Machine Learning Engineer

BrightConnect; Esbjerg; On-site; DKK 104,494 - 125,164; Full time

Job summary

BrightConnect is hiring a Machine Learning Engineer in Esbjerg. You will develop cutting-edge ML algorithms and work with data science and engineering teams to deploy scalable solutions.

The ideal candidate has a strong background in data science, programming, and mathematics, and experience with frameworks like TensorFlow or PyTorch is preferred. This is a full-time role with a salary of $1600 per month, and freshers are welcome to apply as on-the-job training is provided.

Qualifications

• Strong background in data science, programming, and mathematics.
• Previous experience with machine learning frameworks such as TensorFlow or PyTorch is preferred.

Responsibilities

• Develop and implement machine learning algorithms and models.
• Work closely with data science and engineering teams.
• Conduct research and prototype new ideas.

Skills

Data science

Programming

Mathematics

Machine learning frameworks (TensorFlow, PyTorch)

Job description

We are hiring a Machine Learning Engineer to join our team in Esbjerg.

Responsibilities

As a Machine Learning Engineer you will be responsible for developing and implementing cutting‑edge machine learning algorithms and models. Your role will involve working closely with our data science and engineering teams to design, build and deploy scalable ML solutions. You will also conduct research, prototype new ideas and stay up‑to‑date with the latest developments in the field.

Qualifications

The ideal candidate should have a strong background in data science, programming and mathematics. Previous experience with machine learning frameworks such as TensorFlow or PyTorch is preferred.

This is a full‑time position with a salary of $1600 per month. Freshers are welcome to apply, as we provide on‑the‑job training.

Please note that this position does not include accommodation.

If you have a passion for machine learning and want to work on exciting projects in Esbjerg, we would love to hear from you.