R&D Deep Learning Software Senior Engineer

Datalogic; Monte San Pietro; In loco; EUR 50.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading technology company is seeking a Senior Embedded Deep Learning Engineer to join its innovative Computer Vision & Machine Learning team. This role involves designing AI algorithms to enhance its product portfolio. Candidates should have strong experience in building machine learning models, specifically in deep learning and computer vision, along with a commitment to collaborating in a multidisciplinary team environment.

Competenze

• PhD or MS in Computer Science, Math, Physics, Electronic Engineering.
• At least 5 years of experience in Deep Learning/Computer Vision.
• Good knowledge of ML frameworks.

Mansioni

• Research and develop Machine Learning/Deep Learning models for data analysis.
• Train, optimize, and deploy DNNs on edge devices.
• Work cross-functionally to define product requirements.

Conoscenze

Machine Learning

Deep Learning

Computer Vision

C++

Python

Multidisciplinary team working

Commitment to quality

Formazione

PhD in Computer Science, Math, Physics, or related fields

MS in Computer Science, Math, Physics, Electronic Engineering, or related fields

Strumenti

TensorFlow

PyTorch

Descrizione del lavoro

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R&D Deep Learning Software Senior Engineer, Monte San Pietro

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Client:

Datalogic

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

693de92a49c2

Job Views:

3

Posted:

12.07.2025

Expiry Date:

26.08.2025

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Job Description:

Job Description

We are looking for a highly motivated Senior Embedded Deep Learning Engineer to join the Computer Vision & Machine Learning team that is in charge of expanding the AI product portfolio of Datalogic, focused primarily on the utilization of Artificial Intelligence to improve and speed up the localization and decoding phase of barcode and 2D codes. Headquarter Lippo di Calderara (BO).

The role is responsible for designing and developing both AI-based and computer vision algorithms to extract information automatically from a continuous stream of data. As a Senior Engineer, you will be hands-on and responsible for deployment of the deep learning models directly at the edge. In this role, you will contribute extensively to Datalogic edge devices, creating AI/ML models as well as classic algorithms, taking a science first approach, integrating them into the underlying architecture, code maintenance, QA efforts and everything alse involved in the end-to-end product development and release cycles. The candidate will work closely with other engineers and scientists creating the foundation of the future Datalogic AI solutions.

Key Responsibilities:

• Research and develop state-of-the-art Machine Learning/Deep Learning models for automatic data analysis;
• Design and implement DNNs and other ML techniques to detect and classify 2D codes acquired from a camera;
• Train, optimize, quantize, deploy and monitor performances of DNNs on edge devices;
• Analyze performance of models, provide guidance for targeted data collection to enhance training dataset;
• Integrate ML components into existing products by optimizing the entire processing pipeline;
• Work cross functional to help define product requirements aligning the technical agenda with the company's business objectives.

Requirements:

• Education: PhD preferred or MS in Computer Science, Math, Physics, Electronic Engineering, Artificial Intelligence
• Experience: At least 5 years of experience in research activity on Deep Learning/Computer Vision. Good knowledge of ML/Deep Learning models used both regression and classification tasks.

Other Information and Specific Skills:

> Technical Skills:

• MS in Computer Science, Math, Physics, Electronic Engineering, with a focus in Deep Learning, Computer Vision, Artificial Intelligence or related fields.
• At least five years' experience developing embedded or edge device through full product lifecycle.
• At least five years’ experience developing machine learning/deep learning/computer vision algorithms running on edge devices.
• Consolidated knowledge of ML framework such as TensorFlow or PyTorch.
• Good programming skills both in C++ and Python.

> Soft Skills:

• multidisciplinary team working;
• willingness to work with international teams;
• active participation to the project, and commitment to quality and time.