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Opportunities · Internship

AI/Machine Learning Intern

Reply · Detroit Area, Michigan

Applies on Lever≈$39-$67/hr

Role overview

What you'll own

  • 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

Requirements and eligibility

  • 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.
  • Minimum Requirements
  • Bachelor's degree (completed) in Computer Science, Computer Engineering, or a related field — not currently enrolled in university
  • We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications.

Preferred, not required

  • Experience with ML/DL frameworks (PyTorch, TensorFlow, scikit-learn)
  • Experience with LLM fine-tuning (for example, PEFT, LoRA) or other applied ML techniques (time-series models, forecasting)
  • Prior internship, research, or open-source project experience in AI/ML

Dates for this one

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Posted

Sep 14, 2026

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Read the full listing context

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 jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

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