Informacje o stanowisku
Nice to Have:
- Microsoft Azure AI Engineer Associate certification
- Experience with LLMs and Generative AI use cases
- Experience delivering enterprise-scale AI solutions
- Strong hands-on experience with Microsoft Azure cloud platform
- Proven experience with Azure Machine Learning and Azure AI services (including Azure OpenAI)
- Strong programming skills in Python (experience with PySpark is a plus)
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Knowledge of CI/CD pipelines and MLOps practices
- Experience with REST APIs and microservices architecture
- Strong communication skills in English
Nice to Have:
- Microsoft Azure AI Engineer Associate certification
- Experience with LLMs and Generative AI use cases
- Experience delivering enterprise-scale AI solutions
,[Design, develop, and deploy AI/ML solutions using Microsoft Azure services, Build, train, and optimize machine learning models using Azure Machine Learning, Develop AI-powered applications leveraging Azure OpenAI, Cognitive Services, and related Azure AI services, Implement and manage data pipelines integrating with Azure Data Factory, Synapse, and/or Databricks, Apply MLOps best practices for model deployment, monitoring, and lifecycle management, Ensure scalability, reliability, security, and performance of AI solutions, Collaborate closely with data engineers, architects, and business stakeholders to deliver end-to-end AI solutions Requirements: Azure
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