Senior Consultant.e - Data Sciencist (H/F)
Tasks
- Apply MLOps and LLMOps practices
- Build data pipelines batch micro batch and streaming
- Deploy AI agent workflows
- Design data and AI architectures
- Develop RAG pipelines
- Enforce data governance and data contracts
- Implement data quality tests and monitoring
- Implement vector database solutions
- Industrialize AI and GenAI use cases
- Integrate BI and APIs and ML features
- Lead project delivery and stakeholder coordination
- Maintain data lineage and cataloging
- Manage prompt workflows
- Mentor data engineering teams
- Orchestrate agent chains
- Package and automate ML workflows
- Provide technical architecture guidance and code review
- Secure model API calls
- Set up LLM observability
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Azure | BI | Bicep | CloudFormation | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Observability | Data Products | Data Quality | Data Warehouse | Data mesh | Databricks | Dataiku | Docker | GenAI | Google Cloud | Kubernetes | LLM Observability | LLMOps | Lakehouse | MLOps | Machine Learning | Prompt engineering | RAG | Snowflake | Terraform | Vector Databases
Education
N/A
Roles
Consultant | Data Engineer | Data Scientist | Engineer | Scientist | Senior Consultant
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