Hybrid ML Engineer & Data Scientist: Time Series & AI

SATE Systems and Advanced Technologies Engineering; Venezia; Hybrid; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Flexible working hours

Meal vouchers

Online learning courses

Knowledge sharing sessions

Work in innovative projects

Job summary

A leading engineering firm in Italy is seeking candidates with a Master’s degree in Computer Science or related fields. As part of a multi-disciplinary team, you will develop innovative AI-based software solutions for systems health monitoring. The role offers hybrid working options and opportunities for professional growth. Candidates should possess strong skills in data analysis and programming in languages like MATLAB, Python, and C++. The company provides benefits including flexible hours and training opportunities.

Qualifications

• Master's degree preferred.
• Up to 5 years of experience in relevant fields.
• Strong knowledge of advanced data analysis techniques.

Responsibilities

• Implement AI-based and model-based solutions for systems health monitoring.
• Engage in data analysis activities and software development.
• Collaborate with multi-disciplinary teams.

Skills

Time series data analysis

Signal processing

Machine Learning

Deep learning

Programming in high-level languages

Data mining

Data cleaning techniques

English (B2)

Microsoft Office (Word, Excel)

Education

Master’s degree in Computer Science, Data Science, Physics, Mathematics, or Engineering

Tools

MATLAB

Python

C++

Java

Job description

A leading engineering firm in Italy is seeking candidates with a Master’s degree in Computer Science or related fields. As part of a multi-disciplinary team, you will develop innovative AI-based software solutions for systems health monitoring. The role offers hybrid working options and opportunities for professional growth. Candidates should possess strong skills in data analysis and programming in languages like MATLAB, Python, and C++. The company provides benefits including flexible hours and training opportunities.