Principal AI Engineer

Principal AI EngineerThis role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

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. We have the flexibility to manage our work and personal needs. HPE is seeking a senior level

AI Engineer

to develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. This person will work with large scale computing frameworks, data analysis systems, and modeling environments.
Our

AI Engineer

will use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.
The

AI Engineer

will contribute to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects. Visible contributions to improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs is also a top priority.
We look to our AI Engineers to recognized internal authority on key technology area applying innovative principles and ideas. Provides technical leadership for significant project/program work. Responsible for designing, developing, and deploying advanced machine learning models and algorithms. This includes selecting appropriate techniques, data pre-processing, feature engineering, model training, and evaluation.
Stays up to date with the latest advancements in the field and leads research initiatives to explore novel approaches and technologies. Responsible for designing the architecture of AI systems and ensuring scalability, performance, and reliability. This includes optimizing algorithms, leveraging distributed computing frameworks, and utilizing cloud services to enable efficient and effective AI solutions.
Works closely with other teams, such as data scientists, software engineers, and product managers. You will collaborate to understand requirements, identify opportunities for AI integration, and provide technical guidance throughout the development process.
Provides technical leadership and mentorship to junior engineers, guiding them in best practices for AI and machine learning. Review their work and provide feedback to help them grow and improve their skills.
Oversees and guides multiple design review sessions across different projects, ensuring consistency in design choices and adherence to best practices. Partners with the engineering manager and team lead to establish long-term design and implementation strategies.
Support the engineering manager in setting meeting agendas.
Applies and leverages data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets
May be involved in the design and development of solutions to complex applications problems, system administration issues, or network concerns, where applicable to the role.
Bachelors or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
~8 + years experience in AI and Machine Learning.

Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling.
Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks. Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit is required.
Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.) Strong programming skills are necessary for implementing and deploying machine learning models. Proficiency in Python, Java, or C++ is required. Ability to write clean, efficient, and maintainable code and have knowledge of software engineering best practices.
Be skilled in preparing and cleaning data for machine learning tasks, which include data wrangling, feature extraction, dimensionality reduction, handling missing values, and addressing data quality issues.
A solid understanding of mathematical concepts, such as linear algebra, calculus, probability theory, and statistics, is crucial for effectively designing and evaluating machine learning models.
Proficiency in data visualization tools and techniques to analyze and present insights gained from AI and machine learning models. Familiarity with software engineering principles, version control systems (e.g., Git), testing methodologies, and agile development practices is valuable. This helps ensure the robustness, scalability, and maintainability of AI systems.
Stay up to date with the latest advancements in the field, follow research papers, attend conferences, and contribute to the AI community. Experience in leading research initiatives, publishing research papers, or contributing to open-source projects in AI.
Strong communication skills are necessary to collaborate with cross-functional teams effectively, explain complex AI concepts to non-technical stakeholders, and provide technical leadership and mentorship to junior engineers.
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
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 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.
Unconditional Inclusion
We have the flexibility to manage our work and personal needs. Engineering

Job Level:
Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
Recruitment Fraud Alert
These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.