AI & Machine Learning Engineer

Fine Foods & Pharmaceuticals N.T.M. S.p.A.; Reggio Emilia; In loco; EUR 50.000 - 85.000; Tempo pieno

Descrizione del lavoro

Fine Foods & Pharmaceuticals N.T.M. S.p.A. is seeking an AI & Machine Learning Engineer to contribute to research and development of intelligent software solutions.

The role focuses on the design, experimentation, and implementation of AI-based applications, working across areas such as machine learning, generative AI, multimodal systems, and edge computing.

Mansioni

• Design and develop AI and Machine Learning solutions for research and industrial applications.
• Contribute to the development of applications based on Large Language Models and Generative AI.
• Design and implement Retrieval-Augmented Generation (RAG) solutions and knowledge-based AI systems.
• Explore and develop multimodal applications combining different types of data and inputs.
• Contribute to the deployment and optimization of AI models for edge and resource-constrained environments.
• Develop prototypes and proof-of-concepts to evaluate emerging AI technologies.
• Support testing, evaluation, and performance analysis of AI models and applications.
• Collaborate with multidisciplinary teams across software engineering, design, HMI, and research activities.
• Contribute to technical documentation and project deliverables.

Descrizione del lavoro

To strengthen our R&D deparment and innovation activities, we are looking for an AI & Machine Learning Engineer to contribute to the research and development of intelligent software solutions.

The role focuses on the design, experimentation, and implementation of AI-based applications, working across areas such as machine learning, generative AI, multimodal systems, and edge computing.

We are looking for a curious and technically motivated engineer who is interested in exploring emerging AI technologies and translating them into concrete applications and working prototypes.

Main Activities

• Design and develop AI and Machine Learning solutions for research and industrial applications.
• Contribute to the development of applications based on Large Language Models and Generative AI.
• Design and implement Retrieval-Augmented Generation (RAG) solutions and knowledge-based AI systems.
• Explore and develop multimodal applications combining different types of data and inputs.
• Contribute to the deployment and optimization of AI models for edge and resource-constrained environments.
• Develop prototypes and proof-of-concepts to evaluate emerging AI technologies.
• Support testing, evaluation, and performance analysis of AI models and applications.
• Collaborate with multidisciplinary teams across software engineering, design, HMI, and research activities.
• Contribute to technical documentation and project deliverables.