Overview
Dato l'elevato interesse per questa posizione, la preghiamo di candidarsi tempestivamente se il suo profilo è in linea con il ruolo.
Your next challenge: create the future of Data & AI at Fater. You’ll join our Data & Analytics team, contributing to the design and deployment of advanced Machine Learning and AI solutions that power our Industrial, Commercial, and Corporate areas. In this role, you will shape scalable models, build intelligent systems, and accelerate Fater’s AI innovation roadmap.
Responsibilities
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* Lead the design and development of Machine Learning, Deep Learning, and advanced AI systems.
* Translate complex business needs into concrete, measurable, data‑driven solutions.
* Validate, monitor, and industrialize algorithms in production environments.
* Contribute to the company’s AI innovation roadmap.
* Collaborate with Production, Marketing, Sales, Finance, and Tech Innovation teams to co‑create impactful solutions.
* Provide mentoring and technical guidance to junior Data Scientists.
* Develop robust data processing pipelines and MLOps pipelines in collaboration with Data Engineering.
Benefits
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* Hybrid working until 5 days a week – depending on the specific need of the role.
* Contribution for sporting activities.
* Supplementary pension fund.
* Supplementary Health Care.
* Three months of paternity leave – 100% paid.
* much more! Discover all on our career site.
What You Bring to the Team
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* Courage to experiment.
* Emotional intelligence in action.
* Learning and simplification agility.
Must Have Qualifications
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* Master’s degree or PhD in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related fields.
* 5+ years of proven experience in Data Science / AI roles.
* Strong understanding of mathematics and statistics applied to ML and DL.
* Advanced programming skills in Python.
* Experience with Deep Learning frameworks (TensorFlow, PyTorch).
* Experience using LLMs both locally and via API.
* Knowledge of AI agent frameworks (e.g., LangChain, LangGraph, CrewAI).
* Experience building RAG‑based models.
* Experience deploying models using Flask or FastAPI.
* Knowledge of GitLab and SQL.
Preferred Qualifications
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* Knowledge of Streamlit (Python framework).
* Basic understanding of Docker. xjrgpwk
* Familiarity with Microsoft Azure cloud environment.
EEO Statement
Fater is proud to be an inclusive workplace and welcomes applications from talented individuals belonging to protected categories (pursuant to Law 68 / 99). Here you’ll find an open, informal environment where being yourself is not just accepted but celebrated, because your uniqueness makes us who we are. And if you believe your work can inspire an extraordinary future, we’re ready to build it with you.
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