Part-Time Machine Learning Engineer – Data Insights (Randers)

PrimeGlobal; Randers; Presencial; DKK 102.000 - 122.000; A tiempo parcial

Descripción de la vacante

PrimeGlobal in Randers, Denmark, seeks a part-time Machine Learning Engineer to develop and implement ML models that enhance our products and services. The role offers flexible, part-time hours and opportunities to drive data-driven improvements.

The ideal candidate holds a Bachelor's or Master’s in a related field with at least 2 years of ML experience, proficiency in Python/R/Java, and exposure to Hadoop or Spark. Strong problem-solving and teamwork are essential.

Formación

• Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
• At least 2 years of experience as a Machine Learning Engineer.
• Proficiency in ML techniques including neural networks, decision trees, and clustering.
• Programming skills in Python, R, or Java.
• Experience with big data tools like Hadoop or Spark.
• Strong problem-solving and analytical abilities.
• Ability to work independently and in a team.

Responsabilidades

• Develop and implement machine learning algorithms and models.
• Collaborate with cross-functional teams to identify opportunities for applying ML techniques.
• Analyze large datasets to extract valuable insights.
• Stay up-to-date with the latest advancements in machine learning techniques.
• Communicate complex ideas and findings to non-technical stakeholders.

Conocimientos

Machine Learning

Neural Networks

Decision Trees

Clustering Algorithms

Python

R

Java

Big Data

Analytical Thinking

Problem Solving

Teamwork

Independent Work

Educación

Bachelor's or Master's degree in Computer Science, Mathematics, or related field

Herramientas

Python

R

Java

Hadoop

Spark

Descripción del empleo

PrimeGlobal in Randers, Denmark, seeks a part-time Machine Learning Engineer to develop and implement ML models that enhance our products and services. The role offers flexible, part-time hours and opportunities to drive data-driven improvements.

The ideal candidate holds a Bachelor's or Master’s in a related field with at least 2 years of ML experience, proficiency in Python/R/Java, and exposure to Hadoop or Spark. Strong problem-solving and teamwork are essential.