Full Stack Machine Learning Engineer

Overview Our customer 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 external recruitment and internal development. The company recently secured €5.5 million in funding and 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 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 GenAI-powered assessment systems within an agile development process. Experience and Qualifications 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-ops pipelines and versioning, from data to model deployment. Experience in building API web services. Fluency in programming languages, including Python and TypeScript. Knowledge of database management (e.g., 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. English language proficiency (C1) for team communication. Organized, agreeable, open-minded, and team-oriented soft-skills. Location Location: Italy. HQ is based in Milan with flexibility to work remotely from Italy. Employment Type Full-time - Permanent contract J-18808-Ljbffr

Location: Trento, Trentino-Alto Adige, IT

Posted Date: 9/15/2025