Lead Data Scientist
Tasks
- Build Retrieval Augmented Generation systems
- Collaborate with cross functional healthcare and regulatory teams
- Design LLM GenAI solutions
- Develop backend APIs and services
- Develop data pipelines with embeddings and vector databases
- Ensure AI governance, data protection, and regulatory compliance
- Fine-tune and evaluate machine learning models
- Implement LLM Ops workflows
- Implement model monitoring and testing frameworks
- Optimize model performance with quantization and caching
- Produce technical documentation and runbooks
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Access Control | Anonymization | Audit Logging | CI/CD | Caching | Cloud Platforms | Containers | Cost Optimization | Distillation | Embeddings | Event Driven | Event-driven architecture | Fairness | Fine Tuning | GDPR | Generative AI | Hallucination Rate | Infrastructure as Code | Knowledge bases | LLM-Ops | Langchain | Langfuse | Language Models | Large Language Models | Latency optimization | Llamaindex | LoRA | Microservices | Model Evaluation | Model Fine-tuning | Monitoring | Observability | PEFT | Prompt engineering | Quantization | Retrieval-Augmented Generation | Serverless | Test automation | Testing | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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