Generative AI & NLP Intern — Healthcare Impact

Philips; Eindhoven; On-site; EUR 5,600 - 7,800; Full time

Benefits offered by this job

Housing compensation

Travel compensation

Paid holidays per internship term

Philips shop discount

Job summary

Philips is seeking an internship candidate for Generative AI Engineer in Eindhoven. The role involves building NLP/LLM based solutions, data preparation, and close collaboration with cross‑functional teams to address real‑world healthcare challenges.

The intern will work on RAG, information retrieval, chatbots, and data-driven AI tooling, applying strong Python skills and cloud familiarity. Start date is November, with a minimum of 3 months on‑site work and flexible extension options.

Qualifications

• Pursuing Bachelor or Master in CS, Electrical Engineering, or related field.
• Minimum 1 year hands-on NLP/ML/DL experience.
• Proficient in Python and data-science libraries.
• Strong NLP fundamentals and experience with LLMs (RAG, prompts, fine-tuning).
• Familiar with cloud platforms.

Responsibilities

• Design, train, and evaluate NLP/LLM-based solutions (RAG, information retrieval, chatbots, extraction, NER, text generation, summarization).
• Clean, preprocess, and curate data for evaluation, fine-tuning, and training.
• Collaborate with stakeholders to understand business needs and deliver data-driven insights.
• Keep up with generative AI research and integrate new techniques into development.

Skills

NLP

LLMs

Python

Cloud computing

Communication

Education

Bachelor's or Master's in CS/EE or related

Tools

NumPy

Pandas

TensorFlow

PyTorch

Job description

Philips is seeking an internship candidate for Generative AI Engineer in Eindhoven. The role involves building NLP/LLM based solutions, data preparation, and close collaboration with cross‑functional teams to address real‑world healthcare challenges.

The intern will work on RAG, information retrieval, chatbots, and data-driven AI tooling, applying strong Python skills and cloud familiarity. Start date is November, with a minimum of 3 months on‑site work and flexible extension options.