Senior AI and Data Scientist
6 dni temu
About QIAGEN
We are a dynamic and innovative company that is committed to making improvements in life possible. Our Digital Business Solutions drives digital transformation along the value chain, ensuring better customer service and customer satisfaction, investing in new businesses & technologies, and building & enhancing digital capabilities.
The Data Science & AI Team is the cornerstone of this transformation and is looking for a new team member who is expected to lead our machine learning efforts.
Your Key Responsibilities
- Take ownership of end-to-end machine learning & AI projects within a global organization, ensuring tasks are completed on time and meet project goals.
- Design and deploy advanced machine learning methods and develop algorithms/models to extract insights from various data sources that support business operations across the value chain.
- Assist in the development and maintenance of data infrastructure and AI architecture, contributing to the ongoing improvement of the Data Science & AI department.
Requirements
- Minimum 3 years hands-on industry experience with ML, AI, MLOps or data science projects.
- Master's degree in a quantitative field (e.g. computer science, mathematics, physics, engineering, bioinformatics); PhD optional.
- Expert and up-to-date knowledge of supervised and unsupervised machine learning techniques.
- Up-to-date knowledge in LLMs, Generative AI and agentic AI (incl. experience with Azure AI Foundry).
- Fluent in Python and in using common machine learning libraries (e.g., sklearn, pytorch/keras/tensorflow/langchain, etc.).
- Familiar with MLOps frameworks, machine learning model deployment formats as well as cloud-based ML pipelines.
- Familiar with agile software development and knowledge of professional software development practices, tools for source control and project management especially MLflow, Git, JIRA and Azure DevOps.
Our Benefits
- Possibility to develop in an international company
- Training and development programs
- Private medical care
- Group Life Insurance
- Multisport card
- Flexible benefits platform
- Language classes
- Pension Scheme (PPE) after 12 months
- Childcare subsidy
- Friendly atmosphere
- Casual dress code
- Attractive location
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