ML/LLM Engineer - Applied AI
Tasks
- Apply responsible AI practices model evaluation and observability
- Build AI applications for healthcare and biopharma
- Build and optimize machine learning pipelines
- Fine-tune and evaluate large language models
- Implement retrieval strategies and prompt chaining
- Monitor and improve model quality latency explainability and safety
- Orchestrate inference for production applications
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Retirement plan
- Vision insurance
Skills/Tech-stack
Embeddings | Explainable AI | Inference Orchestration | Information Retrieval | Langchain | Language Models | Large Language Models | Latency optimization | Llamaindex | Model Evaluation | Model Monitoring | Model safety | Prompt Tuning | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Transformers | Vector Search
Education
N/A
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