Senior Specialist, Data Science & Artificial Intelligence II
Tasks
- Build and deploy Generative AI models
- Build retrieval-augmented generation pipelines
- Deploy LLM applications using LLMOps
- Deploy machine learning models using MLOps
- Develop train and validate deep learning models
- Develop, train, and validate machine learning models
- Document model design assumptions risks and validation results
- Ensure responsible AI governance and compliance
- Evaluate LLM outputs for hallucinations and quality
- Implement prompt engineering strategies
- Integrate AI solutions via APIs into enterprise systems
- Monitor retrain and manage deployed model lifecycle
- Perform feature engineering
- Prepare cleanse and transform structured and unstructured data
- Tune models and optimize performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Data Preprocessing | Deep learning | Feature Engineering | Fine Tuning | LLMOps | MLOps | Machine Learning | Model Fine-tuning | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Vector Databases
Education
Regions
Countries
States
Cities
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