Senior MLOps Engineer

Kraków/Remote
Job description
  • Training, validating, and deployment of state-of-the-art machine learning models on large-scale, multidimensional datasets
  • Collaborating within multidisciplinary teams (developers, bioinformaticians, data scientists)
  • Working closely with Ardigen’s US and EU based customers or with our R&D team
Daily tasks can include
  • Training Machine Learning models in the context of Life Sciences on large-scale datasets in close collaboration with other developers and domain experts
  • Containerization of Machine Learning applications, services, and environments
  • Automatization of Machine Learning processes (e.g. training, validation)
  • Development and maintenance of computational infrastructure using tools like CI/CD, Allegro TRAINS, KubeFlow, MLflow
Requirements
  • Advanced degree in Machine Learning, Computer Science, Mathematics, Statistics or relevant quantitative discipline
  • Experience and track record in Machine Learning
  • At least 3 years of documented work experience as a Full Cycle Developer
  • Practical knowledge of statistical and machine learning techniques (regression, classification, dimensionality reduction, clustering, feature selection, cross-validation, etc.)
  • Experience in working with Data Science libraries such as numpy, pandas, sklearn, SciPy, TensorFlow, PyTorch, etc.
  • Strong programming skills in Python
  • Experience in designing, implementing, and scaling of Machine Learning workflows including deployment and delivery of production-ready model APIs
  • Experience in building Docker containers or equivalent
  • Experience in using cloud infrastructure (e.g. Google Cloud, AWS)
  • Experience with distributed version control systems (Git or equivalent)
  • Good team player with excellent communication skills and the ability to present work to diverse groups
  • Proficiency in English
You get extra points for
  • Proficiency with container orchestration tools (Kubernetes, ECS, etc.)
  • Familiarity with DevOps tools, eg. Vagrant, Ansible, Terraform
  • Experience in applying machine learning solutions for Life Sciences
  • Experience in working along the principles of Agile
We offer
  • Solving challenging machine learning problems
  • An opportunity to contribute to breakthrough solutions in the fight against cancer
  • Developing skills in a team of experts, scientists and people with passion for their craft
  • Participation in trainings, conferences, etc.
  • Working with innovative companies from the US and EU
  • Friendly, informal working atmosphere and flexible working hours

We kindly ask you to add the following clause to your application: „I hereby express my consent to the processing of my personal data by Ardigen S.A. for the purpose of existing recruitment process”. If you want us to keep the submitted documents also for the purposes of future recruitment processes, we kindly ask you to add the following clause to your application: „I hereby express my consent to the processing of my personal data by Ardigen S.A. for the purpose of future recruitment processes for a period of 3 years from the date of submission of this document, in order to analyse them in terms of the recruitment processes carried out in Ardigen.”

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