Responsibilities:
Manage projects
- Assists in the conceptualization of analytical projects
- Maintain project plans and status reports for all incoming and active projects
- Provide subject matter expertise to stakeholders throughout the whole analytics lifecycle
- Prepare documentation to outline data sources, models and algorithms used and developed
- Prepare data sets:
- Drive data collection efforts
- Assist with developing new data-discovery tools
- Extract data from data sources
- Propose new uses for existing data sources and structures
- Integrate multiple data sets to build large and complex data sets
- Apply programming abilities to build software to scrub, combine, and manage data from a variety of sources
Analyse data:
- Apply data mining techniques and programming skills to investigate leads, identify patterns and regularities in data
- Develop data models based on advanced statistical modelling, data mining, and machine learning methods
- Implement automated processes for efficiently producing scale models
- Identify areas of improvement of current processes, products/services or analytical models
Requirements:
- At least 8 - 10 years’ experience in developing, implementing and maintaining IT systems
- Solid experience in applying AI and machine learning techniques to medical imaging or healthcare datasets.
- Proficiency in programming (Python etc.) and good experience with deep learning frameworks (TensorFlow, PyTorch etc).
- Hands on experience in the development of image classification, object detection, segmentation, video analytics, multimodal model or related.
- Model deployment experience is preferred.
- Preferably 3 years of relevant working experience.
