Machine Learning Engineer

2 dni temu


Warszawa, mazowieckie, Polska Ardigen S.A. Pełny etat

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


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