Senior Machine Learning Systems Engineer, Atlassian

Senior Machine Learning Systems Engineer

Atlassian

Location:
India, Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Our team is building the foundations to democratise Machine Learning for Atlassian’s teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and utilize them. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. They will seamlessly integrate with the Atlassian Data Platform, enabling teams to efficiently and rapidly incorporate AI & ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to leverage the power of AI & ML without any complications.

Job Responsibility:

Build and scale the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
Build systems for product teams like Jira & Confluence to provide access to curated LLMs
Use software development expertise to solve difficult problems, tackling infrastructure and architecture challenges
Lead engineers to drive involved projects from technical design to launch
Collaborate with other teams and internal customers to set expectations, gather input and communicate results

Requirements:

Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin)
Understanding and experience with Machine Learning project lifecycle and tools
Understanding of LLMs, best deployment practices and inference optimisation
Experience in building and implementing high-performance RESTful micro-services
Experience building and operating large scale distributed systems using Amazon Web Services (Sagemaker, S3, Cloud Formation, AWS Security and Networking)
Experience with Continuous Delivery and Continuous Integration

What we offer:

Health coverage
Paid volunteer days
Wellness resources

Additional Information:

Job Posted:
April 23, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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