Machine Learning Engineer - Flexible Hours, Housing Provided

AlphaGlobal; Norway; On-site; NOK 162,000 - 195,000; Full time

Benefits offered by this job

Accommodation provided

Job summary

AlphaGlobal is seeking a Machine Learning Engineer to design, develop and deploy ML models that drive data-driven decisions across our US-based tech teams. You will build predictive systems, run experiments, and collaborate with engineers and analysts to translate business problems into scalable solutions.

Ideal candidates have 3+ years in ML/datascience, strong Python or R, and experience with SQL, Hadoop or Spark. Familiarity with TensorFlow or PyTorch and cloud deployment is a plus.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on machine learning.
• Minimum of 3 years of experience as a Machine Learning Engineer, Data Scientist, or similar role.
• Strong knowledge of machine learning algorithms such as regression, clustering, decision trees, etc.

Responsibilities

• Develop and implement machine learning models and algorithms for data analysis, prediction, and optimization.
• Conduct research on new techniques and technologies in the field of machine learning to improve existing models.
• Collaborate with cross-functional teams to identify business problems and develop solutions using machine learning techniques.
• Analyze large datasets to identify patterns and trends that will inform decision making.
• Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

Skills

Python

R

SQL

Hadoop

Spark

TensorFlow

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field with focus on ML

Tools

TensorFlow

PyTorch

scikit-learn

Job description

AlphaGlobal is seeking a Machine Learning Engineer to design, develop and deploy ML models that drive data-driven decisions across our US-based tech teams. You will build predictive systems, run experiments, and collaborate with engineers and analysts to translate business problems into scalable solutions.

Ideal candidates have 3+ years in ML/datascience, strong Python or R, and experience with SQL, Hadoop or Spark. Familiarity with TensorFlow or PyTorch and cloud deployment is a plus.