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Machine learning specialist

Lecco
AddiTech
Pubblicato il 14 giugno
Descrizione

Company Description

AddiTech is a research-based incorporation focused on advancing the field of Metal Additive Manufacturing (MAM) through innovative and intelligent technologies. The company is developing early-stage solutions that combine optical sensors, adaptive control systems, and machine learning to improve the metal 3D printing process in real time. AddiTech's long-term vision is to move from research to production, offering practical, industrial solutions for the additive manufacturing community.

Role Description

Monthly Salary: €1800 - €2500

This is a part-time, remote Senior Machine Learning Specialist role located in the Greater Turin Metropolitan Area at AddiTech. The Senior Machine Learning Specialist will be responsible for designing, developing, implementing, and optimizing advanced machine learning models and algorithms. The specialist will conduct sophisticated analyses of sensor-generated data, enhance adaptive control systems, and lead critical aspects of research and development aimed at improving the efficiency, accuracy, and effectiveness of Metal Additive Manufacturing processes.

Qualifications

* Expert proficiency in advanced Machine Learning algorithms and deep learning frameworks (TensorFlow, PyTorch)
* Extensive experience with complex data analysis, statistical modeling, and predictive analytics
* Advanced programming skills in Python, along with proficiency in R or MATLAB
* Solid expertise in data processing, management, and visualization tools (e.g., Pandas, NumPy, SQL databases, Matplotlib, Seaborn)
* Demonstrated track record in developing and deploying machine learning models in real-world industrial or research applications
* Strong analytical thinking, research capabilities, and innovative problem-solving abilities
* Excellent written and verbal communication, leadership, and remote collaboration skills
* Master's degree or higher in Computer Science, Data Science, Machine Learning, Engineering, or a closely related technical field
* Prior hands-on experience or deep familiarity with additive manufacturing processes, sensor data fusion, or industrial automation is highly desirable

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