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, ETLELT 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 Masters 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 • Snowflake • AWS • S3 • Glue • Athena • Redshift • SageMaker • Google Cloud Platform • BigQuery • Vertex AI • Cloud Storage • Azure • Azure Data Lake • Synapse • Azure ML
Preferred Qualifications
Hands-on experience developing AIML 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, such as LangChain, LlamaIndex, OpenAI, etc. Experience using CLI tools, Git workflows, and CICD 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 Youll 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