Senior Consultant.e - Data Scientist (H/F)
Tasks
- Automate MLOps workflows
- Build data pipelines batch micro batch streaming
- Collaborate with cloud data platform and security teams
- Contribute to business development proposals
- Deploy analytics ML and GenAI solutions
- Design RAG pipelines
- Design agentic AI workflows
- Design data and AI architectures
- Enable data governance catalog lineage access security
- Implement LLM observability
- Implement data quality testing and monitoring
- Industrialize AI use cases from PoC to production
- Lead project execution and stakeholder coordination
- Manage data schemas and data contracts
- Manage vector databases
- Mentor data engineering teams
- Orchestrate agent pipelines with tools and APIs
- Package and deploy machine learning models
- Perform tech lead architecture reviews and code reviews
- Secure model API calls
- Support Responsible AI governance
Perks/Benefits
- Career development
- Equity accommodations
- Flexible work
- Further training
- Mobile work
- Smartworking
- Training catalog
Skills/Tech-stack
AI Agents | AWS | Azure | Azure OpenAI | 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 | GCP | GenAI | Kubernetes | LLMOps | Lakehouse | MLOps | Machine Learning | Medallion Architecture | RAG | Responsible AI | Snowflake | Terraform
Education
N/A
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