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