AI Intern at GAF in Parsippany, NJ

Summary: GAF is a company that values collaboration and continuous improvement, and they are seeking an AI Intern. The intern will assist with the development, testing, and deployment of machine learning models and AI solutions within GAF's data ecosystem, while gaining practical experience in a supportive environment. Responsibilities: - Develop and prototype AI/ML solutions for specific business needs using Python, standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch), and Google Cloud Platform - Assist in training, validating, and fine-tuning predictive models and/or Large Language Models (LLMs) to optimize manufacturing, supply chain, or customer experience processes - Analyze complex datasets to engineer new features and generate insights that support the development of AI-driven products - Present project milestones and model results at monthly Data Science meetings to a cross-functional group of analysts and engineers - Collaborate with data engineers to help build and optimize data pipelines required for training and deploying AI models - Deliver complex technical insights and model predictions in a clear, digestible manner to non-technical business stakeholders - Stay current with emerging AI trends, tools, and methodologies, recommending innovative approaches to the team Required Qualifications: - Pursuit of a Bachelor's or Master's Degree from an accredited institution in a quantitative field, with a minimum overall GPA of 3.0 - Academic, project, or internship experience focusing on Machine Learning, Artificial Intelligence, Deep Learning, or Natural Language Processing (NLP) - Strong programming proficiency in Python or R, and hands-on experience with SQL - Experience working with structured and unstructured data for model development - Ability to communicate complex mathematical and computational concepts with clarity and precision Preferred Qualifications: - Experience or familiarity with Generative AI APIs (e.g., OpenAI, Google Gemini) and prompt engineering - Familiarity with version control systems (e.g., Git) and MLOps concepts - Excellent communication and presentation skills - A rigorous approach to code quality, model evaluation, and data integrity Required Skills: Machine Learning, Artificial Intelligence, Python Important Skills: Google Cloud Platform, SQL, Deep Learning, Natural Language Processing Nice-to-Have Skills: Version control (Git), MLOps concepts Benefits: Health insurance options that include medical, dental, and vision for you and your family, Family-Building benefits support the many different journeys to fertility and parenthood, 401K plan includes an employer match contribution with your pre-tax and/or Roth contributions, Wellness program, Free financial coaching, Referral program, Product rebates when purchased for an employee’s primary residence, Internal training programs and courses, Generous tuition reimbursement program, Employee Resource Groups, which unite employees based on common perspectives, identities, demographic factors, or out of a desire to be an ally