Machine Learning Engineer

We are looking for a driven Machine Learning Engineer to expand our Artificial Intelligence team within the Innovation Division.

Working closely with the Senior AI Manager, the ideal candidate has a solid programming background and is ready to design, develop, and test AI solutions applied to research and innovation projects in the industrial and manufacturing sector (Industry 5.0), specifically involving:

• Visual data (Computer Vision)

• Textual and audio data (Natural Language Processing – NLP)

• Applied research on open-source models (e.g. Hugging Face)

Key Responsibilities

• Support the creation and training of Machine Learning and Deep Learning models for real-world use cases, such as visual quality control or voice-based human-machine interaction.

• Develop advanced solutions based on textual data using Generative AI models and Agentic AI architectures for automation and complex task resolution.

• Assist in the collection, cleaning, and preparation of datasets required to train algorithms (data pipelines, data augmentation).

• Collaborate with the software development team to integrate AI models into broader platforms or architectures, taking part in laboratory and field testing phases.

• Explore new models and libraries to assess how they can address the technical challenges of ongoing projects.

Technical Requirements

• Bachelor’s or Master’s degree in a technical or scientific discipline (Computer Science, Engineering, Mathematics, Physics, Data Science, or related fields).

• Strong proficiency in Python and SQL, along with the main data manipulation libraries (Pandas, NumPy).

• Hands-on experience (including academic) in developing applications based on Large Language Models (LLMs) and using orchestration frameworks such as LangChain, LangGraph, CrewAI, or LlamaIndex.

• Knowledge of RAG (Retrieval-Augmented Generation) architectures and Prompt Engineering fundamentals.

• Basic knowledge of at least one Deep Learning framework (preferably PyTorch or TensorFlow) and Computer Vision algorithms.

• Familiarity with Vector Databases (e.g. ChromaDB, Pinecone) and the use of APIs for generative models (OpenAI, etc.) or open-source models (e.g. Hugging Face ecosystem, Ollama).

• Basic knowledge of major Cloud platforms and architectures (e.g. AWS, Google Cloud Platform, Microsoft Azure).

• Familiarity with Git and code versioning practices.

Soft Skills

• Excellent command of both Italian and English, spoken and written.

• Strong communication skills and a collaborative mindset to work alongside diverse technical profiles (backend developers, process engineers, project managers).

• Flexibility and ability to adapt across different projects, switching between visual and textual data tasks.

• Curiosity and a strong inclination toward continuous learning in a fast-evolving field such as Artificial Intelligence.

Residence or domicile in the Turin area and willingness to travel will be considered a preferential requirement.

The role, compensation, and contract type will be assessed based on experience and qualifications.