AI Co-Op

AI Co-Op 2.9 2.9 out of 5 stars 1425 E Bowman St, Wooster, OH 44691

AI Co-Op General Description:

Artiflex Manufacturing is seeking a highly motivated Technology Intern with a strong foundation in AI, data engineering, and modern software development to support real-world manufacturing, quality, and operations use cases. This role offers hands-on exposure to building, deploying, and scaling AI-driven applications using enterprise data. The intern will work closely with engineering and business stakeholders to design, develop, and deploy data- and AI-powered solutions that improve operational efficiency, quality analytics, and decision-making across the organization.

Responsibilities:

Design, develop, and maintain AI and data-driven applications for manufacturing, quality, and operational analytics Work with large-scale datasets stored in SQL Server and cloud data platforms Build and optimize machine learning and Generative AI solutions, including RAG (Retrieval-Augmented Generation) systems Develop and deploy AI models and AI-powered applications into production environments Collaborate on data pipelines, ETL/ELT workflows, and analytics solutions (Databricks preferred) Contribute innovative ideas to solve complex, real-world manufacturing problems Follow Artiflex Code of Behaviors, engineering standards, and best practices Participate in code reviews, debugging, testing, and performance optimization Communicate clearly with technical and non-technical stakeholders Required Qualifications Prior internship experience or minimum 1 year of relevant work experience Currently pursuing or recently completed a Master's degree in Computer Science, Data Science, Information Technology, or Artificial Intelligence / Machine Learning (preferred) Strong programming skills in Python, SQL, and C / C++ Experience working with large datasets and relational databases (SQL Server preferred) Strong understanding of modern AI trends, especially Generative AI Proven ability to think critically, solve problems quickly, and work independently Excellent communication and collaboration skills Familiarity with modern cloud-based data and AI platforms is preferred but not mandatory, such as: Lakehouse platforms (Databricks or Snowflake) AWS (S3, Glue, Athena, Redshift, SageMaker) Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage) Azure (preferred) (Azure Data Lake, Synapse, Azure ML) Preferred Qualifications Hands-on experience developing AI/ML models, applications, and deploying them to production Strong experience with RAG systems, vector databases, and embedding-based search Experience building, fine-tuning, or evaluating LLMs Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, OpenAI, etc.) Experience using CLI tools, Git workflows, and CI/CD pipelines Experience working on large, collaborative development teams Exposure to cutting-edge web technologies and AI-enabled applications Experience with UX/UI principles, design-centric approaches, and building engaging user interfaces What You'll Gain Real-world experience applying AI and data engineering in manufacturing and enterprise environments Hands-on exposure to production-grade AI systems Opportunity to contribute directly to AI initiatives that impact operations and decision-making