Internship: Generative AI Engineer
Eindhoven - HTC 33, Netherlands
Philips
Lue lisää Philipsistä ja katso miten terveydenhuollon-, kulutuselektroniikka- ja valaistus-divisiooniemme innovaatiot auttavat parantamaan ihmisten elämää.Job Title
Internship: Generative AI EngineerJob Description
Job title: Internship: Generative AI Engineer
We're seeking an intern with hands-on expertise in Machine Learning, Natural Language Processing and Generative AI to join our team. In this role, you will design and build innovative and ethically responsible Generative AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact. Working at the intersection of natural language processing and machine learning, you will contribute to developing AI solutions that directly impact patient outcomes and Philips' growth in the healthcare sector.
Your role:
Design, train, and evaluate NLP and LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots, structured information extraction and named entity recognition, text generation, summarization, and more
Clean, preprocess, and curate data for evaluation, fine-tuning, and training
Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights
Keep up the latest advancements in generative AI research and integrate new techniques into the development process
You're the right fit if:
You hold Bachelor degree in Computer Science, Electrical Engineering, or a related field, and currently obtaining Master degree in a relevant field
You have at least one year of hands-on experience developing NLP and ML/DL solutions in an academic or professional environment
You are proficient in Python and relevant libraries for data science and deep learning (e.g., NumPy, Pandas, TensorFlow, PyTorch)
You have a strong understanding of classic NLP and experience with with LLMs, such as RAG, prompt engineering, data synthesis, automatic evaluation, and fine-tuning
You are familiar with cloud computing platforms
You have excellent communication skills and a collaborative mindset are essential
You have strong analytical and problem-solving skills, with attention to detail
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.
Tags: Chatbots Computer Science Deep Learning Engineering Generative AI LLMs Machine Learning NLP NumPy Pandas Prompt engineering Python PyTorch RAG Research TensorFlow
Perks/benefits: Career development
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