Junior AI Engineer

• Develop, test, and support the deployment of Artificial Intelligence and Machine Learning solutions
• Participate in the Machine Learning model lifecycle, including data preparation, training, evaluation, deployment, and monitoring
• Collaborate with multidisciplinary teams to transform business needs into innovative technical solutions
• Apply MLOps best practices, pipeline automation, model versioning, and code testing
• Explore LLMs, Generative AI, and RAG architectures
• Participate in the development of POCs and MVPs to validate and evolve AI solutions
• Keep up with Artificial Intelligence and Machine Learning trends
• Propose improvements, experiment with new approaches, and share knowledge

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field
• Hands-on experience with Artificial Intelligence, Machine Learning, or related projects
• Knowledge of deploying Machine Learning models in production environments
• Proficiency in Python
• Knowledge of AWS cloud architecture, including Amazon SageMaker and Amazon Bedrock
• Ability to identify, evaluate, and reuse projects and libraries available on GitHub
• Experience collaborating with cross-functional teams and translating business needs into technical solutions
• Familiarity with agile methodologies and working across multiple projects
• Advanced English proficiency is a plus

• Diversity and multiculturalism are part of everyday life at Keyrus
• Opportunities to connect with people from around the world
• Exchange of knowledge and ideas
• Work on high-quality projects