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Atlassian
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Principal Machine Learning Engineer

Principal Machine Learning Engineer

Atlassian

0 years

0 Lacs

greater kolkata area

Posted:1 day ago| Platform:

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Skills Required

learning combination onboarding design engineering jira ai data ml software architecture code documentation risk analysis logical reasoning programming java kotlin aws security model databricks apache sql query tuning etl scaling

Work Mode

On-site

Job Type

Full Time

Job Description

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.

Responsibilities

Regularly tackle the largest and most complex problems in the team, from technical design to launch.
Work closely with Product, Engineering and Design leads in Jira AI, and translate their requirements into solid engineering deliverables, delegating work to the teams.
Deliver solutions that are used by other teams and products.
Follow a Product Engineer mindset by building features that are data-driven and customer-centric, fostering that culture within the Jira AI group.
Exceptional problem solving ability using ML, AI and core software engineering.Routinely tackle complex architecture challenges and define architectural standards.
Actively contribute to the code delivery through leading code reviews & documentation, direct contribution and fixing complex bugs in high-risk surface areas.
Expertise in data analysis, statistical methods, and logical reasoning to inform data-driven decision-making.
Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
Mentor junior members on the team.

Qualifications

On your first day, we’ll expect you to have:

Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).
Understanding of Machine Learning project lifecycle/tools along with prompt engineering.
Experience in architecting and implementing high-performance RESTful microservices.
Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).
Experience with leveraging LLMs effectively and optimizing model usage on GPUs.
Experience with Databricks or Apache Spark.
Experience with Continuous Delivery and Continuous Integration.

It Would Be Great, But Not Required

Expert-level SQL knowledge, query tuning, schema design, and ETL processes.
Experience with Amazon Sagemaker.
Experience with scaling and deploying Machine Learning models.

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Principal Machine Learning Engineer