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Machine Learning Engineer

2 months ago


Copenhagen, Copenhagen, Denmark Schibsted Danmark Full time

Job Title: Senior ML Engineer

Company: Schibsted Media

Schibsted Media is a leading media group in the Nordics, with a strong focus on innovation and data-driven decision making. Our data and AI organisation is responsible for developing and maintaining machine learning models that empower our business to make data-driven decisions.

We are looking for an experienced Senior ML Engineer to join our team. As a Senior ML Engineer, you will be responsible for designing, building, training, and evaluating machine learning models to solve real-world problems. You will work closely with our data science and engineering teams to develop and deploy machine learning solutions that meet our business needs.

Key Responsibilities:

  • Design, build, train, and evaluate machine learning models to solve real-world problems
  • Collaborate with data science and engineering teams to develop and deploy machine learning solutions
  • Engage with internal stakeholders to better understand their needs and provide guidance on machine learning matters
  • Provide technical leadership and mentorship to junior team members

Requirements:

  • Master's degree in Computer Science, Software Engineering, Applied Mathematics, or a quantitative field
  • 3+ years of experience in the data science domain with a deep understanding of AI and machine learning methods and algorithms
  • Excellent communication skills with the ability to communicate complex concepts in a simple way
  • Strong programming skills in Python with experience working with Pandas, Transformers, and TensorFlow/Keras or PyTorch
  • Experience working with big data technologies such as Spark and Databricks
  • Experience working with cloud providers such as AWS

Why Join Us?

Schibsted Media offers a dynamic and collaborative work environment with a focus on innovation and data-driven decision making. We encourage a diverse and inclusive workplace and offer opportunities for professional growth and development. If you are passionate about machine learning and data science, we would love to hear from you