AI/ML Engineer I - Data & Analytics Engineer (Onsite)

Hewlett Packard Enterprise Company; San Jose (CA); On-site; USD 93,000 - 188,000; Full time

Benefits offered by this job

Health & Wellbeing programs

Professional development support

Inclusive culture

Job summary

Hewlett Packard Enterprise seeks an AI and Machine Learning Engineer I Graduate to join our data platforms team in California. You will work onsite, collaborating with cross-functional teams to translate business needs into scalable AI/ML solutions.

The role requires fundamentals in ML/AI, data processing, and cloud-enabled data pipelines, with experience in Python, SQL, and modern ML libraries. This is an entry-level position designed to grow expertise in a fast-paced environment.

Qualifications

• Bachelor's degree in computer science, engineering, data science, ML/AI or related field; Master's desirable.
• 0-2 years of experience expected.

Responsibilities

• Partner with cross-functional teams to translate business needs into technical solutions.
• Ingest and integrate structured/unstructured data from enterprise systems (Databricks, IT data platforms).
• Design and build curated data models and analytical layers for reporting.
• Develop, optimize and maintain pipelines using SQL, Python, and orchestration tools.
• Clean, transform and prepare datasets for reliable consumption.
• Ensure data quality and observability across pipelines and storage.
• Integrate new data sources, APIs, and event streams.
• Create clear data documentation and communicate technical concepts to non-technical stakeholders.
• Stay up-to-date with data engineering tools and cloud technologies.

Skills

Python

R

Java

TensorFlow

PyTorch

scikit-learn

Statistics

Machine Learning

Data Analysis

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree desirable

Tools

Databricks

SQL

Tableau/Matplotlib

Job description

Hewlett Packard Enterprise seeks an AI and Machine Learning Engineer I Graduate to join our data platforms team in California. You will work onsite, collaborating with cross-functional teams to translate business needs into scalable AI/ML solutions.

The role requires fundamentals in ML/AI, data processing, and cloud-enabled data pipelines, with experience in Python, SQL, and modern ML libraries. This is an entry-level position designed to grow expertise in a fast-paced environment.