Machine Learning Engineer, KRAKÓW
Requirements
- 4+ years of relevant commercial experience.
- Strong programming skills in Python.
- Experience with bash and git.
- Engineering mindset.
- Experience in applying Software Engineering good practices (code reviews, testing, SOLID principles).
- Understanding of Machine Learning process (training, validation, evaluation, inference, cross-validation, metrics).
- Proficiency in English.
You get extra points for experience with:
- Big Data or Large Machine Learning processing pipelines.
- MLOps environments.
- KServe, Kubernetes and Docker.
- NumPy, pandas, PyTorch.
- AWS cloud.
- Nextflow.
- Data visualization tools.
- Drug Discovery / Cheminformatics / Biomedical imaging / Phenotypic screening data
- Working in a Scrum team.
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!
Join Ardigen as a Machine Learning Engineer to innovate in drug discovery through AI and phenotypic screening. Our mission is to accelerate the process of developing lifesaving treatments. You'll play a key role in crafting and improving Machine Learning systems that are supporting the efforts of optimal drug design. In this specific project, we implement a hybrid work model, with 2 days on-site (Kraków) and 3 days of remote flexibility.
Be a part of our team driving healthcare forward!
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