R&D Ai/Ml Software Engineer Pisa

R&D Ai/Ml Software Engineer
Pisa
Toscana, Pisa

Software house working in the IT Network field is currently looking for an R&D AI Software Engineer in Pisa.

The candidate will be involved in cutting-edge R&D activities.

The main tasks will include:

Participation in internal product-oriented projects and collaborative R&D international projects with the following activities:Software developmentSoftware integration, testing and validationContributions in requirements definition and analysis, system and software architecture designParticipation in technical meetings for R&D international projects, with travels in EU countriesInvolvement in writing technical documentation and deliverablesTechnical ScoutingCategoria: Technology & Telecoms

Luogo di lavoro: Pisa

Requisiti: You have a Master Degree in a related technology area, such as computer science, information technology engineering (computing engineering, telecommunication engineering, electronic engineering), automation engineering, biomedical engineering.

Masters in hard sciences subjects such as mathematics and physics may be considered.

You gained at least 2 years of experience in development with either Python, GO or Java and experience with ML/AI libraries, frameworks and MLOps such as MLFlow, PREFECT, TorchServe, PyTorch Lightning or others.

You have good understanding of data structures, data modeling, and software architecture principles relevant to ML/AI applications.

You developed capabilities in writing technical documentation both in Italian and English language, about architecture, software design, technical reports for testing, integration and validation activities.

You know about networking foundations.

You are a curious person, eager to learn and continuously experiment with new things, and inclined to interact and collaborate with multidisciplinary teams and international partners.

You are available to travel in EU countries when needed.

Nice to have: Knowledge of virtualization technologies and practical experience with platforms for management of Virtual Machines and containers (e. g. , OpenStack, Docker, Kubernetes)Knowledge (at least basic level) of DevOps solutions for testing automation and CI/CD, preferably with practical experiencePractical experience (at least basic level) with relational and non-relational database managementKnowledge (at least basic level) of protocols, techniques and solutions for messaging and data exchange, preferably with practical experience with open-source solutions (e. g. , Kafka, RabbitMQ, etc.

)Previous experience, knowledge or interest in one of the following areas: SDN/NFV, edge and cloud computing, network security, IoT platforms

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