Senior AI Engineer
Tasks
- Build RAG pipelines
- Collaborate with data science and engineering teams
- Conduct peer code reviews
- Deploy LLMs for clinical decision support
- Design deep clustering pipelines
- Detect drift in inputs embeddings and outputs
- Develop and optimize deep learning models
- Ensure HIPAA compliant handling of PII PHI data
- Evaluate retrieval and generation quality
- Implement LLM evaluation and monitoring
- Research transformer based healthcare models
- Translate model results to business impact
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Clustering | Deep learning | Docker | Embeddings | Git | HDBSCAN | HIPAA | Kubernetes | LLM | Monitoring | NLP | Observability | PII | Phi | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | TensorFlow | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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