We are looking for people who want to accelerate the use of AI
Research in AI is moving at a rapid pace and has already demonstrated its ability to drive disruptive developments in both business and society. AI has the potential to reshape industries, transform the labor market, and fundamentally streamline traditional structures. Now we need to translate knowledge into more working solutions. Do you want to be part of making AI work for real?
About AI Lab
Chalmers Next Labs is establishing a new lab focusing on the use of AI - AI Lab for Science and Society. In our new AI lab, AI is tested, validated and scaled. The lab offers expertise and a practical test environment where authorities, companies and researchers get help to solve concrete challenges in, for example, healthcare, transport and production - and find solutions that can be used quickly in reality.
These are the profiles we are looking for
We are now building a team that combines research depth with practical experience, and we are therefore looking for more curious and experienced people who want to join us in developing our AI Lab. In a first step, we are recruiting about ten senior researchers and engineers in data management, modeling and validation to the lab. The profiles we are currently looking for are:
Head of operations for AI Lab
- A driven leader with a deep interest in technology and experience from both business and academia. The application deadline has passed.
Data collection and preparation
- Collection of data via APIs, databases, sensors or manual input, and identification of appropriate model architectures.
- Curation and preprocessing of data and datasets and models.
- Ensuring ethical management, data protection (GDPR) and legal compliance.
- Close collaboration with data scientists, ML engineers and subject matter experts to align data basis with model requirements.
Modeling and training
- Design, development and training of machine learning models.
- Performance optimization through iterative training, validation and model evaluation.
- Model integration in production environment in collaboration with software and platform engineers.
- Continuous monitoring of model performance and maintenance and retraining as needed.
Validation and deployment
- Validation of the accuracy, generalizability and robustness of the model in different scenarios.
- Bias detection and management, data drift and conceptual drift.
- Collaboration with development teams to ensure high reliability and scalability in deployment.
- Compliance with ethical guidelines and regulatory requirements for AI systems in production environment.
Contact us
We will announce these positions soon, but you are welcome to contact us now with questions about the positions and your expression of interest.