Machine Learning Engineer

vor 3 Wochen


Zug ZG, Schweiz Coopers Group AG Vollzeit

Machine Learning Engineer / Data Scientist

For our Medical Devices client in the area of Zug, we are currently looking for a Machine Learning Engineer / Data Scientist

Start date: asap

Planned duration: 12 months

Extension: possible

Your tasks:

  • Solve core ML and data engineering challenges, handling model deployment and relevant backend/frontend engineering; as well as model evaluation, and finetuning.
  • Develop methods for semantic interpretation and automated redundancy removal of proprietary documents.
  • Devise experiments to help our understanding of a good knowledge base for LLM Agents.
  • Build pipelines that span data collection, document preparation and pre-processing, RAG implementation and LLM evaluation for different internal applications and use cases
  • Benchmark and evaluate optimization techniques to ensure efficiency and performance.
  • Familiarize yourself with diverse document sources and formats.
  • Measure and analyze the pipeline's performance, providing data-driven insights for improvement.
  • Work closely with cross-functional teams, communicating results clearly to key stakeholders across RDI Operations to ensure the product's reliability and project success.

Your Profile:

  • MS/PhD in Computer Science, Data Science, Statistics, (Computational) Linguistics or related fields
  • Experience in machine learning or related fields
  • Demonstrated technical capabilities in deploying and evaluating machine learning models in production environments or in ML/LLM research
  • Strong programming skills in Python and deep learning frameworks such as PyTorch, Tensorflow, JAX
  • A dynamic and resilient individual who is open to work in an evolving project environment, taking initiative to shape the project, continuously learning and adapting to new challenges and opportunities
  • Good communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences
  • Fluent in German and English



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