We are a young company with deep experience in AI and scientific data analysis. We build proprietary, patented AI systems for spectral analysis based on magnetic resonance data, and we work with international clients on hard, real-world problems.
We are a small team of highly qualified people. We like smart, practical thinking. We care about human relationships, intellectual honesty, and the freedom to do serious work without pointless bureaucracy. We are trying to build a high-talent-density company where strong people can do the best work of their careers.
If that sounds like your kind of environment, keep reading.
What you will do
You will help us design, build, deploy, and improve machine learning systems used in production.
In practice, that means you will:
- design and implement machine learning and deep learning models;
- work on both neural networks and classical ML approaches, depending on what actually works;
- build data pipelines and production-ready ML services;
- deploy and monitor ML systems in real environments;
- collaborate with software engineers,
scientists, and clients;
- support projects across multiple industries, not just one narrow use case;
- help shape technical decisions on both the product side and the client-delivery side.
This is not a “train a model and throw it over the wall” job. We want someone who likes owning the full path from problem framing to production impact.
Our current tech stack
Our stack is evolving, but today this role is likely to work with:
- Python;
- PyTorch and/or TensorFlow;
- scikit-learn, NumPy, pandas;
- cloud platforms such as AWS, GCP, or Azure;
- containers and backend tooling;
- distributed or scalable data-processing workflows where needed.
If you are strong in the fundamentals and have shipped real systems, we care more about depth and judgment than an exact line-by-line match.
What we need from you
Essential requirements
- At least 3 years of relevant experience in machine learnin
📌 Machine Learning Engineer (Cagliari)
🏢 Rombo Ai
📍 Cagliari
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