Generative Ai

We're building ourAI Factory, the engine ofRINA's digital innovation and we're looking for 100+ talented professionals from around the world to join usIf 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?MissionWe are currently recruiting forGenerative AI & Machine Learning Engineersto join our offices inRome / Genoa / Naples / Bari / Milanwithin 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 AccountabilitiesSolution 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.QualificationsProven +2 years experience asProgramming 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.EducationBachelor's Degree in Engineering GeneralMaster's DegreeCompetenciesCLIENT INTIMACY - Embrace internal and external client needs, expectations, and requirements to ensure maximum satisfactionEARN TRUST - Take everyone's opinion into