We're working with an innovative cloud-based SaaS platform based out of Berlin that is revolutionising how automotive repair shops manage complex damage processes with digital solutions.The Role Take ownership of the entire ML lifecycle, from exploratory data analysis to production pipelines and ongoing evaluation Work hands-on as the first ML hire, shaping the data-driven intelligence strategy Design data acquisition, schema, preparation, and evaluation tools Collaborate closely with Product and Engineering using rapid prototyping to validate hypotheses and iterate on models Calibrate models for a growing, heterogeneous customer base and continuously improve model quality Enjoy maximum creative freedom, shaping architecture, tooling, and data culture in a greenfield setupWhat You'll Need Several years of experience as a Machine Learning Engineer, Data Engineer, or Applied Data Scientist with an engineering focus Strong Python and SQL skills, along with confident use of a cloud platform (AWS, GCP, or Azure) Solid statistical foundation, understanding classical and probabilistic model families and their applications Experience with production model deployment and MLOps fundamentals, capable of building new model pipelines from scratch A pragmatic, hands-on mindset, enjoying rapid prototyping and delivering MVPs Ability to handle incomplete data and shifting requirements with confidenceWhat's On Offer Join a dedicated, interdisciplinary development team with open communication and a constructive feedback culture Primary remote work with regular workshops and team-building events in Berlin Flat hierarchies and short decision-making paths providing creative freedom Opportunity to grow personally and professionally in a supportive environmentApply via Haystack today!

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Senior Machine Learning Engineer