<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> We're working with a highly innovative Berlin-based SaaS company that is revolutionising the automotive repair industry by developing a sophisticated cloud platform for managing complex damage processes.<br/><br/>The Role<br/><br/><ul><li> Take ownership of the entire ML lifecycle, from data analysis to production and evaluation</li><li> Work hands-on as the first ML hire, shaping the company's data-driven intelligence strategy</li><li> Design data acquisition, schema, preparation, and evaluation tools</li><li> Collaborate closely with Product and Engineering for rapid prototyping and insight extraction</li><li> Drive architectural decisions, tooling choices, and data culture with creative freedom</li><li> Calibrate and continuously improve models for a growing, diverse customer base<br/><br/></li></ul>What You'll Need<br/><br/><ul><li> Several years of experience as a Machine Learning Engineer, Data Engineer, or Applied Data Scientist with an engineering focus</li><li> Strong Python and SQL skills, proficient with cloud platforms (AWS, GCP, or Azure)</li><li> Solid statistical foundation beyond basic defaults, understanding various model families and their applications</li><li> Experience with production model deployment and MLOps fundamentals</li><li> Pragmatic, hands-on mindset, comfortable with rapid prototyping, MVPs, and incomplete data<br/><br/></li></ul>What's On Offer<br/><br/><ul><li> Join a dedicated, interdisciplinary development team with open communication and mutual support</li><li> Significant creative freedom to shape architecture, tooling, and data culture</li><li> Flat hierarchies and short decision-making paths fostering independent and efficient work<br/><br/></li></ul>Apply via Haystack today!<br/><br/> </div>