Senior Machine Learning Engineer
Tasks
- Build NER models
- Collaborate with engineering and product teams
- Create entity resolution frameworks
- Deduplicate and merge records
- Deploy ML models
- Design agentic workflows
- Develop multilingual entity recognition
- Implement evaluation frameworks
- Implement vector based retrieval pipelines
- Integrate knowledge graph signals
- Invent transformer retrieval architectures
- Productionize RAG systems
- Run A B testing and backtesting
- Scale machine learning solutions
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Deduplication | Distillation | Embedding Models | Entity Resolution | Entity recognition | Fine Tuning | Graph RAG | Information Retrieval | Knowledge graph | Language Processing | Machine Learning | Model Fine-tuning | Named Entity Recognition | Natural Language | Natural Language Processing | PyTorch | Python | Quantization | Record Linkage | Retrieval-Augmented Generation | TensorFlow | Transformer | Vector Database | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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