Machine Learning Engineer

at  Siili Solutions

MAKE YOUR STORY REAL

Siili is at the forefront of AI-powered development. Here, you will collaborate with AI-assisted developers and designers on projects that go beyond proof-of-concept, delivering real-world impact and innovation.
Our own AI transformation uniquely positions us as the ideal partner to guide our clients through their AI journeys. We are currently supporting leading organizations like Microsoft and Yle in their AI transformations.
AI represents the next industrial revolution, and Siili is ready to lead the charge in digital development, making the most of the transformative power of AI.

SHALL WE GET TO KNOW EACH OTHER BETTER?

At Siili, we don’t have interviews, we have meetings. With two meetings, we ensure together that both our goals and expectations are aligned, laying the foundation for a great future together.
We hope to receive applications from individuals with various backgrounds, including different ages, genders, and cultural or minority groups. Please let us know if we can adjust our meeting according to your needs. We aim to consider individual needs and neurodiversity in our recruitment process, and to make meetings as comfortable as possible for everyone.

• At least one year (preferably 2+) of experience working as a cloud developer, data engineer, ML engineer or data scientist in a product company or as a consultant
• Strong knowledge of data science and machine learning concepts
• Good Python skills and knowledge of Python machine learning libraries, like: Scikit-learn, TensorFlow, Keras, PyTorch, Pandas
• Experience of cloud-based development (AWS, Google Cloud or Azure)
• SQL skills
• Knowledge of development tools like Git, Docker, and VS Code
• Fluent Finnish skills

Additionally, it is beneficial if you have:

• Experience in deploying machine learning systems into production
• Experience with A/B testing
• Experience with databases, data warehouses, and ETL/ELT processes
• Knowledge of Spark, Databricks

• Familiarity with DevOps, MLOps, CI/CDKnowledge of Generative AI tools