InMarch2018,Aruba,aHewlettPackardEnterprisecompany, acquiredCape,alocalstartupwithabigvision: toimprovethewaytheInternetworks.AsCapewebuiltasmallteamofskilledengineersanddesignersinCapeTownandaWi-FimonitoringproductwhichwonusBestStartupof2017fromWi-FiNOW,aglobalindustrybody.Now,aspartofAruba, wearegrowingourteam,buildingnewproducts,andscalingoursystemstomeeta 1OOXsurgeindemand

duringthenext18-24months.

Whatdowedo?OurproductgivesITmanagersinsightintohowtheirWi-Fi,networks,andappsareperforming24/7andhowtofixanyissuesbeforeuserscomplain.Othermonitoringtoolsarecomplexandintimidating,builtbynetworkengineersfornetworkengineers;oursisbeautifulandsimple,andourcustomersloveit.Ourhardwareagentisadelighttoinstallandoursoftwareiseasyandfuntouse. Ourproductisusedinoffices,hotels,airports,stadiums,retailstores,andmore-everybusinesswithWi-Fiisapotentialcustomerwecanhelp.

Wedesignourownhardware andmanufactureinCapeTown. Ourbackend andfrontendsystemsandsoftwarearebuiltentirelyin-houseusingPython,React,Java,lnfluxDBandAWSKinesisamongothertechnologies.

About you

Are you a seasoned data scientist with experience in setting up production level 
machine-learning based environments? Would you like to build a new ML-driven product which uses data from tens of thousands of devices and hundreds of millions of new records per day? 

We'relookingforsomeonewith:

  •  Has experience working with and creating production-level data architectures/machine learning pipelines
  • Is knowledgeable in a variety of machine learning techniques and their real-world advantages/drawbacks
  • Has the ability to interpret data using methodologies such as pattern recognition, anomaly detection, signal processing etc. and present data and model findings in a way that provides actionable insights
  • Has passion and self-motivation to explore large data sets in creative ways
  • Can process, cleanse, and verify the integrity of data used for analysis
  • Can perform ad-hoc analysis and presenting results in a clear visually appealing manner
  • Can create automated anomaly detection systems and constant tracking of its performance  
  • Can develop, custom data models and algorithms to apply to data sets
  • Is able to learn and grow with the field •  
  • Bonus: Advanced degree in mathematics, statistics, computer science, or related field

What you will be doing

You will be responsible for building a production-ready data analysis system which will process the data generated by our sensors. You will create, manage and maintain tools and systems which will provide our customers with insights, predict anomalies and suggest improvements to complex networking and IT environment. 

What we are offering

Excitementandgrowthofastartupwiththe resourcesandsecurityofaFortune100company

Full-timeposition

Competitivesalary

Greatbenefits

Exposuretolatest&greatesttechnologies

Opportunitytohelpshapetheproduct

Growthand globalscope

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

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Confirmed 12 hours ago. Posted 30+ days ago.

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