Internship Machine Learning and AI
KLM Royal Dutch Airlines •
Position Type: Internship
Job Description:
Internship Machine Learning and AI
Wo
Junior
Internship
Offices
40 hours
KLMs Data & Technology department aims to become the worlds most data & technology-driven airline. We are changing our way of working by automating our processes wherever possible. Additionally, we are modernizing our technology stack and architecture. With the right positioning of enthusiastic and skilled colleagues in our Data & Technology organization, we believe we have the key to achieving this ambition. During this internship you will be working closely with our software engineers and data scientist.
What will you do?We are excited to offer an internship opportunity to a motivated and talented intern to join our team and contribute to the development and deployment of NLP models within our MLOps framework. We are committed to ensure high standards of safety for our employees. In our Safety Security and Crisis Management Department we continuously strives to enhance our safety protocols and reporting mechanisms. To support this mission, we are developing an advanced safety reporting application: See It, Say It that leverages Natural Language Processing (NLP) to streamline the reporting process and assist our analysts.
Where do you land?You will join the D&T platform Safety, Security and Crisis management where you will work on our safety reporting app. You will be working on the following:
- Colaborating in development of NLP Models:
Assist in the creation and fine-tuning of NLP classifiers to enhance the safety reporting application; - MLOps Framework Integration:
Work on integrating NLP models into our existing MLOps framework to ensure seamless deployment and monitoring - Co-reseach in posibilities for use state-of-the art models:
Reseach on the possibilities to incorporate state-of-the-art models for improving the performance and accuracy of our NLP solutions.
Your profile- Bachelor/Master of Currently pursuing at least a bacherlors degree in Computer Science, Data Science, Artificial Intelligence, or a related field;
- Strong understanding of NLP concepts and experience with NLP libraries (e.g., SpaCy, NLTK, Hugging Face Transformers);
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch);
- Experience with MLOps tools and practices is a plus (e.g., MLflow, Kubeflow);
- Strong programming skills in Python;
- Excellent problem-solving skills and ability to work collaboratively in a team environment;
- Strong communication skills to effectively convey technical concepts and collaborate with non-technical stakeholders.
What do we offerKLM offers you a highly instructive experience in a dynamic organisation in which you will play an important role. You can develop yourself considerably during this internship, both personally and professionally. In addition, this internship offers you the opportunity to build up your network, as you will be working with many different KLM employees!
Another advantage of a internship at KLM is the KLM Taxibaan association run by and for interns. This association expands your network and organises fun events and interesting excursions within the KLM organisation. There is also a internship allowance.
Youve got Airmail: the playful Valentines campaign that attracted millions of viewers Tens of thousands of love letters were sent worldwide via our Valentines Day tool.
KLM has partners all over the world - thanks in part to Roland With KLM, you can book flights to over 600 destinations. We only carry out a small portion ourselves - for the majority, Roland makes arrangements with partners.
Ready for your next destination?Then dont wait any longer, and send us your CV for the final boarding call on 11/10/2024! You dont need to write a cover letter; during your application we will ask you some specific questions. You will be notified within two weeks of the closing date of the vacancy.
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If you have any questions regarding this vacancy, contact our recruiter Anne-Lisa or hiring manager Francoise!This job has the following ID number: 16950
Call Anne-LisaE-mail Anne-LisaCall FrancoiseE-mail Francoise
Job Ident #:
16950
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