AI monitoring system

Responsibilities

- 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.

Requirements

- 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

Is a plus

- Publications, blog, opensource contributions
- PhD

About Occur

Finding good tech talent for early stage ML companies

Company website:
https://occurai.com

Job posted on 4 April 2021
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