Machine Learning Engineer

Offer descriptionJoin 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