Senior Consultant.e - Data Scientist (H/F)
Tasks
- Automate MLOps workflows
- Build data pipelines
- Design GenAI observability
- Design data and AI architectures
- Develop internal data and AI offerings
- Ensure access security and compliance
- Implement data quality tests
- Implement rag pipelines
- Industrialize AI and GenAI use cases
- Lead and mentor engineering teams
- Lead project execution and deliverables
- Manage stakeholder coordination
- Package models for production
- Provide technical architecture guidance
- Set up data governance and lineage
- Support pre-sales and bid responses
Perks/Benefits
Skills/Tech-stack
AI Act | APIs | AWS | Azure | Batch Processing | Bicep | CloudFormation | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Observability | Data Products | Data Quality | Data Security | Data Warehouse | Data mesh | Databricks | Dataiku | Docker | GCP | Generative AI | Kubernetes | LLM Prompt | LLM Prompt Management | LLMOps | Lakehouse | MLOps | Machine Learning | Micro-batch | Observability | Programming Architecture | Prompt management | RAG | Responsible AI | Snowflake | Streaming | Terraform | Vector Database
Education
N/A
Roles
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