Deep Learning Software Engineer (R&D85)

TN Italy; Monte San Pietro; In loco; EUR 45.000 - 80.000; Tempo pieno

Descrizione del lavoro

An innovative company is seeking a Senior Embedded Deep Learning Engineer to join their Computer Vision & Machine Learning team. This role involves designing and developing cutting-edge AI algorithms to extract information from data streams and deploying deep learning models at the edge. As a key contributor, you will work closely with engineers and scientists to shape the future of AI solutions. If you have a passion for technology and a strong background in deep learning and computer vision, this is an exciting opportunity to make a significant impact in a dynamic environment.

Competenze

• 5+ years of experience in embedded or edge device development.
• Strong knowledge of ML frameworks like TensorFlow or PyTorch.
• Experience in developing algorithms for edge devices.

Mansioni

• Research and develop state-of-the-art ML/DL models for data analysis.
• Design and implement DNNs for object detection and classification.
• Integrate ML components into existing products.

Conoscenze

Deep Learning

Computer Vision

C++

Python

TensorFlow

PyTorch

Problem Solving

Multidisciplinary Team Working

Formazione

MS in Computer Science

MS in Math

MS in Physics

MS in Electronic Engineering

MS in Artificial Intelligence

Strumenti

CUDA

OpenCL

Descrizione del lavoro

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Deep Learning Software Engineer (R&D85), 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:

ed9d448f9276

Job Views:

2

Posted:

06.05.2025

Expiry Date:

20.06.2025

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Job Description:

Embedded Deep Learning Software Senior Engineer

We are looking for a highly motivated Senior Embedded Deep Learning Engineer to join the Computer Vision & Machine Learning team that is in charge to expand the AI product portfolio of Datalogic.

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.

The duties and responsibilities of the role include:

• Research and develop state-of-the-art Machine Learning/Deep Learning models for automatic data analysis;
• Design and implement DNNs to detect, classify and segment objects from 2D/3D 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.

Skills and Competencies:

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.
• Experience in operational excellence, using and evaluating device metrics to track performance
• Strong mathematical reasoning skills, especially related with probability and statistics

Soft Skills:

• problem solving;
• multidisciplinary team working;
• willingness to work with international teams;
• active participation to the project, and commitment to quality and time.
• Practical mind set and co-attitude

Requirements:

• Education: MS in Computer Science, Math, Physics, Electronic Engineering, Artificial Intelligence
• Languages: Italian; English (mother tongue or Proficient)
• 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

Nice to have:Parallel programming (CUDA, OpenCL) or SIMD development.