AI/NLP Full-Stack Data Engineer — Flexible Time-Off

Arbeitnow

Mendrisio

On-site

CHF 110,000 - 150,000

Full time

7 days ago
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Benefits offered by this job

Health & Wellness
Financial
Work-Life Balance
Unparalleled Flexible Time-Off

Job summary

Nozomi Networks is expanding its Engineering team and seeks a Full-stack Data Engineer with a focus on AI and NLP. You will design, implement, and maintain data pipelines that support our AI-powered cybersecurity platform for OT and IoT environments.

We value strong analytical skills, knowledge of ML/NLP, and experience with Docker, JavaScript, and React in a collaborative agile setting. A CS/Math/Statistics background is preferred.

Qualifications

  • Proficiency in Python or Ruby and strong problem solving.
  • Solid understanding of algorithms and data structures.
  • Experience with concurrent programming concepts.
  • Familiarity with ML/NLP is a plus.
  • Frontend tech familiarity including JavaScript/React is desirable.

Responsibilities

  • Use available technologies to develop medium to large features and reduce technical debt.
  • Collaborate within an agile team emphasizing automation and high-quality software.
  • Take ownership of user-facing features from inception to release and beyond.
  • Support colleagues to achieve team success and foster a collaborative environment.
  • Embody Nozomi Networks' pillars and mission with transparency and trust.

Skills

Python
JavaScript
Frontend development
Algorithms & data structures
Concurrent programming

Education

B.S./M.S. in CS/Math/Statistics

Tools

Docker
React

Job description

Nozomi Networks is expanding its Engineering team and seeks a Full-stack Data Engineer with a focus on AI and NLP. You will design, implement, and maintain data pipelines that support our AI-powered cybersecurity platform for OT and IoT environments.

We value strong analytical skills, knowledge of ML/NLP, and experience with Docker, JavaScript, and React in a collaborative agile setting. A CS/Math/Statistics background is preferred.

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