Machine Learning Engineer

Are you an experienced machine learning engineer with a knack for developing, deploying, and maintaining machine learning models? 

Do you excel at collaborating with Data Scientists to improve model performance and scalability?

If you have a passion for making complex processes and systems work seamlessly to deliver value to the business, we want to hear from you. 

Tryg has launched its strategic goals for 2027, with ambitions goals for automation and customer satisfaction in claim handling. To support these goals, we are increasing the investment in data science. 

Key responsibilities: 

• Support Data Science Lead in navigating the technological landscape 
• Deploy, maintain and monitor machine learning models 
• Collaborate with Data Scientists to improve model performance and scalability 
• Implement and manage ML operations using our tech stack, including Python, uv, GitLab, Kubernetes, Docker and Prefect 
• Provide technical guidance to Data Scientists to supplement their skills 
• Ensure best practices from development to decommissioning of models 

As an experienced machine learning engineer you will take ownership of the way the team deploys, maintains and monitors models in close cooperation with data scientists and data engineers. You will be relied upon to bolster the Data Science Lead with evaluating and proposing technologies to enable or improve both real-time and batch machine learning tasks. Your contributions will shape how our claims department deploys and utilizes AI to solve business challenges.

Requirements: 

• M.Sc. in computer science, data science, machine learning or similar 
• Proven experience as a Machine Learning Engineer or similar role 
• Strong proficiency in Python 
• Hands-on experience with GitLab for code versioning 
• Expertise in containerization and orchestration using Kubernetes and Docker 
• Familiarity with Prefect for workflow orchestration 
• Ability to work collaboratively in a team environment 
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders 

Preferred Qualifications: 

• Knowledge of MLOps practices and tools 
• Experience in the insurance industry or a related field 
• Experience with cloud platforms such as AWS or Azure 
• Proficiency in SQL and data analysis. 
• Experience with deep learning frameworks such as TensorFlow or PyTorch 
• Strong innovation and collaboration skills 

Personal attributes: 

• Communication: You have excellent communication skills and can explain complex technical concepts in an understandable way to non-technical stakeholders 
• Collaboration: You thrive in a team environment and can collaborate effectively with colleagues across departments 
• Eager to Learn: You are curious and have a strong desire for continuous learning and development 
• Initiative: You are proactive and take the initiative to improve processes and systems 
• Adaptable: You are flexible and can quickly adapt to changes in technology and work methods 

About Us: 

We are a team consisting of 13 data engineers and data scientists, supporting all business units in Norway with AI/ML-models, streaming architecture applications and system integrations. We have close collaboration with similar teams in Denmark and Sweden. Our Data Science department is at the forefront of delivering value to the business units. 

Curious?

Reach out to Head of Data Science, Ole-Petter Moe-Hansen (phone: +47 995 32 480) if you have any specific questions. Apply as soon as possible and within February 16, 2025 at the latest. We will get in touch with you as soon as possible for interviews.