Data Scientist/ML Engineer

Hybrid Full TimeNorwaySopra Steria

We are looking for a Data Scientist/ML Engineer to join our team in Bergen. As a passionate tech enthusiast, you will have the opportunity to develop in a safe and inclusive team, with responsibility and trust in the role, and good support around you. You will contribute to varied tasks across industries and sectors, and be part of developing machine learning models and data-driven solutions.

Requirements

  • Higher education in IT, computer technology, machine learning, or related fields.
  • Minimum two years of relevant work experience with development and implementation of machine learning solutions.
  • Strong programming skills, especially in Python, as well as experience with frameworks such as TensorFlow, PyTorch, or similar.
  • Experience with ML-Ops tools (MLflow, KubeFlow) and production-ready ML solutions.
  • Experience with cloud platforms such as Azure Databricks, Microsoft Fabric, or AWS SageMaker.
  • Experience with data management, data modeling, and work with large datasets.

Benefits

  • Competitive terms
  • Flexible working conditions
  • Opportunity for continuous professional and personal development
  • Collaborative and inclusive work environment
  • Variety of projects and tasks
  • Meaningful work with some of Norway’s largest companies

To apply for this job please visit jobs.smartrecruiters.com.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!