Scientific employees - Star Prairie, WI, United States - Aurora Solutions
Description
Job Description:
- Development and implementation of distributed AI solutions using ML-OPS principles and technologies
- Collaboration with patients, healthcare professionals, and data analysts for optimal use in the context of healthcare
- Planning and implementation of scalable ML pipelines, especially automated data and model pipelines (AUTOML)
- Monitoring and analysis of the performance of ML models for continuous improvement
- Participation in the creation of scientific publications, including the opportunity for a PhD
Requirements:
- Completed university degree in medicine, biology, computer science, software development, AI/ML, or related fields
- Experience in applying ML and AI technologies, particularly in the areas of deep learning and distributed systems
- Experience with ML-OPS technologies such as Kubernetes, Docker, MLflow, or Kubeflow
- Proficiency in Python, Java, or C++ and ML-OPS frameworks
- High motivation to apply AI methods and principles in the medical field
We offer:
- A challenging and diverse range of tasks with high responsibility
- An openminded and motivated team
- Support for worklife balance
- Personal and professional development opportunities through the internal education program at Heidelberg University
- Compensation according to the provisions of the collective agreement for public service employees (TV-L)
- Pension plan for public service employees (VBL)
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