About eSmart Systems

Norwegian company eSmart Systems was among one of the first in the world to develop an Artificial Intelligence based solution, Grid Vision^®, for the inspection and maintenance of critical energy infrastructure.

Today eSmart Systems is a leading provider of AI-powered solutions for the inspection and maintenance of the grid, contributing to the green transition and a digital future. With the Grid Vision^® portfolio, the company provides Inspection Management and Asset Information Management solutions and services to utilities globally, including several of the largest energy companies such as Naturgy, Xcel Energy and E.ON.

In the recently completed Series B share issue, the current investors – Equinor Ventures, Kongsberg Group, Nysnø Climate Investments, Energy Impact Partners, and Future Energy Ventures – together with the U.S.-based investment fund manager, Arosa Capital, have raised ~€40 million. The capital will be used to accelerate the company’s commercial development and international growth.

For more information about the company please visit www.esmartsystems.com

eSmart Systems can offer:

• Flexibility
• Professional development in a hectic fast-paced environment
• A flat and dynamic organization with ambitions and short communication lines
• Competitive compensation and benefits
• Employee stock option program
• Offices located in Halden

We are seeking an experienced Full-Stack Data Scientist with expertise in MLops, model deployment on GCP, and building image classification and object detection models. In this role, you will be responsible for building and deploying end-to-end machine learning solutions, from data preparation to model development to deployment on Google Cloud Platform.

The Role:

• Build and maintain end-to-end machine learning solutions, including data preparation, model development, and deployment on Google Cloud Platform (GCP)
• Collaborate with cross-functional teams to identify and prioritize business problems that can be solved using machine learning
• Design, build, and deploy image classification and object detection models using state-of-the-art algorithms and techniques
• Implement and maintain MLops processes, including automated model training, testing, and deployment
• Develop and maintain software applications to support machine learning workflows, including data pipelines, model training, and monitoring
• Evaluate and optimize machine learning models for accuracy, performance, and scalability
• Communicate results and findings to stakeholders in clear and concise language

Preferred qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, or a related field
• 3+ years of experience in data science, with a focus on machine learning and deep learning
• Hands-on experience with MLops processes, including automated model training, testing, and deployment
• Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow or PyTorch
• Experience with building and deploying image classification and object detection models
• Familiarity with Google Cloud Platform, including experience with Cloud Storage, Cloud SQL, and Cloud Functions
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
• Excellent communication skills and ability to present complex technical concepts to non-technical stakeholders.

This is a full-time position with competitive compensation and benefits. If you're passionate about using machine learning to solve complex business problems and have experience with MLops, model deployment on GCP, and building image classification and object detection models, we encourage you to apply.