- Research, prototype and implement Drift Detection algorithms, time-series anomaly detection, and other ML monitoring algorithms. - Tackle new research and ML problems and implement efficient and effective solutions. - Take part in customer meetings and help with client on-boarding to fully understand and fulfill their needs. - Help design and develop new internal tools to facilitate product development and algorithmic research. - Work closely with the founding to help define the technical roadmap.
- Significant experience in AI monitoring - 3+ years of previous experience developing production ready Machine Learning models on tabular or time-series data - Deep understanding of statistical methods and modern ML algorithms and experience evaluating the suitability of various approaches for a use case - Strong experience in Python data stack and ML deployment technologies - Software engineering best practices, version control, containerization and testing - Exceptional communication skills in English - both oral and written - You are extremely proactive, independent and comfortable with proposing new ideas — and holding your ground when you believe you are right - You live in or are willing and able to relocate to EU time zones and you are open to travel occasionally