Machine Learning Engineer

VivaVibe Productions; Vejle; On-site; DKK 111,965 - 151,483; Full time

Benefits offered by this job

Competitive salary

Contract with extension potential

Visa sponsorship for non-EU applicants

Relocation travel support

Job summary

VivaVibe Productions in Vejle is seeking a skilled Machine Learning Engineer to develop and deploy ML models that enhance our products and services. You will work with data scientists and software engineers to gather data, train models, and bring them into production.

The role requires strong ML knowledge, Python or R proficiency, and experience with libraries such as scikit-learn, TensorFlow or Keras. You will handle large datasets and contribute to cross-functional projects.

Qualifications

• Degree in CS/Math or related field.

Responsibilities

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

Skills

ML concepts

Python

R

TensorFlow

Keras

scikit-learn

SQL

Data visualization

Education

Bachelor's or Master's degree in Computer Science or Mathematics

Tools

scikit-learn

TensorFlow

Keras

SQL

Job description

We are seeking a passionate and driven Machine Learning Engineer to join our team in Vejle In this role you will be responsible for developing and implementing machine learning algorithms and models to improve our companys products and services As a Machine Learning Engineer you will work closely with data scientists and software engineers to gather and analyze data build and train models and deploy them into production

Key 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 requirements and deliverables
• Train machine learning models using various techniques such as supervised learning unsupervised learning deep learning etc
• Evaluate the performance of models and make necessary improvements
• Deploy trained models into production systems
• Continuously research new methods and technologies in the field of machine learning

Requirements

• Bachelors or Masters degree in Computer Science Mathematics or a related field
• Strong understanding of machine learning concepts such as regression classification clustering etc
• Proficient in programming languages such as Python or R
• Experience with machine learning librariesframeworks such as scikit-learn TensorFlow Keras etc
• Experience working with large datasets using SQL or other database technologies
• Knowledge of data visualization tools such as Tableau or Power BI is a plus
• Ability to work independently as well as in a team environment

We offer

• Competitive salary of 1800$ per month
• Contract job with potential for extension based on performance
• Free visa sponsorship for non-EU applicants
• Travel ticket assistance for relocation if needed

Note This job is open to all genders