Machine Learning Engineer vacancy in Aarhus Denmark

Machine Learning Engineer


We are seeking a highly skilled Machine Learning Engineer to join our dynamic team in Aarhus. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems. You will work closely with data scientists and software engineers to build and deploy scalable machine learning solutions.

Responsibilities:
- Design and develop machine learning models and algorithms to solve business problems
- Collect, clean, and preprocess data for training and testing
- Collaborate with data scientists to understand business requirements and translate them into technical solutions
- Work with software engineers to integrate machine learning models into production systems
- Monitor performance of deployed models and make necessary adjustments for optimization
- Stay updated with latest developments in the field of machine learning and implement best practices

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science or related field
- Minimum 2 years of experience as a Machine Learning Engineer or related role
- Strong programming skills in languages such as Python, Java, or C++
- Experience with popular machine learning libraries such as TensorFlow, Keras, or PyTorch
- Knowledge of various machine learning techniques such as supervised/unsupervised learning, deep learning, etc.
- Familiarity with data processing tools like SQL, Hadoop or Spark
- Excellent problem-solving skills and ability to think creatively
- Ability to work independently and in a team environment
- Strong communication skills

Salary: $1000 per month

Location: Aarhus (accommodation not provided)

Visa: Free visa and ticket will be provided for non-nationals

This is an excellent opportunity for freshers who are passionate about machine learning. Join us now if you have the required skills and are looking for an exciting career in the field of Machine Learning!