Data Scientist - Artificial Intelligence Engineer

Job description

Data Scientist - Artificial Intelligence Engineer

  

Job Description:

   

Here at HPE we are growing our AI and Data team to explore Predictive Analytics, Natural Language Processing (nlp), Video Analytics, and various other facets of Artificial Intelligence. 

As a Data Scientist - Artificial Intelligence Engineer, you will make your mark and join us at this exciting time of growth and transformation. You will quickly slot into existing projects and enhance customer outcomes, and be adaptable to positioning data oriented solutions with new clients projects.

Our main technologies are Python, R, and Tensorflow. With us you will be leading end-to-end projects with clients, from initial exploratory workshops to engage customer teams and get them excited about Artificial Intelligence, to the final delivery of their project.

You will be a Data Scientist - Artificial Intelligence Engineer ready to make your mark and join us at this key period of growth in the field of AI. 

Recently HPE has acquired both BlueData and MapR furthering our AI and data proposition capabilities with clients. We want you to join us on our journey into AI, to make key business decisions, and lead us forward into the world of Artificial Intelligence, Machine Learning, and Big Data. You will be predominantly delivery focused with some business development. 

What is on offer:

A supportive team structure, the tools to grow and develop, and the knowledge that you are making your mark at this exciting time at HPE. 

We really believe in our people and in rewarding achievement and offer a highly competitive salary and package. 

You will have access to excellent benefits including 25 days annual leave (with the opportunity to buy more), private medical cover, an excellent pension scheme (and the usual...Cycle to Work, retail vouchers,leisure travel insurance, etc.) 

Your role in Artificial Intelligence:

· 
Leveraging HPE’s AI & Data ecosystem solutions

· 
Lead workshops exploring our AI capability with clients and innovating propositions to the point of sale 

· 
Experience of several programming languages (Python and scripting languages) and the ability to pick up new languages easily

· 
Understanding of relational and non-relational databases

· 
Integration with REST Web Services

· 
Understanding of orchestrations tools

· 
Knowledge of data science platforms such as DataIku, H2O, RapidMiner

· 
Experience of the wider data ecosystem preferable (NiFi, Kafka, HDFS etc)

· 
Understanding of security principles

· 
Experience within an Agile team / of agile team methodologies

· 
Ideally some experience of leveraging software engineering best practices such as unit testing

· 
Experience of deploying or integrating with common data platforms preferable (Hadoop ecosystem, RDBMS, NoSQL etc)

· 
Ability to work as part of a team either remotely or on customer site

· 
Understanding of end-to-end project delivery

Continue the conversation by clicking apply now below, or directly via our Careers Portal at www.hpe.com/careers .

Find out more about us and follow us on:

https://www.facebook.com/HPECareers

https://twitter.com/HPE_Careers  

HPE is an Equal Employment Opportunity/Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and are proud to announce our new partnership as a Stonewall Global Diversity Champion. This cements our commitment to be a global diverse team that is representative of our customers and crafting an inclusive environment of mutual respect where we can continue to innovate and grow together.

Please note that due to the nature of our work, you may be required to travel .

Job:
Services

Job Level:
Expert

    

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

   

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.