Data Scientist Specialist
Tasks
- Build and evaluate Generative AI solutions
- Design MLOps workflows for model deployment and monitoring
- Develop and deploy data science solutions
- Document code and maintain API based solutions
- Evaluate model performance and analyze errors
- Implement RAG and embeddings based systems
- Move analytics and AI solutions from prototype to production
- Perform feature engineering and data preparation
- Train and validate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
API | CI/CD | Data Preparation | Databricks | Deep learning | Embeddings | Error Analysis | Experiment tracking | Feature Engineering | Git | LLM Evaluation | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Training | Model Validation | Model versioning | NumPy | Pandas | Prompt engineering | Python | Retrieval-Augmented Generation | SageMaker | Scikit-learn | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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