Contract ML Engineer: Build & Deploy Models in Alta, Norway

RetailHub Sourcing

Alta

On-site

NOK 134,000 - 182,000

Part time

14 days+

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Job summary

RetailHub Sourcing in Alta, Norway is seeking a skilled Machine Learning Engineer to join on a contract basis. You will develop and deploy ML models, collaborate with cross-functional teams, and analyze data to drive business outcomes.

The role requires a bachelor’s or master’s in CS or statistics, 2+ years of ML experience, Python/R/Java, and familiarity with Scikit-Learn, TensorFlow or PyTorch, plus SQL/Spark/Hadoop. Salary is $1500 per month negotiable based on experience.

Qualifications

  • Bachelor’s or Master’s in CS or Statistics or related field.
  • Minimum 2 years experience as ML Engineer or similar role.
  • Strong programming skills in Python, R or Java; experience with ML libraries.

Responsibilities

  • Develop and implement ML models for regression, classification, clustering, and deep learning.
  • Collaborate with cross-functional teams to solve business problems with ML.
  • Preprocess and clean data from multiple sources to ensure data quality for training models.
  • Perform exploratory data analysis to uncover trends and patterns in data.
  • Train, validate, and optimize models using cross-validation.
  • Deploy models to production and monitor their performance over time.
  • Continuously research new ML techniques to improve results.

Skills

Python
R
Java

Education

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

Tools

Scikit-Learn
TensorFlow
PyTorch
SQL
Spark
Hadoop

Job description

RetailHub Sourcing in Alta, Norway is seeking a skilled Machine Learning Engineer to join on a contract basis. You will develop and deploy ML models, collaborate with cross-functional teams, and analyze data to drive business outcomes.

The role requires a bachelor’s or master’s in CS or statistics, 2+ years of ML experience, Python/R/Java, and familiarity with Scikit-Learn, TensorFlow or PyTorch, plus SQL/Spark/Hadoop. Salary is $1500 per month negotiable based on experience.

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