Senior Consultant.e - Data Scientist (H/F)
Tasks
- Build data pipelines
- Conduct technical code reviews
- Coordinate stakeholders
- Define architecture patterns and standards
- Define data governance standards
- Design agentic AI architectures
- Design data and AI architectures
- Develop RAG pipelines
- Implement LLM observability
- Implement MLOps and LLMOps workflows
- Implement data catalogs and lineage
- Implement data quality tests
- Industrialize AI and GenAI use cases
- Lead presales technical support
- Lead project delivery
- Manage vector databases
- Mentor data engineering teams
- Orchestrate agent workflows
- Package and deploy machine learning models
- Secure model API calls
- Set up data monitoring
Perks/Benefits
Skills/Tech-stack
AI Governance | Amazon Web Services | Azure | Bicep | Cloud platform | CloudFormation | Data Catalog | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Observability | Data Products | Data Quality | Data Warehouse | Data mesh | Databricks | Dataiku | Docker | Fabric | GenAI | Google Cloud | Google Cloud Platform | Kubernetes | LLM Observability | LLMOps | Lakehouse | MLOps | Palantir Foundry | Prompt management | RAG | Responsible AI | Snowflake | Terraform | Vector Databases | Web Services
Education
N/A
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