Regular Lead Data Scientist Gen AI
Tasks
- Audit data feasibility
- Build end-to-end Generative AI applications
- Define technical goals from business problems
- Evaluate model outputs and A B testing
- Fine tune LLMs with LoRA and QLoRA
- Implement MCP connectors
- Implement rag pipelines
- Integrate LLMs with external tools and APIs
- Optimize LLM prompting strategies
- Support project delivery
Perks/Benefits
- Certificate training programs
- Charity donation opportunities
- Community webinars
- Flexible working hours
- Knowledge sharing sessions
- Modern office equipment
- Online onboarding buddy
- Remote work option
- Unlimited Udemy access
- Upskilling support
- Well being and health support
Skills/Tech-stack
A/B | A/B Testing | Azure | B testing | Cloud platform | Deep learning | Fine Tuning | Google Cloud | Google Cloud Platform | Huggingface | Hybrid search | Langchain | Langgraph | Language Processing | Llamaindex | LoRA | Machine Learning | Microservices | Model Evaluation | Multimodal Models | Natural Language | Natural Language Processing | NumPy | PyTorch | Python | QLoRA | Query Transformation | Reranking | SQL | Supervised Fine Tuning | Vector Database
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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