A ton of zero-shot / few shot / data labeling to customize and build models for
Some of the Key features / NLP overlaps
Custom Entity Recognition
- Education
- Place
- Company
- Domain
- Skills Extraction
Custom Embedding for
- Similar Projects Search
- Project Summarization
- Creating custom embedding for each domain
NLP + Ranking
- Ranking and retrieving based on location/salary/education
- Skill Distribution / Contribution
- Domain Extraction from Company names
Vision
- OCR + Vision for Content Retrieval
Search / Retrieval
- Vector database for Finetuning/indexing vector databases to search and retrieve the closest matches
From JD
- Familiar with Language models, and transformers like BERT, GPT-3, T-5 etc.
- Prior experience building and deploying machine learning models in production at scale
- Familiarity with MLOps tools and pipelines (MLflow, Metaflow).
- Integration with Workday, SuccessFactors, Taleo, PeopleSoft, iCIMS, SmartRecruiters,
- REST APIs, microservices, data ingestion and processing systems, and distributed systems.
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