We're GetResponse, a Polish SaaS company with more than 300 people on board and 350,000+ customers all over the world.
We've 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 Specialist 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
- are fascinated by data and AI
- enjoy new challenges
- understand teamwork and have a Boy Scout attitude
- very good understanding of Python 3 and proven commercial experience
- experience in creating and training ML/DL models (scikit-learn, TF, PyTorch)
- experience with preparing ML models using state-of-the-art solutions, i.e.: modern architectures, architecture design & optimization, pruning, transfer learning)
- experience with building ML/DL model pipelines using MLFlow, AirFlow, TF Serving, Streamlit, REST API or similar.
- experience with monitoring & observing ML models in production (metrics monitoring, model decay, reliability, A/B Testing)
- practical knowledge of ML model repository solutions (model tracking)
- 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