Hybrid ML & AI Research Engineer — Real-World Impact

YANMAR R&D EUROPE S.R.L.

Toscana

Ibrido

EUR 60.000 - 80.000

Tempo pieno

3 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

International R&D environment
Cutting-edge AI projects
Conferences & collaborations

Descrizione del lavoro

YANMAR R&D EUROPE S.R.L. in Florence, Italy, seeks a researcher to develop data-driven AI solutions across energy systems, engines, robotics, and agriculture.

You will design software prototypes, run experiments, analyze results, and translate findings into practical applications in a hybrid work setting. You will work with experts and partners, contribute to reports/publications, and manage projects from feasibility to deployment, spanning classical ML, deep learning, and cutting-edge AI

Competenze

  • Master’s degree in STEM with research experience preferred.

Mansioni

  • Design software prototypes and run experiments to advance AI technologies across multiple domains (engines, energy, agriculture, robotics).
  • Collaborate with researchers, engineers, universities, and partners to translate research into practical solutions.
  • Contribute to technical reports and publications; manage projects from feasibility to deployment and technology transfer.
  • Assess and benchmark ML/AI systems, including evaluation metrics and model interpretation.

Conoscenze

Python
NumPy
Pandas
Matplotlib
PyTorch
TensorFlow
Keras
Transformers
LLM
RAG
Model eval

Formazione

Master's degree in STEM

Strumenti

Docker
Linux
Git
OpenAI APIs
Azure OpenAI
Hugging Face
LangChain
Ollama
PostgreSQL

Descrizione del lavoro

YANMAR R&D EUROPE S.R.L. in Florence, Italy, seeks a researcher to develop data-driven AI solutions across energy systems, engines, robotics, and agriculture.

You will design software prototypes, run experiments, analyze results, and translate findings into practical applications in a hybrid work setting. You will work with experts and partners, contribute to reports/publications, and manage projects from feasibility to deployment, spanning classical ML, deep learning, and cutting-edge AI

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