Full Stack Machine Learning Engineer

Overview Our costumer is a rapidly growing HR tech startup based in Italy that has developed a SaaS platform for AI-powered Skill Assessment. The solution helps organizations identify top talent and evaluate skills, cultural alignment, and leadership potential across the workforce. The platform enables 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. Responsibilities Contribute to cutting-edge AI initiatives and work on designing, fine-tuning, deploying, and enhancing an advanced GenAI-driven assessment system in an agile environment. Collaborate with the Science & AI team to advance AI capabilities for skill assessment, talent identification, and leadership potential evaluation. Qualifications & Experience 5 years of research or practical experience in machine learning 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 on-premise. Experience with retrieval augmented generation (RAG) is preferred. 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 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 Remote but based in Italy — HQ is in Milan, with flexibility to work remotely. J-18808-Ljbffr

Location: Salerno, Campania, IT

Posted Date: 9/16/2025