Machine Learning Engineer

2 tygodni temu


Kraków, Lesser Poland Ardigen S.A. Pełny etat

Ardigen enables AI transformation for biotech and pharmaceutical companies to leverage the full potential of data. The company delivers value at the intersection of biology and computational methods to increase the likelihood of success and accelerate the drug discovery process. With our platforms based on advanced algorithms and state-of-the-art technology, we help researchers get scientific insights from a large amount of data, leading to discoveries and breakthroughs in fields such as personalized medicine and drug development.

Let's grow together and code against cancer

At Ardigen, you will help in the development of Machine Learning systems for computer-aided drug design. The mission of our team is to increase the efficiency of the process of drug discovery through phenotypic screening and AI.

Key duties and responsibilities

  • Productizing Machine Learning research results.
  • Designing, developing, and deploying Machine Learning systems using an on-premise infrastructure.
  • Integrating our solutions into client's pipelines.
  • Working in cooperation with a foreign client (English-speaking environment; no late evening calls).
  • Implementing new features and improving existing ones.
  • Writing unit and integration tests.
  • Creating project documentation.
  • Performing code reviews.
  • Refactoring code.
  • Fixing bugs.

Requirements

  • 3+ years of relevant commercial experience.
  • Degree in Computer Science, Software Engineering, or related field.
  • Strong programming skills in Python.
  • Experience with bash and git.
  • Engineering mindset.
  • Knowledge of Software Engineering good practices (code reviews, testing, SOLID principles).
  • Understanding of Machine Learning process (training, validation, evaluation, inference, cross-validation, metrics).
  • Proficiency in English.
  • Ability to work from our office in Kraków 3 days per week.

You get extra points for experience with:

  • Big Machine Learning and data processing pipelines.
  • MLOps.
  • KServe.
  • Kubernetes.
  • Docker.
  • NumPy, pandas, PyTorch.
  • AWS cloud.
  • Working in a Scrum team.
  • Data visualization tools.
  • Nextflow.
  • Computer-aided drug design.
  • Phenotypic screening data.

We offer

  • An opportunity to shape breakthrough solutions in the fight against cancer
  • Permanent position that can be adjusted to your preferences in terms of employment form ("UoP"/B2B)
  • Flexible working hours
  • Multisport Card, Private Healthcare (LuxMed), Life Insurance
  • A yearly discretionary bonus based on the company's performance
  • Clearly defined career paths, funding for professional development, training, and conference attendance
  • Mentoring program
  • Internal library
  • Knowledge-sharing sessions, company events, meetups, webinars, activity groups (professional, sports, hobbies)
  • You can be a part of the #CodeAgainstCancer initiative and have a real impact on helping oncology patients
  • Work with world-class companies and institutions on the cutting-edge of Life Science industry
  • Experts community of tech specialists, scientists, and people with a passion for their craft
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