
LLM Data Scientist
2 days ago
Description :
Key Responsibilities :
- Design and build scalable LLM platforms with seamless integration capabilities.
- Develop, train, and deploy machine learning and generative AI models in production environments.
- Create and maintain connectors for various data sources to ensure efficient data flow and real-time processing.
- Deploy and manage business dashboards that provide real-time insights into LLM performance and usage.
- Conduct drift analysis to identify and mitigate deviations in model performance over time.
- Implement data integration strategies for managing large, complex datasets efficiently.
- Collaborate with cross-functional teams to integrate new use cases into existing LLM ecosystems.
- Establish monitoring frameworks and validation protocols to ensure model quality and reliability.
- Enhance user experience through intuitive UI tools and visualization components for model interaction.
Required Technical Skills :
- Proven experience building and scaling LLM or AI platforms (platform-level integration is a must)..
- Advanced proficiency in Python and popular machine learning/data science libraries (e.g., TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn)..
- Strong experience with data integration, pipeline orchestration, and large dataset management.
- Knowledge of ML model validation techniques, drift detection, and performance optimization.
- Experience developing monitoring tools, analytics dashboards, and web-based UI interfaces.
- Familiarity with modern ML Ops practices, CI/CD pipelines, and cloud environments (AWS, GCP, or Azure)..
- Hands-on experience in LLM fine-tuning, API integration, and prompt engineering is highly desirable.
Preferred Qualifications :
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, or Data Engineering.
- Experience with LangChain, Hugging Face Transformers, or OpenAI APIs.
- Prior exposure to Generative AI systems and enterprise-scale AI deployments.
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