AI e Machine Learning System Engineer

Luxoft; Italia; In loco; EUR 40.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading IT consulting firm in Italy is looking for an experienced AI & Machine Learning System Engineer. This role focuses on designing and deploying scalable architectures for AI services, bridging the gap between AI research and production. Candidates should have a strong background in AI frameworks, cloud infrastructure, and proven experience in system engineering. Join us to make AI technologies efficient and impactful.

Competenze

• Bachelor's or Master's degree in a relevant field.
• Experience with machine learning frameworks like TensorFlow and PyTorch.
• Proficient in creating scalable systems and cloud environments.

Mansioni

• Design and prove the feasibility of high‑performance, scalable architectures for AI applications.
• Develop monitoring solutions and optimize system performance for AI workloads.
• Translate business needs into technical requirements and propose new AI use cases.

Conoscenze

TensorFlow

PyTorch

Docker

Kubernetes

Python

Bash

OpenStack

Nvidia NIM

vLLM

LM Studio

LangChain

Formazione

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Descrizione del lavoro

Do you want to join a company that places people at the heart of its concerns? We are waiting for you at Extia! Since 2007, Extia, an IT consulting firm, has been offering a unique approach combining well‑being at work and performance. With more than 3000 Extians working in 20 agencies in France and abroad, we are the 3rd Great Place To Work® in France.

We follow a simple yet effective philosophy: “First who, then what!”. We are looking for an AI & Machine Learning System Engineer who will design, architect, and deploy scalable systems that power AI services. You will bridge the gap between AI research and production, ensuring that machine learning models run efficiently at scale.

⚡ Then What

Key Responsibilities

• Design and prove the feasibility of high‑performance, scalable architectures for AI and machine learning applications.
• Develop monitoring solutions and optimize system performance for AI workloads to ensure smooth model deployment.
• Work with other departments to translate business needs into technical requirements and propose new AI use cases.
• Ensure the infrastructure follows security best practices and implement robust controls to protect data. Diagnose and resolve issues in real time, providing support to the AI team and preventing future problems.

Key Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience with TensorFlow, PyTorch, vLLM, and liteLLM.
• Proven experience as a Systems or Cloud Engineer, focused on scalable infrastructure.
• Deep understanding of Docker, Kubernetes, and OpenStack.
• Proficiency in Python and Bash.
• Experience with Nvidia NIM, vLLM, LM Studio, and LangChain in both cloud and local environments.
• Understanding of machine learning models, including training and fine‑tuning.
• Experience in software development and DevOps practices.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting