Job Description
<h3>📋 Description</h3> • Shape the future of AIOps: Be at the forefront of innovation, shaping the next generation of AI-powered operations tools that predict, prevent, and resolve IT issues before they impact our customers
• Master Generative AI: Delve into the world of generative models, exploring their potential to detect anomalies, automate responses, and personalize remediation plans
• Become a machine learning maestro: Hone your skills in both supervised and unsupervised learning, building algorithms that analyze mountains of data to uncover hidden patterns and optimize system performance
• Collaborate with diverse minds: Partner with a brilliant team of engineers, data scientists, and researchers, cross-pollinating ideas and learning from each other's expertise
• Make a tangible impact: Your work will directly influence the reliability and performance of Atlassian's critical software, driving customer satisfaction and propelling our business forward.
• Routinely tackle complex architectural challenges, spar with principal engineers to build ML pipelines and models that scale for thousands of customers
• Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems. <h3>🎯 Requirements</h3> • Fluency in Python
• 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
• Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models )
• Familiarity with MLOps and experience with scaling and deploying Machine Learning models
• Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks).
• Experience with MLOps tools ( MLflow, Tecton, Pinecone, Feature Stores )
• Experience with AIOps or related fields like IT automation or incident management.
• Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).
• Experience with using OpenAI LLMs. <h3>🏖️ Benefits</h3> • health and wellbeing resources
• paid volunteer days
• and so much more.