AI Software Engineer, Helsinki

About the role

As a core member of our client's engineering team, you will be responsible for the end-to-end lifecycle of machine learning components—from architectural design to production deployment. You will play a crucial role in expanding our client's capabilities and ensuring our existing solutions remain robust and reliable.

What We Offer

● Innovation: A chance to work at the forefront of medical AI technologies and make a real impact on patient care

● Culture: Join a supportive, enthusiastic, and multidisciplinary team of experts who are passionate about what they do

● Growth: Real opportunities for professional and career development in one of the fastest-growing sectors of health tech

Work tasks

Your key tasks will include:

● Architecture & Design: Design scalable and robust software architectures to develop and enhance the core AI engines that power our client's AI model development

● Software Implementation: Develop, write, and optimize production-level code to bring innovative ML features to life

● Quality Assurance: Ensure the highest standards of code quality and model reliability by creating comprehensive software test instructions, unit tests, and validation protocols

● Technical Documentation: Write and maintain clear, accurate technical documentation to support development, regulatory compliance, and cross-team collaboration

● Product Maintenance: Monitor, troubleshoot, and maintain existing machine learning products to ensure seamless performance for our end-users in clinical and research settings

We are looking for

The ideal candidate is an experienced technical problem-solver who bridges the gap between complex machine learning theory and practical, scalable software engineering. You write clean code, understand the intricacies of deploying ML models in production, and thrive in a collaborative, mission-driven environment.

Requirements:

● Educational Background: MSc or PhD in Engineering, Computer Science, Data Science, or a closely related highly quantitative field

● Experience: 2-3+ years of relevant industry experience in software engineering and machine learning development

● Technical Skills: Strong programming skills and hands-on experience developing and deploying machine learning models in production environments

● Communication: Excellent teamwork and communication skills. Fluency in written and spoken English is a must

It is meritorious if you have:

● In-depth knowledge of the latest advancements in image analysis methodology, along with the ability to continuously stay up to date, identify relevant research, and adapt it for integration into our client's AI engines

● Fluency in Finnish

● Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision

● Previous experience working with medical devices, healthcare data, or within regulated environments (e.g., ISO 13485, FDA)

● Experience with cloud computing platforms and MLOps practices

Our recruitment process

This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work.

Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.