LLM Data Scientist

4 weeks ago


Remote, Czech Republic Link Group Full time
Job Title:

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.
Requirements:
  • 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.
Preferred Skills:
  • 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.
What We Offer:

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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