JUNIOR MACHINE LEARNING ENGINEER

Responsibilities:

The candidate will join the Industrial Automation department and will be responsible of:

• Maintenance and development of AI&RPA models currently in production
• Implementation of data management pipelines, including extraction and transformation of machine learning algorithms up to making available them for training
• Monitoring of model performance metrics
• Definition of technical requirements and pre-production tests in collaboration with SW/HW Development team
• Effective communication of the results obtained, also directed to non-experts
• Interaction with experts from the various Production Units and departments to identify opportunities for improvement related to the application of machine learning

Requirements:

We are currently on the lookout of candidates with the following characteristics:

• Graduated or close to graduate, preferably in Data Science, Statistical Sciences, Big data Analytics, Applied Mathematics, Mathematical Engineering or related disciplines with excellent academic results
• Knowledge of at least one of the following languages: Python, C ++, C #
• Knowledge of machine learning frameworks (i.e.:Tensorflow, Keras, PyTorch)
• Passion for data and bearer of a solid foundation in computer science
• Superior skills in applying mathematical models to production
• Good analytical skills and results oriented
• Good interpersonal and communication skills
• Proactive personality

Previous experience in the following areas is also considered:

• Ability to use and manage relational databases (eg SQL server, MySQL) and noSQL
• Big Data Analytics tools (eg. Hadoop, Spark)
• Computer vision / image processing algorithms

Thesis works carried out in the field of machine learning will be considered a plus.

The profile of the candidate is completed by a strong ability to work in multidisciplinary and international teams, providing both creative and technical contribution. The best candidate is focused to production issues, product optimization, cost savings and process improvement.

A good knowledge of English and the availability for short trips in Italy and abroad are also required.