Atlassian Hiring Machine Learning Engineer | Remote

Atlassian Hiring Machine Learning Engineer | Remote

Job Description

  • Job Sort: Work From Dwelling
  • Job Function: Machine Learning Engineer
  • Qualification: Bachelor’s/Grasp’s Diploma
  • Expertise: Freshers/Skilled
  • Wage: Rs.84000 Per Month

About Atlassian

Atlassian’s mission “to unleash the potential of each workforce” is the guiding gentle behind what we do. We have now developed well-known merchandise corresponding to Jira, Confluence, and Bitbucket, that match into the material of teamwork throughout various kinds of groups and the processes to assist each workforce succeed.

Atlassian helps groups all over the place change the world. Our merchandise are revolutionizing the software program trade, and serving to groups collaborate and create the magic that gives their finest work. Suppose NASA launching the Rover on Mars or Cochlear gifting these born deaf with the flexibility to listen to, your work instantly impacts the merchandise they use to advertise humanity.

About ITSM Group

IT Service Administration (ITSM) is likely one of the quickest rising merchandise of Atlassian. By means of this answer, we’re serving to technical and non-technical groups centralize and streamline service requests, reply to incidents, accumulate and keep data, handle belongings and configuration objects, and extra. Particularly this workforce inside ITSM works on utilizing cutting-edge AI and machine studying algorithms to automate IT operational duties, troubleshoot issues, and scale back psychological overload for oncall engineers and alike. By weaving Generative AI into our product we revolutionise AIOps by transferring from a conventional reactive troubleshooting-based system to a proactive problem-solving strategy. Our AI fashions are designed to evolve over time via steady studying making them extra sturdy, correct, and resilient.

What you’ll do

As a Principal Engineer on the ITSM workforce, you’re going to get the chance to work on cutting-edge AI and ML algorithms that assist modernize IT Operations by decreasing MTTR (imply time to resolve), and MTTI ( Imply time to determine). You’ll use your software program growth experience to resolve tough issues, tackling complicated infrastructure and structure challenges.

On this function, you will get the prospect to:

  • Form the way forward for AIOps: Be on the forefront of innovation, shaping the following technology of AI-powered operations instruments that predict, forestall, and resolve IT points earlier than they influence our clients
  • Grasp Generative AI: Delve into the world of generative fashions, exploring their potential to detect anomalies, automate responses, and personalize remediation plans
  • Change into a machine studying maestro: Hone your abilities in each supervised and unsupervised studying, setting up algorithms that analyze mountains of knowledge to uncover hidden patterns and optimize system efficiency
  • Collaborate with various minds: Companion with a superb workforce of engineers, knowledge scientists, and researchers, cross-pollinating concepts and studying from one another’s experience
  • Make a tangible influence: Your work will instantly affect the reliability and efficiency of Atlassian’s important software program, driving buyer satisfaction and propelling our enterprise ahead
  • Routinely deal with complicated architectural challenges, spar with different principal engineers to construct ML pipelines and fashions that scale for hundreds of shoppers
  • Lead code evaluations & documentation in addition to tackle complicated bug fixes, particularly on high-risk issues.

In your first day, we’ll count on you to have

  • 5+ years of expertise, 2+ years in AI/ML area
  • Fluency in any one of many fashionable programming languages
  • Strong understanding of machine studying ideas and algorithms, together with supervised and unsupervised studying, deep studying, and NLP.
  • Familiarity with standard ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas
  • Good Understanding of Machine Learning venture lifecycle
  • Expertise in architecting and implementing high-performance RESTful microservices ( API growth for ML Fashions )
  • Familiarity with MLOps and expertise with scaling and deploying Machine Learning fashions

It could be nice, however not required when you’ve got

  • Expertise with cloud-based machine studying platforms (e.g., AWS SageMaker, Azure ML Service, Databricks).
  • Expertise with MLOps instruments ( MLflow, Tecton, Pinecone, Function Shops )
  • Expertise with AIOps or associated fields like IT automation or incident administration
  • Expertise constructing and working large-scale distributed methods utilizing Amazon Internet Providers (S3, Kinesis, Cloud Formation, EKS, AWS Safety and Networking)
  • Expertise with utilizing OpenAI LLMs

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