Чем предстоит заниматься
Automate ML workflows
Build robust data pipelines batch micro batch streaming
Build vector database solutions
Define data governance and catalog processes
Design AI agent architectures
Design and evolve data and AI architectures
Design and operate RAG pipelines
Ensure data observability for pipelines
Implement MLOps and LLMOps best practices
Implement data quality tests monitoring and data contracts
Industrialize AI and GenAI use cases
Lead AI governance and responsible AI practices
Lead project delivery and coordinate stakeholders
Manage prompts and model security
Orchestrate agent workflows
Package machine learning models
Provide technical code review and guide developers
Run technical workshops with security IT and business
Set up LLM observability
Translate business needs into technical requirements