Saab Sensor Technology Center is part of Business Area Surveillance. Our R&D teams are developing extremely complex and innovative electronic warfare systems, motivated by a clear target: to keep people and society safe. As an example of a brilliant product that we are developing in Finland, check this out!
The role
As a Data Scientist, you design, develop and evaluate AI-based signal processing solutions. You will collaborate with a team consisting of signal processing experts, data engineers and data scientists working within a multidisciplinary research and development organization developing electronic surveillance and monitoring products. You collaborate with colleagues working both in Finland and internationally within different Saab sites.
Key responsibilities
You design, develop and evaluate AI-based signal processing solutions running in the edge on a fielded sensor system. You evaluate performance of commercial solutions offered in the electronic warfare domain and follow up the leading edge of development in this field. You contribute to ramping up a world-class way of working for developing AI solutions in the electronic warfare domain. You contribute to experiment design in order to ensure high quality data for model training.
Required skills:
- You hold an MSc in artificial intelligence, machine learning, computer science, or related field with extensive experience in implementing and evaluating advanced AI-based systems
- You have excellent communication skills in English and the ability to evaluate and present applied research findings effectively
- You have solid software engineering skills, including writing and documenting clear and well-structured code in Python, utilizing deep learning frameworks such as Pytorch, and utilizing best practices for version control and software quality control
Nice to have:
- You hold a PhD in signal processing, artificial intelligence, machine learning, computer science, or related field and have authored publications in to-tier journals and conferences (e.g. ICASSP, IEEE J-STSP, IEEE TSP, IEEE SPM, NeurIPS, ICLR, ICML, and similar)
- Experience on working with radio frequency data
- Experience in end-to-end MLOps as part of product delivery
- Experience on deploying AI methods on edge devices with limited compute resources
- Experience in working in a fast-paced product development environment
- Native Finnish skills
What you will be a part of
You work in Saab Sensor Technology Center, a product development organization that brings together expertise across all engineering disciplines, from radio engineering and hardware design to software development and cutting-edge AI. With a track record of innovation and excellence, we pride ourselves on operating at a level that rivals the best teams globally.
Our unit offers a wide range of interesting opportunities to grow and challenge yourself within the exciting field of Electronic Warfare. In addition to interesting projects and learning by doing, Saab offers various trainings and learning paths to help you build your competence and career.
The position is located either in downtown Tampere or downtown Helsinki, depending on the preference of the applicant. Tampere is highly preferred.
On top of joining a team of highly talented professionals and fun people, we offer you a good benefit package, including full lunch benefit, exercise & culture benefit, transport related options, and many more. We also value a good work-life balance and offer our employees flexible working hours.
In this job, some of your tasks have a connection to defense secrecy. Therefore, a drug test and approved security clearance in accordance with the Finnish Security Clearance act 726/2014 is required for the selected applicant.
Interested?
Take your chance to build your future career at Saab by submitting your CV and application via Saab Careers already now! We encourage you to apply even if you don’t meet all the listed qualifications.
Kindly observe that this is an ongoing recruitment process and that the position might be filled before the closing date of the advertisement.