Junior AI Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop, test, and assist in the deployment of Artificial Intelligence and Machine Learning solutions.

• Engage in the Machine Learning model lifecycle, encompassing data preparation, training, evaluation, deployment, and monitoring.

• Work collaboratively with multidisciplinary teams to turn business requirements into innovative technical solutions.

• Implement MLOps best practices, including pipeline automation, model versioning, and code testing.

• Investigate LLMs, Generative AI, and RAG architectures.

• Contribute to the creation of POCs and MVPs to validate and enhance AI solutions.

• Stay updated on trends in Artificial Intelligence and Machine Learning.

• Recommend enhancements, experiment with new methodologies, and disseminate knowledge.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related discipline.

• Practical experience with Artificial Intelligence, Machine Learning, or similar projects.

• Understanding of deploying Machine Learning models in production settings.

• Proficient in Python programming.

• Familiarity with AWS cloud infrastructure, including Amazon SageMaker and Amazon Bedrock.

• Capability to identify, assess, and utilize projects and libraries available on GitHub.

• Experience working with cross-functional teams and translating business needs into technical solutions.

• Knowledge of agile methodologies and experience managing multiple projects.

• Advanced proficiency in English is an advantage.

🏝️ Benefits

• Diversity and multiculturalism are integral to daily life at Keyrus.

• Opportunities to engage with individuals from across the globe.

• Exchange of knowledge and ideas.

• Work on high-quality projects.