Senior Consultant.e - Data Scientist (H/F)
Tasks
- Automate ML workflows
- Build robust data pipelines batch micro batch streaming
- Build vector database solutions
- Define data governance and catalog processes
- Design AI agent architectures
- Design and evolve data and AI architectures
- Design and operate RAG pipelines
- Ensure data observability for pipelines
- Implement MLOps and LLMOps best practices
- Implement data quality tests monitoring and data contracts
- Industrialize AI and GenAI use cases
- Lead AI governance and responsible AI practices
- Lead project delivery and coordinate stakeholders
- Manage prompts and model security
- Orchestrate agent workflows
- Package machine learning models
- Provide technical code review and guide developers
- Run technical workshops with security IT and business
- Set up LLM observability
- Translate business needs into technical requirements
Perks/Benefits
- Career development
- Flexible work
- Further training
- Great Place to Work recognition
- Mobile work
- Smartworking
- Training catalog
Skills/Tech-stack
AWS | Azure | Azure Synapse | Batch data | Batch data pipelines | Batch pipelines | Bicep | CloudFormation | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lakehouse | Data Observability | Data Pipelines | Data Products | Data Quality | Data Science | Data Warehouse | Data mesh | Databricks | Dataiku | Docker | Fabric | GCP | Generative AI | Kubernetes | LLM Observability | LLMOps | Language Processing | MLOps | Machine Learning | Medallion Architecture | Micro Batch Pipelines | Micro-batch | Natural Language | Natural Language Processing | Prompt management | RAG | Responsible AI | Snowflake | Streaming Data | Streaming data pipelines | Terraform | Vector Databases
Education
N/A
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