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