JJT Intern

JJT Intern at Johnson & Johnson will join the R&D IT team for a six-month full-time internship focused on building and deploying AI/ML solutions. Responsibilities include leading model development (training, testing, and optimization of ML/DL models such as Generative AI, Computer Vision, NLP, and Predictive Analytics), conducting independent research on AI trends, designing robust data pipelines for large-scale data processing, rigorously evaluating model performance, collaborating with cross-functional teams to integrate AI solutions into production, and maintaining thorough documentation and reporting. Required qualifications include pursuing a Master’s or Ph.D. in a technical field, a strong portfolio of AI/ML projects, proficiency in Python with PyTorch or TensorFlow, solid mathematical/statistical background, experience with Pandas/NumPy, understanding of MLOps, and familiarity with cloud platforms (AWS/Azure/GCP). Benefits include competitive compensation, mentorship from Ph.D.-level researchers, and exposure to high-performance, collaborative culture. To apply: submit resume, a cover letter highlighting academic achievements and AI projects, and links to GitHub/research portfolio.