Eticas.ai
Eticas. ai is a company dedicated to ensuring compliance and mitigating risks associated with artificial intelligence systems. They offer a range of solutions for auditing AI, focusing on critical issues such as bias, fairness, data provenance, and misinformation. Through independent audits and tailored support, Eticas. ai helps organizations navigate complex regulatory frameworks and improve the overall performance and trustworthiness of their AI applications.
Technology audit and Smart Cities • Ethics in ICT • Impact assessment • Big Data and Open Data • Cybersecurity
AI Product Lead
March 29
Eticas.ai
Eticas. ai is a company dedicated to ensuring compliance and mitigating risks associated with artificial intelligence systems. They offer a range of solutions for auditing AI, focusing on critical issues such as bias, fairness, data provenance, and misinformation. Through independent audits and tailored support, Eticas. ai helps organizations navigate complex regulatory frameworks and improve the overall performance and trustworthiness of their AI applications.
Technology audit and Smart Cities • Ethics in ICT • Impact assessment • Big Data and Open Data • Cybersecurity
📋 Description
• This is a remote position. • We’re looking for a hybrid builder-strategist to lead the development of our AI products from vision to execution. • As a startup deeply committed to responsible AI, we need someone who can wear multiple hats: define product strategy, engage with users, and contribute directly to technical implementation. • This role is ideal for someone who thrives in dynamic environments, enjoys end-to-end ownership, and wants to shape impactful, ethical technology from the ground up.
🎯 Requirements
• 3+ years of experience in data science, MLOps, LLMOps, or similar technical roles. • Proven experience in product management or direct collaboration within product teams. • Strong analytical skills Python. • Additional tools: FastAPI, MLServer, Flask, TensorFlow, or PyTorch. • Experience with classification and regression algorithms. • Ability to translate complex models into understandable and usable solutions. • Excellent communication skills and ability to collaborate across disciplines. • Entrepreneurial spirit, results-oriented, and autonomous. • Willingness to travel (less than 10%). • Fluent in English (C1 level).
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