Deep Learning Software Engineer
7 mesi fa
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 statisticsSoft Skills:
Innovation; problem solving; multidisciplinary team working; mentoring junior colleagues; willingness to work with international teams; active participation to the project, and commitment to quality and time. Practical mind set and co-attitudeRequirements:
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 tasksNice to have: Parallel programming (CUDA, OpenCL) or SIMD development.
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