Atlassian Corporation is an Australian software company that specializes in collaboration tools designed primarily for software development and project management. The company is globally headquartered in Sydney, Australia, with a US headquarters in San Francisco, and over 12,000 employees across 14 countries. Atlassian currently serves over 300,000 customers in over 200 countries across the globe
\r\n\r\nAtlassian produces software that helps teams work together more efficiently and effectively. The company provides project planning and management software, collaboration tools, and IT help desk solutions. The company operates in four segments: subscriptions (term licenses and cloud agreements), maintenance (annual maintenance contracts that provide support and periodic updates and are generally attached to perpetual license sales), perpetual license (upfront sale for indefinite usage of the software), and other (training, strategic consulting, and revenue from the Atlassian Marketplace app store).
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\r\n\r\nAtlassian produces software that helps teams work together more efficiently and effectively. The company provides project planning and management software, collaboration tools, and IT help desk solutions. The company operates in four segments: subscriptions (term licenses and cloud agreements), maintenance (annual maintenance contracts that provide support and periodic updates and are generally attached to perpetual license sales), perpetual license (upfront sale for indefinite usage of the software), and other (training, strategic consulting, and revenue from the Atlassian Marketplace app store).
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Agent AI focuses on improving productivity of agents using AI who are working on resolving requests of help-seekers. There are multiple stages in lifecycle of agents - starting from identifying correct category of ticket to closure of tickets, automating all these stages with intervention of AI to assist agents in every possible way. We have our built-in AI engine that combines model based on NLP as well as generative AI to come up with innovative solutions to support agents in quicker resolution of requests.
What you'll do
5+ years of related industry experience in the ML domain
Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of \"having something now\" vs \"perfection sometime in the future\"
Agile development mindset, appreciating the benefit of constant iteration and improvement
Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Experience in developing deep learning-based models and working on LLM-related applications
Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions