Siemens Healthineers is looking to drive innovation in healthcare and robotics through advanced data science, machine learning, and computer vision applications. The company aims to develop AI-driven solutions for clinical decision support and improve robotic systems.
Requirements
- High level of expertise in big data, structured and unstructured data, Spark/PySpark, Delta Lake, and Databricks environment.
- Strong technical expertise in technologies, algorithms, and methodologies in the areas of object detection (e.g., YOLO framework) and image analysis, deep neural networks architectures for object detection.
- Experience with NVIDIA Omniverse environment and NVIDIA foundation models such as GR00T and Cosmos
- Substantial expertise in traditional computer vision and image analysis, for instance, utilizing OpenCV.
- Deep expertise in leveraging and extending BI tools such as Power BI and Databricks dashboards (especially with complex data models) to deliver innovative, high-impact solutions that stretch the boundaries of what these platforms can achieve.
- Technical expertise in technologies, algorithms and methodologies in the areas of transformer architecture, natural language processing, LLMs, copilots, and GenAI.
- High level of expertise in applied ML frameworks such as PyTorch, TensorFlow, Hugging Face, Scikit-learn, etc.
Responsibilities
- Design, develop, and deploy ML models and traditional 2D and 3D computer vision approaches for robotic vision tasks (object detection, segmentation, classification, 2D and 3D measurements).
- Design, develop, deploy, and maintain end-to-end automated data processing pipelines. This includes data ingestion, data mining, exploratory analysis, transformation, storage, modelling, automation, and basic optimization.
- Create, deploy, and maintain BI dashboards to communicate insights across the organization and promote data-driven decision making.
- Design, develop, and deploy ML models for predictive and prescriptive maintenance, clinical decision support, and text analysis and information extraction.
- Build prototypes for feasibility studies in healthcare environments and communicate results to stakeholders.
- Conduct exploratory data analysis across diverse data types (machine data, EHRs, sensor data, logs, images).
- Collaborate across departments to optimize product performance using statistical and analytical rigor, as well as input from subject matter experts across a complex organizational structure.
Other
- Master's level university degree in mathematics, statistics, computer science, physics, electrical engineering or engineering sciences.
- 5+ years of experience in data science and/or computer vision.
- Exceptional communication skills and mastery of visual storytelling with data. Able to distill complex analyses into compelling technical and business-relevant narratives that resonate with stakeholders across all levels of technical expertise.
- High comfortability with navigating ambiguous problems, translating broad stakeholder requests into necessary actions, and independently driving data initiatives to deliver actionable insights.
- Collaborative mindset and interest in continual learning and skill enhancement.
