Lead Machine Learning Engineer
Tasks
- Apply NLP architectures
- Apply computer vision for document understanding
- Build production machine learning models
- Build scalable AI systems
- Classify and tag images
- Conduct research and evaluation
- Deploy models to production
- Design online metrics
- Design user feedback for AI features
- Detect layout and objects
- Extract contextual information
- Generate text representations
- Monitor performance metrics
- Perform model development
- Perform semantic retrieval
- Summarize documents
- Train and evaluate machine learning models
- Translate user scenarios into ML solutions
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data Processing | Data cleaning | Deep learning | Document Understanding | Language Modeling | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | OCR | PyTorch | Python | Semantic Retrieval | TensorFlow | Text extraction
Education
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