LLM Data Scientist
4 weeks ago
LLM Data Scientist - Risk Summarization Expert
Job Description:We are seeking an experienced LLM Data Scientist to join our team and contribute to the development of next-generation agent-based software systems as part of our GenAI project. The ideal candidate will have strong expertise in prompt engineering, LLM fine-tuning, and inference tuning, and will work closely with cross-functional teams to address risks, ethical concerns, and the technical challenges of deploying AI solutions in production environments.
Key Responsibilities:- Design and optimize prompts to generate qualitative risk summaries for various CDD segments and countries.
- Modify machine learning pipelines to suit new segments and improve performance in risk summarization.
- Conduct LLM evaluations focused on knowledge, alignment, safety, and applicability.
- Work on retrieval-augmented generation (RAG) techniques to enhance information retrieval.
- Perform fine-tuning of large language models using efficient strategies like LoRA, QLoRA, and other techniques.
- Implement the solution on GCP, using tools like BigQuery, Vertex AI, Cloud Run, Cloud Build, and Artifact Registry for data processing and model deployment.
- Collaborate with cross-functional teams to ensure that AI models are ethically sound and meet the desired performance standards.
- Strong expertise in prompt engineering, LLM fine-tuning, and inference tuning.
- Experience with GCP tools such as BigQuery, Dataflow, Dataproc, Vertex AI, and Pub/Sub for data processing and analysis.
- Knowledge of CI/CD pipelines and tools such as Cloud Build and Artifact Registry.
- Experience working in highly regulated environments and addressing ethical concerns in AI.
- Experience with GPT-3 and other NLU libraries and tools.
- Knowledge of LoRA and QLoRA techniques for efficient LLM inference.
- Experience with cloud platforms such as GCP, Azure, or AWS.
We offer a dynamic and collaborative work environment, with opportunities for professional growth and development. If you are passionate about AI and data science, and have a strong desire to contribute to the development of next-generation agent-based software systems, we encourage you to apply for this exciting opportunity.
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