What are the responsibilities and job description for the AI/ML Data Scientist Intern position at Dwyer Instruments?
We are seeking a highly motivated AI / ML Data Scientist Intern to assist in converting an existing RPG codebase used for product configuration and BOM (Bill of Materials) definition into an AI / ML-driven agent. This role is ideal for a college student with a strong foundation in artificial intelligence, machine learning, and software development.
Requirements
Responsibilities include the following. Other duties may be assigned.
Analyze and understand existing RPG code used for product configuration and BOM logic.
Develop AI / ML models to automate and optimize product configuration and BOM generation.
Design and implement machine learning workflows to replicate business logic from RPG-based rules.
Work with cross-functional teams to ensure accuracy and usability of the AI / ML agent.
Document processes, model performance, and provide recommendations for improvements.
Qualifications and Educational Requirements :
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Experience with Python and machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
Strong understanding of algorithms, data structures, and statistical modeling.
Familiarity with databases, SQL, and structured data processing.
Excellent problem-solving skills and ability to work with legacy codebases.
Essential / Preferred Skills :
Experience with RPG programming or familiarity with legacy business applications.
Knowledge of product configuration models, rule-based AI, or BOM structures.
Background in natural language processing (NLP) or reinforcement learning (RL).
Strong communication skills and ability to collaborate in a team environment.
What You'll Gain
Hands-on experience in AI / ML application to real-world business logic.
Opportunity to work with legacy code and modernize systems using AI.
Exposure to enterprise-level product configuration and BOM management.
Mentorship from experienced engineers and data scientists.
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