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Senior Software Engineer
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Fullstack Developer
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Software Development Engineer II
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Software Engineer
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Senior Software Engineer
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Senior Sharepoint Engineer
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Training Lead
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Cisco Kraków, PolskaOperating system, WindowsYour responsibilities, You will also work alongside some of the industry's brightest minds and receive the support and backing from the #1 Greatest Place to Work in the World. This is a chance to build your career and leverage training, mentoring and expo ...
Machine Learning Engineer @ - Kraków, Polska - Ardigen
Opis
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.
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 ("Uo P"/B2 B) Flexible working hours Multisport Card, Private Healthcare (Lux Med), 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 #Code Against Cancer 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.
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.
Num Py, pandas, Py Torch.
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.
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 ("Uo P"/B2 B) Flexible working hours Multisport Card, Private Healthcare (Lux Med), 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 #Code Against Cancer 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.
Python, Bash, Git, Machine learning, Kubernetes, Docker, AWS Cloud, MLOps, Data visualization, pandas, Num Py,
Py Torch 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, Uo P or B2 B depending on your preference, Internal library, In-house trainings, No dress code.
