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 analyticsWork with large-scale datasets stored in SQL Server and cloud data platformsBuild and optimize machine learning and Generative AI solutions, including RAG (Retrieval-Augmented Generation) systemsDevelop and deploy AI models and AI-powered applications into production environmentsCollaborate on data pipelines, ETL/ELT workflows, and analytics solutions (Databricks preferred)Contribute innovative ideas to solve complex, real-world manufacturing problemsFollow Artiflex Code of Behaviors, engineering standards, and best practicesParticipate in code reviews, debugging, testing, and performance optimizationCommunicate clearly with technical and non-technical stakeholdersRequired QualificationsPrior internship experience or minimum 1 year of relevant work experienceCurrently 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 AIProven ability to think critically, solve problems quickly, and work independentlyExcellent communication and collaboration skillsFamiliarity 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 QualificationsHands-on experience developing AI/ML models, applications, and deploying them to productionStrong experience with RAG systems, vector databases, and embedding-based searchExperience building, fine-tuning, or evaluating LLMsHands-on experience with Generative AI frameworks (LangChain, LlamaIndex, OpenAI, etc.)Experience using CLI tools, Git workflows, and CI/CD pipelinesExperience working on large, collaborative development teamsExposure to cutting-edge web technologies and AI-enabled applicationsExperience with UX/UI principles, design-centric approaches, and building engaging user interfacesWhat You’ll GainReal-world experience applying AI and data engineering in manufacturing and enterprise environmentsHands-on exposure to production-grade AI systemsOpportunity to contribute directly to AI initiatives that impact operations and decision-making