204 python 2024 English-speaking jobs in Milan

Work across a diverse tech stack: Java, Python, Angular/React/Vue, AWS, Kubernetes, and Kafka.

Proficiency in at least one programming language (e.g., Java, Python, C#) and experience with system

Strong interest in Data Science, Artificial Intelligence and Software Development Knowledge of JS, Python

experience in designing software architectures; Indepth knowledge of Typescript/Javascript, Java/Scala, Python

Most of the work is done in C/C++/Python, some in Windows environment and others in Linux. ... Python Knowledge of laboratory hardware/software instruments (oscilloscope, signal generator, multimeter

Kibana, Loki, ElasticSearch) Additionally, experience with some of the following is considered a plus: Python

geotechnical and programming software: Ensoft Package (APILE, LPILE, GROUP), Plaxis, Autocad, Excel, Python

Proficiency with the Python data ecosystem (NumPy, pandas, matplotlib, seaborn, scikit-learn).

triplestores or graph databases; Familiarity with EU data standards or interoperability frameworks; Python

Technical Context: The platform is built on a Python/FastAPI backend using LangGraph to manage interconnected

Working knowledge of Python and general coding practices.

designers, marketers, and PMs Tech Stack: (must) NodeJS, ReactJS, TypeScript, (good to have) Java, Go, Python

Verilog, System Verilog, Verilog AMS, and UVM PSL, SVA and formal verification is a plus TCL, CSH, python

Basic knowledge of SQL and/or Python is an advantage.

and end-to-end analytical flows; cloud architecture principles; coding skills in at least one among Python

hands-on-experience developing end to end analytics solutions (from ETL to data visualization) Proficiency in Python

(Docker, Kubernetes); Cloud security management and best practices skills; Scripting skills (Bash, Python

with process simulation softwares (Aspen Plus) and knowledge of programming language (Fortran, C++, Python

Ability to create research tools in Python.

You may learn to use industry standard tools like Excel, Python, SQL, PowerBI, google BigQuery, Postman