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
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