ML Engineer/Data Scientist

For our client, a renowned pharmaceutical company in Basel, we are looking for an ML Engineer/Data Scientist role.

The responsible department is supporting the production of electrochemical sensors. They are seeking talented engineers with a passion for self-managed research and development of machine-learning pipelines that will transform the way that our domain-specific knowledge is stored. They are seeking a promising Machine Learning Engineer / Data Scientist to develop an internal retrieval augmented generation (RAG) pipeline to help shape the way they structure the internal knowledge base and documents.

The perfect candidate has a Master or PhD in Computer Science, Data Science, Statistics, Linguistics or equivalent experience and minimum one year of industry experience in machine learning. The ideal candidate should have knowledge in ML and engineering, and have demonstrated the capability of self-organized research. No knowledge in sensor production and process engineering is required, but interest would be greatly appreciated. Additionally we are looking for someone with good communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences and speak German and English fluently.

General information:

• Start date: asap
• latest Start Date: 16.04.2025
• Planned duration: 12 months
• Extension: possible
• Workplace: Rotkreuz
• Workload: 70-100%
• Home Office: Yes, up to 2 days per week
• Working hours: Standard
• Is a criminal record extract required: no

Tasks and Responsibilities:

• 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 preprocessing, 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.

Must Haves:

• MS/PhD in Computer Science, Data Science, Statistics, (Computational) Linguistics or related fields
• Min. one year of industry 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

Next steps:

• Interviews will take place from the beginning of February 2025.

The deadline for the submission of the applications is on 03.02. at 9.45 am.