Full Stack Machine Learning Engineer

Overview

Our customer is a rapidly growing HR tech startup based in Italy has developed a SaaS platform for AI-powered Skill Assessment. The solution is designed to help organizations identify top talent and evaluate skills, cultural alignment, and leadership potential across the workforce. In today’s dynamic labor market, where skills have become a top priority for HR departments, this platform enables companies to conduct large-scale AI assessments for both external recruitment and internal development. The company recently secured €5.5 million in funding from leading VC firms and currently partners with major enterprises across banking, retail, and luxury sectors.

Role

Full Stack Machine Learning Engineer to join its Science & AI team in reshaping the future of skill assessment. The ML engineer will contribute to cutting-edge AI initiatives led by the company’s head of science, playing a key role in designing, fine-tuning, deploying, and enhancing an advanced GenAI-driven assessment system in an agile environment.

Responsibilities

• Design, fine-tune, deploy, and enhance a GenAI-driven assessment system.
• Contribute to AI initiatives led by the head of science in an agile environment.
• Work on deploying GenAI-based conversational AI agents and related ML-Op pipelines from data to model deployment.

Qualifications

• 5+ years of research or practical experience in machine or deep learning, with a focus on natural language processing and large language modeling.
• 3+ years of experience in training and deploying GenAI in a software system, whether on-cloud or in-premise. Additional experience in retrieval augmented generation (RAG) is preferred.
• Experience in ML-Op pipeline and versioning, from data to model deployment. Experience in building API web services.
• Fluency in programming languages, including Python and TypeScript. Knowledge in database management such as MySQL. Experience with online platforms such as AWS.
• Knowledge in designing a Chatbot-enabled web interface with customizable prompts, vector databases, and code agent functionality.
• Fluency in English (C1) for team communication.
• Organized, agreeable, open-minded, and team-oriented soft-skills.

Location

Location: Italy

HQ is based in Milan, flexibility to work remotely from Italy.

Full time - Permanent contract

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