Machine Learning Engineer

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 Napoli (Italy).

The candidate will be involved in challenging problems in different areas including, for example : (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.

Main Responsibilities :

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

Read scientific research papers, re-implement them and customize solutions according to company needs and customer requirements

Prepare presentations and participate in technical meetings, with possibility of short travels in Italy and / or abroad

Draft technical documentations

Draft technical proposals for national and international research initiatives

Must Have :

Good knowledge of Python

Hands-on experience in the main packages for Machine Learning : numpy, pandas, matplotlib, sklearn

Hands-on experience in the framework Tensorflow or, in alternative, in PyTorch

Good background in Statistics and Machine Learning (classification, regression and clustering) and in Convolutional Neural Networks for classification and detection tasks

Hands-on experience with Docker container and conda environments

Hands-on experience in Data Versioning (e.g. DVC) and CI / CD pipelines (e.g. Jenkins)

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

Ability to present the results of the work to both technical and not technical audiences

Good knowledge of the English language (at least B2), both written and oral

Willingness to learn and ability to adapt to changing and challenging scenarios

Ability to work independently and in a team

Availability to work in the Defence field

Preferred :

At least 2 years work experience in an industrial setting as a Machine Learning Engineer

Hands-on experience in inference on NVIDIA Jetson boards (e.g. Orin Nano, Xavier, TX2) or alternatively, on FPGA

Hands-on experience in docker container orchestration based on Kubernetes

Hands-on experience with GStreamer for reading from a camera and streaming to a remote endpoint

Hands-on experience in the design of REST APIs by means of Flask or FastAPI

Practical experience in C++ and object oriented programming

What we offer :

Work with a team of professionals with different background and experience

Face technical problems in different technology domains from Defence and Space to Railway and Automotive

Take on more responsibility and grow professionally

Present projects to workshops

Hybrid work (up to 60%) after an initial period of candidate assessment

Restaurant ticket of 8 euros for all working days

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