About this role
<p><br><img style="width:930.0px;height:205.0px" src="https://performancemanager5.successfactors.eu/OSRAMP/ams_OSRAM_RCM.jpg"></p> <p> </p> <p style="color:#fd5000">Sense the power of light</p> <p style="text-align:justify"><br>The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends.<br>Find out more about us on <a href="https://ams-osram.com">https://ams-osram.com</a></p> <p style="text-align:justify"> </p> <p style="text-align:justify">The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines. By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world. What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world. This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement. Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier.</p> <p style="text-align:justify"><br><span style="color:#fd5000">Your new responsibilities</span></p><ul> <li>Architect and advise on scalable, future-proof AI solutions tailored to business needs</li> <li>Design generative AI solutions using large language models (LLMs)</li> <li>Implement end-to-end generative AI solutions, including model fine-tuning, deployment, and testing in production environments</li> <li>Work closely with business departments, data scientists and, software engineers to seamlessly integrate generative AI into applications and workflows</li> <li>Develop comprehensive technical documentation and assist the deployment of GenAI cases</li> <li>Serve as the primary point of contact for AI-related inquiries</li> <li>Ensure effective lifecycle management of applications</li> </ul><p><br><span style="color:#fd5000">Who we are looking for</span></p> <p><br><ul> <li>Bachelor’s or Master's degree in IT, Data Management, Business Intelligence, or a related field</li> <li>3+ years of experience in AI engineering specifically focused on Generative AI platforms and Solutions</li> <li>Extensive hands-on experience with Microsoft Copilot Studio, including building, customizing, and integrating copilots into Microsoft 365 applications (Teams, Outlook, Word, Excel) and business workflows</li> <li>Familiarity with Microsoft Foundry for rapid prototyping and deploying AI solutions, working closely with product and engineering teams</li> <li>Proficiency in Azure AI services, including Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning for model development and deployment</li> <li>Awareness of security, governance, and compliance considerations for AI/ML systems</li> <li>Strong analytical and problem-solving skills combined with excellent communication and stakeholder management skills</li> <li>Proficiency in German and English</li> </ul> <p><br>We offer competitive salaries and additional benefits based on your performance, experience and qualification.</p> <p>The employment is in accordance with the collective salary and wage agreement for employees of the electrical and electronics industry, employment group G (<a href="https://www.feei.at/aktuelles/mindestloehne-und-gehaelter-eei/)">https://www.feei.at/aktuelles/mindestloehne-und-gehaelter-eei/)</a>.<br>We offer a higher compensation depending on your expertise and skills.</p></p> <p><br>Please contact <strong>Daria Berezova</strong> for further information via <strong><a href="mailto:[email protected]">[email protected]</a></strong> or <strong>+49 (941) 8501571</strong>.</p>