Senior Consultant.e - Data Scientist (H/F)
Tasks
- Apply MLOps and LLMOps best practices
- Automate model packaging workflows
- Build data pipelines batch micro batch and streaming
- Build vector database solutions
- Coach and mentor data engineering teams
- Coordinate stakeholders and deliverables
- Define data platform patterns and standards
- Design agent orchestration workflows
- Design data and AI architectures
- Develop ML and GenAI pipelines
- Implement data quality monitoring and data observability
- Implement rag pipelines
- Lead technical design architecture reviews code review
- Manage data science consulting projects
- Secure model API calls and prompt management
- Set up data governance catalogs lineage and access security
- Support pre-sales and bid responses
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Access Control | Azure | Batch Processing | Bicep | Cloud platform | CloudFormation | Data Architecture | Data Catalog | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Observability | Data Products | Data Quality | Data Warehouse | Data mesh | Databricks | Dataiku | Docker | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | LLMOps | Lakehouse | Language Processing | MLOps | Machine Learning | Microsoft Fabric | Natural Language | Natural Language Processing | Observability | Palantir Foundry | RAG | Snowflake | Streaming | Terraform
Education
N/A
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