Aartificial intelligence, Algorithms, Data Analysis, Data Engineering, Data science techniques, Design, IT, Java Programming, Machine learning techniques, Python Programming, R Programming, Statistics
Who We Are:
At HPE, our team members search beyond customers' needs today to accelerate what’s next and make a difference — for others, our company, and the planet. Our customers turn to us because we are positive, empathetic, and enterprising. We embrace opportunities to accelerate this transformation across data, connectivity, cloud, and security. And together we make what was once thought impossible, possible.
That’s why we not only give you the space to grow into the professional you want to be, but we also embrace who you are and where you come from. We also value the flexibility and autonomy to balance work and personal needs in a way that works best for you.
A career as an Artificial Intelligence and Machine Learning Graduate allows you the opportunity to develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. You will work with large scale computing frameworks, data analysis systems, and modeling environments.
What you'll do:
A career as an AI/ML Grad allows you the opportunity to contribute to the success of HPE by translating customer requirements and industry trends into AI/Machine Learning products, solutions, and systems improvement projects.
You will develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. You will work with large scale computing frameworks, data analysis systems, and modeling environments. You will formulate descriptive, diagnostic, predictive and prescriptive insights/algorithms and translate technical specifications into code.
You will apply, optimize, and scale deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. You will document procedures for installation and maintenance, complete programming, perform testing and debugging, define and monitor performance metrics. You will utilize your coding experience with Python, R, Java, or similar functional programming language and apply it to data exploration, transformation, and modeling.
What you’ll need:
What we’d prefer you bring:
At HPE, we’re:
Ready to take the next step? Open up opportunities with HPE.
HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status
graduates
Additional Skills:
Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Diversity, Inclusion & Belonging
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
Engineering
Job Level:
Entry
States with Pay Range Requirement
The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.
Annual Salary: $74,400.00 - $171,100.00
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. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.
Hewlett Packard Enterprise (HPE) is a prominent American multinational IT company headquartered in Spring, Texas. Established on November 1, 2015, in Palo Alto, California, it emerged from the division of the larger Hewlett-Packard corporation. HPE is distinctly business-oriented, specializing in servers, storage, networking, containerization software, and providing consulting and support services.
Austin, TX, USA
2-4 year
Austin, TX, USA
2-4 year
Durham, North Carolina, USA
2-4 year
Milpitas, CA, USA
0-2 year
San Jose, CA, USA
2-4 year
Fort Collins, CO, USA
2-4 year
Houston, TX, USA
0-2 year
Seattle, WA, USA
0-2 year
United States
0-2 year
Fort Collins, CO, USA
0-2 year
Milpitas, CA, USA
0-2 year
Texas City, TX, USA
2-4 year
Alpharetta, GA, USA
2-4 year
Bloomington, MN, USA
2-4 year
Chippewa Falls, WI, USA
2-4 year
Andover, MA, USA
2-4 year
Fort Collins, Colorado, USA
2-4 year
Milpitas, CA, USA
0-2 year
Fort Collins, Colorado, USA
0-2 year
Winnersh, Berkshire, UK
6-8 year
Winnersh, Berkshire, UK
6-8 year
Andover, MA, USA
4-6 year
Amstelveen, North Holland, Netherlands
6-8 year
Bolzano Vicentino, Vicenza, Italy
4-6 year
Cernusco sul Naviglio, Metropolitan City of Milan, Italy
4-6 year
Fort Collins, Colorado, USA
0-2 year
São Paulo, State of São Paulo, Brazil
10-12 year
Milpitas, CA, USA
0-2 year
San Jose, CA, USA
0-2 year
Fort Collins, Colorado, USA
0-2 year
Durham, NC, USA
0-2 year
Andover, MA, USA
0-2 year
Chippewa Falls, WI, USA
0-2 year
Bloomington, MN, USA
0-2 year
Alpharetta, GA, USA
0-2 year
Spring, TX, USA
0-2 year
Plano, TX, USA
16-18 year
Houston, TX, USA
16-18 year
Fort Collins, CO, USA
0-2 year
Milpitas, CA, USA
0-2 year
Milpitas, CA, USA
0-2 year
Fort Collins, CO, USA
0-2 year
Milpitas, CA, USA
2-4 year
San Jose, CA, USA
2-4 year
Spring, TX, USA
2-4 year
San Francisco, CA, USA
2-4 year
Spring, TX, USA
8-10 year
San Francisco, CA, USA
8-10 year
Spring, TX, USA
6-8 year
San Jose, CA, USA
6-8 year
Fort Collins, CO, USA
6-8 year
Seattle, WA, USA
6-8 year
Spring, TX, USA
6-8 year
San Jose, CA, USA
6-8 year
Fort Collins, CO, USA
6-8 year
Seattle, WA, USA
6-8 year
Diegem, Machelen, Belgium
0-2 year
Böblingen, Germany
0-2 year
Heredia, Costa Rica
2-4 year
Aguadilla, Puerto Rico
2-4 year
Amstelveen, Netherlands
2-4 year
Böblingen, Germany
2-4 year
Stockholm, Sweden
2-4 year
Bristol, UK
2-4 year
Edinburgh, UK
2-4 year
Bangalore, Karnataka, India
6-8 year
Bloomington, MN, USA
2-4 year
Fort Collins, CO, USA
2-4 year
San Jose, CA, USA
2-4 year
Spring, TX, USA
2-4 year
Sydney NSW, Australia
6-8 year
Kuala Lumpur, Selangor, Malaysia
6-8 year