Regular Lead Data Scientist Gen AI
Tasks
- Apply reranking and query transformation
- Audit data feasibility
- Build MCP Connectors
- Build end-to-end Generative AI applications
- Develop vector database retrieval and hybrid search
- Evaluate model relevance and robustness
- Fine tune models with LoRA and QLoRA
- Implement rag pipelines
- Integrate LLMs with external tools APIs and data sources
- Optimize LLM tool orchestration
- Select and prompt LLMs
- Support project delivery
- Translate business problems into technical goals
Perks/Benefits
- Buddy onboarding program
- Certificate training programs
- Charity donation opportunities
- Flexible working hours
- Internal mobility
- Modern office equipment
- Refer friends bonuses
- Remote work option
- Unlimited Udemy access
- Upskilling support
- Well being and health activities
Skills/Tech-stack
Azure | Cloud platform | Databricks | Deep learning | Gemini API | Generative AI | Google Cloud | Google Cloud Platform | Huggingface | Hybrid search | Langchain | Langgraph | Language Processing | Llamaindex | LoRA | Machine Learning | Microservices | Model Context Protocol | Multimodal Models | Natural Language | Natural Language Processing | NumPy | OpenAI API | PyTorch | Python | QLoRA | Reranking | SFT | SQL | Vector Databases
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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