Machine Learning Engineer

KnowlegeBridge; Herning; Presencial; DKK 122.000 - 146.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Accommodation in Herning

Descripción de la vacante

KnowlegeBridge in Herning, Denmark is seeking a skilled Machine Learning Engineer to design, develop, and implement machine learning models addressing diverse business problems. You will collaborate with data scientists and software engineers to translate business needs into robust ML solutions.

The role requires 2+ years in ML engineering, strong Python/Java skills, and experience with TensorFlow or Keras. Familiarity with Pandas, NumPy, and Scikit-Learn is essential.

Formación

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• Minimum of 2 years of experience in machine learning engineering or related field.
• Strong programming skills in Python or Java.
• Experience with deep learning frameworks such as TensorFlow or Keras.
• Knowledge of statistical modeling techniques and their applications.
• Familiarity with Pandas, NumPy, Scikit-Learn for data manipulation and analysis.
• Ability to work independently as well as collaboratively in a team environment.

Responsabilidades

• Develop and implement machine learning models and algorithms for various business problems.
• Work closely with data scientists, software engineers, and other stakeholders to understand business requirements.
• Design experiments and perform data analysis to improve model performance.
• Build and maintain data pipelines for efficient data processing.
• Identify new use cases for machine learning solutions and propose new ideas.
• Monitor and evaluate model performance and make necessary improvements.

Conocimientos

Python

Java

TensorFlow/Keras

Pandas

NumPy

Scikit-Learn

Educación

Bachelor's or Master's in CS/Math

Herramientas

NLP experience

Descripción del empleo

Machine Learning Engineer vacancy in Herning Denmark

We are seeking a skilled Machine Learning Engineer to join our team in Herning, Denmark. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems. Your role will involve collaborating with cross-functional teams to understand business needs and develop innovative solutions using machine learning techniques.

Key Responsibilities

• Develop and implement machine learning models and algorithms for various business problems.
• Work closely with data scientists, software engineers, and other stakeholders to understand business requirements.
• Design experiments and perform data analysis to improve model performance.
• Build and maintain data pipelines for efficient data processing.
• Identify new use cases for machine learning solutions and propose new ideas.
• Monitor and evaluate model performance and make necessary improvements.

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• Minimum of 2 years of experience in machine learning engineering or related field.
• Strong programming skills in Python or Java.
• Experience with deep learning frameworks such as TensorFlow or Keras.
• Knowledge of statistical modeling techniques and their applications.
• Familiarity with tools such as Pandas, Numpy, Scikit-Learn for data manipulation and analysis.
• Ability to work independently as well as collaboratively in a team environment.

Preferred Qualifications

• Experience with natural language processing (NLP) techniques is a plus.
• Knowledge of cloud computing platforms such as AWS or Azure is desirable.
• Strong problem-solving skills and the ability to think creatively to come up with innovative solutions.

Salary: We are offering a competitive salary of 1800$ per month for this position. In addition, we also provide accommodation in Herning for our employees. However, please note that having your own visa is preferred but not mandatory.

Location: This position is based in Herning, Denmark. However, we welcome candidates of any nationality who are willing to relocate to Herning for this role.