eDiscovery Data Scientist | Technology Consulting
Core
Develop and deploy Generative AI and Machine Learning solutions for eDiscovery, including summarization, classification, and entity extraction for legal disputes and investigations.
Role type
Applied Machine Learning Engineer (eDiscovery)
Builds
Production AI/ML pipelines, RAG systems, and semantic search tools for client legal architectures
Domain
Legal Technology / eDiscovery / Generative AI
Deliverable
production ML models
Required skills
NLP/IR/ML system development, LLM application, deep learning, traditional ML, Python, R, software engineering for prototyping
Preferred skills
Elasticsearch/OpenSearch, C#/.NET, Docker, Kubernetes, cloud architecture (AWS/Azure), customer-facing experience
Technologies
Azure OpenAI, AWS Bedrock, Elasticsearch, OpenSearch, Docker, Kubernetes, AWS, Azure
Responsibilities
Prototype and implement AI/ML solutions on client datasets, develop RAG pipelines and semantic search, create evaluation pipelines, survey emerging technologies, share work with clients and colleagues
Seniority
Mid-level, hands-on IC