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RINA

Generative AI & Machine Learning Engineers

RINA
Italy · Full-time · Associate

We’re building our AI Factory, the engine of RINA's digital innovation and we’re looking for 100+ talented professionals from around the world to join us!If you’re a Software Engineer, AI Expert, Cloud Architect, UX/UI Designer, Digital Product Owner, or Innovation Business Owner, this is your opportunity to make an impact.Join a vibrant, global team where creativity and knowledge fuel every breakthrough.

Ready to innovate with us?

Mission

We are currently recruiting for Generative AI & Machine Learning Engineers to join our offices in Rome / Genoa / Naples / Bari / Milan within the Digital Technology and Cybersecurity Division.

The mission of this role is to design, develop, and deploy cutting-edge generative AI solutions on the Azure platform. The successful candidate will leverage Azure's AI tools and services to create innovative applications that drive business growth and efficiency.

Key Accountabilities

  • Solution Design & Development: Design and develop generative AI models and algorithms using Azure Cognitive Services, Azure OpenAI, and Azure Machine Learning.
  • AI Model Training: Fine-tune and optimize pre-built generative models or develop custom solutions for NLP, image generation, and other AI applications.
  • Cloud Integration: Implement end-to-end AI solutions, integrating them with existing cloud infrastructures and leveraging Azure services such as Azure Data Lake, Azure Functions, and Azure DevOps.
  • Deployment & Monitoring: Deploy AI models in production environments, ensuring scalability, security, and high performance. Utilize Azure’s monitoring tools to track model performance and optimize for efficiency.
  • Collaboration: Work closely with data scientists, cloud architects, and product teams to translate business requirements into technical solutions.
  • Innovation: Stay updated with the latest trends in AI and cloud technology, continuously improving and adapting the AI solutions to enhance business capabilities.

Qualifications

Proven +2 years experience as

  • Programming Languages: Advanced proficiency in Python, with experience in using AI/ML libraries (e.g., PyTorch, TensorFlow).
  • Azure AI Services: Strong knowledge of Azure OpenAI, Cognitive Services, and Azure Machine Learning.
  • Cloud Architecture: Solid understanding of cloud architecture, especially within the Azure ecosystem (Azure Functions, Azure DevOps, Azure Kubernetes Services).
  • DevOps Practices: Experience with DevOps practices for AI deployment (CI/CD pipelines, containerization).
  • Generative Models: In-depth experience with models like GPT-4, Llama, including fine-tuning and customization.
  • NLP Techniques: Experience in natural language processing and text generation patterns.

Nice to Have:

  • Advanced Python Development: Knowledge of best practices, frameworks, and code optimization.
  • Teamwork: Excellent communication and collaboration skills.
  • Problem Solving: Analytical skills to tackle complex issues.
  • Certifications: Microsoft Certified: Azure AI Engineer Associate or similar certifications.

Education

Bachelor’s Degree in Engineering General

Master’s Degree

Competencies

  • CLIENT INTIMACY - Embrace internal and external client needs, expectations, and requirements to ensure maximum satisfaction
  • EARN TRUST - Take everyone's opinion into account and remain open to diversity
  • PROMOTE SUSTAINABLE DEVELOPMENT - Promote commitment by keeping promises as a Role Model
  • MANAGE EMOTIONS - Recognise one's and other's emotions and express and regulate one's reactions
  • PIONEER CHANGE - Actively embrace change and benefit from the new circumstances
  • BUILD NETWORK - Forge trust relationships, across departments, and outside the organization
  • MAKE EFFECTIVE DECISIONS - Structure activities according to priorities, actions, resources and constraint
  • ADDRESS THE WAY - Have a big picture of different situations and reinterpret it in a perspective way
  • THINK FORWARD - Capitalise on experiences and translate them into action plans for the future

With over 5,800 employees and 200 offices in 70 countries worldwide, RINA is a multinational player which provides certification, marine classification, product testing, site supervision and vendor inspection, training and engineering consultancy services across a wide range of sectors. Our business model covers the full process of project development, from concept to completion. The aim is to guarantee a project’s technical, environmental and safety - and sometimes also economic and financial - sustainability.

At RINA, we endeavor to create a work environment where every single person is valued and encouraged to develop new ideas. We provide equal employment opportunities and are committed to creating a workplace where everyone feels respected and safe from discrimination or harassment of any kind. It is the policy of RINA to provide equal employment opportunity to all individuals regardless of their race, color, religion, sex (including pregnancy) national origin, age, disabilities, marital status, sexual orientation, genetics, military status, disabled veterans, recently separated veterans, other protected veterans (veterans who served during a war or in a campaign or expedition for which a badge has been authorized), and Armed Forces service medal veteran, or any other characteristic protected by state or federal law. We are strongly committed to this policy and believe in the concept and spirit of the law.

RINA does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of RINA without a prior written search agreement will be considered unsolicited and the property of RINA. Please, no phone calls or emails.

Key Skills

Ranked by relevance

ai cloud python devops natural language processing machine learning cybersecurity product owner kubernetes designer ai tools pytorch cicd
Login to Apply
Posted
Nov 11, 2025
Type
Full-time
Level
Associate
Location
Rome
Company
RINA

Industries

Mechanical Or Industrial Engineering Environmental Services Information Technology & Services

Categories

Engineering Information Technology

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