Principal Machine Learning Engineer Jobs

Principal Machine Learning Engineer

Atlassian

Location:
Australia, Sydney

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Principal Engineer on the ITSM team, you will get the opportunity to work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI (Mean time to identify). You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Job Responsibility:

Work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI (Mean time to identify)
Use software development expertise to solve difficult problems, tackling complex 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
Work with a distributed, world-class team shaping the future of AIOps
Master Generative AI
Become a machine learning maestro
Collaborate with diverse minds
Make a tangible impact
Routinely tackle complex architectural challenges
Develop leadership skills

Requirements:

10+ years of total experience
Fluency in at least 1 scripting, OOP language
Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP
Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas
Good Understanding of Machine Learning project lifecycle
Familiarity with MLOps and experience with scaling and deploying Machine Learning models

Nice to have:

Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks)
Experience with MLOps tools (MLflow, Tecton, Pinecone, Feature Stores)
Experience with AIOps or related fields like IT automation or incident management
Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking)
Experience with using LLMs

What we offer:

Health coverage
Paid volunteer days
Wellness resources

Additional Information:

Job Posted:
May 13, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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