Machine Learning Engineer @ Ardigen
4 tygodni temu
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
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
,[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: Python, Bash, Git, Machine learning, Kubernetes, Docker, AWS Cloud, MLOps, Data visualization, pandas, NumPy, PyTorch Tools: Confluence, GIT, Agile. Additionally: Training budget, Private healthcare, Flat structure, Small teams, International projects, Experts' community, English lessons, Integration events, Multisport, Mentoring program, Knowledge sharing session (interdisciplinary), Work on new solutions in the fight against cancer, UoP or B2B depending on your preference, Internal library, In-house trainings, No dress code.
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