Senior Machine Learning Engineer
Tasks
- Build NLP applications
- Collaborate with data scientists software engineers data engineers and QA engineers
- Collaborate with taxonomy experts for dataset annotation
- Convert natural language into features for classification algorithms
- Develop machine learning algorithms and modeling techniques
- Evaluate algorithm performance criteria
- Implement scalable production ready models and code
- Improve user search functionality
- Integrate LLM models into production platform
- Keep current with machine learning best practices and open source frameworks
- Prepare annotated datasets
- Run experiments to verify model results
Perks/Benefits
- N/A
Skills/Tech-stack
Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | SQL | Semantic Extraction | Supervised Learning | Text Representation | Transformer Models | Unsupervised Learning
Education
Regions
Countries
States
Cities
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