Fullstack Senior Data Scientist
Tasks
- Build end-to-end GenAI applications
- Collaborate on scalable architectures and integrations
- Conduct PoCs for GenAI and evaluation techniques
- Design and implement RAG pipelines
- Gather technical requirements and estimate planned work
- Implement safety compliance and governance controls
- Lead GenAI discovery and solution design
- Mentor teams and develop reusable libraries
- Perform model selection prompting and fine tuning
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Agents | Amazon Web Services | Audit Logging | Azure | Azure DevOps | B testing | CI/CD | Chatbots | Cloud platform | Databricks | Docker | Evaluation Frameworks | Fine Tuning | Generative AI | GitHub Actions | GitLab | Google Cloud | Google Cloud Platform | Guardrails | Human-in-the-loop | Hybrid search | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | LoRA | PII handling | Prompt engineering | Python | QLoRA | Query Transformation | RAG | Reranking | Retrieval-Augmented Generation | SFT | Spark | The Loop | Vector Databases | Web Services
Education
N/A
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