Senior Consultant.e - Data & AI engineer (H/F)
Tasks
- Automate MLOps workflows
- Build RAG pipelines
- Build data pipelines batch micro batch streaming
- Collaborate on data and AI platform patterns and standards
- Coordinate stakeholders and ensure delivery
- Design architectures for AI agent workflows
- Design modern data architectures
- Ensure compliance with AI governance
- Expose data to BI APIs and ML features
- Implement LLM observability
- Implement LLMOps practices
- Implement data observability for pipelines
- Implement data quality tests monitoring schema management
- Industrialize AI and GenAI from PoC to production
- Integrate agent systems with business APIs and tools
- Lead and mentor data engineering teams
- Manage prompts for LLMs
- Manage vector databases
- Orchestrate agent workflows
- Package machine learning models
- Plan technical projects and deliverables
- Provide technical lead for data engineering squads
- Secure model API calls
- Set up data governance catalog lineage access security
Perks/Benefits
Skills/Tech-stack
Access Security | Amazon Web Services | Azure | Bicep | Cloud platform | CloudFormation | Data Catalog | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Observability | Data Products | Data Quality | Data Warehouse | Data mesh | Databricks | Databricks SQL | Dataiku | Docker | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | LLM Observability | LLMOps | Lakehouse | MLOps | Machine Learning | Observability | Prompt engineering | PySpark | Python | RAG | Retrieval-Augmented Generation | SQL | Snowflake | Terraform | Vector Database | Web Services
Education
N/A
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