Junior Data & AI Engineer — Pipelines & ML Models

Lenovo; Morrisville (NC); On-site; USD 110,000 - 140,000; Full time

Job summary

Lenovo's Advanced Innovation Center is seeking a Data and AI-ML Engineer to build data pipelines, manage large datasets, and develop machine learning models that power Lenovo products and customers. You will work with engineering teams to deliver scalable data solutions and leverage cloud technologies.

This role suits someone passionate about data engineering, ML/AI, and cloud tech who enjoys learning and experimenting with new tools and approaches.

Qualifications

• Bachelor's degree or higher in a related field.
• 2+ years of experience in Data Engineering, Data Science, or Machine Learning.
• Strong skills in Python and SQL.
• Experience with ETL/ELT, data pipelines, and data lakes.
• Knowledge of machine learning concepts and methods.
• Experience with PyTorch, TensorFlow, Scikit-learn, or Pandas.
• Experience with Spark, Databricks, or dbt.

Responsibilities

• Build and maintain data models, pipelines, and data products.
• Work with data lakes and cloud-based data platforms.
• Support data governance, quality, metadata, and access controls.
• Build, test, and improve machine learning and AI models.
• Analyze large datasets using Python and SQL.
• Collaborate with global engineering and data teams to develop scalable solutions.

Skills

Python

SQL

ETL/ELT

Data pipelines

Data lakes

Machine learning basics

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, IT, or related field

Master's degree (preferred)

Tools

PyTorch

TensorFlow

Scikit-learn

Pandas

Spark

Databricks

dbt

Job description

Lenovo's Advanced Innovation Center is seeking a Data and AI-ML Engineer to build data pipelines, manage large datasets, and develop machine learning models that power Lenovo products and customers. You will work with engineering teams to deliver scalable data solutions and leverage cloud technologies.

This role suits someone passionate about data engineering, ML/AI, and cloud tech who enjoys learning and experimenting with new tools and approaches.