Our costumer 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.
We are looking for an experienced
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.
Experiences : A background in computational-enabled or data science disciplines is required A background in a subdiscipline of behavioral science will be regarded as an advantage 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. The ability to design and deploy real-time GenAI-based conversational AI agents is favored. Experience in ML-Op pipeline and versioning, from data to model deployment Experience in building API web service
Skills: Fluency in programming languages, including
Python and Typescript. Knowledge in database management such as with 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) (team communication language) Organized, agreeable, open-minded, and team-oriented soft-skills
Location:
Remote but based in Italy
- HQ is based in Milan, flexibility to work remotely