Lead Data Scientist
Tasks
- Architect and deploy AI/ML products on cloud
- Build NLP pipelines for information extraction and classification
- Build RAG pipelines with vector databases
- Design evaluation safety and monitoring for GenAI
- Design, train, and optimize machine learning models
- Fine tune pretrained language models
- Integrate AI models into production systems
- Integrate LLMs into production systems
- Lead NLP solution development
- Mentor junior data scientists
- Perform SQL analytics
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | BERT | CI/CD | Cloud platform | Databricks | Docker | ELT | ETL | Embeddings | Feature Stores | GPT | Google Cloud | Google Cloud Platform | Hugging Face | Kubeflow | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLflow | Matplotlib | Model Serving | Model retraining | Monitoring | NLTK | Observability | Power BI | Prompt Optimization | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Spark | Tableau | TensorFlow | Transformers | Vector Databases
Education
N/A
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