Posted on:September 14, 2026

AI/Machine Learning Intern at Reply.io

Reply.io is hiring a AI/Machine Learning Intern in Chicago, IL, US +1 more. Hybrid.

About Reply.io

Reply is a company that designs and implements solutions in digital services, technology, and consulting. It operates as a network of specialized companies supporting global industrial groups in sectors including telecom and media, industry and services, banking, insurance, and public administration. Its services include consulting, system integration, and digital services, with a focus on AI, cloud computing, digital media, and the Internet of Things.

AI/Machine Learning Intern job description

Concept Reply, part of the Reply Network, is a leader in IoT solutions. We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond in all aspects of Internet of Things (IoT) and Cloud Computing. From designing and developing customized IoT solutions to implementing and managing them seamlessly, Concept Reply helps customers unlock the potential of IoT.

We are seeking a Computer Science or Computer Engineering graduate for an internship contributing to AI-driven and data engineering solutions, working alongside our data and AI engineering team on real client-facing deliverables.

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

Minimum 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

Preferred Qualifications

Experience with ML/DL frameworks (PyTorch, TensorFlow, scikit-learn)

Experience with LLM fine-tuning (e.g. PEFT, LoRA) or other applied ML techniques (time-series models, forecasting)

Prior internship, research, or open-source project experience in AI/ML

Strong communication skills; additional languages a plus

About Reply

Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.

The base compensation range for this internship position is between $30 - $40 hourly. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.

Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.

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Applications go straight to Reply.io. We never sit between you and the employer.

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