ML Engineer
at They combine artificial intelligence and neuroscience. (BS1)
Machine Learning (ML)We are looking for an ML engineer (Neuroscience) and would like them to
- Build ML algorithms on MRI/ Medical data sets
- Design and build intelligent agents using continual learning and deep reinforcement learning techniques
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tune using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
- Collaborate on technical proposals to grow and define artificial intelligence research for intelligent systems
Must have:
- Knowledge of MRI image processing and inferencing
- Hands-on machine learning expertise with an intensive knowledge of hyperparameter optimization, statistical assumption, and implications
- Experience in deep learning models
- Excellent Python programming skills for ML coding
- Understanding of ML integration with our software
- Good understanding of neuroscience/ clinical data
Bonus if you:
- Are enthusiastic about all things brain science and/or mental well-being
- We are a company that highly values the ability to communicate well. We all take turns at the blog roster, so writing experience and/or enthusiasm is appreciated
- Our core values encourage empathy and innovation, you are gold if you share these
Shubham Vishwakarma
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Follow CutshortShubham Vishwakarma
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