Hewlett Packard Enterprise is looking to solve the business problem of optimizing business performance and sales through the development of AI-driven analytics solutions.
Requirements
Strong coding proficiency in Python and SQL
Deep understanding of algorithmic thinking, data structures, and statistical modeling
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch),
Familiarity with large language models (LLMs), prompt engineering, fine-tuning techniques, and AI evaluation methodologies is essential
Responsibilities
Will lead and contribute to the development of AI-driven analytics solutions focused on business performance and sales optimization
Work extensively with Databricks for scalable data engineering and Azure cloud services for model deployment, orchestration, and monitoring
Translate business requirements into scalable and performant technical solutions.
Design, code, test, and assure the quality of complex AI-powered product features.
The complexity and scale of the data pipelines, model integration, and performance optimization tasks require a candidate capable of architecting robust, production-ready solutions that directly impact strategic decision-making across the business.
Other
This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.
Currently pursuing a Master's degree in Computer Science, Data Science, Engineering, Applied Mathematics or a related technical field.
Be a motivated, self-starter who can operate with minimal handholding.
Collaborate across teams and time zones, demonstrating flexibility and accountability.
