Machine Learning software developer

Job description

Machine Learning software developer

  

Job Description:

   

We are currently looking for a Sr. Machine Learning Software Developer to join our growing Infosight Data Science and Services team within HPE to take trained machine learning models and deploy them in production at scale. 

HPE InfoSight collects hundreds of terabytes of operational and diagnostic telemetry from our customers, which enables us to help them get the most out of their IT infrastructure. As part of the Infosight team, you will work on cutting-edge projects, with high visibility. 

If you have the relevant experience, have a passion for quality and good software engineering practices, and enjoy working in a fast-paced, highly rewarding environment, then HPE is the place for you. 

In this role you will:

·  Work on data organization, summarization, and aggregations in our backend data stores
·  Work closely with data scientists, platform, and UI teams to implement machine learning models in Spark (e.g. via SparkR, Scala, or PySpark) build APIs, create micro-services, or Kafka topics.
·  Validate the machine learning models on different platforms.
·  Develop infrastructure to deploy machine learning models that enable fast model training/deployment iterations.
·  Automate data collection, pre-processing, governance, and analysis.
·  Communicate findings clearly and succinctly to technical and non-technical audience.

Minimum Qualifications:

·  Proficient in distributed computing frameworks such as Spark, micro-services, and Kafka.
·  Strong programming skills in Scala, R, SQL, Python.
·  MS/PhD in computer science or related fields, or equivalent industry experience.
·  Ability to work independently in a fast-paced, iterative development environment.
·  Experience with NoSQL and SQL databases such as Cassandra and Vertica preferred.

Job:
Engineering

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.