Moogsoft is the creator of Incident.MOOG – a next generation approach to IT Operations and Analytics driven by real-time machine learning. Incident.MOOG helps Enterprises & Service Providers deliver consistently excellent customer experiences, regardless of the underlying complexity or dynamic nature of the supporting infrastructure.

By now, leading organizations have deployed tools like AppDynamics or New Relic to monitor their application stack, tools like Splunk or ELK for logging, and Nagios or Zenoss to report on infrastructure health. Companies like Yahoo!, Intuit and GoDaddy are leveraging Moogsoft today to reduce operational noise and correlate events across all of their applications, network, infrastructure, and social media to gain actionable service insights and detect and resolve Incidents faster than ever before.

The successful candidate will report directly to the Moog Chief Science Officer. The role is to conduct optimisation and validation of new algorithmic concepts as directed by the CSO and to convert them to fully productionised and deployable implementations within the moogsoft product suite. The successful candidate needs a good mix of Machine Learning and Data Science skills along with expert-level knowledge of the java programming language.




A good working and theoretical knowledge of supervised & unsupervised machine learning techniques.
Experience in at least one of the following areas of data science:
– Natural Language Processing
– Classification
– Anomaly Detection
– Graph TheoryProgramming
ExperienceExpert level skills in:
– Java
Multithreaded architecturesWorking knowledge of at least one of:
– Python
– Octave/Matlab
– R

Nice to Haves:
To take prototype code and ideas, verify the efficacy of the technique to the problem area and produce fully productised implementations of new features ready for deployment in production environments.
Prototypes may take the form of one or more of:
– Documented algorithm definitions and description
– Standalone python/Octave scripts
– Standalone Java classes
We estimate that the role will require split of activity 20% research : 80% software engineering.

How to apply:

Please mention NLP People as a source when applying


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About Moogsoft

Moogsoft offers service assurance solutions for cloud and service delivery infrastructures.