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 6 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.
