AI Engineer

Description

Job Summary: We are seeking an AI Engineer to develop and implement innovative Generative AI and Machine Learning solutions, optimize models in production, and work with AIOps and MLOps. 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 developing AI systems, 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 integrating 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 employment contract, transitioning to indefinite-term. - Hybrid work mode (3 days onsite, 2 days remote). - Internal benefits including supplementary health insurance, quarterly salary adjustments based on IPC, access to an on-site cafeteria, and a training platform with Coursera, among others.-Requirements-Education: University / Professional Institute / Technical Training Center. 3 years of experience Skills: Artificial Intelligence, Machine Learning Keywords: engineers, ingeniera, ing, engineer