Machine Learning Engineer

3 settimane fa


Pisa PI, Italia Intecs A tempo pieno

Intecs Engineering Spa is an Italian company specialized in the design and development of applications, tools, software, hardware components and products for the Aerospace, Defence, Transport, Railway, Telecommunications and Smart Systems markets in collaboration with the main Industries, Organizations, Universities and European and Italian Research Laboratories.
To best support our customers in their transition to data-driven decision-making, Intecs Engineering is looking to expand its Artificial Intelligence Laboratory with a Machine Learning Engineer to be inserted in its offices, either Pisa or Napoli.

This role is open to candidates that are willing to relocate in Pisa (Italy).

i) Detection and Tracking of targets in war scenarios based on optical and infrared on-ground cameras with edge processing constraints, as well as data fusion of detection metadata with other data sources (e.g. radar) (ii) quality improvement and super-resolution of on-ground/aerial images from electro-optical sensors based on GANs (iii) Improvement of our company solution for car parking monitoring based on car detection from RTSP streams and edge processing, (iv) development of our company counter-UAS technology solution for drone detection based on a on-ground optical/infrared camera for 360-degree surveillance and a zoomed camera.
As a Machine Learning Engineer, you will be involved in all the phases of a Data Science project lifecycle, but with a particular focus in the deployment stage of the trained networks and automated monitoring methodologies to ensure model accuracy, speed and reliability upon deployment and model efficiency over time.

Manage the whole software lifecycle, with a focus in deployment and production monitoring for cutting-edge Machine Learning, Computer Vision and Deep learning solutions
Write software that ensures high accuracy and speed performances, maintainability, scalability, reusability and reliability upon deployment
Manage technical projects with limited supervision
Interact with backend and frontend engineers for integration of the AI-based solution in the whole software infrastructure
Prepare presentations and participate in technical meetings, with possibility of short travels in Italy and/or abroad
Good knowledge of Python
Hands-on experience in the main packages for Machine Learning: numpy, pandas, matplotlib, sklearn
Good background in Statistics and Machine Learning (classification, regression and clustering) and in Convolutional Neural Networks for classification and detection tasks
Hands-on experience in Data Versioning (e.g. Hands-on experience in network optimization techniques for edge processing (quantization, pruning, model compression) via TensorRT library
Master Degree in Computer Science or Computer Engineering with a degree grade of at least 103/110
Good knowledge of the English language (at least B2), both written and oral
At least 2 years work experience in an industrial setting as a Machine Learning Engineer
Orin Nano, Xavier, TX2) or alternatively, on FPGA
Hands-on experience with GStreamer for reading from a camera and streaming to a remote endpoint
Practical experience in C++ and object oriented programming

Face technical problems in different technology domains from Defence and Space to Railway and Automotive
Present projects to workshops
Hybrid work (up to 60%) after an initial period of candidate assessment
Health care plan “Fondo Metasalute”


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