<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong><u>Machine Learning Engineer / 3 - 6 months / Berlin Hybrid / Start ASAP</u></strong></p><p><br/></p><p><strong>Responsibilities:</strong></p><p><br/></p><ul><li>Deploy, manage, and maintain machine learning models in production environments, ensuring stable performance and operational reliability throughout the model lifecycle.</li><li>Support model lifecycle management activities, including version control, updates, monitoring, performance tracking, and continuous improvement initiatives.</li><li>Evaluate custom speech models and analyse their effectiveness against defined quality and performance benchmarks.</li><li>Conduct language benchmarking exercises across speech-to-text (STT) and text-to-speech (TTS) providers, including Azure, Deepgram, and ElevenLabs.</li><li>Compare provider performance across different languages and use cases, documenting findings and making recommendations based on evaluation results.</li><li>Monitor deployed models, investigate performance issues, and contribute to ongoing optimization efforts.</li><li>Work closely with relevant stakeholders to ensure model deployments and evaluations align with business and product requirements.</li></ul><p><br/></p><p><strong>Background:</strong></p><p><br/></p><ul><li>3+ years of experience in applied machine learning and natural language processing.</li><li>Strong Python programming skills and experience using Python for machine learning and model evaluation tasks.</li><li>Hands-on experience evaluating speech-to-text and text-to-speech models, including defining evaluation criteria, running assessments, and interpreting results.</li><li>Familiarity with LLM ecosystems and an understanding of how large language models are applied in real-world solutions.</li><li>Experience deploying and managing cloud-hosted machine learning models, with Azure experience preferred.</li><li>Strong analytical and problem-solving skills, with the ability to assess model performance and communicate evaluation outcomes clearly.</li><li>Ability to work independently while collaborating effectively with cross-functional teams.</li></ul> </div>