Job Details

Generative AI & Machine Learning Engineer

Posting Date: 3 Mar 2025

City: Roma

Location: Roma, IT, 128

Contract Type: Permanent

Division: Digital Technology and Cybersecurity

Level of experience: Intermediate

RINA is currently recruiting for a Generative AI & Machine Learning Engineer to join its office in Rome within the Digital Technology and Cybersecurity Division.

Mission

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

• Master's Degree
• Doctorate/PHD in Computer Science