Machine Learning Operations Intern

Job description

Machine Learning Operations Intern

  

Job Description:

   

At Hewlett Packard Enterprise (HPE), we bring together the brightest minds to create breakthrough technology solutions and advance the way people live and work. Our legacy inspires us as we forge ahead dedicated to helping our customers make their mark on the world.

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.

BlueData is transforming how enterprises deploy AI, Machine Learning, and Big Data Analytics and is focused on delivering innovative AI/ML solutions for enterprises of all sizes. Working as an intern within our Engineering team, you will be at the cutting edge of distributed Big Data systems, AI and Deep Learning frameworks, Kubernetes container orchestration for Enterprises' on-prem and cloud deployments.  

Responsibilities:

·  Work on projects in the domain of (i) infrastructure for big-data and machine-learning, (ii) containers and kubernetes,  and (iii) backend systems and UI.

Education and Qualifications:

·  Currently enrolled in a Bachelor's or Master's degree program in Computer Science or related technical field.
·  Experience with Data Structures or Algorithms gathered from: completing a data structures or algorithms class, coursework, course projects, research, individual projects, internships, or other practical experience inside or outside of school or work (including open source hobby coding).
·  Experience in Software Development and coding in a general purpose programming language.
·  Examples of coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, or Python.
·  Demonstrated interest and ability to learn other coding languages as needed.
·  Excellent communication skills, with the ability to speak and write in English.
·  Authorization to legally work in the United States.

We offer:

·  A competitive salary and extensive social benefits
·  Diverse and dynamic work environment
·  Work-life balance and support for career development
·  An amazing life inside the element! Want to know more about it?

Then let’s stay connected!

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Job:
Administration

Job Level:
N/A

    

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.