Cynamics is the only sample-based, next-generation network detection and response for threat prediction and visibility at scale. It's probe-less and agent-free and uses just 1% of network traffic to get 100% visibility using our state-of-the-art patented and academically-acknowledged AI.
We’re growing our Data Science team and looking for an enthusiastic and passionate ML developer to join us. The ideal candidate is a team player who is passionate about both ML and Software Engineering, experienced with developing complex ML projects end2end to the production and eager to join our amazing team building our exciting cutting-edge technology.
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Build innovative AI models all the way to the production while contributing from your Data Science expertise to influence Cynamics cutting-edge technology
Designing, building and maintaining Cynamics ML infrastructure and continually improving our end2end lifecycle processes and raising our standards
Expanding our ML infrastructure to make it scalable, quick and efficient to bring diverse models to production and to monitor their performance over time
Handling distributed data processing pipelines to support model development
Act as a facilitator between Cynamics Research team and Engineering by understanding both sides and work closely with our researchers, data scientists and cyber analysts and enabling them to research new models faster and with greater precision by providing cutting edge tooling.
Gather and analyze large complex datasets
2+ years experience bringing ML projects to production in a robust and reliable way
3+ years developing complex software projects in Python
Experience with large scale data processing
Strong knowledge and experience of wide variety of statistical, data mining and machine learning algorithms, concepts and frameworks
Strong knowledge and experience of Software Engineering
Strong analytical skills with strict attention to detail and ability to present data insights in a clear and concise way
Good communication skills and a team player
A plus - Experience working with AWS cloud services
A plus - Degree in Computer Science or equivalent