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Job Description
Ohio, Wooster: Manufacturing, OH
Job Id:
794
# of Openings:
0
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.
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
Apply for this Position