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A dynamic AI startup is seeking an AI Engineer to develop and train vision-based applications. This role requires a strong background in MLOps and computer vision, along with proficiency in Python and Linux. Ideal candidates are proactive problem solvers who thrive in hands-on environments. Join us to drive innovation in manufacturing with cutting-edge AI solutions.
About Maneva
Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.
We are seeking an AI Engineer to join our dynamic team. This role focuses on organizing and training new vision models for tasks such as classification, object detection, segmentation, setting up and integrating MLOps tools, monitoring model performance, and maintaining deployed models. The ideal candidate is passionate about bridging AI and software with impactful real-world use cases and thrives in a hands-on environment, and demonstrates eagerness to learn and excel in their role and beyond.
We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process. If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai.
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.