We are excited to invite applications for the position of Project Engineer (Data Science and AI) within our SA-FLaaS project (Secure and Accurate Federated Learning as a Service).

As a Project Engineer, you will play a crucial role in advancing decentralized machine learning and contributing to cutting-edge solutions.

YOUR KEY RESPONSIBILITIES:
- Actively participate in the development of our state-of-the-art machine learning platform.
- Conduct foundational research and contribute to product development, continuously improving research, development, and innovation processes.
- Drive feature development, optimize algorithms, and enhance user experience using cutting-edge technologies.
- Collaborate with peers and stakeholders during design reviews to select the most suitable technologies.
- Review code from other engineers, providing constructive feedback to maintain best practices, coding standards, accuracy, testability, and efficiency.
- Contribute to existing documentation and educational content, adapting materials based on product updates and user feedback.

QUALIFICATIONS
- Education: Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Experience: A minimum of 2 years of software development experience using languages such as Python, Java, JavaScript, or C/C++. Candidates with 1 year of experience and an advanced degree are also encouraged to apply.
- Technical Skills: Proficiency in data structures and algorithms gained through academic or industry work.
- Communication: Fluent English communication and writing skills.

Preferred Qualifications:
- Research Skills: Strong background in deep learning, distributed/federated machine learning, and familiarity with frameworks like PyTorch or TensorFlow.
- Knowledge: Understanding of Differential Privacy and Federated Learning concepts.
- Frameworks: Experience with Federated Learning frameworks such as OpenFL, Flower, or TensorFlow Federated is advantageous.
- Algorithm Development: Proven ability to create new algorithms or system-algorithm co-design for federated or distributed training platforms.

WHAT DO WE OFFER?
- We work in a multidisciplinary expert community where knowledge and experiences are shared, fostering professional development and collaboration across diverse fields.
- With us, you’ll get an opportunity to develop and deepen skills towards the top of your field, with the freedom and flexibility to contribute to scientific research, educational curricula development, and innovative project activities.
- At Turku UAS, we enjoy comfortable working environments in the modern campus area in Kupittaa, Turku, providing an inspiring and conducive atmosphere for research and collaboration.

The position is subject to a 6-month trial period.

In this position, work must be carried out in Finland.

We value diversity in our work community, welcoming applicants from different backgrounds, including people of different ages, genders, languages, cultures, or minority groups.

Turku University of Applied Sciences, The Faculty of Engineering and Business, Kupittaa campus, Turku

Read more

http://www.tuas.fi