Principal AI Engineer

Hewlett Packard Enterprise; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a Principal AI Engineer to design, develop, and deploy advanced ML models across large-scale data systems. The role emphasizes leadership, mentorship, and translating customer needs into AI solutions, with emphasis on scalable architectures and collaboration across data scientists, software engineers, and product managers.

The successful candidate will apply ML/DL techniques, data mining, NLP, and optimization to improve product and system performance, data

Qualifications

• Bachelor's or master's degree in computer science, engineering, data science.
• Experience applying ML/AI to large-scale data systems is preferred.
• Strong knowledge of ML algorithms, data preprocessing, feature engineering, and model deployment.

Responsibilities

• Design, develop, and deploy advanced ML models and algorithms.
• Lead cross-functional teams to integrate AI into products and systems.
• Research and experiment with novel AI approaches and disruptive technologies.
• Mentor junior engineers and drive best practices in AI/ML engineering.
• Ensure scalable, reliable AI architectures leveraging cloud and distributed computing.

Skills

Machine learning

Deep learning

Data analysis

Model evaluation

Technical leadership

Education

CS/Engineering/Data Science

Tools

Cloud services

Distributed computing

Data mining

NLP

Job description

Principal AI Engineer

This 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. Our culture thrives on finding new and better ways to accelerate what's next. We know varied 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

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. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. 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. They will also contribute to the visible technical impact on a product or major subcomponent. Along with this, they will apply in-depth professional knowledge and innovative ideas to solve complex problems. 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. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization.

Responsibilities

• 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. This involves conducting experiments, evaluating new algorithms, and identifying opportunities for innovation.


• 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. Act as a key mentor for the team.


• Partners with the engineering manager and team lead to establish long-term design and implementation strategies.


• Leads efforts to incorporate feedback loops and continuous improvement processes.


• Leads meetings, ensuring efficient progress tracking, issue resolution, and team coordination. Support the engineering manager in setting meeting agendas.


• Creates and delivers high-level presentations and reports to executive stakeholders, effectively communicating complex technical strategies and their impact on business goals.


• 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.

Education and Experience Required

Bachelor's or master's degree in computer science, engineering, data science