Principal AI/ML & Innovation Engineer

Principal AI/ML & Innovation Engineer

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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 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:

We are seeking Principal AI/ML & Innovation Engineer who will be leading initiatives across Hybrid Cloud portfolio and thrives on a challenging and fast-paced environment.

Develops and programs integrated software algorithms to structure, analyse and leverage structured and unstructured data in product and systems applications.

Can work with large scale computing frameworks, data analysis systems, and modeling environments.

Uses 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.

Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.

Contributions have visible technical impact on a product or major subcomponent.

 Applies in-depth professional knowledge and innovative ideas to solve complex problems.

Visible contributions improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs.

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...