Das ist der Job
Your new role Build machine learning models that make it into production—not just notebooks.
Darum lohnt es sich
Collaborate closely with engineers and cross-functional teams in an agile environment. At botario, you'll develop the ML systems powering our AI Agents, taking ideas from initial experiments through training to reliable, scalable deployment.
You'll work on cutting-edge AI use cases in a fast-moving environment where continuous learning and ownership are part of everyday work. The work you‘ll do Develop, train, and fine-tune deep learning models from early experimentation to production deployment.
Explore the latest open-source developments and research, evaluate new models and architectures, and turn promising ideas into practical solutions. Build robust training and evaluation pipelines to measure and continuously improve model performance.
Deploy your own models into production, including efficient model serving, versioning, and monitoring. Quickly familiarize yourself with new domains and apply machine learning to solve real business challenges. The qualifications you need Solid experience in machine learning and hands-on expertise with PyTorch.
Experience training deep learning models as part of your daily work. Curiosity to learn new domains—experience in speech or audio AI is not required; we'll help you build that expertise. Confidence reading, reproducing, and extending research papers and open-source implementations. Strong Python programming skills and the willingness to tac
