Machine Learning Engineer
Are you passionate about pushing the boundaries of AI in healthcare?
If you're a skilled Machine Learning Engineer with a deep understanding of digital health applications, we're looking for you! At Trifork, we're dedicated to develop cutting-edge solutions that improve healthcare services.
As a Machine Learning Engineer, you'll:
Design, develop, and deploy high-performing ML models for a variety of digital health applications. From simple image-classifiers to generative AI services.
Collaborate with cross-functional teams to understand complex healthcare challenges and translate them into actionable ML solutions.
Ensure the ethical and responsible development of AI models, adhering to industry standards and regulations.
Stay up-to-date with the latest advancements in ML and apply them to your work.
Join Trifork and be part of a team that's making a difference in the world of digital health.
You have a technical educational background or scientific educational background.
You are a team player who values integrity and honesty.
You love to collaborate closely with development teams to ensure compliance with regulatory guidelines.
You have a strong foundation in machine learning algorithms and techniques.
You have experience with popular ML frameworks like TensorFlow, PyTorch, or Keras.
You have delivered ML solutions to production in the past.
You know how to preprocess data, do feature engineering, reduce bias, or evaluate a model.
You have a passion for applying AI to solve real-world healthcare problems.
You are committed to ethical AI development.
Our daily work is characterised by an open and honest atmosphere, and we put emphasis on creating a challenging yet fun working environment. We work in agile and cross-functional teams with a focus on helping each other. We work in close collaboration with customers and make sure we understand their environment and issues.
We offer development and learning opportunities both within projects as well as in internal tech meetings, Trifork Hackerdays, annual team building trip and team events thoughout the year, conference attendance etc. In addition you'll get:
An open and informal environment
Opportunities for initiatives
All-you-can-eat lunch
Fresh-made Italian coffee
Office overlooking the harbour and easy access to public bus and train transportation (e.g. Aarhus Letbane)
MacBook Pro or high-end Dell laptop (OS of choice) and smartphone (of own choice)
We're seeking a dedicated individual to join our team in Denmark. While we offer flexible work arrangements, we prioritize in-person collaboration and require candidates to be physically located in Denmark.
Join us in our cozy, "hyggelig" office where we enjoy friendly banter, games of ping-pong and foosball, and casual coffee breaks.
Please note that we do not provide relocation assistance or visa sponsorship.
Do you want to join our team as our new Machine Learning Engineer? Then we'd love to hear about you!