Data Scientist -NLP, Deep Learning, GenAI-( 8 Years)
Tasks
- Build fine tune and evaluate LLM models
- Continuously optimize ML pipelines
- Deploy models using MLOps
- Design implement NLP workflows
- Develop embeddings semantic search and vector database solutions
- Develop end to end NLP and GenAI solutions
- Implement prompt engineering strategies
- Monitor model performance and conduct error analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | BERT | Cloud Computing | Embeddings | GPT | Generative AI | Hugging Face | Language Models | Language Processing | Large Language Models | Llama | MLOps | Model Deployment | Model Monitoring | NLTK | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Semantic Search | Spacy | Summarization | T5 | TensorFlow | Text Classification | Transformers | Vector Databases
Education
N/A
Roles
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