AI/Machine Learning Intern

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

• 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

Requirements

• Bachelor's degree (completed) in Computer Science, Computer Engineering, or a related field
• Not currently enrolled in university
• Strong foundation in data structures, algorithms, and programming fundamentals
• Proficiency in Python
• Coursework or project experience in machine learning / data science
• Experience with ML/DL frameworks (PyTorch, TensorFlow, scikit-learn) preferred
• Experience with LLM fine-tuning (e.g. PEFT, LoRA) or other applied ML techniques (time-series models, forecasting) preferred
• Prior internship, research, or open-source project experience in AI/ML preferred
• Strong communication skills; additional languages a plus

Core Competencies

Demonstrates expertise in developing and evaluating ML/AI models, with a strong foundation in data structures and algorithms. Proficient in Python and experienced with ML frameworks, contributing to AI-driven solutions and data engineering.

Highest-signal resume keywords

• Python Proficiency
• Machine Learning Frameworks
• LLM Fine-Tuning
• Data Structures and Algorithms
• Data Visualization

Hard Skills

• Machine Learning
• Deep Learning
• Time-Series Models
• Forecasting
• Data Engineering
• APIs
• Backend Services
• Data Pipelines
• Predictive Models
• Data Science

Soft Skills

• Strong Communication Skills

Industry Keywords

• AI Solutions
• Data Visualization
• Stakeholder Reporting
• Client-Facing Deliverables

Tools & Technologies

• PyTorch
• TensorFlow
• Scikit-learn