Manager Data Scientist / GenAI Engineer H/F
Tasks
- Build hybrid knowledge systems using vector databases and knowledge graphs
- Design and implement RAG architectures
- Design and implement multi agent workflows and orchestration
- Develop PoC and MVP and industrialize into production systems
- Develop prompt engineering strategies
- Ensure responsible AI governance and security mechanisms
- Implement LLMOps practices for evaluation monitoring and lifecycle management
- Integrate LLM applications for enterprise use
- Pilot delivery of AI GenAI and agentic AI projects from design to production
- Run client workshops and present technical architectures
- Translate business needs into scalable AI architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Amazon Neptune | Autogen | Azure | Azure OpenAI | CrewAI | Databricks | Datastream Processing | Embeddings | Evaluation | Google Cloud | Graph RAG | Knowledge graphs | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Monitoring | Neo4j | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Semantic Kernel | Snowflake | Spark | TensorFlow | Vector Databases | Vertex AI | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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