Lead Associate — Generative AI & Applied Data Science
Tasks
- Apply research and testing practices
- Build generative AI and LLM solutions
- Coordinate business needs and data availability
- Deploy and maintain production models
- Design risk measurement and financial valuation models
- Develop data visualizations and documentation
- Implement statistical modeling capabilities
- Integrate data and statistical models
- Monitor model performance in regulated environments
- Present solutions to business partners
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | CI/CD | Deep learning | Docker | Elasticsearch | Entity recognition | Faiss | Generative AI | Git | Hugging Face | Hugging Face Transformers | Jupyter | Keras | Kubernetes | Langchain | Language Models | Large Language Models | Linux | MLOps | Machine Learning | Milvus | NLG | NLP | NLTK | Named Entity Recognition | Ontology | OpenSearch | Pinecone | PySpark | PyTorch | Python | RAG | RDF | SPARQL | SQL | SageMaker | Solr | Spacy | TF-IDF | Tableau | TensorFlow | Text Embeddings | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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