Computer Vision Data Scientist Stockholm, Sweden

Arkion; Stockholms kommun; On-site; SEK 491,695 - 764,859; Full time

Benefits offered by this job

Collaborative international team

Impactful work in energy transition

Room to grow as the company scales

Job summary

A data-driven technology firm is seeking a Data Scientist focusing on Computer Vision to train and evaluate AI models using one of the largest datasets in the industry. You will work on-site in Stockholm, Sweden, collaborating closely with the annotation team and ensuring high-quality data for model training and performance. The ideal candidate will have experience in Python, SQL, and Machine Learning, alongside a passion for data quality. This full-time position offers meaningful ownership and impact in the energy transition.

Qualifications

• Passionate about data quality and supervised learning.
• Ability to mentor annotation teams and improve annotation quality.

Responsibilities

• Evaluate models on test data and real-world data.
• Train new AI models and evaluate frameworks for higher performance.
• Monitor live model performance on real-world sensor data.
• Debate improvements of precision and recall with teams.
• Research industry improvements in Computer Vision.

Skills

Problem solving skills

Experience with Python

Experience with SQL

Experience doing annotations for Computer Vision

Excellent written and spoken English

Education

Machine learning education

Job description

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.

RoleDescription

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.

What you’ll do

• Evaluate models on test data and real world data
• 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.

About You

• Problem solving skills for anything software
• Machine learning education
• Experience with Python and SQL
• Experience doing annotations for Computer Vision
• Excellent written and spoken English.

Nice to have:

• Knowledge of electrical grids
• Experience working in fast-paced, international environments.

Why Arkion

• 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.

Practicalities

• Full-time position based in Stockholm, Sweden.
• Limited travel may be required.
• EU work authorization required (visa sponsorship not available at this time).

How to apply: Email your CV to [e-mail] with the subject line Computer Vision Data Scientist. A brief note on your motivation for applying is appreciated.