Data Scientist - Machine Learning Engineer

Location: Wrocław - In-office work one day a week.

Start: March-April 2025.

Responsibilites:

* Data analysis: Collect, clean, and analyze large datasets to identify patterns and trends

* Modeling: Develop predictive models and algorithms to solve complex business problems, whose solutions could stem from a variety of ML fields

* Communication: Communicate findings and insights to stakeholders in a clear and concise manner, gather requirements on further adoptions and future work.

* Converting data into insights

Requirements:

* Minimum 2 years hands-on industry experience with ML, AI, MLOps or data science projects.

* Master’s degree in a quantitative field (e.g. computer science, mathematics, physics, engineering, bioinformatics); PhD optional.

* Expert and up-to-date knowledge of supervised and unsupervised machine learning techniques.

* Fluent in Python and in using common machine learning libraries (e.g., sklearn, pytorch/keras/tensorflow/opencv, etc.). 

* Familiar with MLOps frameworks, machine learning model deployment formats as well as cloud based ML pipelines.

* Familiar with agile software development and knowledge of professional software development practices, tools for source control and project management especially Git and Azure DevOps.

What we offer:

* Deep understanding of the domain knowledge in the field of molecular biology and biotechnology.

* Exposure and hands on experience in the development of modern cloud data solutions.

* Ability to deliver AI and ML solutions at scale.

* Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains.