AI/ML Engineer Intern — Time-Series & LLM Apps

Jobtailor; Illinois; On-site; USD 20,000 - 33,000; Part time

Job summary

Jobtailor in Illinois is seeking a passionate intern to support ML/AI model development and evaluation, including forecasting on time-series data, and experimentation with LLMs. You will contribute to backend services, data pipelines, and dashboards, collaborating with senior engineers and gaining growing autonomy on real client-facing deliverables.

Strong Python skills and a hands-on mindset are essential, with coursework or projects in ML encouraged.

Qualifications

• Bachelor's degree in CS or related field completed.
• Strong foundation in data structures and algorithms.
• Proficiency in Python and ML concepts.
• Coursework or project experience in ML/data science.
• Experience with ML/DL frameworks preferred.
• Experience with LLM fine-tuning or forecasting preferred.

Responsibilities

• Support the development and evaluation of ML/AI models, including forecasting and predictive models on time-series data.
• Assist in experimentation with LLMs, including fine-tuning and deployment of models for applied use cases.
• Contribute to backend services, APIs, and data pipelines supporting AI/data solutions.
• Help build internal tools and dashboards for data visualization and stakeholder reporting.
• Collaborate with senior engineers on assigned technical workstreams, with growing autonomy over the internship.
• Contribute to AI-driven and data engineering solutions on real client-facing deliverables.

Skills

Python

Data Structures & Algorithms

ML Frameworks

LLM Fine-Tuning

Communication Skills

Education

Bachelor's degree completed in Computer Science or related field

Tools

Python

PyTorch

TensorFlow

scikit-learn

Job description

Jobtailor in Illinois is seeking a passionate intern to support ML/AI model development and evaluation, including forecasting on time-series data, and experimentation with LLMs. You will contribute to backend services, data pipelines, and dashboards, collaborating with senior engineers and gaining growing autonomy on real client-facing deliverables.

Strong Python skills and a hands-on mindset are essential, with coursework or projects in ML encouraged.