Hewlett Packard Enterprise
Bangalore
Enterprise Software & Network Solutions
Hewlett Packard Enterprise creates new possibilities for technology to have a meaningful impact on people, businesses, governments and society. HPE brings together a portfolio that spans software, services and IT infrastructure to serve more than 1 billion customers in over 170 countries on six continents. HPE invents, engineers, and delivers technology solutions that drive business value, create social value, and improve the lives of our clients.
Learning does not only happen through training. Relationships are among the most powerful ways for people to learn and grow, and this is part of our HPE culture. In addition to working alongside talented colleagues, you will have many opportunities to learn through coaching and stretch assignment opportunities. You’ll be guided by feedback and support to accelerate your learning and maximize your knowledge. We also have a “reverse mentoring” program which allows us to share our knowledge and strengths across our multi-generation workforce.
Every day, millions of sensors across the globally connected HPE installed base sends home data. This data is used to predict and prevent problems in the systems.
Selected candidates will work with the data from customer systems and deriving insights applying AI/ML/deep learning techniques to predict/prevent issues before they happen. This work would involve designing/implementing the data pipeline from data collection to scrubbing and analysis. An ideal candidate would be one with strong computer science fundamentals with the following skills:
- Experience in machine learning /Deep Learning techniques and algorithms ( Logical regressions, forecasting, prediction techniques , clustering and classification methods. ).
- Experience in Machine Learning, Data mining using state-of-the-art methods is required.
- Data analytics experience with SQL, Hadoop or ideally Spark.
- Experience building data pipelines using Scala(Preferably), Python or Java is good to have.
- Good experience in building Microservices & ETL (data collection & processing)
- Exposure to all SMACK technologies would be valuable
- Familiarity with Storage/Data protection domain is desirable
Experience: 9 -14 years, with at least 3 years in data science.
What we can offer you:
Extensive benefits, a competitive salary and participation in the shared values and purpose that make Hewlett Packard Enterprise one of the world´s most attractive employers! At HPE, our goal is to provide equal opportunities, flexible work-life balance, and constantly evolving career growth.
If you are looking for challenges in an exciting, supportive and international work environment, then we definitely want to hear from you. Continue the conversation by clicking apply now below, or directly via our Careers Portal at www.hpe.com/careers.
Join us and make your mark!
Find out more about us and follow us on:
https://www.facebook.com/HPECareers
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
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This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office
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