Senior Data Scientist
Tasks
- Build GenAI and LLM solutions
- Build RAG systems
- Build machine learning algorithms
- Communicate findings to stakeholders
- Create data pipelines
- Deploy and validate models
- Develop MLOps processes
- Develop statistical models
- Document code and results
- Evaluate model performance
- Perform exploratory data analysis
- Visualize data insights
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Attention Mechanisms | Azure | BLEU | Bioconductor | Containerization | Deep learning | Fine Tuning | Ggplot2 | Google Cloud | Hugging Face | LLM Fine-tuning | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Matplotlib | Model Evaluation | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Perplexity | Prompt engineering | PyTorch | Python | R | ROUGE | Retrieval-Augmented Generation | Scikit-learn | Seaborn | Statistical modeling | Tableau | TensorFlow | Tokenization | Vector Databases | Vector embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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