AI and Machine Learning Engineer

Overview

Hybrid AI/ML Engineer role designing and building scalable, production-grade AI/ML solutions for cloud applications, including GenAI and mission-critical deployments.

What you'll do

• Design AI/ML cloud application features based on specifications.
• Develop, train, evaluate, and deploy ML/DL models.
• Build GenAI applications using LLMs, RAG, and agent workflows.
• Develop data pipelines and AI services/APIs.
• Implement MLOps/LLMOps for deployment and monitoring.
• Evaluate model and application performance using AI observability tools.
• Develop and maintain GenAI/cloud modules following security policies.

What you'll need

• Typically 6+ years of overall experience.
• Hands-on experience with the listed AI/ML and GenAI technologies.
• Proficiency in Python and SQL.
• Experience with machine learning and deep learning (Scikit-learn, PyTorch/TensorFlow).
• Experience building with LLMs, prompt engineering, and RAG.
• Experience with vector databases and semantic search.
• Bachelor’s degree in computer science/engineering/information systems or a closely related quantitative discipline.

Details

• Hybrid work: work on average 2 days per week from an HPE office.