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AI/ML Solutions Engineer - Element Platform

  • Internship
  • Bengaluru (Bangalore Urban)
  • Teaching

Job description

AI/ML Solutions Engineer - Element Platform


Job Description:


At HPE we bring together the brightest minds to create breakthrough technology solutions that advance the way people live and work.  We see a future for our customers that will be edge-centric, cloud-enabled and data-driven.  To lead HPE into this future, the Element Platform Workload Engineering Team is looking for an experienced solutions engineer to join our team to support the MLOps “aaS” solution offering.       

As a solutions engineer you'll be responsible for helping develop, test and build MLOPS-as-a-service solutions leveraging the HPE Ezmeral Container Platform for HPE GreenLake.  The role is multi-disciplinary, requiring a technical background in the AI/ML domain along with understanding of container technologies and the full infrastructure stack.  The candidate will be working across hardware, software, system design, performance, automation and software development and will work hands-on with various HPE technologies as part of building cutting-edge solution offerings.   


Installation and configuration of full stack complex technical environments, including hardware (server, storage, network), OS and Kubernetes platform layers  

Testing and validation of build and deployment, performance and functional aspects of the solution  

Lifecycle validation and testing 

Engagement and support for GreenLake software and support teams 

Collaboration across a global team with engineering, development and product management  

Development of white papers (reference architectures, deployment and configuration guides, best practices, etc.)   

Demo development and proof-of-concept support  

Use-case workload development and modeling for validation of performance and/or functionality of MLOps  

Education and Experience Required:   

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. 

Minimum of 8 years of applicable work experience. 

Minimum of 2-4 years of experience with the Data pipeline and ML/AI deployment software stack. 

Knowledge and Skills 

Hands-on working experience with container technologies (Kubernetes, Docker) and developing complex solutions using container software stack. 

Strong infrastructure experience, preferably HPE   

Strong Linux experience 

Demonstrated AI/ML workload experience 

Strong analytical and problem-solving skills. 

Advanced Python, Powershell, Javascript, Node.js or similar languages  

Ansible, Terraform and other scripting / automation toolkits  

Experience with Agile development practices. 

Familiarity with Data Analytics solutions is a plus  

Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.

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

Join us and make your mark!
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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.



Job Level:


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.

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