Data Scientist / Machine Learning Engineer

  • GMV
  • Darmstadt, Germany
  • 27/04/2024
Full time Data Science Machine Learning Artificial Intelligence Software Engineering Data Warehouse

Job Description

If saving the world is your dream, but lycra suits are not your thing, this is the place for you!

We are expanding our team in the Big Data sector to take on new ESA projects.

We´ll get to the point; we'll tell you what's not on the web. If you want to know more about us please go to the GMV website.

WHAT CHALLENGE WILL YOU BE TAKING ON?

In our team you will be working on the design and development of innovative natural language processing and large language models (NLP/LLMs models) to solve complex language understanding and generation tasks. Your main tasks will be:

  • Preprocessing and cleaning of large-scale text data for use in training the Machine Learning models
  • Fine-tuning of deep learning models using frameworks like TensorFlow, PyTorch and Hugging Face transformers
  • Evaluation and validation of model performance using appropriate metrics and methodologies
  • Utilizing Kubeflow MLOps platform for the entire Machine Learning workflow

WHAT DO WE NEED IN OUR TEAM?

We are looking for Data Scientist and Machine Learning Engineers with background in natural language processing and large language models. If you want this position to be yours you should have:

  • Proven knowledge and experience in developing ML models with a focus on NLP and LLMs
  • Proficiency in Python programming language, along with the experience using ML libraries such as TensorFlow, PyTorch and scikit-learn
  • Solid understanding of NLP concepts and techniques, including text preprocessing, feature extraction, work embeddings, attention mechanisms, sequence modeling, and prompt engineering
  • Excellent problem-solving skills and the ability to work independently as well as part of a cross-functional team
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders

We will also value familiarity with cloud platforms and containerization technologies (e.g. Docker, Kubernetes).

WHAT DO WE OFFER?

Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.

Flexible start and finish times.

Personalized career plan development, training and language learning support.

National and international mobility. Do you come from another country? We can offer you a relocation package.

Competitive compensation with ongoing reviews, Contributory Pension Plan, Edenred tax-free benefit card and Deutsche Bahn Jobticket.

Wellbeing program: free fruit and coffee, physical, mental and financial health training, JobRad and much more!

  • ️ In our recruitment processes you will always have telephone and personal contact, face-to-face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at privacy@gmv.com

❤️ We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.

WHAT ARE YOU WAITING FOR? JOIN US

#LI-Hybrid