Machine Learning Engineer

Location Cracow & Remote

Region / State / Province Kraków; Remote

Offer description

Join Ardigen as a Machine Learning Engineer and contribute to innovating drug discovery through AI and phenotypic screening. Our mission is to accelerate the development of lifesaving treatments. In this role, you will play a vital part in designing and enhancing Machine Learning systems that support optimal drug design efforts. This project follows a hybrid work model, with two days per week in the office (Kraków) and three days of remote flexibility.

Become a part of our team driving advancements in healthcare.

Let's grow together & code against cancer!

Key responsibilities

Designing, developing, and deploying Machine Learning systems on an on-premise infrastructure.
Translating Machine Learning research into production-ready solutions.
Implementing new features and optimizing existing ones.
Integrating our solutions into clients' pipelines.
Collaborating with a foreign client in an English-speaking environment (no late evening calls).
Writing unit and integration tests.
Creating and maintaining project documentation.
Performing code reviews.
Refactoring code for improved performance and readability.
Debugging and resolving issues.

Requirements

Proven experience of 3+ years applying Machine Learning in commercial projects.
A degree in Computer Science, Software Engineering, or a related field.
Strong programming skills in Python (mandatory).
An engineering mindset with a focus on problem-solving.
Experience applying software engineering best practices (e.g., code reviews, testing, SOLID principles).
Deep theoretical and practical understanding of Machine Learning concepts and processes (training, validation, evaluation, inference, cross-validation, metrics).
Strong written and verbal communication skills in English.
Experience in Bash and Git.

You will get bonus points for:

Experience with Big Data or large-scale Machine Learning processing pipelines.
Familiarity with MLOps environments.
Knowledge of KServe, Kubernetes, and Docker.
Proficiency in tools like NumPy, pandas, and PyTorch.
Experience with AWS cloud services.
Familiarity with Nextflow.
Skills in data visualization.
Expertise in Drug Discovery, Cheminformatics, Biomedical Imaging, or Phenotypic Screening data.
Experience working in a Scrum team.

We offer

Flexible working hours

Employee Stock Option Plan
Mental health support (HearMe Platform)
English classes
Funding for professional development, training, and internal mentoring program
The opportunity to not just code, but to code with a purpose to make a difference - making a meaningful impact through your daily work #CodeAgainstCancer
Private medical care
Multisport card