Atlassian's mission "to unleash the potential of every team" is the guiding light behind what we do. We have developed well-known products such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.
Atlassian helps teams everywhere change the world. Our products are revolutionizing the software industry, and helping teams collaborate and create the magic that provides their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to promote humanity.
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.
In this role, you'll get the chance to:
Shape the future of AIOps: Be at the forefront of innovation, shaping the next generation of AI-powered operations tools that predict, prevent, and resolve IT issues before they impact our customers
Master Generative AI: Delve into the world of generative models, exploring their potential to detect anomalies, automate responses, and personalize remediation plans
Become a machine learning maestro: Hone your skills in both supervised and unsupervised learning, constructing algorithms that analyze mountains of data to uncover hidden patterns and optimize system performance
Collaborate with diverse minds: Partner with a brilliant team of engineers, data scientists, and researchers, cross-pollinating ideas and learning from each other's expertise
Make a tangible impact: Your work will directly influence the reliability and performance of Atlassian's critical software, driving customer satisfaction and propelling our business forward
Routinely tackle complex architectural challenges, spar with other principal engineers to build ML pipelines and models that scale for thousands of customers
Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems.
5+ years of experience, 2+ years in AI/ML domain
Fluency in any one of the modern programming languages
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
Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models )
Familiarity with MLOps and experience with scaling and deploying Machine Learning models
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 OpenAI LLMs
Company
Locations
Bengaluru, IndiaExperience
FreshersSalary
Not mentionedJob Type
Work from OfficeDomain
Machine LearningApplication Deadline
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