Consultor/a de AI especializado/a en Generative AI & Azure
Tasks
- Apply MLOps LLMOps and CI CD
- Build and deploy Azure OpenAI solutions
- Build batch and near real time data pipelines
- Communicate technical decisions to technical and business stakeholders
- Conduct client workshops and discovery sessions
- Create machine learning and deep learning pipelines from experimentation to production
- Design cloud architectures for AI and machine learning on Azure
- Develop copilots conversational assistants and intelligent agents
- Ensure security observability scalability and data governance
- Implement Retrieval-Augmented Generation (RAG)
- Implement infrastructure as code for AI deployments
- Lead AI and data technical initiatives
- Model data and implement modern data architectures
Perks/Benefits
- Continuous learning culture
- Cultural and sports activities
- Flexible compensation plan
- Flexible work schedule
- Health and wellness program
- Hybrid work model
- Medical team at office
- Pro-bono projects
- Professional growth opportunities
- Team-building activities
- Telework option
- Volunteering opportunities
Skills/Tech-stack
AI Search | Azure | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure OpenAI | Azure Synapse | Azure Synapse Analytics | CI/CD | Container Apps | Data Governance | Data Modeling | Databricks | Deep learning | Infrastructure as Code | Kubernetes Service | LLMOps | Langchain | MLOps | Machine Learning | Microsoft Fabric | Observability | Pandas | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scalability | Scikit-learn | Security | Synapse Analytics | TensorFlow | “as-code”
Education
N/A
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