Senior Consultant.e - Data & AI engineer (H/F)
Tasks
- Build RAG pipelines
- Build batch microbatch and streaming data pipelines
- Create data platform patterns and development standards
- Design Data Lakehouse architectures
- Develop agentic workflow architectures for AI agents
- Establish data lineage and access security
- Expose data through BI APIs and ML features
- Implement LLM observability tooling
- Implement MLOps and LLMOps best practices
- Implement data quality tests and monitoring
- Industrialize AI and GenAI use cases from PoC to production
- Lead data engineering tech decisions and code reviews
- Manage vector database services
- Orchestrate specialized agents and integrate with business systems
- Package and automate model workflows
- Secure model API calls
- Set up data contracts and schema management
Perks/Benefits
Skills/Tech-stack
AI Governance | AWS | Azure | Bicep | CloudFormation | Data Contracts | Data Engineering | Data Lake | Data Lakehouse | Data Lineage | Data Observability | Data Products | Data Quality | Data Warehouse | Data mesh | Databricks | Dataiku | Docker | GCP | Kubernetes | LLM Observability | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | PySpark | Python | RAG | SQL | Snowflake | Terraform | Vector Databases
Education
N/A
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