Pulse

GlassFORM.ai S.P.A.

PROGETTO MANIFATTURA ROVERETO

GlassFORM.ai is a joint-venture company created in 2021 by Bottero (Italy) and Tiama (France), worldwide leaders in machinery for glass production (forming machines and quality control systems respectively). The company operates in the hollow glass production segment (bottles, containers, etc) providing process automation solutions using Artificial Intelligence and Machine Learning.
The GlassFORM.ai products, thanks to AI/ML algorithms, analyze images and 3D representations provided by sensors together with operational and machine parameters to optimize the glass-production process, reducing waste, energy consumption and defects in the final products.

Pulse

GlassFORM.ai S.P.A.

PROGETTO MANIFATTURA ROVERETO

GlassFORM.ai is a joint-venture company created in 2021 by Bottero (Italy) and Tiama (France), worldwide leaders in machinery for glass production (forming machines and quality control systems respectively). The company operates in the hollow glass production segment (bottles, containers, etc) providing process automation solutions using Artificial Intelligence and Machine Learning.
The GlassFORM.ai products, thanks to AI/ML algorithms, analyze images and 3D representations provided by sensors together with operational and machine parameters to optimize the glass-production process, reducing waste, energy consumption and defects in the final products.

Profili ricercati

Machine Learning Engineer

Numero figure ricercate: 1
Sede di lavoro: Progetto Manifattura – Rovereto
Data di scadenza: 10/06/2023
Full Time

Descrizione della posizione offerta:

We are looking for a Machine Learning Engineer in the area of industrial or technical solutions. You will join the Data Science team, working closely with the Data Engineering team, the Software Development team, and industry process stakeholders to create and improve exciting ML solutions.

Responsibilities

  • Development of advanced machine learning and deep learning algorithms for complete automation of production process control
  • Manage the exploration and exploitation phases of a project
  • Identify and communicate the performance metrics of the models, helping the process experts to link with the customer specifications
  • Conceptualize, design, develop, and test Python code using popular libraries (PyTorch, TensorFlow, Scikit, Pandas, Numpy, etc.)
  • Interfacing with ETL internal pipeline and data management libraries
  • Contributing to data transformation and filtering algorithms
  • Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services
  • Participation to the Agile rituals in a multidisciplinary team

Required Qualifications

  • Graduate studies in Machine Learning, Data Science or Applied Mathematics, Graduate studies in Computer Science with relevant studies in software development with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history in AI/ML (2 years minimum).
  • Motivation for Agile development
  • Advanced level in PyTorch, TensorFlow, or other deep learning frameworks
  • Basic knowledge of SQL
  • Good knowledge of versioning control systems (Git)

Additional Preferred Qualifications

  • Experience in software engineering with advanced skills in Python
  • Experience in Agile Software Development
  • Experience in delivering products powered by machine learning
  • Track record of contributing to open-source projects
  • Experience in other programming languages other than Python, such as C++, Java, R etc
  • Big data management

Offer

  • Not just an abstract data science job, but a real engineering position, where you can learn the fundamentals of the subtended manufacturing process, including thermo-fluid dynamics and rheology, as well as the interaction with automation machines and state-of-the-art sensing technologies, with cutting-edge AI modeling
  • Access to the state-of-the-art technologies for software and AI R&D
  • An Agile development philosophy relying on the Scrum framework
  • A young, international, motivated, and fast-paced team, mainly composed of software developers, data scientists and automation engineers
  • A nice working environment, located in the “Progetto Manifattura”, startup hub in Rovereto
  • A startup working model, with the advantages of being backed by two international market leaders

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