Atlassian is hiring for Machine Learning Engineer

Atlassian-hiring-for-Machine-Learning-Engineer

Expected Salary: 25-35 LPA

Location: Bengaluru | Remote

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About Atlassian: 
Atlassian's mission is to unleash the potential of every team. We have developed well-known products such as Jira, Confluence, and Bitbucket, which help teams collaborate effectively and achieve their best work.

About ITSM Team: 
The IT Service Management (ITSM) team at Atlassian is dedicated to revolutionizing IT operations through innovative solutions. We are leveraging cutting-edge AI and machine learning algorithms to automate IT tasks, troubleshoot problems, and reduce mental overload for on-call engineers. Our goal is to move from reactive troubleshooting to proactive problem-solving with the help of Generative AI, making our AI models more robust and accurate over time.

What You Will Do: 
As a Principal Engineer on the ITSM team, you will work on cutting-edge AI and ML algorithms to modernize IT operations. You will use your software development expertise to solve complex problems, tackle infrastructure challenges, and shape the future of AIOps. Specifically, you will:

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- Shape the future of AIOps by innovating AI-powered operations tools.
- Master Generative AI to detect anomalies, automate responses, and personalize remediation plans.
- Become a machine learning expert, developing algorithms to analyze data and optimize system performance.
- Collaborate with a diverse team of engineers, data scientists, and researchers.
- Make a tangible impact on the reliability and performance of Atlassian's critical software.

On Your First Day, We'll Expect You To Have: 
- Fluency in a modern programming language.
- Solid understanding of machine learning concepts and algorithms.
- Familiarity with popular ML libraries and tools.
- Experience in architecting and implementing high-performance RESTful microservices.
- Familiarity with MLOps and experience with scaling and deploying ML models.

It Would Be Great, But Not Required If You Have: 
- Experience with cloud-based ML platforms.
- Experience with MLOps tools.
- Experience in AIOps or related fields.
- Experience building and operating large-scale distributed systems using AWS.
- Experience with OpenAI LLMs.

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