Machine Learning Engineer in Constanţa

Docker (nice to have) Kubernetes (nice to have) AWS (nice to have) Git (regular) Bash (regular) PyTorch (regular) Pandas (regular) NumPy (regular) Python (advanced) We believe that integration of AI in the early-stage drug discovery process can significantly reduce cost & time, and improve the likelihood of success. We integrate the most recent advancements in AI (computer vision & AI-chem) with molecular biology and medicinal chemistry bridging the gap between cell imaging and the design of the desired small molecules. We develop AI Technology Platform enabling the identification of small molecule drug candidates changing the disease to a healthy stateAt 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 responsibilitiesWorking within an interdisciplinary team (Data Scientists, Software Engineers, Computer Vision Specialists) to productize Machine Learning research resultsDesigning, developing, and deploying Machine Learning systems using an on-premise infrastructureDelving into computational pipelines to optimize the execution time and resource consumptionWorking in cooperation with a foreign clientRequirements4+ years of relevant commercial experienceDegree in Computer Science, Software Engineering or a related fieldStrong programming skills in PythonFluent in the usage of NumPy, pandas, PyTorch, bash, and gitBasic understanding of the Machine Learning process (training, validation, evaluation, inference, cross-validation, metrics)Proficiency in EnglishYou get bonus points forExperience with KubernetesExperience in computer-aided drug designExperience working with phenotypic screening dataExperience working in a Scrum teamExperience with NextflowExperience with DockerExperience with AWS cloudWe offerAn opportunity to shape breakthrough solutions in the fight against cancerPermanent position that can be adjusted to your preferences in terms of employment form ("UoP"/B2B)Fully remote or hybrid working model Flexible working hoursMental health supportMultisport Card, Private Healthcare (LuxMed), Life InsuranceYearly bonus of up to 20% of your annual income  Clearly defined career paths, funding for professional development, trainings and conference attendanceMentoring programInternal libraryKnowledge-sharing sessions, company events, meetups, webinars, activity groups (professional, sports, hobbies)By cooperating with a non-profit Foundation #CodeAgainstCancer we have a real impact in helping children with cancerWork with world-class companies and institutions on the cutting-edge of Life Science industryExperts community of tech specialists, scientists, and people with a passion for their craft