Machine Learning Engineer Offline

Example of models we are looking for:

https://github.com/yubo1993/GGNNSmartVulDetector

 

Responsibilities:

- Design Model(s) for static code analysis to identify security issue;

- Design and implement ML models and solutions;

- Develop machine learning pipelines and proof-of-concept prototypes for a variety of use cases;

- Monitor the performance of deployed ML models over time with the help of already developed metrics. Your own approach and tools are welcome in addition to the existing ones;

- Manage the whole machine learning lifecycle;

Identify any possible flaws in model serving pipeline(s), look for root causes, fix if possible, involve other engineers when needed

- Take full ownership of ML models, including collecting training data, deploying in production, and overseeing the quality and ongoing evaluation of models.

- Collaborate with other engineers to build tools for accelerating ML research internally.

 

Requirements:

- More than 3 years of experience as ML Engineer;

- Strong experience in static code analysis;

- Strong knowledge of ML theory and practice — pros & cons of different model types, validation, metrics, etc;

- MSc/BSc in Computer Science or Data Science or similar degree will be an advantage;

- Good verbal and written English communication skills (Intermediate level or higher).

 

We offer:

- Competitive salary corresponding to your level of knowledge, skills and experience;

- Work with interesting projects in blockchain technology;

- Comfortable office in the centre in the city;

- Strong and supportive team;

- Vacation & Paid time off;

- Team buildings and presents for birthdays;

- Learning, courses and conferences paid by the company;

- Fruits and snacks at the office.

The job ad is no longer active
Job unpublished on 27 May 2021

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