AI/MACHINE LEARNING INTERN

Reply, Inc.; Michigan; On-site; USD 41,000 - 55,000; Full time

Job summary

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

The role focuses on ML/AI model development, LLM fine-tuning, data pipelines, and creating internal tools and dashboards, with growing autonomy as you gain experience.

Qualifications

• Bachelor's degree completed in CS or CE or related field.
• Strong foundation in data structures, algorithms, and programming.
• Proficiency in Python.
• Coursework or project experience in ML/data science.

Responsibilities

• Support the development and evaluation of ML/AI models, including forecasting and time-series.
• Assist in experimentation with LLMs, including fine-tuning and deployment.
• Contribute to backend services, APIs, and data pipelines supporting AI solutions.
• Help build internal tools and dashboards for data visualization and reporting.
• Collaborate with senior engineers with growing autonomy on the internship.

Skills

Data structures & algorithms

Python

ML/Data science coursework

AI/ML project experience

Communication skills

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

PyTorch

TensorFlow

scikit-learn

PEFT/LoRA

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 [e-mail]. Visit our website at www.reply.com to learn more about our open roles.