Ai / Ml Engineer (Product-Focused)Cofounder (Equity) – Ai / Ml Product Engineer

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TrueCheckIA is an AI-powered content verification platform built to help companies, creators, and organizations trust the information they publish and consume.We analyze digital signals, textual patterns, and contextual indicators to generate evidence-based insights that support reliable decision-making across marketing, SEO, education, publishing, and compliance.TrueCheckIA is a global SaaS product focused on transparency, scalability, and the responsible application of artificial intelligence in production environments.We are seeking a product-focused AI / Machine Learning Engineer to help build and scale the core intelligence behind TrueCheckIA.In this role, you will design, implement, and optimize machine learning systems that analyze large volumes of content and extract meaningful verification signals.Your work will directly impact how trust, evidence, and transparency are delivered to users in real-world applications.ResponsibilitiesDesign and implement machine learning pipelines for content analysis and signal extractionDevelop and maintain classification, scoring, and pattern detection systemsCombine traditional machine learning approaches with large language models when appropriateOptimize models and pipelines for cost, latency, and scalabilityCollaborate closely with product and engineering to align technical decisions with user needsContribute to discussions around evidence-based verification and responsible AI usageRequirementsStrong foundation in machine learning and applied statisticsSolid understanding of computer science fundamentals and algorithmic designPractical experience applying machine learning models to real productsExperience with ML frameworks (PyTorch, TensorFlow, scikit-learn)Product-oriented mindset and comfort with ambiguityBachelor's degree in Computer Science or a related fieldNice to HaveExperience with NLP or LLM-based systemsFamiliarity with production AI systemsSaaS or startup experienceAwareness of ethical and responsible AI considerations#J-*****-Ljbffr



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