AI/ML Engineer — OnBase & Data Pipelines (Lincoln)

Robotics Technologies; Lincoln (NE); On-site; USD 78,000 - 112,000; Full time

Job summary

Robotics Technologies in Lincoln, NE, is seeking an entry-level AI/ML-focused professional to contribute to practical AI/ML research, prototyping, and pipeline development onsite. You will work with a senior team to support AI solutions and assist with OnBase development and workflow configuration.

The role emphasizes hands-on data pipelines, documentation, and collaboration with cross-functional teams. A 1–3 year background in AI/ML and a CS/Data Science/Engineering/MATH degree are highly

Qualifications

• 1–3 years of academic, internship, or entry-level experience in AI/ML, Data Science, Software Engineering, or a related field.
• Pursuing or completed a degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
• Strong foundational knowledge of Artificial Intelligence, Machine Learning, and applied analytics.
• Python proficiency, with a basic understanding of Object-Oriented Programming (OOP).

Responsibilities

• Support AI/ML research, prototype development, and evaluation of emerging AI technologies.
• Assist in developing and documenting data pipelines and AI solutions.
• Help with OnBase application development, including configuration, testing, and troubleshooting under senior guidance.
• Support workflow configuration, including forms, application testing, and release validation.
• Create technical documentation such as reports, knowledge articles, and support procedures.
• Collaborate with developers, business analysts, data teams, and governance teams.

Skills

AI/ML

Python

OOP

Data analysis

Education

CS/Data Science/Engineering/Math degree

Job description

Robotics Technologies in Lincoln, NE, is seeking an entry-level AI/ML-focused professional to contribute to practical AI/ML research, prototyping, and pipeline development onsite. You will work with a senior team to support AI solutions and assist with OnBase development and workflow configuration.

The role emphasizes hands-on data pipelines, documentation, and collaboration with cross-functional teams. A 1–3 year background in AI/ML and a CS/Data Science/Engineering/MATH degree are highly