Machine Learning Engineer

2 mesi fa


Bardi, Italia Nlp People A tempo pieno

Responsibilities
The candidate will join the Machine Learning team within the Artificial Intelligence & Robotic Process Automation department and will mainly focus on computer vision applications, with the following responsibilities:

- Explore, define, and support the deployment of tools based on deep learning and machine learning to enhance production processes.
- Maintenance and development of AI algorithms and models currently in production.
- Software development to support team projects.
- Data management pipelines implementation, from extraction and transformation to data available for training machine learning algorithms.
- Monitoring the performance metrics of algorithms and models.
- Defining technical requirements and conducting pre-production tests in collaboration with SW/HW Development teams.
- Effectively communicate results, even to non-technical audiences.
- Interact with experts from various Production Units and departments to identify improvement opportunities related to the application of machine learning.
Requirements
- Bachelor's or Master's degree, preferably in Data Science, Statistics, Big Data Analytics, Applied Mathematics, Mathematical Engineering, or related fields with excellent academic results.
- Proficiency in at least one of the following languages: Python, C++, C#.
- Knowledge of machine learning frameworks (Tensorflow, Keras, PyTorch, …).
- Competence in Computer Vision / image processing algorithms.
- Understanding of key image classification techniques, segmentation, and object detection.
- Good ability to apply mathematical models in a production environment.
- Strong analytical skills and results-oriented mindset.
- Strong ability to work in a team.
- Good command of the English language.
- Availability for short trips in Italy and abroad are required
Company:
Technoprobe
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
Tagged as: Big Data , Classification , Industry , Italy , Machine Learning , NLP

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