Part-Time ML Engineer in Svalbard - Accommodation

MapleGroves; Svalbard; Presencial; NOK 97.000 - 116.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Accommodation in Svalbard

Descripción de la vacante

MapleGroves in Svalbard, Norway, is seeking a part-time Machine Learning Engineer to develop and implement ML algorithms for large datasets. You will collaborate with data scientists and software engineers to enhance MapleGroves' products and services while balancing a flexible schedule.

The role focuses on building models, evaluating techniques, and integrating ML solutions, with accommodation provided in Svalbard. A strong background in Python, ML frameworks, and big data tools is required.

Formación

• Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.
• Proven experience working with machine learning techniques such as regression, classification, clustering, etc.
• Proficient in programming languages such as Python or R; experience with TensorFlow or PyTorch; familiarity with big data frameworks like Hadoop or Spark.

Responsabilidades

• Develop machine learning models and algorithms to analyze and interpret large datasets.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into our products.
• Research and implement new techniques in the field of machine learning.
• Continuously improve existing algorithms for better performance and accuracy.
• Communicate project progress, results, and insights to various stakeholders.

Conocimientos

Regression

Classification

Clustering

Educación

Bachelor's or Master's in CS/ML

Herramientas

TensorFlow

PyTorch

Hadoop

Spark

Descripción del empleo

MapleGroves in Svalbard, Norway, is seeking a part-time Machine Learning Engineer to develop and implement ML algorithms for large datasets. You will collaborate with data scientists and software engineers to enhance MapleGroves' products and services while balancing a flexible schedule.

The role focuses on building models, evaluating techniques, and integrating ML solutions, with accommodation provided in Svalbard. A strong background in Python, ML frameworks, and big data tools is required.