Offer summary

Qualifications:

At least 3 years of experience as an MLOps Engineer or DevOps Engineer., Proficiency with cloud platforms such as GCP, Azure, or AWS., Hands-on experience in model lifecycle management and knowledge of data versioning., Expertise with Kubernetes and orchestrator tools for model deployment..

Key responsabilities:

Participate in the end-to-end process of productionizing machine learning models.

Implement near real-time and batch inferences while addressing data and model drift.

Monitor and maintain the performance of deployed models in production environments.

Manage infrastructure for the horizontal scaling of deep learning models.

Job description

Work somewhere with the creativity of a scaleup and expertise of an enterprise.

We’re looking for a world-class MLOps Engineer to join our Team in Milan.

You’ll participate in the end-to-end process of productionizing machine learning models, from model deployment to monitoring and maintaining their performance.

You’ll also work with large language models, focusing on implementing near real-time and batch inferences and address data drift and model drift in production environments.

Requirements

What You Have

At least 3 years of experience as MLOps Engineer or DevOps Engineer
Proficiency with GCP, Azure or AWS
Knowledge of Data Versioning
Familiarity with vector Database
Hands-on experience in Model Lifecycle
Proficiency with Orchestrator tool
Knowledge of Model Serving and Deployment
Expertise with Kubernetes
Experience in managing Infrastructure for the horizontal scaling of deep learning models.
Experience with HPC is a plus

Who You Are

An analytical thinker with a passion for data
Proactive, comfortable working alone or as part of a team
Super organized
Accurate, with strong attention to detail
English speaker

Benefits

Perks

Learning Friday. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials.
Smart Working. Trains can be a drag, you can save some commuting time by working from home.
Salary is based on experience, and topped up with other bonuses.

We offer a competitive salary, as well as an opportunity to receive company equity. The typical salary for this role ranges between € 50.000 and € 65.000. As you gain experience and make more significant contributions to the business, your compensation will be reviewed to match your impact.

About iGenius

iGenius is a deep-tech company specialized in the development of Artificial Intelligence solutions for companies operating in highly regulated industries, including financial services, government, or heavy industry. iGenius’ main product, Unicorn, offers tailored solutions for companies looking to integrate AI safely and effectively, mainly through two proprietary Large Language Models (LLMs). Italia 10B, is a multi-language model optimized for regulated sectors and elevated computational efficiency, while Colosseum 355B, built with latest-generation NVIDIA technology, is fit for mission-critical use cases. In addition to Unicorn, iGenius’ product offer includes Crystal, an AI agent for Decision Intelligence that analyzes business data in natural language and accurately supports strategic, insight-driven decision-making. In December 2024, iGenius joined forces with NVIDIA to build Colosseum – one of the largest AI supercomputers in the world – to support the deployment of its models with unrivaled speed, performance, and efficiency.

Active in both Europe and the United States, iGenius is one of the leading AI unicorns in the European landscape, and has attracted Fortune 500 companies, including Allianz and Intesa Sanpaolo. This led Gartner to recognize iGenius as a “Cool Vendor” in the AI Core Technologies category, as well as mention the company in its Market Guide for Conversational AI.

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