Job Description
<h3>📋 Description</h3> • work with a distributed, world-class team shaping the future of AIOps.
• at the forefront of innovation, shaping the next generation of enAI-powered operations tools.
• delve into the world of generative models, exploring their potential to detect anomalies.
• hone skills in supervised and unsupervised learning, constructing algorithms to analyze data.
• partner with a team of engineers, data scientists, and researchers.
• influence the reliability and performance of Atlassian's software.
• mentor junior engineers, guide projects, and partner across engineering teams. <h3>🎯 Requirements</h3> • fluent in at least 1 scripting, OOP language
• solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP.
• familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas
• good understanding of Machine Learning project lifecycle
• familiarity with MLOps and experience with scaling and deploying Machine Learning models <h3>🏖️ Benefits</h3> • health coverage
• paid volunteer days
• wellness resources
• and so much more