About this role
Founded in 1999 in Vienna, the Qualysoft Group is a manufacturer-independent IT consulting and services company, which successfully provides support for its international customers with the aim of boosting their competitiveness and economic efficiency through innovative IT solutions.
Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Over 400 employees in 6 subsidiaries work together to ensure state of the art solutions for our clients.
We are looking for new colleagues in Qualysoft teams for diverse projects providing continuous learning opportunities. Our common goal is to provide honesty, development and a stable background while getting to know the latest technologies. We are waiting for your application for the position below!
With us you count as a person, our doors are always open.We live the Qualysoft Team Spirit and stand for transparency!
Fresh wind and new ideas are welcome, because standstill is a foreign word at Qualysoft.
Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Over 400 employees in 6 subsidiaries work together to ensure state of the art solutions for our clients.
We are looking for new colleagues in Qualysoft teams for diverse projects providing continuous learning opportunities. Our common goal is to provide honesty, development and a stable background while getting to know the latest technologies. We are waiting for your application for the position below!
Responsibilities
- Collect, clean, and prepare data from SQL and NoSQL sources (Oracle, Impala; BigQuery/MongoDB preferred)
- Design, implement, and optimize machine learning models, with a strong focus on gradient boosting techniques (XGBoost, CatBoost)
- Manage end-to-end ML workflows, including data preprocessing, model training, inference, and prediction
- Analyze and visualize data to support business decisions using Power BI or Looker
- Deploy, monitor, and maintain ML models and data pipelines on cloud platforms (AWS, Azure, GCP)
- Ensure reproducibility and scalability using Git and CI/CD pipelines
- Work in an Agile environment, take ownership of tasks, and solve problems independently
Requirements
- Advanced proficiency in Python and Jupyter Notebook
- Strong experience with SQL and NoSQL databases (Oracle, Impala; BigQuery/MongoDB is a plus)
- Solid knowledge of machine learning algorithms, especially gradient boosting (XGBoost, CatBoost)
- Hands-on experience with end-to-end ML workflows (data ingestion, preprocessing, training, inference, prediction)
- Experience with data visualization tools (Power BI, Looker)
- Practical experience with cloud platforms (AWS, Azure, GCP)
- Knowledge of version control systems (Git) and CI/CD pipelines
- Strong analytical skills with the ability to interpret complex datasets
- Familiarity with Agile methodologies
- End-to-end ownership mindset and strong independent problem-solving skills
Advantages
- Experience with PySpark
- Knowledge of recommendation system development
- Familiarity with Apache Airflow
- Experience using Jira
- Background in the telecommunications or SME sector
With us you count as a person, our doors are always open.We live the Qualysoft Team Spirit and stand for transparency!
Fresh wind and new ideas are welcome, because standstill is a foreign word at Qualysoft.