Data Scientist (Generative AI)
Tasks
- Build end-to-end GenAI applications
- Define success metrics and translate business goals into technical plans
- Design and implement RAG pipelines
- Integrate LLMs with external tools and APIs
- Perform model selection prompting and fine tuning
- Support pre-sales activities
- Support project delivery
Perks/Benefits
Skills/Tech-stack
A I | A I APIs | A/B | A/B Testing | API Integration | Azure | B testing | Databricks | Deep learning | Fine Tuning | GCP | Gemini | Generative AI | Guardrails | Huggingface | Hybrid search | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | LoRA | MCP | Machine Learning | Microservices | Model Context Protocol | Model Evaluation | Natural Language | Natural Language Processing | OpenAI | Prompt engineering | PyTorch | Python | QLoRA | Query Transformation | RAG | Reranking | SFT | SQL | Vector Databases
Education
Roles
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