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.
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