Were GetResponse, a Polish SaaS company with more than 300 people on board and 350,000+ customers all over the world.
Weve been here since 1998. We’re global, remote and multicultural, yet we share the same values.
Our flagship product, the GetResponse platform, provides our customers with advanced online marketing solutions like marketing automation, responsive email design, landing page creator, webinars and useful analytical tools.
If you’re ready for an adventure where you can use your smarts, share your enthusiasm and conquer global markets — join our team!
We are looking for an experienced Machine Learning Engineer (NLP) who will work on developing an internal risk assessment system.
- are passionate and creative
- are ready to gain new knowledge and experience
- are curious and inquisitive by nature
- have a data-driven mindset
- enjoy new challenges
- work with various teams to deliver custom ML pipelines
- very good understanding of Python 3 and proven commercial experience
- hands-on experience with basic NLP/ML tools (scikit-learn, NLTK)
- experience with modern deep learning models for text processing (i.e. knowledge extraction)
- experience with preparing ML/DL models for NLP and text mining
- experience with the building and continuous improvement of NLP model pipelines for training & deployment (experience with, i.e. MLFlow or equivalent)
- experience with monitoring ML models in production
- superb self-organization skills
- very good communication skills
- good command of English
- very good command of Polish
- experience with cloud computing and model training in the cloud (AWS or GCP)
- experience with running experiments in a cloud environment
- experience with developing tests and experiments for production models (e.g. A/B tests or multi-armed bandit)
- experience with GitLab, JIRA, Confluence
- familiarity with Agile Manifesto
- remote work
- home office subsidy and #getremote fund
- private health insurance
- mental health helpline
- employee pension program (PPE)
- corporate life insurance
- sport cards fund
- language classes