AI Engineer

Description

Job Summary: We are seeking a passionate AI Engineer to implement innovative and generative solutions, developing and integrating AI models into enterprise infrastructures. Key Highlights: 1. Development and implementation of Generative AI and Machine Learning solutions. 2. Creation and optimization of AI models in production systems. 3. Working with AIOps and MLOps for automation and model deployment. Are you passionate about Artificial Intelligence? At Kibernum, we are looking for an AI Engineer to implement innovative and generative solutions. If you have experience in AI system development, we want to meet you! Responsibilities: - Develop and implement Generative AI and Machine Learning solutions. - Create and optimize AI models in production systems. - Work with AIOps and MLOps for process automation and model deployment. - Participate in the integration of AI with existing enterprise infrastructures. Requirements: - Experience in AI system development (not data science). - Knowledge of tools such as TensorFlow, PyTorch, and scikit-learn. - Desired: experience with Neo4J and graph databases, and cloud platforms such as AWS and GCP. - Master's degree in Artificial Intelligence (preferred but not mandatory). Benefits: - Permanent contract, followed by indefinite-term contract. - Hybrid work mode (3 days onsite, 2 days remote). - Internal benefits including supplementary health insurance, quarterly salary adjustment based on IPC, access to on-site cafeteria, and Coursera-based training platform, among others.-Requirements- Minimum education: University / Technical Institute / Professional Training Center. 3 years of experience Knowledge: Artificial intelligence, Machine learning Keywords: engineers, ingeniera, ing, engineer