Integration &amp; Automation</strong></p>
<ul>
<li>Connect Copilot Agents with enterprise systems (SharePoint, EDMS, ticketing tools) to automate repetitive governance tasks.</li>
<li>Ensure seamless interoperability with existing AI enablement frameworks and data governance platforms.</li>
</ul>
<p><strong>Quality Assurance &amp; Testing</strong></p>
<ul>
<li>Conduct rigorous testing of Copilot Agents for accuracy, reliability, and adherence to DSG policies.</li>
<li>Implement monitoring dashboards for agent performance, error rates, and user adoption metrics.</li>
</ul>
<p><strong>Governance &amp; Compliance</strong></p>
<ul>
<li>Embed policy checks (metadata completeness, access rights, regulatory flags) into agent workflows.</li>
<li>Maintain audit trails for all automated actions performed by Copilot Agents.</li>
</ul>
<p><strong>Continuous Improvement</strong></p>
<ul>
<li>Analyze usage patterns and feedback to refine agent capabilities.</li>
<li>Stay updated on Copilot feature releases and incorporate advanced functionalities (e.g., multi-agent collaboration, contextual memory).</li>
</ul>
<p><strong>Stakeholder Enablement</strong></p>
<ul>
<li>Train business users and data stewards on interacting with Copilot Agents effectively.</li>
<li>Document best practices and create playbooks for agent deployment and lifecycle management.</li>
</ul>
<p><strong>Innovation &amp; Thought Leadership</strong></p>
<ul>
<li>Identify new opportunities for Copilot-driven automation across productivity, governance and reporting domains.</li>
<li>Champion AI adoption by showcasing measurable benefits (time saved, accuracy improvements, SLA compliance).</li>
</ul>
<p><strong>Data Demand</strong></p>
<ul>
<li>Responsible for creating, implementing, and maintaining master and reference data management framework and strategy that aligns with the bank s goals and objectives.</li>
<li>Stay current on emerging trends and technologies in data management and incorporate best practices into bank policies.</li>
<li>Define and implement performance and quality assessment frameworks for Data Demand Management, including metrics, KPI, and other relevant indicators to ensure transparency and operational performance, such as continuous dashboards and reporting.</li>
<li>Evaluate and implement strategies for resource scalability and flexibility to accommodate the bank s evolving data demands.</li>
<li>Prepare comprehensive information packs for senior management, offering insights into the bank s data demand pipelines, data demand trends, and departmental performance.</li>
<li>Collaborate with business units to prioritize data demand requests, aligning them with strategic objectives and ensuring efficient allocation of resources.</li>
<li>Conduct regular reviews and audits of the data demand management processes to identify areas for improvement and implement necessary enhancements to optimize performance.</li>
<li>Run the intake desk; validate business context, regulatory flags, and evidence; route to stewards/owners and BICC/engineering as required.</li>
<li>Enforce the Demand Management guideline; monitor breaches; issue standardized responses; drive corrective actions with stewards/owners.</li>
<li>Maintain the report repository and demand backlog hygiene; ensure proper metadata, lineage, and approval trail per DSG policies.</li>
<li>Prepare Demand insights to the Data Governance Forum, present trends, risks, and actions.</li>
</ul>

Data Demand Management & Automation Lead

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