AI/ML Engineer – Live Story

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🕒 June 29

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Product Heroes

11 - 50 employees

Founded 2018

💼 Consulting

📣 Marketing

📚 Education

Consulting • Marketing • Education

Product Heroes is an Italian ecosystem for people who create and manage digital products, offering training, certifications and master programs (Master in Product Management, Product Heroes Certification, AI-focused masterclasses), corporate consulting and tailored training, headhunting and recruitment for product roles, and a large community with events, conferences, meetups, resources, a job board and content (blog, podcast, templates). It serves both individual professionals (education, career transition, upskilling) and companies (product strategy, discovery, roadmaps, team training), and emphasizes practical, no-code/AI-enabled product building and community networking.

📋 Description

• AI Product Development: Progetterai e implementerai feature basate sia su Generative AI (fine-tuning e orchestrazione di LLM come Llama o OpenAI) che su modelli di Machine Learning classico. • Bridge Tech-Business: Lavorerai a stretto contatto con il Product Team per identificare i casi d'uso ad alto impatto, traducendo i bisogni di business in progetti di data science concreti. • MLOps & Infrastructure: Non scriverai solo modelli, ma contribuirai a costruire l'infrastruttura per il prompt management, il monitoraggio dei modelli, l'ottimizzazione dei costi e le pipeline di deploy. • Continuous Improvement: Monitorerai le performance dei modelli in produzione, analizzando i dati di utilizzo per iterare e garantire che l'AI porti vero valore al business.

🎯 Requirements

• 3+ anni di esperienza applicata in AI/Data Science, idealmente maturata in contesti di prodotto o SaaS. • Python Mastery: Conoscenza profonda di Python e delle sue core libraries. • GenAI Stack: Esperienza pratica con framework di Deep Learning (PyTorch, Hugging Face) e strumenti di orchestrazione come LangChain. • Classical ML: Padronanza di Scikit-Learn, Pandas, Numpy e modellazione statistica. • MLOps: Hai esperienza nel portare modelli in produzione (deployment, performance tuning, ottimizzazione costi/latenza).

🏖️ Benefits

• Retribuzione (RAL): Range 35.000€ - 45.000€. • Flessibilità: L'azienda opera con una policy Remote-first. Puoi lavorare in Full Remote da dove vuoi, oppure sfruttare gli uffici a Milano se preferisci il contatto dal vivo. • Ambiente Tech: Entrerai in un team dove la qualità del codice e l'innovazione sono al primo posto.

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