AI Engineer Intern

This role has been designed as 'Hybrid' with an expectation that you will work on average 2-3 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Job Summary: We are seeking a highly motivated and detail-oriented AI Engineer Intern to join our team. In this role, you will work closely with our AI and Machine Learning experts to support the development and implementation of cutting-edge AI models and solutions. This internship provides a hands-on learning experience in AI technologies, data science, and software engineering, with opportunities to contribute to real-world projects and develop valuable skills in the AI field.

Responsibilities:

• Assist in designing, developing, and testing AI models for a variety of applications, such as natural language processing, computer vision, and recommendation systems.


• Collaborate with cross-functional teams to understand project requirements and contribute to data collection, preprocessing, and data exploration.


• Support the deployment and monitoring of machine learning models in production environments, ensuring model performance and accuracy.


• Research and implement best practices for model training, optimization, and evaluation to enhance performance and efficiency.


• Perform exploratory data analysis and generate insights to inform model design and improvements.


• Document code, methodologies, and findings, enabling easy transfer of knowledge and insights to team members.


• Stay updated on advancements in AI, machine learning algorithms, and relevant technologies, and share knowledge with the team.

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.


• Familiarity with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.


• Experience with programming languages such as Python, R, or Java.


• Basic understanding of data preprocessing, feature engineering, and model evaluation techniques.


• Strong analytical skills and a passion for solving complex problems.


• Excellent communication and collaboration skills, with a willingness to learn in a fast-paced environment.

• Experience with cloud platforms like AWS, Google Cloud, or Azure.


• Familiarity with big data tools like Hadoop or Spark.


• Prior experience with SQL or NoSQL databases.


• Understanding of AI model deployment and MLOps principles.

• Hands-on experience with real-world AI projects and the latest AI technologies.


• Mentorship and guidance from industry experts.


• Opportunity to grow and potentially transition to a full-time role based on performance.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Service And Support Planning {+ 6 more}

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:
Administration
Job Level:
N/A

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 .

USD Hourly: $28.75 - $35.00

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.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. .