Machine Learning Engineer: Build & Deploy AI Solutions

Nexavision Inc.; Randers Kommune; On-site; DKK 67,000 - 81,000; Full time

Benefits offered by this job

Accommodation can be arranged

Job summary

Nexavision Inc. in Randers, Denmark, is hiring a Machine Learning Engineer. You will develop, test, and deploy ML models to solve business problems in a full-time role. Collaboration with cross-functional teams and hands-on data processing are key aspects of the job.

You should hold a Bachelor’s or Master’s in CS/DS, be proficient in Python or R, and have experience with TensorFlow/PyTorch/Keras. AWS/Azure and big data tools are preferred. Accommodation for out-of-town candidates is possible.

Qualifications

• Bachelor's or Master's degree in CS/DS or related field.
• Strong understanding of ML techniques such as regression, clustering, classification, neural networks.
• Experience with Python or R for developing ML models.
• Familiar with ML libraries TensorFlow, PyTorch or Keras.

Responsibilities

• Collaborate with cross-functional teams to identify business problems solvable by ML.
• Design, develop and deploy ML models in production environments.
• Conduct data analysis and pre-processing to ensure high-quality training data.
• Monitor and evaluate model performance and implement improvements.
• Stay updated with ML advancements and apply them to projects.
• Communicate complex ML concepts effectively to stakeholders.

Skills

Python

R

Machine Learning

Regressions

Classification

Neural networks

Cross-functional teamwork

Education

Bachelor's or Master's in Computer Science/Data Science

Tools

TensorFlow

PyTorch

Keras

AWS

Azure

Hadoop

Spark

Job description

Nexavision Inc. in Randers, Denmark, is hiring a Machine Learning Engineer. You will develop, test, and deploy ML models to solve business problems in a full-time role. Collaboration with cross-functional teams and hands-on data processing are key aspects of the job.

You should hold a Bachelor’s or Master’s in CS/DS, be proficient in Python or R, and have experience with TensorFlow/PyTorch/Keras. AWS/Azure and big data tools are preferred. Accommodation for out-of-town candidates is possible.