Remote AI & Data Science Engineer – Entry-Level Support

Dan Cummins Ford Lincoln; Tucson (AZ); Remote; USD 60,000 - 85,000; Full time

Job summary

IBM in the United States is seeking an entry-level Remote AI and Data Science Engineer to support AI initiatives and data-driven decision making. You will contribute to designing, building, and validating AI solutions while collaborating with a team of engineers across projects.

Ideal candidates bring a solid foundation in Python, ML concepts, and data preprocessing, and are eager to learn deployment workflows using Docker, REST APIs, and cloud platforms.

Qualifications

• Proficiency in Python and libraries such as NumPy, pandas, scikit-learn.
• Solid understanding of machine learning algorithms and model evaluation techniques.
• Experience with Git and collaborative development workflows.
• Ability to work with structured and unstructured data, including preprocessing and transformation.
• Familiarity with software engineering principles and debugging practices.
• Strong analytical and problem-solving skills.

Responsibilities

• Contribute to design, development, and implementation of AI solutions and analyze data to support business decisions across enterprise systems.
• Work with Senior Developers to build models that generate insights and help optimize company performance.

Skills

Python

NumPy

Pandas

scikit-learn

Git

Machine Learning

Data preprocessing

Docker

REST APIs

Linux basics

Problem solving

Tools

Docker

REST APIs

Git

Job description

IBM in the United States is seeking an entry-level Remote AI and Data Science Engineer to support AI initiatives and data-driven decision making. You will contribute to designing, building, and validating AI solutions while collaborating with a team of engineers across projects.

Ideal candidates bring a solid foundation in Python, ML concepts, and data preprocessing, and are eager to learn deployment workflows using Docker, REST APIs, and cloud platforms.