Member of Technical Staff - AI/ML Engineer
Tasks
- Build LLM agents for title diligence
- Build document extraction pipelines
- Calibrate model confidence for legal outputs
- Create evaluation harnesses for production quality
- Deploy and monitor ML models in production
- Design agent tool use and context management
- Design fraud and anomaly detection models
- Develop annotation taxonomies and eval datasets
- Develop classical ML ranking and retrieval systems
- Fine tune VLMs for document understanding
- Implement entity resolution for noisy records
- Optimize inference latency and cost
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | BM25 | Computer Vision | Document Understanding | Entity Resolution | Evaluation | Inference Optimization | Kubernetes | Language Models | Large Language Models | LoRA | Machine Learning | Model calibration | Multilingual NLP | OCR | Preference optimization | PyTorch | Python | QLoRA | RAG | SFT | Torch | VLLM
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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