Fullstack Data Engineer (AI/NLP) for OT & IoT Security

Nozomi Networks Inc.; Lombardia; On-site; EUR 88,000 - 120,000; Full time

Benefits offered by this job

Work-Life Balance

Unparalleled Flexible Time-Off

Job summary

Nozomi Networks is seeking a Full-stack Data Engineer with a focus on AI and NLP in Lombardy, Italy. You will design, implement, and maintain data pipelines powering our OT and IoT cybersecurity platform.

You will work in an agile team, own user-facing features from inception to release, and collaborate across engineering to reduce technical debt.

Candidates should have strong programming skills in Python (and ideally Ruby), solid CS fundamentals, and familiarity with ML/NLP.

Qualifications

• Strong attention to detail and analytical skill.
• Proficiency in a dynamic programming language such as Python or Ruby.
• Knowledge of Machine Learning and NLP is a plus.
• B.S. or M.S. in Computer Science, Mathematics, Statistics or equivalent experience.

Responsibilities

• Use available technologies to develop medium to large features while proactively learning new ones and reducing technical debt.
• Support colleagues to achieve overall team success and foster a collaborative environment.
• Embody Nozomi Networks' Cultural Pillars and our mission to protect what matters most with transparency and trust.
• Collaborate within an agile team that emphasizes automation and the creation of high-quality, well-designed software.
• Take ownership of user-facing features from inception to release and beyond.

Skills

Python

Ruby

Algorithms & DS

Analytical thinking

Attention to detail

ML & NLP knowledge

Education

CS/Math/Stats degree or equivalent

Job description

Nozomi Networks is seeking a Full-stack Data Engineer with a focus on AI and NLP in Lombardy, Italy. You will design, implement, and maintain data pipelines powering our OT and IoT cybersecurity platform.

You will work in an agile team, own user-facing features from inception to release, and collaborate across engineering to reduce technical debt.

Candidates should have strong programming skills in Python (and ideally Ruby), solid CS fundamentals, and familiarity with ML/NLP.