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GENERATIVE AI & MACHINE LEARNING ENGINEER

Rio de Janeiro - Rio de Janeiro

Descrição da oferta de emprego

Generative AI & Machine Learning Engineer - 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 Azures 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. Education Bachelors Degree in Engineering or related field Qualifications Experience with 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. 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 constraints 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 RINA is a multinational company providing a wide range of services in the energy, marine, certification, infrastructure & mobility, industry, research & development sectors. Our business model covers the full process of project development, from concept to completion. 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. We are also compliant with the Italian Law n. 68/99. #J-18808-Ljbffr
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Detalhes da oferta

Empresa
  • Caderno Nacional
Localidade
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 19/08/2025
Data de expiração
  • 04/01/2026
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