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
Health care plan 'Fondo Metasalute'
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