Machine Learning Engineer | Visa Sponsorship & Relocation

VivaVibe Productions; Vejle; On-site; DKK 122,000 - 146,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation assistance

Contract with extension potential

Job summary

VivaVibe Productions in Vejle, Denmark, invites applications for a Machine Learning Engineer to develop and deploy ML models. You will collaborate with data scientists and software engineers to gather data, train models, and push solutions to production.

The role emphasizes experimentation, evaluation, and continuous learning. The ideal candidate holds a degree in CS/Math, has strong ML fundamentals, and is proficient in Python or R with experience in TensorFlow/Keras and SQL.

Qualifications

• Bachelor's or Master's in Computer Science, Mathematics, or related field.
• Strong ML concepts including regression, classification, clustering.
• Proficient in Python or R.
• Experience with ML libraries such as scikit-learn, TensorFlow, Keras.
• Experience handling large datasets with SQL or similar technologies.
• Knowledge of data visualization tools like Tableau or Power BI is a plus.

Responsibilities

• Develop and implement machine learning algorithms and models.
• Gather and analyze large datasets to identify patterns and trends.
• Collaborate with cross-functional teams to define project goals and deliverables.
• Train models using supervised, unsupervised, deep learning techniques.
• Evaluate model performance and implement improvements.
• Deploy trained models into production systems.
• Continuously research new ML methods and technologies.

Skills

ML concepts

Python

R

SQL

Deep learning

TensorFlow

Keras

Education

Bachelor's or Master's degree

Tools

scikit-learn

TensorFlow

Keras

SQL

Job description

VivaVibe Productions in Vejle, Denmark, invites applications for a Machine Learning Engineer to develop and deploy ML models. You will collaborate with data scientists and software engineers to gather data, train models, and push solutions to production.

The role emphasizes experimentation, evaluation, and continuous learning. The ideal candidate holds a degree in CS/Math, has strong ML fundamentals, and is proficient in Python or R with experience in TensorFlow/Keras and SQL.