Data Scientist – 9633

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description:
We are looking for a Senior Data Scientist to join our dynamic team.
What You Will Work On:
Lead the development and design of AI systems, focusing on deep learning models.
Select appropriate algorithms and model architectures for various projects.
Develop strategies for model training, production adaptation, and management.
Independently conduct code development, model training, and exploratory data analysis.
Perform investigative work related to data science and deep learning.
Develop Python-based solutions in a Linux environment.
Use Jupyter Notebooks for early testing and exploratory analysis.
Engage in structured Python programming using Visual Studio Code.
Build Azure pipelines and manage packages with Hatch.
Ensure code quality through unit tests, linting, type checking, and adherence to PEP8 standards.
Utilize frameworks such as Pytorch and Openmmlab for deep learning and computer vision projects.
Develop models for applications such as YOLOv8 object identification.
Operate within the Swedish Transport Administration’s internal container platform (OpenShift) with object storage in ECS S3.
Work in agile teams of 3-6 members using Azure DevOps, participating in daily stand-ups and three-week sprints.

What You Bring:
At least 8 years of documented experience in Python development.
A minimum of 5 years of documented experience in developing deep learning AI models.
At least 3 years of documented experience in computer vision.
At least 3 years of documented experience working in a Linux environment.
Proficiency in Swedish.
Strong experience in developing structured, object-oriented Python code (e.g., classes, data classes, unit tests, PEP8 compliance).
Experience working with MLops is a significant advantage.
Ability to work effectively in agile teams and adhere to project timelines and sprint schedules.
Strong problem-solving skills and the ability to work independently on complex tasks.
Fluent in English and Swedish.