Beschreibung
Tasks:
- Develop and apply the latest ML approaches to different datasets such as:
- data that is structured,
- images
- text
- speech
- Use/take a scientific, sensible, and realistic, approach to all project work
- Analyse and compare the outputs from differing methodologies and suggest best techniques to stake-holder(s)
- Produce well written and resilient code that can be successfully deployed to a production environment
- Work alongside/collaborate with scientific and medical specialists
- Clearly and succinctly present technical topics/subjects to various technical and no technical audiences
- Guide and support colleagues
Required Skills
- Several years of experience in data science and ML engineering
- Advanced knowledge of various programming languages such as python, R, SQL, Bash
- Advanced knowledge of Big Data tech such as Spark (this is a must)
- Advanced knowledge of deep frameworks eg
- TensorFlow
- PyTorch
- Keras
- Current understanding and exposure to ML techniques and approaches. This may, depending on the project, include:
- computer vision (must have)
- natural language processing
- predictive modelling
- deep learning
- time series analysis
- recurrent neural networks
- convolutional neural networks,
- Current understanding of general technical approaches such as
- Gradient boosting algorithms
- glmnet,
- supervised learning methods
- random forest
- Very good knowledge of DevOps systems and tools
- Very good knowledge of Software development tools/patterns/approaches etc
- Great communicator able to talk clearly abut technical topics to audiences of varied technical levels
- Unix/Linux experience
- Azure Cloud Environment (Very desirable)
- Lambda
- Educated to degree level in Computer Science or related field