About The Role
As an Data Scientist you will work closely with our technical founder to build our core ML capabilities. This includes data processing, simulation, model development, validation, agent training, and ML operations. To build impactful solutions, you will immerse yourself deeply into our industrial customers' reality to apply your experience and intuition of ML technologies to the task and work closely with our platform engineers to bring results to production in short iteration cycles. If you like to push the boundaries of what is possible with ML and technology, Juna is the right place for you.
Core Responsibilities
Core Responsibilities
- Data Processing: Together with our platform team develop tooling to automate the processing and analysis of massive amounts of real-time industrial process data such as high frequency sensor data.
- Model Development: Research, train and evaluate AI models to optimize industrial processes, using state of the art re-enforcement learning, numerical optimization, and control theory.
- Algorithm Development: Merge physical insights and customer knowledge with AI to improve model performance and safety and tailor our models to customer needs.
- Performance Validation: Validate AI efficacy across diverse datasets, ensuring robust performance.
- Quality & Safety Monitoring: Develop quantitative methods for automated monitoring of models in production.
- Model Deployment: Work closely with our platform engineers to integrate ML into the production environment.