Junior Data and AI-ML Engineer

Lenovo; North Carolina; On-site; USD 90,000 - 130,000; Full time

Job summary

Lenovo is seeking a Data and AI-ML Engineer to join the Advanced Innovation Center. You will help build data pipelines, manage large datasets, and develop machine learning models that support Lenovo products and customers.

This role is ideal for someone passionate about data engineering, ML, AI, and cloud technologies, who enjoys learning and experimenting with new technology in a collaborative setting.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, IT, or 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 and statistical 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.
• Work with global engineering and data teams to develop scalable solutions.

Skills

Python

SQL

Data pipelines

Data modeling

Analytical thinking

Education

Bachelor’s degree in CS/Engineering/IT

Master’s degree preferred

Tools

PyTorch

TensorFlow

Scikit-learn

Pandas

Spark

Databricks

dbt

Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Data and AI-ML Engineer

Role Overview

In this role, you will join Lenovo’s Advanced Innovation Center (AIC) and help build data and AI solutions. You will work with engineering teams to develop data pipelines, manage large datasets, and build machine learning models that support Lenovo products and customers.

This role is ideal for someone interested in data engineering, machine learning, AI, and cloud technologies who enjoys learning and experimenting with new technology.

What You’ll Do

• 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.
• Work with global engineering and data teams to develop scalable solutions.

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, IT, or 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 and statistical methods.
• Experience with tools such as PyTorch, TensorFlow, Scikit-learn, or Pandas.
• Experience with Spark, Databricks, or dbt.
• Strong communication and problem-solving skills.

Preferred Qualifications

• Master’s degree in a related field.
• Experience with AWS.
• Experience with Parquet, Delta Lake, Iceberg, or Lakehouse architectures.
• Experience with Power BI, Qlik, or AWS QuickSight.
• Data Engineering or AI/ML certifications.
• Experience with Kaggle or other machine learning projects.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.