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As a Data Scientist, with focus on Computer Vision, you’ll be training AI models and evaluate if the model is learning and picking up the pattern it should. Your focus will initially be to retrain existing models when there is more data available to train on. Arkion has a steady flow of new images and new annotations on these images that can be curated and used for retraining jobs. But as soon as you are ready and know the data science team’s platforms, tools and the datasets, we will want you to develop new models and solve problems nobody has solved before. You will work on site in our Data Science team at our HQ in Stockholm, Sweden, using one of the largest datasets in the world within this industry. We are looking for someone who is passionate about data quality and understands that great training data beats endless parameter tuning. Arkion’s success is built on a strong focus on data quality and supervised learning, and we want you to share that mindset. You will also collaborate closely with our annotation team, whose work prepares the datasets. Your insights into which annotations are most valuable for improving model performance will help guide and prioritize their efforts.
Job Responsibility:
Evaluate models on test data and real world data
Retrain existing AI models
Train the first version of new AI models
Evaluate new AI frameworks and AI model architectures to reach higher performance
Monitor live model performance on real-world sensor data streaming into our platform for the models you trained
Mentor our annotation team, trimming our internal processes to ensure consistently high-quality annotations that have high signal to noise ratio
Debate improvements of precision and recall with colleagues and the customers’ data science teams
Research areas that Arkion need to cover to stay up to date with Computer Vision industry improvements
Requirements:
Problem solving skills for anything software
Degree in engineering
Machine learning education
Experience with Python and SQL
A sharp eye for details
Experience doing annotations for Computer Vision
Excellent written and spoken English
Nice to have:
Computer Vision experience
Knowledge of electrical grids
Experience working in fast-paced, international environments
What we offer:
Impact that matters: your work directly increases grid reliability and supports the energy transition
Real ownership: meaningful scope, visible outcomes, and room to grow as we scale
A strong and supportive team: collaborative, international colleagues with deep domain and technical expertise
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