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:
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 modelling environments.
Uses machine learning and statistical modelling 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.
Skillset:
- 6+yrs full stack development experience with 2/3yrs related in ML/AI.
- Frontend (ReactJS) and Backend Development (Python, Django, SQL and NoSQL DB) skills.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Knowledge of deployment tools (Terraform, Ansible).
- Understanding of CI/CD pipelines and automation.
- Familiarity with monitoring and logging tools (Prometheus, ELK Stack).
- Skills in scripting languages (Bash, PowerShell).
- Proficiency in Python and its libraries (NumPy, Pandas, etc).
- Good understanding of machine learning and deep learning frameworks (scikitlearn, TensorFlow, etc).
