Senior Consultant.e - Data & AI engineer (H/F)
Tasks
- Automate MLOps workflows
- Build RAG pipelines
- Build data lakehouse and data warehouse solutions
- Contribute to responsible AI compliance
- Deploy ML and GenAI use cases from PoC to production
- Design agentic AI architecture and orchestration
- Design data and AI architectures
- Develop data pipelines batch micro batch and streaming
- Enable data governance catalog lineage and access security
- Expose data for BI APIs and ML features
- Implement LLM observability
- Implement LLMOps best practices
- Implement data quality tests and monitoring
- Integrate agents with business systems and APIs
- Lead data engineering tech delivery
- Manage data schemas and data contracts
- Manage vector databases
- Perform code reviews
- Secure model API calls
- Set up data platform patterns and development standards
- Transform business processes into agent workflows
Perks/Benefits
Skills/Tech-stack
AI Agents | AWS | Azure | Bicep | Cloud platform | CloudFormation | Data Catalog | Data Contracts | Data Engineering | Data Governance | Data Lakehouse | Data Lineage | Data Observability | Data Products | Data Quality | Data Warehouse | Data mesh | Databricks | Dataiku | Docker | Google Cloud | Google Cloud Platform | Kubernetes | LLM security | LLMOps | MLOps | Observability | PySpark | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Snowflake | Terraform | Vector Database
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Senior Data Engineer
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