Machine Learning Engineer at Squire

This role is designed for a pragmatic, product-focused engineer with at least 5 years of experience who prefers building and shipping over theoretical research. The ideal candidate has a strong software engineering foundation (Python) and at least one year of hands-on experience specifically building and deploying Generative AI and LLM-powered features like chatbots, RAG systems, or agents. Based in Buenos Aires under a hybrid contract model, this position offers the chance to own the entire ML lifecycle within a high-growth startup environment. You won't just be training models; you’ll be integrating them into a real-world platform used by over 30,000 barbers, leveraging the AWS ecosystem (SageMaker, Bedrock) to drive immediate business impact. **You might be a good fit if you...** * Have a "builder" mindset and have previously launched a GenAI side project for real users. * Are proficient in Python and comfortable bridging the gap between ML models and backend database integration. * Prefer using off-the-shelf models and cloud services to solve problems quickly rather than starting from scratch. * Thrive in a mid-level role that demands high autonomy and end-to-end ownership of features.