Senior Machine Learning Engineer

Atlassian · India · 5+ yrs experience · Posted 2025-10-01

Tech stack: AWS, Java, Python, SQL

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About the role

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. About JSM Jira Service Management (JSM) empowers Dev and Ops teams to collaborate at high-velocity, so they can respond to business changes and rapidly deliver fantastic service experiences to employees and customers. JSM empowers every team, from IT to HR to Legal, to quickly set up a service desk, continuously adapt to scale needs and deliver outstanding service experiences without the complexity of traditional ITSM solutions. By connecting Dev and Ops, JSM accelerates critical development work, eliminates toil, and tracks changes with ease, with a complete audit trail for every change. In short, it enables high-velocity ITSM. About the team 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. Responsibilities 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 Qualifications It's great, but not required, if you have 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

Qualifications

- It's great, but not required, if
- you have 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

Responsibilities

- 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

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